The realm of education marketing is in a constant state of evolution, with new trends and technologies continuously reshaping the landscape. In a world where students are increasingly tech-savvy and digitally connected, education institutions must keep up with the latest marketing trends to effectively reach and engage their target audience.
The rise of digital technology has opened new avenues for communication, from personalized emails to AI-powered chatbots that can answer a student’s plea to “who can write my term paper.” In this article, we will explore seven education marketing trends that are expected to dominate in 2023, from the use of video content to enhanced website user experiences and the rise of AI.
As the landscape continues to change, understanding these trends will be key for educational institutions looking to stand out and connect with prospective students in a meaningful and impactful way.
Personalization in Marketing
Personalization has become the cornerstone of effective marketing, and the education sector is no exception. From personalized emails to targeted advertisements, schools, and universities are using data-driven insights to tailor their marketing efforts to prospective students. This trend is expected to continue in 2023, with an increasing number of educational institutions leveraging AI and machine learning to deliver personalized marketing messages.
Increased Use of Video Content
Video content is an effective tool for education marketing, capable of conveying a large amount of information in an engaging manner. Schools and universities are increasingly using video tours, student testimonials, and educational content as part of their marketing strategies. The year 2023 will see the proliferation of video content in education marketing, with an increased emphasis on live video sessions and interactive video content.
Social Media Engagement
Social media has emerged as a critical platform for education marketing. It allows schools and universities to engage directly with prospective students and their parents. The trend of using social media for education marketing will continue to grow in 2023, with an increased focus on platforms like Instagram and TikTok that are popular among younger audiences.
Enhanced Website User Experience
An educational institution’s website is often the first point of contact for prospective students. As a result, institutions are investing in enhancing the user experience of their websites. This includes intuitive navigation, mobile-friendly design, high-quality content, and easy-to-use application portals. In 2023, we can expect to see continued emphasis on website user experience in education marketing.
Artificial Intelligence and Chatbots
Artificial Intelligence (AI) is revolutionizing education marketing. AI-powered chatbots, in particular, are increasingly being used to engage with prospective students, answer their queries, and guide them through the application process. This trend is likely to intensify in 2023, with more educational institutions adopting AI and chatbot technology in their marketing efforts.
Focus on Lifelong Learning
With the increasing pace of technological change, there is a growing demand for lifelong learning opportunities. Educational institutions are responding to this demand by offering more flexible and accessible learning options, such as online courses and professional development programs. In 2023, marketing these lifelong learning opportunities will become a key focus for educational institutions.
Data-Driven Decision Making
Data is playing an increasingly important role in education marketing. Schools and universities are using data analytics to understand prospective students’ behavior, track marketing campaign performance, and make informed decisions. The use of data in education marketing will continue to grow in 2023, with institutions leveraging advanced analytics tools to drive their marketing strategies.
Rise of Influencer Marketing
Influencer marketing has proven to be effective in various sectors, and education is no exception. Educational institutions are increasingly collaborating with influencers, especially those who appeal to young audiences, to showcase their offerings and reach prospective students. This trend of using popular online figures to influence prospective students’ decisions is expected to grow in 2023.
Virtual Reality (VR) and Augmented Reality (AR) Experiences
As VR and AR technologies become more accessible, their use in education marketing is expanding. Virtual tours of campuses, AR-enhanced prospectuses, and VR class experiences are just a few ways these technologies are being utilized. These immersive experiences offer prospective students a unique insight into an institution and its offerings, making them a strong marketing tool.
Emphasis on Sustainability
Sustainability is a growing concern among students and parents, and educational institutions are responding to this by promoting their sustainability initiatives. Whether it’s sustainable campuses, green programs, or research in sustainability, showcasing these efforts has become a key part of education marketing. This trend is expected to continue growing in 2023 as students increasingly consider an institution’s commitment to sustainability in their decision-making process.
Mobile-First Marketing
With the ubiquitous use of smartphones, educational institutions are adopting a mobile-first approach to their marketing efforts. This means optimizing all content, from websites to emails, for mobile viewing. The use of mobile apps for marketing is also on the rise. As more and more prospective students use their mobile devices for information gathering, this trend is expected to dominate in 2023.
Podcasts and Audio Content
The popularity of podcasts and audio content has been steadily increasing, and education marketers are taking note. Universities and schools are producing podcasts to share knowledge, discuss campus life, or delve into subjects related to their programs. They are even utilizing this format to guide students to the best paper writing services available. This format allows institutions to engage with prospective students in a more personal and in-depth manner. In 2023, we can expect to see greater adoption of podcasts and audio content in education marketing.
In conclusion, education marketing is evolving rapidly, driven by advances in technology and changes in student behavior. By keeping an eye on these trends, educational institutions can stay ahead of the curve and effectively reach and engage with prospective students.
Managing finances can be challenging, especially for students who are just entering adulthood and becoming financially independent. Yet, with the right tools and resources, it is possible to develop good financial habits and achieve financial stability.
If you want to improve your financial literacy, avoid financial stress, and achieve long-term financial stability, we can help. There are many tools and resources available that can simplify the budgeting process. Today, we’ll go over six budgeting tools that students can use to manage their finances effectively. Continue reading to find out more!
6 Best tools for students to effectively manage their finances
Mint
Cost: free
Platform: Android, iOS
Mint is a money management app that helps you keep track of your finances in one place. With Mint, you can connect all your bank accounts, credit cards, and bills to see your balances and transactions in real time. The app also categorizes your spendings. Thus, you can see where your money is going and make adjustments to your budget accordingly.
In addition, Mint provides personalized insights and advice to help you save money and reach your financial goals. Whether you want to save money to hire dissertation help, a music production course, or a new pair of shoes, Mint can help. It is a powerful tool for anyone looking to take control of their finances and improve their financial well-being.
PocketGuard
Cost: free, with the possibility of switching to a premium plan
Platform: Android, iOS
PocketGuard is a bill organizer and budget planner that will help you stay on top of your expenses. The app syncs with your bank accounts and credit cards, categorizes your transactions, and shows you exactly how much money you have left to spend. You can set up custom spending limits for different categories and receive alerts when you’re approaching your limit. Groceries, entertainment, and transportation are examples of such categories.
PocketGuard also assists you in saving money by finding ways to lower your bills. For example, by switching to a lower-cost cell phone plan or negotiating a lower interest rate on your credit card. Whether you’re looking to save for a big purchase, pay off debt, or just stay on top of your bills, PocketGuard has everything you need to stay organized and in control of your finances.
YNAB (You Need a Budget)
Cost: free trial for 34 days, plans start at $8.25/month
Platform: Android, iOS
The You Need a Budget app, or YNAB, will help you change your relationship with money. The app’s philosophy is centered around the idea of giving every dollar a job. This means that you allocate your income to specific categories such as rent, groceries, or entertainment. By doing so, you gain greater control over your finances and avoid overspending in any one area.
Additionally, YNAB offers a range of educational resources to help you build good financial habits. Thus, you can save money and achieve your long-term financial goals faster. So, whether to save money for the best research paper writing services to lighten your university workload or pay off student debt, YNAB will help you take control of your finances. Be sure to give it a try and see how it can benefit you.
Acorns
Cost: plans start at $3/month
Platform: Android, iOS
The Acorns app is a little bit different from all the other apps we’ve looked at. It is more than just a money-saving app. Acorns is an investment app that helps users save and invest their spare change. The app rounds up purchases made on linked debit or credit cards to the nearest dollar. After that, it invests the difference in a diversified portfolio of exchange-traded funds (ETFs).
With Acorns, users can start investing with as little as $5 and set up automatic investments to help them reach their financial goals. Thus, you can save for your future, kids, or retirement. The app is backed by investors like Blackrock, PayPal, Dwayne Johnson, and Ashton Kutcher. So, you don’t have to worry about the safety of your money.
Splitwise
Cost: free, with the possibility of switching to a Pro plan
Platform: Android, iOS
Next on the list is Splitwise, which can be especially useful for students who share space with others. With Splitwise, you can keep track of your shared expenses and balances with housemates, trips, groups, friends, and family. Moreover, the app allows you to set reminders for payments and settle debts through various payment methods.
Splitwise takes away the hassle of manual calculations and helps you avoid any misunderstandings or conflicts over shared expenses. Therefore, if you want to maintain transparency in your financial dealings with others, you should definitely give Splitwise a try.
Honeydue
Cost: free
Platform: Android, iOS
Last but not least is Honeydue. This one will come in handy for budgeting with a partner. Honeydue is a mobile app that allows couples to track their spending and budget together. It allows you to create joint accounts and synchronize bank accounts. Thus, both partners can see all transactions and account balances in real-time.
Honeydue can help eliminate any surprises or disagreements about money and help couples work towards their financial goals together. Additionally, Honeydue offers useful features that make budgeting even easier. These include bill reminders and the categorization of expenses.
To sum up
Budgeting is an essential skill for students to learn in order to manage their finances effectively. With the help of these seven tools, you can easily track your expenses, create a budget, and save money for the future.
By making small changes to one’s spending habits and utilizing these tools, students can achieve their financial goals and avoid unnecessary debt. It may take some time and effort to get started, but the long-term benefits of budgeting are well worth it. So, take control of your finances today and start budgeting like a pro!
Retail analytics involves collecting, analyzing, and interpreting retail operations and consumer behavior data. It uses various data sources, such as sales transactions, customer interactions, inventory data, and market trends, to gain insights and make informed decisions that drive business growth and optimize retail operations.
