Categories
Data

Location Data Accuracy – What Makes Good Location Data

Location is a powerful tool to understand how audiences move in the offline world. It is being used across a number of industries, fuelling everything from innovative mobile apps to providing detailed intelligence and analytics around device movement.

For these applications to prosper the data that underpins them needs to be accurate. This is not always the case. We’d like to talk about some of the attributes which make location data reliable and actionable.

 

Accuracy and precision

These two things sound similar. But in the world of location, there is a subtle distinction. Accuracy refers to how close the measured location is to the actual location of the device. Precision refers to how close together a number of separate measurements are.

The precision provides the granular insights that overlay the accurate data sets. At Tamoco we add this precision through sensors and our proprietary SDK.

 

How we determine device