Top Trends in Retail Analytics
Here are three top retail analytics trends that are revolutionizing the industry.
Predictive Analytics:
Predictive analytics controls past data, machine learning algorithms, and statistical models to predict imminent results and tendencies. In retail, predictive analytics helps businesses make informed decisions regarding demand forecasting, inventory management, pricing optimization, and personalized marketing campaigns. It enables retailers to anticipate customer preferences, optimize product assortments, and enhance operational efficiency.
Customer Journey Analytics
Customer journey analytics provides insights into the end-to-end customer experience across various touchpoints and channels. By analyzing customer interactions, behaviors, and preferences, retailers can comprehensively understand their customers’ journeys. It helps identify pain points, optimize customer engagement strategies, personalize experiences, and drive customer loyalty and retention.
Artificial Intelligence (AI) and Machine Learning (ML)
AI and ML technologies are transforming the retail industry by automating processes, enabling personalization, and driving intelligent decision-making. AI-powered chatbots and virtual assistants improve customer service and support, while recommendation engines provide personalized product recommendations based on customer preferences and behaviors. ML algorithms help retailers analyze large volumes of data, identify patterns, and uncover insights that drive strategic business decisions.
Key Areas in Retail Analytics
Retail analytics leverages data visualization, dashboards, machine learning, and predictive modeling tools to transform raw data into actionable insights. By utilizing retail analytics, businesses can make data-driven decisions, enhance operational efficiency, personalize customer experiences, optimize pricing and inventory management, and ultimately drive growth and profitability in the competitive retail landscape.
Sales Analytics
Sales analytics analyzes sales data to understand patterns, trends, and performance metrics. It involves examining sales by product, category, store location, time period, and customer segment to identify top-selling items, peak sales periods, and areas of opportunity for improving revenue and profitability.
Inventory Analytics
Inventory analytics analyzes inventory data to optimize stock levels, minimize out-of-stock situations, and reduce excess inventory. It involves monitoring inventory turnover, identifying slow-moving or obsolete items, and forecasting demand to ensure optimal inventory management and reduce carrying costs.
Customer Analytics
Customer analytics includes customer data analysis to get insights into customer behavior, inclinations, and buying patterns. It helps retailers understand customer segments, identify high-value customers, personalize marketing efforts, and improve customer engagement and loyalty.
Pricing Analytics
Pricing analytics involves analyzing pricing data, competitor prices, and market trends to optimize pricing strategies. It helps retailers determine optimal price points, assess price elasticity, and develop dynamic pricing models to maximize revenue and profitability.
Market Basket Analysis
Market basket analysis examines transaction data to identify associations and relationships between products frequently purchased together. It helps retailers understand customer buying behavior, improve cross-selling and upselling strategies, and optimize product placement and promotions.
Supply Chain Analytics
Supply chain analytics focuses on analyzing data related to the supply chain, including supplier performance, transportation, and logistics. It helps retailers optimize supply chain processes, reduce costs, improve inventory flow, and ensure timely and efficient product delivery.
Store Operations Analytics
Store operations analytics involves analyzing data related to store performance, including foot traffic, sales per square foot, conversion rates, and customer satisfaction. It helps retailers optimize store layouts, staffing levels, and merchandising strategies to improve customer experience and drive sales.
Importance of retail analytics
Retail analytics plays a crucial role in the success and competitiveness of retail businesses. Here are some important reasons why retail analytics is important:
Data-Driven Decision Making
Retail analytics allows retailers to make informed, data-driven decisions instead of relying solely on intuition or guesswork. By analyzing and interpreting data, retailers can identify trends, patterns, and insights that guide strategic planning, optimize operations, and drive business growth.
Understanding Customer Behavior
Retail analytics provides valuable insights into customer behavior, preferences, and buying patterns. By analyzing customer data, retailers can understand their target audience better, identify customer segments, personalize marketing efforts, and deliver exceptional customer experiences. This understanding helps build customer loyalty, attract new customers, and increase sales.
Improving Inventory Management
Effective inventory management is essential for retail success. Retail analytics enables retailers to accurately analyze inventory data, monitor stock levels, and forecast demand. It helps optimize inventory turnover, reduce stockouts and overstock situations, minimize carrying costs, and improve inventory management efficiency.
Enhancing Sales and Marketing Strategies
Retail analytics empowers retailers to analyze sales data, identify top-selling products, assess sales performance, and optimize pricing strategies. By understanding customer preferences, retailers can create targeted marketing campaigns, develop personalized promotions, and optimize pricing decisions to drive sales and increase revenue.
Competitive Advantage
In a highly competitive retail landscape, retailers that leverage analytics have a significant advantage.
Cost Reduction and Efficiency Improvement
Retail analytics helps identify areas of operational inefficiencies and cost-saving opportunities. By analyzing supply chain, logistics, and store operations data, retailers can optimize processes, reduce costs, minimize waste, and improve overall operational efficiency.
Final Words
These trends showcase the growing significance of data-driven decision-making and advanced analytics in the retail industry. Connecting with the power of retail analytics enables the businesses to gain a competitive edge. It also helps to optimize operations and retain customers by delivering the best user experience in a dynamic retail landscape.
For real estate, there’s nothing more important than location Whether looking for a place to live or identifying the best place for commercial property – location is the most crucial factor.
Companies in the space are looking beyond simple location classifications like zip codes or areas. Instead, more robust modeling and new datasets have opened the door to understand how neighborhoods are changing and what the people who live in specific areas want from their location.
Let’s look at how data is innovating the in real estate space.
Data for real-estate investment
Evaluating and investing in new real estate opportunities requires extensive research and due diligence.
It pays to be the first to identify an up and coming area, but many companies have access to the same resources to try and understand where these hot neighborhoods are.
Emerging data sets, such as location are changing this. Movement data is giving real estate investment companies a head start, allowing them to understand the potential of a neighborhood before the competition.
Big data is allowing companies to answer the difficult question such as:
How to identify new neighborhoods or areas that are good prospects for investment
How to understand regional risks when investing
Location data is incredibly valuable in this area, not just because of the geographical nature of real-estate, but because the value of a property or area is determined by what happens in the surrounding area.
Real-estate value is closely linked to social and economic conditions – concepts that can be understood by using device location data. So the better your data, the better your insight into the investment potential of a specific region or area.
Utilizing location data alongside real estate demographic data and other third-party data sets allow real-estate to identify an investment opportunity early and measure and analyze the investment that you have already made.
Planning and development
For commercial real estate, the power of data is just as impactful as in the residential sector. Forget about costly to integrate footfall management systems. Location data can understand footfall across all real-estate properties, including your competitors. The most successful companies are using these real estate data analytics to adapt and plan in real-time.
Identify the most valuable spots
Location data can identify footfall in retail properties, both passing by and entering. Detailed metrics into visits and visit length can help understand the value of each location.
These insights can even lead to dynamic rent pricing or could also function as an add on product for tenants wanting to understand the benefits of their commercial property.
Increase operational efficiency
Real estate data can also help to improve operational efficiency. For commercial properties with vast amounts of footfall, such as airports, understand patterns around movement can significantly contribute to enhancing operations and optimized unused space.
These insights can be extended when developing new properties and planning from the initial placement of the project, to individual placement of retail booths inside. Predictive analytics in real estate is now commonplace and is having a huge effect on planning and development in the industry.
Advertising and marketing
Data isn’t just for planning and investment. Data has transformed the world of advertising and marketing, and this is true for the real estate industry.
Over 90% of home buyers start their search for a house online. Data is filling in the gaps between what the consumer wants and the ads that real estate delivers to these potential customers.
Datasets are making marketing and advertising more personal for these prospective customers. Ads can be targeted to those who have visited estate agents or personalized based on regular behavioral patterns. All allowing the real estate company to engage with a new audience in a personalized way.
This behavioral data can also be used to create a more engaging search process – where results are tailored to the user. This extends through to any consultation process, with the rise of chatbots, such as WhatsApp Chatbot and automation solutions requiring powerful data to be more productive.
In the dynamic landscape of language services, the demand for accurate and efficient transcription has never been more pronounced. As individuals, businesses, and researchers engage with German content, the importance of choosing the right German transcription service comes to the forefront. In this exploration, we delve into the considerations and factors essential for navigating the spectrum and selecting a German transcription service that aligns seamlessly with diverse needs.
The Crucial Role of Transcribing German Audio to Text
At the core of this discussion lies the pivotal practice of transcribing German audio to text—a process that involves converting spoken German into written form. This transformation holds immense significance across various domains, from academic research and legal documentation to content creation and language learning. Transcribing German audio to text as a catalyst for accessibility, comprehension, and effective communication.
Why Opt for Professional German Transcription Services?
While the DIY approach might seem tempting, opting for professional German transcription services offers a myriad of advantages that extend beyond mere convenience. Here are key reasons why seeking professional assistance is a strategic choice:
1. Linguistic Expertise
German, renowned for its linguistic intricacies and regional variations, demands a nuanced understanding. Professional transcription services boast teams of linguists with expertise in the German language. Their familiarity with dialects, colloquial expressions, and cultural subtleties ensures a more accurate and authentic transcription.
2. Accuracy and Quality
Precision is paramount in transcription, especially in contexts such as legal proceedings, academic research, and business documentation. Professional services employ rigorous quality assurance measures, including multiple rounds of review, to guarantee a high level of accuracy in transcriptions. This attention to detail sets them apart from generic or automated transcription options.
3. Industry-Specific Knowledge
Different sectors have distinct transcription needs. Legal documents require precision, academic research demands thoroughness, and business content may necessitate an understanding of industry-specific terminology. Professional German transcription services often specialize in specific industries, ensuring that transcriptions align with the unique requirements of each sector.
4. Confidentiality Assurance
In fields like legal and medical transcription, confidentiality is non-negotiable. Professional services prioritize data security, employing robust protocols to safeguard client information. This commitment to confidentiality makes them a reliable choice for sensitive content that requires utmost privacy.
5. Technological Advancements
The realm of transcription is evolving with technological advancements. Professional services leverage cutting-edge technologies, including speech recognition and natural language processing, to enhance the efficiency of the transcription process. This integration of technology contributes to faster turnaround times without compromising on quality.
Key Considerations in Choosing a German Transcription Service
As you embark on the journey of selecting a German transcription service, certain considerations should guide your decision-making process. Here are essential factors to ponder:
1. Linguistic Capabilities
Ensure that the service provider has a team of linguists proficient in German. Familiarity with different German dialects, regional variations, and cultural nuances is crucial for accurate transcriptions that capture the authenticity of the spoken word.
2. Industry Specialization
Determine whether the service has expertise in your specific industry. Whether it’s legal, medical, academic, or business transcription, industry-specific knowledge ensures that the transcriptions meet the standards and requirements of your field.
3. Technological Infrastructure
Consider the technological capabilities of the service. Look for providers that integrate advanced technologies for efficient and accurate transcriptions. Speech recognition and natural language processing contribute to the precision and speed of the transcription process.
4. Quality Assurance Processes
Inquire about the quality assurance measures in place. Reliable services conduct multiple rounds of review by linguists, proofreaders, and editors to eliminate errors and ensure the overall quality of the transcriptions.
5. Turnaround Time
Evaluate the turnaround time offered by the service provider. While speed is important, it should not come at the expense of accuracy. A balance between efficiency and precision ensures that you receive timely transcriptions without compromising on quality.
6. Customization Options
Consider whether the service offers customization options. Depending on your project, you may have specific formatting preferences, timestamps, or other requirements. A service that accommodates customization ensures that the transcriptions align with your unique needs.
7. Cost Transparency
Transparency in pricing is essential. Look for providers with clear and understandable pricing structures. Costs should be detailed based on factors such as audio length, complexity, and turnaround time. Transparent pricing eliminates ambiguity and establishes a trusting client-provider relationship.
Conclusion
In conclusion, the process of choosing the right German transcription service is a nuanced journey anchored in linguistic expertise, technological prowess, and industry-specific knowledge. Professional services play a pivotal role in unlocking the potential of spoken German, transforming it into a written form that transcends linguistic barriers and fosters effective communication.
As the global landscape continues to evolve, the importance of accurate and reliable transcription becomes increasingly evident. By selecting a German transcription service that aligns with your unique needs, you empower your communication endeavors with precision, ensuring that the nuances of the German language are preserved and conveyed authentically in the written realm.
The features of this application are not limited to cataloging photos, on the contrary, it is one of the side functions. Thanks to the tools based on the use of AI, the work with the program will not cause difficulties even for the novice.
With its help, you can do processing of photos of any complexity, including it can be considered image stacking software. If you want to expand the capabilities of this app you can do so by following this link https://skylum.com/luminar/focus-stacking
Adobe Lightroom
A professional app used for both retouching and organizing photos. The possibilities for organizing your files archive in Lightroom are impressive:
It has an easy-to-use file import and export system that lets you easily add photos to your collection and organize them into folders.
Lightroom also has smart virtual folders, as well as tagging and rating of pictures. You can search the archive for pictures by keywords, metadata, and file attributes.
It also supports facial recognition.
You can also use this application as software for focus stacking.
However, it is primarily a tool for professional and avid amateur photographers. For a simple organization of home photo archives, its features are clearly too much.
https://unsplash.com/photos/l82NzBSYbj0
Adobe Bridge
Adobe has another program that is designed to work with your media library, – Adobe Bridge. It can’t edit photos, but it has a lot of sorting capabilities: tags, ratings, collections, dates, and keywords.
This is a really good tool that will come in handy for both professionals and owners of large-picture archives. Previously Bridge was part of Creative Cloud and was distributed on a subscription basis, but recently it became completely free.
Corel AfterShot Pro
A photo editing and sorting package from rival Adobe. The application will help you form a neat folder structure that is easy to understand. Files here are easily filtered by metadata-supported ratings, keywords, dates, and tags.
You can also use it to retouch your pictures to optimize lighting, contrast, color, and other settings. The application interface is somewhat overloaded with elements, but you can get the hang of it quickly.
https://unsplash.com/photos/jugVmxdORSA
ACDSee Photo Studio
An extremely popular and time-tested photo organizer. There are a lot of possibilities for organizing the collection of pictures:
categories (both preset and manually created);
ratings;
labels;
keywords;
geotags.
At first sight, you can get lost in all the features.
Batch processing, sorting, and renaming files in a few minutes allow you to restore order in even the most huge picture archive. There are also advanced tools for editing: cropping, retouching, removing imperfections and noise, and filters.
The app makes it easy to organize your photos and then find them without delay. There is a simple search window, but beyond that, there is a “Photos” mode, which provides an overview of your entire collection. You can scroll through thumbnails and date-stamped collections and then zoom in and out for more details. Essentially, ACDSee shows your entire collection as if it were laid out on one giant workbench, and then makes it very easy to go through the entire archive.
Another great feature is Mobile Sync, which provides an efficient synchronization process for multiple devices. The free app allows users to select and wirelessly transfer their photos to the photo studio. The app has several choices and customizable file and subfolder names. The ease with which they can access and display their work is unparalleled in similar programs.
Darktable
The Lightroom of the Linux world is free and open source. The program is focused on automation and will come in handy for photographers who process a large number of images. It supports imports from most modern digital cameras, sorts photos by reading geotags and metadata, and allows you to assign labels and ratings to files. Each image has metadata such as camera model, focus distance, date, manufacturer, lens, and shooting location. This feature makes Darktable one of the best photo catalog apps on the web.
In addition, it has support for graphics tablets, and the application’s functionality can be extended with third-party modules if desired. It provides non-destructive photo editing, which means preserving the original file when needed. With many useful free features, this software is more impressive to photography novices who may not have the money to subscribe to paid picture editing software.
Darktable provides a handy catalog that allows you to sort images by different parameters, add them to your collection and rate them. It supports more than 15 formats and works impressively well with CR2, HDR, PFM, and NEF files. In addition, Darktable offers support for almost all known formats, including PNG, and RAW. TIFF and JPEG.
Improve user retention, boost app engagement metrics, and improve your bottom line.
Simply put – mobile app engagement is providing your users with a reason to keep coming back to your mobile app or open your mobile app and perform the desired action.
You must create an engagement strategy that boasts high-quality communication.
As well as this, you must use the data, analytics, and insights from your users in a business dashboard to help you to learn which part of your app engagement strategy is working the best.
App engagement is all about putting the user needs first. There’s no quick fix. It involves defining your essential app metrics and KPIs. Then creating an app communication strategy that is relevant to your mobile audience.
What are the most common mobile app engagement metrics and KPIs?
If you’re looking at how to improve your mobile app engagement, then you’ll be looking at developing these specific mobile application metrics.
Active users
This is a crucial metric for app developers, and it’s kind of the going currency in the world of apps.
This metric will help you to understand how useful and important your app is by identifying how many users come back to your app.
This can be done on a daily basis or a monthly basis. Both are, but daily active users is a sign of a genuinely engaging app.
DAU = the number of users who opened your app in a single day
MAU = the number of users who opened your app in a month-long period
Retention rate
This metric tells you, as an app developer, what percentage of customers are coming back to your app. On the flipside, you’ll be able to see how many users you are letting go.
The periods that you are comparing will be dependant on the insights that you want. Should you compare MAUs to last month’s active users, or should you compare to the previous year?
With retention rate calculations, it’s essential to look at the metric you are measuring. For some apps, it will make more sense to measure logins rather than only app usage.
Retention rate = the number of users that use your app within a set time/ the number of users in the same group that uses your app in a previous time.
Churn rate
This is a simple one – it’s used to identify the percentage of your users that are lost.
Churn rate = 1 – your app’s retention rate
Session length
This metric is the amount of time that a user spends in your app each time they open it. This is an excellent indicator of app engagement as time spends in each app is one of the key ways to tell how useful your app is to a user.
Depending on your app, it might make sense to focus on this metric rather than DAUs.
Session length = time opened the app – time closed the app
In general, the more time your active users spend in your app and the more screens that they interact with, the more engaged your mobile users are.
That’s why focusing on experience, rather than just individual features, is critical. Let’s look at how you can increase these key app metrics.
Push notifications
Push notifications are one of the most effective ways to engage your app users. But, if misused, they are one of the quickest methods to app deletion. The truth is that many mobile apps seeking to engage their users fall into the second category.
So how often should you send push notifications to your users?
With push notifications, it’s about providing the most value to your app audience. If your mobile users are getting value from your app, then they are going to be more engaged.
That sounds obvious, yet so many app engagement strategies fail to consider it. There are so many push notification services that claim that quantity is key to boosting engagement. But, this will very quickly have a negative effect if you don’t consider personalization and relevancy in your push notification strategy.
It’s also vital to understand push notification statistics when trying to engage your audience.
So, let’s look at how you can engage your mobile app users by building a push notification strategy.
Only send push notifications when it’s relevant to do so
If you look at your phone right now, you’ll probably see an extensive list of notifications sitting there, unanswered. Never swiped and hardly even read. If you want to engage your mobile app users, you need to create a positive impression of your app in the minds of your users.
Spamming your users with push notifications isn’t the way to engage your users. You need your users to enjoy reading that notification when it comes. You need to provide them with value.
Content is key
The first step is thinking about the content. Just because it’s the latest app feature your dedicated development team created, doesn’t mean that your app users will engage with countless notifications about it.
You need to think like an app user. What do app users engage with? What do you, as an app user, engage with most? Which apps on your phone are doing this best? If you can think like your users, then you’ll start to get on track with your app engagement strategy.
This involves clearly defining the instance in which your mobile audience wants you to speak to them. This may require in-app analytics and feedback tools, but we’ll get onto that in good time, don’t worry.
If you have a mobile restaurant application, for example, why would you send them notifications when they are in the bank. Why would you remind them to make dinner at 11 pm? Why would you ask them to choose their perfect recipes when they are on holiday? If you have an instant messaging app you don’t want to set any limitations.
Highly targeted push notifications can increase response rates by up to 7x and will dramatically increase your app engagement rates.
But how do you control how, when why and what push notifications your mobile app users receive?
Location-based push notifications
That’s right; get yourself a platform or a service that lets you control when your users receive push notifications.
It’s simple – if your users are in highly essential moments, then send them highly relevant communication. That’s it.
Let’s look at the example from above. What a difference it would make to have a recipe app that suggested you make a saved recipe when you were in the store, and lacking recipe inspiration.
That’s what your app was supposed to do, yet you aren’t giving it the change to help users in the right moment.
This is where location comes in. By predefining several supermarkets using a simple online platform, you can ensure that push notifications are only delivered at relevant times.
The application applies to all apps looking to implement a successful mobile app engagement strategy. Define the optimal moment for your mobile users to use your app. Send them optimal notifications ONLY in these moments. Improve engagement. Get insights and use this to inform your engagement strategy and fine-tune.
What makes an excellent push notification?
Let’s look at some examples of good push notifications that will keep your app users engaged.
For this, I’ve imagined some generic apps rather than real ones. Although we’d be happy to give you a specific demo for your mobile app.
App with a physical location or venue
If your app has a real-world counterpart that was supposed to benefit from your app. Then location-based push is perfect. You probably have a good idea of how your audience uses your products or services.
A good engagement boosting example for this kind of app would be:
Of course, in this example, the user receives the notification just as they enter the restaurant.
Stand-alone discovery apps
Okay, so you don’t have a retail store, just an app. That’s fine. You might need to spend some time learning how your users get the most value from your app. But that’s fine, that’s one of the most critical aspects of this kind of engagement strategy (again more on that in a short while)
In this example, you’ll need to understand what engages your users best, look at the data, and then rinse and repeat. An example:
In this case, the micro-moment could be as they are leaving another nightlife venue. Thus avoiding spamming all the users that have decided to spend a Friday night in.
Apps with a specific function
What if your app provides a vital service? Location-based notifications can help to engage users by bringing this function to them at the best possible moment.
Here the user would be notified when they land at an airport. Those eagle-eyed amongst you might ask – how would you ensure that the user doesn’t get the notification on the outbound part of the trip? Well, triggers can be based on complex location signals; in this case, the second time they are seen inside the airport within a certain period.
Some homework (spoiler – it’s much easier with insights)
What micro-moment should trigger notification delivery?
What is the best way that you can personalize the notification based on this micro-moment?
What is the desired goal of the push notification?
What are the critical engagement KPIs that this campaign should improve?
Re-engaging your mobile app users
One of the most effective ways that apps can improve their user retention rate is to re-engage and retain their mobile app users.
Often many apps neglect the customers that they have spent countless mobile app marketing dollars on acquiring.
After 24 hours, an apps retention rate falls to 21%. By day ten, this figure drops to 7.5%. After 90 days, it’s a measly 1.89%.
Therefore a significant increase in retention rate can be the most important strategy for app owners. Rather than placing your entire budget into acquiring new users, you should be focusing on re-engaging your users. Just a small rise in app retention rates can have a huge effect on your bottom line.
Fixing your app on-boarding process
You need to ensure that the basics are in place for you to keep engaging your app audience. This means that your onboarding process should be seamless, provide value, and explain exactly what it is that your app does.
Think of these as the perfect blocks to build your app user experience. The engagement strategy is the cement that fine-tunes it and links it all together.
For a more detailed list of app onboarding best practices check out this.
Deep linking from push to relevant in-app location
So you crafted the perfect notification. Congratulations. Your users clicked it. And it directed them to…
The app home screen.
Again it seems obvious, but many apps get this completely wrong. Choose a push notification service that lets you link to highly relevant app experiences.
They probably exist in your app. So make sure you are improving the mobile app experience by allowing your users to get to it quickly.
If you want to improve app re-engagement then getting your users to notice your app is just the beginning. You’ll want to ensure that your personalized notification takes the user to the right place.
With many location-based push notification services, it’s possible to deep link to the right content based on the user’s current location.
That could be the most recent content to keep delivering your users a fresh experience and keep them engaged.
Think about your app experience
A note on personalization – ultimately, your app engagement metrics will improve if you place personalization at the heart of your app engagement strategy.
This means that you need to think of the user at every point in the user journey. If you want to take your app engagement to new heights, then you’ll have to personalize the user experience, clearly define your app’s KPIs and learn how your users want to engage with your app.
But that’s only the first part. How do you keep learning what your app users are engaging with and what elements of your strategy in performing best? Well, that leads me nicely onto…
In-app analytics and insights
None of the above will matter if you don’t commit to learning what works best with your users. Every app is different with different app engagement KPIs.
Analyzing your engagement data is key to building an effective app engagement strategy.
Push notifications give you valuable insights around your users. If you want to know how to improve your app user engagement, then you need to understand mobile app analytics.
The feedback from your push campaigns helps you to understand what engages your mobile users.
I’m not just talking about the age, time, gender, and device type of your users although those can sometimes be helpful.
I’m talking about understanding in which micro-moment your users are most likely to engage with your app.
Understand your app’s micro-moments
This is such valuable information. Many apps have an idea of what this moment might be. But often, their idea of what this is is quite different from what the insights say. Data should be everything for your mobile engagement strategy. And it’s time to take this data to the next level.
When you send a push notification to users, and you know that your users are opening them in a particular context, this is valuable information.
These insights even go beyond your app engagement. They can help fundamentally to inform everything to do with your app growth strategy. From most crucial new app features to UX and monetization.
If you know that more of your users are engaging with your notifications in a certain location, then you get a better idea of your app audience. You can understand them better and hypothesize the specifics that will help to improve app engagement.
Location-based insights
In a world with over a million apps, it’s important that you leverage every piece of data that you can around app engagement. You need to make data, your best friend if you want to keep developing your app engagement strategy.
If you can get data around your app users that the majority of apps can’t get access to then your onto a winner.
The truth is that many app engagement strategies fail to understand where their users go and how they behave.
Beyond basic engagement insights
For example, you might get feedback around how your users are opening your push notification, using specific in-app features, or even just opening the app.
These insights might be based on time of day, or maybe you can even get a breakdown of this data based on audience type (depending on which service you use).
But what if you could get a better insight into the mind of your user at that time? Basic insights are great, but it doesn’t always paint the perfect picture. You need to get as much data as possible if you are going to keep engaging your app users.
Location insights around app users can help drive mobile app engagement KPIs. If you can understand exactly where your users go and how they behave, then you can create a better idea of how to engage them.
Engagement data that retains users
For example, let’s say you have a sports app and you might send a re-engagement notification that performs reasonably well. You look at the data available to you, and you see that a sizeable chunk of these notifications was opened between 12-3pm. Now that is a great insight, but what if you could learn more?
If you layer location insights around that data, you might see a more useful pattern emerge. You could see that the majority of these notifications are opened in bars, and even more, specifically sports bars.
Now you can begin to hypothesize and fine tune your value proposition. You can see that the majority of your users are using your scores app while they are watching a game in a bar or sports venue.
This all links back to your app engagement strategy. You have a better idea of how and where your users get the most value from your mobile app, and this helps you to develop your app engagement strategy.
By understanding your user’s behavior, you are much better placed to say which factors are most likely to boosts your app engagement KPIs.
Make sure you choose the right app engagement platform
Choose mobile app analytics and communication platform that works for your app. You need a mobile engagement platform that allows you to reach your app users in the best possible moment and understand how your users respond and behave.
Conclusion
Think about which app engagement metric is most important to you.
Clearly define which aspects of your app engage your users.
Place the user first. Think about providing value to your users rather than communicating with them for the sake of it.
Use highly personalized notification to engage your users in the best in-app micro-moment.
Re-engagement can be the most effective way to improve your app revenue or bottom line.
Take a data centric approach to engagement.
Always be ready to hypothesize and learn from your engagement data.
Follow these rules and you’ll be well on your way to creating a mobile app engagement strategy that works for your app.
Faq’s
What is app engagement?
App engagement is used to refer to a number of metrics that measure how users are engaged with your app. These can give developers better insights into how their apps are being used.
What is app retention?
App retention is a metric which is esentially the percentage of people who continue to use your app over a given period of time
How do I boost app engagement?
A combination of good onboarding, active engagement such as push notifications and delivering personlised app experiences.
This guide is everything you need to know about app monetization. We’ll breakdown different strategies and look at the pros and cons of each. You’ll learn how to optimize and generate impressive revenue from your app with various app monetization models.
We’ll also look at app revenue trends as well as hybrid monetization. So strap in and get ready to monetize your mobile app audience.
This is a full-length guide and therefore, will take a while to get through. Luckily we’ve added some useful links throughout to help you navigate to the relevant sections.
This guide is relevant to all app owners and developers. Whether you have a free app or a paid app, some of you will be in the early stages of app monetization journey. Some will be experienced hybrid app monetization experts. This guide is for anyone who wants to generate revenue from their mobile app.
It will help custom software development services define how to monetize their product properly. Choosing the right pricing model means finding the balance between value and revenue, which is an essential task for establishing a successful and profitable business
Either way, we hope this guide leaves no stone unturned in your quest to understand what is app monetization. You’ll learn how it works and how to make sure that you get the best revenue from your mobile app.
In one sentence – app monetization is the process of converting your app users into revenue.
This process involves multiple strategies. Some categories of apps are more suited to specific app monetization models than others. Some apps focus on one particular area of app monetization, and others incorporate multiple aspects.
As a developer, you’ll need to generate revenue from your app. In the app economy, it can be challenging to stay afloat. Unless you have secured a nice amount of funding, it’s essential to read the advice in this post.
Follow our implementing guide and make sure that you ask any comments at the very bottom.
Why is app monetization important?
App monetization is crucial because it has become more common to find that apps are free at the point of install. The app business model, therefore, needs to be adjusted to account for this.
Developers must shift their revenue model to generate cash after download. This is where your strategy comes in. It’s crucial to take the time to make one that ensures these two things happen:
Your app generates growing revenue.
You keep your users and the user experience relatively intact.
A lot of people forget about the second point. It’s just as important to look at how mobile monetization affects the app experience as it is to maximize revenue.
Why is user experience important?
Experience is crucial to a successful app monetization strategy because revenue requires happy users.
Monetization mostly harms the app user experience. This can be mitigated and reduced, but it is still there. Lowering the user experience causes some users to be turned off.
Monetization revenue is generally calculated based on the number of active users. As this figure is directly affected by user experience, it’s crucial for developers to consider this when deciding an app monetization strategy.
Stats and figures around app monetization
There’s one stat that shows the importance of app monetization in today’s mobile world.
In 2015 global app revenues reached $70 billion. By the end of 2016, this had risen to $88 billion.
That’s a significant rise in a single year. But if we look at predictions, by 2020, the global revenue from mobile apps is set to hit $190 billion.
Now that’s a significant market for developers to tap into. But let’s dig deeper into app monetization.
App monetization strategies are still dominated by in-app advertising. Ad formats are indeed getting better – incentivized advertising is driving app monetization, and app revenue models are increasingly packed with advertising. Native ads are popular as well – something that the app ad space loves to point to as progressive in-app advertising.
Paid apps are still prevalent in both app stores, with 20% of apps adopting these app revenue models. As an app revenue model, this is remaining steady – but the growth of subscription models are becoming more popular as the idea of recurring income seems attractive to developers.
But what can you learn about your app revenue model by looking at these statistics around mobile app monetization?
App ads are on the rise. But will developers see the bubble burst? There could be a reward on offer for apps that steer away from the advertising app revenue strategy in the future. And this is entirely possible with the growth of alternative app monetization methods.
What can we learn from this?
Advertising is still the most popular app monetization strategy. But it’s interesting to see that it is decreasing per user. The main reasons for this could be the fact that revenue per user is declining as more apps look to get into advertising. This causes a race to the bottom in terms of revenue per user. But more on that later.
Another point to make is that pay per download is on the decrease. As more and more apps look to monetize after the point of purchase.
Finally, subscription models are becoming more popular. Pay monthly models are working in so many other industries. Look at Netflix, Spotify, etc. App developers are catching on and realizing that a subscribing, engaged user is worth more than a single paid user.
We’ll discuss all of these points in more detail as we look at the different app monetization strategies. We’ll also talk about the issues and patterns that occur in the app monetization world in the later ‘trends section.
The app monetization strategies – a complete overview – how will your app make money?
Now for the part where we get down to it. What app monetization strategies are there? Which ones are most effective? Which generate the most revenue for your app?
App monetization strategies can be complicated, and it can be very different from monetizing templates or courses. There are many different ways that you can generate revenue from your app. Some developers focus on one, and others take a hybrid approach. Or you can even make a best Notion templates guide, for example.
Take the time to familiarise yourself with all of these methods. We’ve tried to include which app categories work best for each monetization method.
In-app advertising
As we previously noted, this is still the most popular amongst app owners. It generally generates a lot of discussions. There is no simple one size fits all approach to in-app adverts. Each app implements advertising differently. But there are some general tips for advertising in apps.
Benefits – quick to implement, simple app monetization process.
Concerns – can affect the app experience, only generates significant figures if you have a broad app audience.
The short truth is this – without in-app advertising and mobile ad networks, a lot of apps wouldn’t exist.
So let’s look at the different types of in-app adverts that are common.
Banner Ads
These are the original app advert. These were more common when apps had a free and paid version. A quick way to generate revenue was to have an ad-free version. But, the fact that people were happy to pay not to see any banner ads illustrates the problems.
What’s so bad about app banner ads?
Let’s focus on the UX. They are ugly and intrusive. They divert the user’s attention from the app experience.
I could go on about how damaging the look of banner ads are for your app. But there are more negatives I’m afraid.
The ads are generally so small on a mobile screen that the advertiser doesn’t get much value from using the space. This means that they are usually not willing to pay much for the privilege. They have low engagement rates. For these reasons, the CPM is pretty bad.
The short of in-app banner ads – people don’t interact with them. They annoy the user, and you won’t even get paid much for using them.
Well, perhaps that’s why they are dying out then.
Interstitial Ads
Developers are looking at alternatives to bad in-app advertising, such as banner ads.
The main problems with banner ads are the size and the fact that they are intrusive. One potential solution to this problem is to take the same advertisements and show them as a full-screen ad to the user. This occurs between separate user flows. Hence the name interstitial.
To get the most out of this strategy requires you to fully understand your app users and how they use your app. Make sure that you don’t inadvertently ruin the user experience.
The best time to deliver an interstitial ad is at the end of a flow. For example, when a level is complete in a game app. It’s also a good idea to utilize interstitial ads when the app is loading. This gives the user time to understand the ad and think about its content.
Native Ads
Native ads are mostly ads that have been adapted to the feel of an app. The ads integrate seamlessly into the app. This usually involves a feed of some sort, where the ad looks like another post in the timeline.
More common amongst publishers as well, native ads are a step in the right direction. They do little to affect the user experience when applied correctly.
Native ads have a higher engagement rate. This is probably since they ‘blend in’ with the app features. This does raise some questions about the effectiveness of the ads. If the ad is essentially tricking the user into clicking as they think it is an organic part of the app, this will harm the user experience.
The key is to make the native ad look and feel ‘native’ while also providing a clear indication to the user that the content they will land on is an advert. Twitter does this well on mobile.
Affiliate Ads
Affiliate ads are a method of app monetization that allows apps to generate commission from other apps, products, and services by advertising them through your app and implementing affiliate tracking.
Again the key thing to remember is the experience. Try and link the advert to appear at relevant points in the user journey. Perhaps when the user is in between levels, the ad could suggest an app that is similar to the situation the user finds themselves in.
Reward ads
App reward ads are popular, where users spend a lot of time in the app, such as games. In this scenario, users are offered a reward to engage with content.
So for example, in a game, you may be offered an extra life if you watch a 30-second advert.
For this to work, you have to get the ad and the reward right. Try and keep the content relevant to your user base. Make sure the reward is delivered at the right moment and is valuable for the user.
Summary of ads
Generally, more developers are becoming concerned about how advertising affects the app experience. A broader conversation is emerging. Developers are asking – which is the best ad format to protect the UX?
We’ve come a long way since the early days of mobile banner ads. Mobile app advertisers have realized that protecting the user experience is vital to ensure the survival of apps.
Subscription and the freemium model
Many apps are now looking at subscription models as a way to generate app revenue. It’s becoming more popular amongst developers for a variety of reasons. Again, we have the fact that users are more used to not paying to download apps as the reason for this.
A subscription model means that the user can download the app for free. They then get access to all or some features of the app for a specific time. Once this period is over, they will need to pay a recurring fee to keep using the app.
It’s easy to see why this app monetization model is becoming so popular. The developer gets a constant stream of revenue. It’s easy to predict. In some cases, it can bring in much more significant revenues than other strategies.
This is because once a user pays to use your app service, they will invest time in the app. If this requires input, they are unlikely to want to stop paying for access.
The app subscription model works best alongside a compelling app with a clear function and user experience.
Benefits – steady, reliable income. Little effect on the user experience. Can significantly drive engagement.
Concerns – requires a lot of investment to create a great product and a seamless experience to get users to part with cash.
Apple loves subscriptions
Apple realized the benefits of apps that keep the customer for more extended periods. They have offered developers on the app store a better revenue share on the income from the subscription apps.
The standard split is 70/30 (Apple takes 30% of app earnings, the developer takes 70%). But Apple now offered an 85/15 split for subscriptions that last over a year.
This is now common in both app stores. It is fuelling the drive toward subscription models for app developers.
Data monetization
We talk about user experience a lot when talking about app monetization. That’s because it’s crucial to keeping your app audience engaged with your app. Without an engaged audience, it’s impossible to sustain effective app monetization.
That’s why data monetization can be one of the most effective methods of app monetization.
Large app audiences can be valuable for many different reasons. One of these is that whenever a user interacts with your app, they generate a form of data.
This information can be anonymized and then quantified. It can then provides valuable insights into customer behavior. This is known as big data. It is used for many things – from how to build smart cities to deliver better and more personalized advertising to users.
Why data monetization?
The app experience is becoming less important for developers as they look to implement as many app monetization strategies as possible. Have we forgotten about user experience?
Many mobile app monetization strategies are based on delivering an advert to the end user. While these can generate app revenue, little attention is given to the effect that this will have on the user experience.
Many mobile ad networks are making a lot of noise about native ads as a method of app monetization, but is this the experience that users want from mobile. App revenue is growing, but surely the messy in-app ad bubble will burst when developers realize there are alternative app monetization options that are big app revenue generators, without negatively affecting the user experience.
These strategies exist, and more developers are adopting these app monetization strategies.
Data as a useful app monetization strategy
Revenue from customer data has been commonplace in other industries for a while now. This can and should be extended to mobile app monetization. With CPMs that are much higher than advertising app monetization models, it makes more sense for developers to try generating app revenue from user data. Along with the bonus that apps can hold on to their beautiful user experience as this app monetization model operated in the background.
Of course, many are quick to criticize this method of app monetization. But the issue demonstrates a broader problem that is prevailing around app monetization in general. Users are so used to apps operating on some free app monetization model that they generally forget that are paying with something other than money.
It can be flashing adverts, or it can be data app monetization. Either way, the conversation around app monetization needs to be more explicit. Users need to understand precisely why apps are free. Data collection process need to happen securely, and they need to have a transparent opt-in process, but that doesn’t mean that it’s not a viable app business model.
Powerful, first-party data
Data that you collect directly from your app is called first-party data. Many apps are not doing this, and they are sitting on a pretty large, untapped pile of app revenue. And that’s fine – but in this competitive arena of app monetization, and along with the development of secure, non-identifiable data collection methods – apps should no longer be afraid of leveraging this data.
The data can be used for a developer’s own needs – understanding user behavior and interactions with app/features is one. By leveraging robust and accurate user data, developers can understand how their app is used, where users get the most from their app and where to improve.
The data can also be used in tandem with an apps current advertising inventory to boost ad price. If you use data to trigger in-app advertising, then you create more relevant adverts. This means higher inventory price.
Data should underpin everything that you do in your app, from app engagement to app monetization. With the development of advanced audience SDKs, developers should no longer be afraid of leveraging data from their app audience.
A clearer conversation needs to be had around why apps are free at the point of use – a data monetization model is no different from a subscription, freemium, or ad monetization method. Stress needs to be applied around clearly communicating what it is that the user gets in return and providing clear opt-out channels for those who don’t wish to share their data.
Aside from these main two benefits, it also means that you are not held to account financially by the platform that your app exists on. The revenue is generated externally. That means that there’s no commission with the app stores. There’s no worrying about which platform your app is most prominent on.
How to get started – make sure you find yourself a valuable monetization partner. Ensure that they can abide by the relevant opt-in processes. Privacy and security are essential without a data monetization strategy.
In-app purchases, virtual goods and currency
This is a method that has become more popular with games apps in recent times. Apps generate money by selling virtual or physical goods from within the app.
Virtual currency
One way in which app developers have cleverly tapped into new revenue streams is to allow the user access to virtual currency. Users purchase this currency with real cash, and it used for various means within the app.
Usually, this currency is used to get ahead in the game or redeem certain features and services that would usually take a long period of time to unlock.
There’s a balance to strike here. The user must feel that they are getting value for their hard-earned cash. But they must also keep playing the game to pay more money. That’s why it’s essential to keep the game or app interesting for non-paying users as well. If other users that aren’t willing to get their wallet out stop playing, then paying users will also decrease if there’s no one to play with.
Physical product or service
There’s a lot of variety in-app monetization. If your app us a subset of your business then in-app purchases are going to be a large part of your app income. In exchange for your physical product or service, users can pay quickly and using the build in payment structure.
There’s not much to say about this strategy apart from that your physical good or service must be top quality if you want to increase your revenue.
The commission
Apple and Google both take 30% of every in-app purchase through your app.
That must make you wonder how the large service apps like Uber and Airbnb manage to make a profit on the back of that 30%. Well, they don’t pay 30%. If you’re big enough, you have the power to negotiate individual commission rates with the app stores. Unfortunately, for most apps, this isn’t possible, and you’ll have to abide by the rules.
Transaction fees
This method is kind of a pivot of existing marketplace methods. For apps that have a marketplace or if they include audience transactions of a significant kind, this is an excellent way to monetize app users.
The main benefits of this method are scale. If you can keep growing your audience and the audience activity within your app, then this app monetization method will scale alongside this growth.
User marketplace
The idea is that you take a percentage of a transaction between two users on your app. For example, when someone sells an item, you take a percentage of the amount. This is communicated upfront, but the difference to traditional marketplaces is that the seller doesn’t pay a listing fee. This encourages users to use your service.
Transactional apps
An emerging breed of mobile apps that use transaction fees to monetize is financial apps, or invoicing apps. These often offer the conversion of currency (think buying Bitcoins) or the option to trade in shares or other markets.. Every time the user makes a transaction, the app makes revenue. An excellent example of this is the Bux app, where they take a percentage of each sale that occurs in the app.
This app monetization strategy provides scalability. It also gives developers the ability to accurately predict revenues based on users and numbers of active users. You can also increase revenue directly by investing in engagement and new users. This gives you better and more stable metrics to manage your app business.
Best practices for app monetization – how to improve the bank balance
It’s all about the experience
Protect the user experience at all costs. You’ll do more damage to your monetization by damaging the user experience. There’s a two-pronged approach to this. Keep your experience clean and ensure that app monetization does not harm your app experience. If you have to alter the experience in some way (ads etc.), then manage this so that the impact is minimal.
The other side of this involves actively increasing engagement. Improving app engagement ensures more time spent on your mobile app. This leads to greater monetization.
Keep bringing in new users
To scale monetization, you’ll need to keep investing in user acquisition. Don’t take your foot off the pedal here. You’ll always have user churn. This requires you to seek new users to grow monetization actively. You could also try something such as a pre recorded live stream to do this.
Hybrid app monetization
It’s perfectly fine to adopt multiple app monetization methods. It’s recommended. App monetization methods can be implemented alongside each other. Just b sure that doing too much won’t negatively affect the user experience.
Measurement and analytics
Measure your monetization, optimize and adapt – an important part of any app monetization strategy. Ensure that your monetization partner can provide in-depth insights on revenue, users, and geography. Always be on the alert to fine-tune your strategy using data.
Keep up to date
Keep on the lookout for changes in policy from the major app platforms. This is important as it could change your strategy overnight.
For example, the decision to reduce the commission on app subscriptions changed many app’s approaches to monetization. Keep up to date with the latest blogs and resources.
Your app is unique
Don’t take other developers use cases as proof that it will work for your app. Every app is unique. Just because something works for another app, doesn’t necessarily mean that it will work in the same way for your app.
Test methods before fully implementing them and always focus on the differences between apps when looking at other use cases and statistics.
If you do go down the ad route consider placement and timing
The ad route is entirely viable for many apps. In-app adverts can be successful, but make sure that you invest the time to consider the placement and timing of these ads. One wrong decision can cause you to lose a lot of users, so be completely sure that you get it right.
Are you missing out on data monetization
We’re always amazed at how many app developers are unaware of some of the different monetization strategies out there. There’s a massive drive towards in-app ads, and little alternative is presented to developers when they begin on their app journey. They are missing out on vast amounts of app revenue.
What I’m saying is – you could say goodbye to the wave of ads that you’ve been thrusting into the faces of your users.
But what if I told you there’s a better way to monetize your app. One that means that you won’t have to sacrifice your app experience. And one that can make you more money than your current monetization strategy.
Well, there is a solution, it’s called app data monetization.
How to monetize an app with revenue from data
There are a few different types of data app monetization, and it’s pretty specific to the app in question. But there’s a better way for developers to generate consistent app revenue. Better yet, you can do this while prioritizing the app user experience.
One of the most effective includes identifying precise location data from mobile apps to understand consumer habits or behavior better.
What are the benefits of app revenue data as a monetization strategy?
The potential for no in-app ads – you heard me right. This means that you can stop delivering those annoying banner ads to your users. Or don’t. DO both if you’d like. Data app monetization works in the background, so you don’t have to worry about it affecting your app experience at all.
Higher CPMs – That data is extremely valuable if it’s precise. Your partners are an essential thing to consider with this kind of monetization strategy. You must communicate with your users, and it’s essential to do this properly. Being upfront with your users on why they are receiving a free service is something that all developers can improve.
The platform becomes less relevant – tired of thinking of android app monetization strategies vs. iOS monetization? Well, data app monetization is a way to level the playing field. You’ll get a much more consistent income across your audience, regardless of platform.
–
It’s ultimately one of the best app monetization strategies out there. It’s a great way to monetize your app without passing on the cost to your audience. Keep your app engagement and monetize at the same time.
We’re not saying that you should cancel your previous app monetization strategy. There are always app monetization challenges for developers, and data monetization isn’t the solution to all of those problems. However, it can still be tested in a wider app monetization strategy. This way you’ll learn if it’s right for your app.
A note on user privacy and opt-in services
It’s important to educate your users on app monetization. All users should realize that the reason their app is free is due to the monetization of themselves.
That’s why it’s important to be up front. Have the conversation with your users as a part of your onboarding process. The best kinds of app monetization strategy clearly explain to users why the app is free and how you ensure that it will be using monetization.
Building trust with your users is key to this kind of monetization strategy.
Trends in app monetization
App experience > app monetization
In-app ads remain a popular method of app monetization for developers. Despite them having obvious drawbacks when applied poorly.
A common trend that we see emerging is that more developers are focusing on experience rather than pure revenue.
In 2020 app advertising will be all about the user experience. Developers must strike a balance between the number of ads, where they appear and how the user interacts with them. This will be pivotal to app monetization success. App owners will also have to consider how these changes will affect their users in 2020. Too many ads will negatively impact the user experience. But that doesn’t mean that it’s impossible to provide value while delivering in-app ads.
Don’t expect revenue from app ads to jump to new heights anytime soon if anything expects app ad revenue to decrease as more apps adopt in-app advertising. Perhaps 2019 could be the year to supplement your app revenue with another method.
Mobile app advertising is maturing quickly. Make sure you look for a network that uses safe brands, smart ad targeting, and provides support for interactive ads.
When integrating an app advertising strategy, you may find a trade-off between ease of integration and spamminess of ads. In 2019 it might be worth taking the time to focus on putting user experience first.
It’s clear that keeping people engaged with your app will have a better effect on monetization. App owners will need to get balance right. More importance is being placed on experience with revenue from ads not going up anytime soon.
We see this in our research. Our survey of app developers showed that two-thirds of developers now think that focusing on the app experience or improving the app experience is more important than monetization. Apart from focusing on the app experience, the focus should also be placed on providing application support. This would help in ensuring that there is complete and uninterrupted functioning which will in turn help in improving feedback and retaining the consumer.
Say goodbye to paid apps
Freemium and subscription-based apps are here to stay. Offering apps free at the point of purchase allows developers to get downloads easier. They can then educate the user on the benefits of upgrading or paying for premium features.
Freemium is allowing app owners to increase session length and generate engaged users. This is a great place from which to convert users into healthy revenue. After a positive app experience app users are more likely to opt-in for premium features. Having the chance to nurture and educate your users before this has a positive effect on your app monetization strategy.
Try not to appear like you are cheating your users. Make it clear that your app is a freemium app from the very beginning. They won’t want to invest a lot of time in a game or app to realize that they have to pay to use some features.
It seems that freemium is here to stay. With users finding it standard practice to not pay for an app at the point of purchase. Because of this, developers are finding it harder to justify an upfront fee. The freemium app monetization model is an excellent opportunity to engage and nurture audiences for app monetization.
Users will become dissatisfied if they have to spend a lot of money to get features
In-app purchases as a method of app monetization are still experiencing healthy growth. This may be slightly overstated due to the inclusion of ‘services’ as purchases (think Uber, etc.).
One of the main trends well see in 2019 is that app developers will need to focus more on engagement rather than only increasing app monetization.
Once a user has purchased in-app content, then they are more likely to come back and spend more time in the app. This translates to better engagement and retention and in turn, better monetization.
No category has benefited from in-app purchases more than the gaming category. Here, developers are helping by placing engagement first. The user now has the option to pay to advance through the game quicker or access powerups and features.
Developers need to make sure they are getting this balance right. In-app purchases are useful because a few users spend a lot. There will always be users who only want to play your game for free. True these users don’t generate revenue, but they are still important for your app to exist.
While not being a mobile app, developers can still learn a lot from the EA debacle in the new Battlefront game. Users quickly noticed that to unlock some of the features they would have to play the game for 1000 hours. Alternatively, they could pay to unlock them. This seemed somewhat unfair, especially when they had purchased the game upfront.
To keep users happy, developers will need to strike the right balance between monetization and experience.
In 2019 more and more users will become aware of how apps monetize their users. That’s why app monetization methods must be transparent and fair; in the long term, it will benefit you.
App subscriptions will look more like SaaS products
The subscription model is one that looks to remain popular in 2018. Again, users are used to trialing an app and its features before parting with any cash
Subscription models are becoming more complicated than a simple buy or don’t buy. Many pricing structures now more closely resemble a SAAS model. It’s common to see several pricing tiers with many different features.
This allows app developers to persuade users who would previously not part with any cash to subscribe to a lower tier of membership. This method of app monetization is still the best fit for service apps.
A side effect of this is that developers will need to help users understand the benefits of upgrading. More tiers and features mean a better explanation is required.
A conversation will need to be had with users about monetization of data and opt-out methods.
Users are more aware than ever of the need for developers to monetize their app audience. The conversation around app monetization is shifting to help users understand why apps are free.
In 2018 consumer personalization will be a high priority for brands. They will achieve this by using consumer first-party data to help provide an improved user experience.
Mobile app owners are sitting on a lot of behavioral data around their users. This is of value to those who wish to improve personalization for their customers.
Data monetization is secure, private, and becoming more popular amongst developers. Users are more likely to understand that this data will help to generate improved personalization. By communicating the benefits and education users about opt-in developers can monetize their app in this way.
A benefit of app data monetization is that the user experience remains intact. There are no intrusive adverts or the need for the user to pay anything upfront. This means that the user will spend more time in the app and engage with the app’s features. The app monetization strategy can be adopted alongside other methods of monetization.
Data monetization allows developers to monetize a much higher percentage of users. The users don’t need to be engaged for it to work. The revenue that you generate from each user will also be higher. This means you don’t have to worry about monetization in relation to the platform. It’s the same regardless of the device.
Expect revenue from data monetization to increase from a high starting point with better technology. 2018 will see the consumer become more aware of the power of big data and better educated on how it affects them.
Thoughts on these trends
Developers will continue to benefit from the app economy with revenue from app monetization set to grow throughout 2018. Free apps will become the new normal, compared to previously where single pay purchases were the most popular. This will allow developers to generate more revenue over a more extended period of time.
Developers will need to place more emphasis on the monetization experience. This means that the developers are more likely to miss out on revenue from app monetization if the app experience is not up to scratch. Due to the free to download culture, more emphasis on experience and education is needed. This will help to persuade users to enter into premium models and subscriptions or to engage with in-app purchases.
More and more developers will need to adopt hybrid monetization strategies. Developers should not rely on a single method of app monetization. Instead, spreading monetization across multiple strategies will provide stability, especially in a market that can change quickly. The preference of app users is volatile. The changing platform rules around app monetization may also affect developers in 2018. It’s crucial to stay one step ahead!
Useful app monetization links and resources
Mobile development digest – provides a great roundup of the latest information for developers, especially around monetization.
Developers alliance blog – some interesting information for developers, and they regularly post around app monetization.
Developer slack communities – there’s a variety of slack groups that are incredibly useful to developers. Some have dedicated channels for app monetization.
Check out this course that helps developers to create viable app businesses. With tips on monetization and more, it’s quite useful.
Of course, always keep an eye on our blog for everything mobile apps.
Mobile app monetization summary
In-app ads are still a viable method of app monetization. However, more focus needs to be placed on the user experience.
Users expect to get an app for free at the point of download.
Subscription models are becoming more popular as the big app stores offer reduced commission rates
Data monetization is a powerful way to generate revenue without affecting the user experience.
Always plan – it’s never too early to think up your mobile app monetization strategy.
Hybrid app monetization strategies are effective – understand your audience and strike the right balance.
Use data to inform your monetization. Keep learning, keep tweaking, and generate money from your app audience effectively.
In-app purchases as a method of app monetization are still experiencing healthy growth. This may be slightly overstated due to the inclusion of ‘services’ as purchases (think Uber, etc.).
One of the main trends well see in 2018 is that app developers will need to focus more on engagement rather than only increasing app monetization.
Once a user has purchased in-app content, then they are more likely to come back and spend more time in the app. This translates to better engagement and retention and in turn, better monetization.
No category has benefited from in-app purchases more than the gaming category. Here, developers are helping by placing engagement first. The user now has the option to pay to advance through the game quicker or access powerups and features.
Developers need to make sure they are getting this balance right. In-app purchases are effective because a few users spend a lot. There will always be users who only want to play your game for free. True these users don’t generate revenue, but they are still important for your app to exist.
While not being a mobile app, developers can still learn a lot from the EA debacle in the new Battlefront game. Users quickly noticed that to unlock some of the features they would have to play the game for 1000 hours. Alternatively, they could pay to unlock them. This seemed somewhat unfair, especially when they had purchased the game upfront.
To keep users happy, developers will need to strike the right balance between monetization and experience.
In 2018 more and more users will become aware of how apps monetize their users. That’s why app monetization methods must be transparent and fair. In the long term, it will benefit you.
What is app monetization?
App monetization is the process of converting your app users into revenue. Publishers need to create revenue in order to offer free apps to users.
How do I monetize my mobile app?
There are many different forms of app monetization. The main ones are through advertising, in-app purchases, and data monetization.
How much money can an app make?
The amount of money that a publisher can make from their app varies based on the number of daily active users they have. It also depends on the type of monetizaiton but publishers can earn tens of thousands of dollars a month in some cases.
Programmatic advertising spending now accounts for more than 80% of digital ad spending. This spend is increasingly being moved in-house. When surveyed, 35% of brands had, to some extent, reduced the role of agencies.
Over the last few years, marketers have developed this in-house programmatic media buying so that it makes use of first, second, and third-party data sets.
The role of data in the in-housing process shouldn’t be overlooked. It offers many benefits to brands that can successfully create a centralized data environment, such as maximizing ROI, increasing, and enabling real-time behavioral based triggers to create more personal and engaging programmatic campaigns.
Things to consider with data and programmatic in-housing
All of your data in one place
For in-housing to succeed, it’s essential to develop a data-centric environment.
This means that different data platforms, people, partners, and processes are brought together to create a single data solution.
It depends on the business as to whether the data sources are first-party only, or if the organization wants to integrate third-party data sources to improve its programmatic efforts.
Whatever the decision, the key to making a success of in-housing requires a single centralized data strategy.
Another requirement to succeed when in-housing programmatic media buying and programmatic data is to focus on the dialogue between DMP managers and media users. Developing a consistent and productive conversation between these two is one of the main benefits of moving programmatic in-house.
Making sure that you own the data you’re bringing in-house. In-housing allows you to take control of these data sets and use them across different kinds of marketing activities and touchpoints.
External partners are often unable to provide the same, and this means that you are unable to see the effect of marketing efforts on driving business growth.
Improved performance and ROI
Combining 1st, 2nd, and 3rd party data sets into a centralized in-house data solution maximize positive impact on advertising success.
The benefits of integrating 1st, 2nd, and 3rd party data into a DMP that is managed internally will provide a significant boost to marketing and advertising performance.
In-housing data allows organizations to understand customer data better and use it to implement better targeting throughout the funnel.
This drives ROI by facilitating smarter and more personalized cross-sell, up-sell, and optimization.
A combined in-house dataset allows marketers to improve further up the funnel as well. Internal datasets allow for better programmatic lookalike modeling. Anonymized IDs can be sent to DSPs to identify audiences across devices and model new audiences based on real-world behavior.
In-housing doesn’t always guarantee better programmatic marketing performance. But combining it with a data-centric approach can help to improve ROI for marketers in both in terms of short term results and longer-term programmatic performance.
Real-time capabilities
In-housing programmatic media buying allows organizations to be more adaptive and support real-time targeting capabilities. Combine this with data-centricity, and very quickly, marketers can optimize their campaigns to drive even more performance.
Data in-housing has a significant impact on effectiveness and provides a real-time boost to programmatic advertising. It reduces the time for tweaking and improves the speed in which advertisers can react to behavior signals.
Granular real-time optimization requires data in-housing. But the benefits for brands are clear as more look to align their programmatic spend and their datasets in-house.
Cost efficiency and transparency – data transparency and cost benefits
Some brands see in-housing as a potential problem in terms of data privacy. Taking control of customer data and managing it in-house alongside programmatic media buying can seem daunting, but it is instead an opportunity for brands to take control of the role that data plays in their organization development.
Robust data-centric organizations are looking at in-housing data because it puts them in control of the data and how it is used. This naturally requires an organization to look at its data sets and understand the consent and collection process. In a GDPR world, this is an essential requirement for programmatic buying companies.
Data and programmatic in-housing have also led to an increase in transparency. On the programmatic side, false impressions and the ability to understand exactly what costs are associated with each campaign have led to the rise in-housing.
For data, it is a similar story – transparency allows them to understand and perform their tests on data accuracy.
The Internet of Things technology has changed many industries, including logistics, healthcare, retail, and even communications. Nowadays, IoT enhances business processes and software solutions with sensors, devices, and platforms.
Gathering information allows companies to make smart decisions and build more efficient business processes. The Internet of Things is more than simple data collection, this powerful technology also brings Artificial Intelligence, Robotic Process Automation (RPA), and detailed analytics into business everyday life.
In this guide, you can find out how the Internet of Things affected businesses and optimized their inner processes while supporting employees. Additionally, we have covered the advantages and disadvantages of this technology for the business.
What is IoT in Business?
Let’s start with the basics — the Internet of Things was created to connect physical devices and objects through the Internet. They can exchange information and communicate with each other.
There are a bunch of IoT devices on the market:
smart home appliances (e.g., thermostats, lighting systems, security cameras);
wearables (e.g., fitness trackers, smartwatches);
industrial sensors (e.g., temperature sensors);
medical devices (e.g., pacemakers, insulin pumps).
The number of current IoT devices (7 billion) is quite impressive, but what’s more interesting — the figure is expected to grow by over 3x to 25.44 billion total IoT devices by 2030.
Undoubtedly, IoT for business is used to optimize and automate a lot of time-consuming or repetitive processes, increase efficiency, and improve customer experience.
Let’s discuss an example — an IoT-based supply chain.
IoT devices (temperature and humidity sensors, GPS trackers, etc.) collect information in real time about the goods a company stores or transports. It’s also possible to check inventory level and shipment status, environmental conditions in warehouses and vehicles, and other data.
In case of any change, the system prompts the necessary reaction. For example, if a sensor detects deviations from the picked temperature, the app sends a command to adjust the temperature and notifies the supply chain operators.
The center of any IoT-based system is a server that manages communication between devices. For example, if you use the MQTT messaging protocol, the server is referred to as an MQTT broker.
So, the question arises — what is an MQTT broker? Simply saying, it’s a central hub where all the connected devices communicate. It allows devices to send and receive messages.
There are a lot of other opportunities to use IoT for business. This technology can monitor the performance of machines in a factory, track the good’s movements, or collect information about customer behavior in a retail environment. As a result, companies can better analyze information and make data-driven decisions.
The Impact of IoT on Businesses
We’ve already mentioned the significant contribution of the IoT in various industries. Let’s move on to the impact of the Internet of Things on businesses.
Below you can find the list of changes IoT has already brought to many companies:
Cloud-based solutions
Cloud technologies ensure reliability and stability for IoT operations. Due to the popularity of IoT devices, cloud development has also increased. Companies need to create powerful cloud-based solutions to store, process, and manage information from the IoT system.
Efficiency improvements
IoT devices perform a lot of time-consuming and routine tasks. As a result, workers and employees have more time to focus on crucial or more creative tasks. Additionally, with IoT devices, companies can analyze and optimize different business parts and streamline their business processes.
Better decision-making
Based on the collected information, IoT systems can identify customers’ behavior patterns and insights. Consequently, companies make more informed and effective decisions. IoT devices can even make autonomous decisions based on predefined rules and algorithms. For example, IoT systems can autonomously adjust production parameters based on real-time data, optimizing efficiency and minimizing errors.
High customer experience
The Internet of Things for businesses can be used to collect information about customers and their behavior. Companies analyze and optimize different areas like goods demand prediction and customer recommendations. It leads to improved customer experience and increased satisfaction rates.
As you can see, the impact of IoT devices on business is quite positive and enable greater efficiency. However, it’s also important to consider the risks of implementing the Internet of Things into your business.
How to Integrate IoT for Business: Challenges and Opportunities
The Internet of Things technology has benefits and drawbacks. Each company should carefully consider each of them. To give you a hint, below is a list of the most widespread challenges and opportunities you can face integrating IoT systems.
IoT Business Challenges To Consider
Security
The primary challenge of IoT is security and data privacy. Devices tend to be vulnerable to security threats when they transmit sensitive information. Businesses have to invest in data protection mechanisms, including encryption, authentication, access control, and regular security updates.
Interoperability
There are a variety of IoT devices on the market that were created by different manufacturers and use various communication protocols. Since IoT devices need to work as one single system, it can be complicated to integrate and set up devices. Companies have to spend money on technology platforms and standards that enable seamless communication between devices.
Scalability
Businesses integrate an IoT system and need to continue scaling their systems. However, the scaling progress can be a struggle due to monolithic architecture and unsuitable platforms. It’s important to take care of the system’s scalability before implementing it. Take into consideration the future business growth and the vast amount of information generated by IoT devices.
IoT Business Opportunities to Take into Account
On the other hand, the impact of the Internet of Things on business can bring several significant benefits.
Cost reduction
IoT helps companies reduce costs and optimize their internal processes. The system monitors and analyses information on energy consumption, equipment performance, and more. So, businesses can predict usage and optimize their resources.
Data collection
IoT systems can process, store, manage, and analyze a vast amount of information. The system automatically creates reports on device conditions allowing employees to save time, streamline their work, and reduce manual intervention.
Environmental sustainability
Last but not least, IoT allows for monitoring and controlling energy consumption. It allows companies to optimize their supply chains and transportation routes. The Internet of Things technology helps organizations reduce their carbon footprint and promote sustainable practices. Resource management becomes a crucial factor these days. IoT devices can show pollution levels, water quality, and other environmental factors.
To sum up, the impact of IoT on business is significant. This technology has already brought a lot of positive changes to companies in different industries — from logistics to healthcare.
The Internet of Things technology has the potential to transform business processes by enabling automation and optimization.
Some select assets of tamoco have been acquired by pass_by, a leader in the geospatial world, in a commitment to redefining standards through AI-driven intelligence and ground truth verification.
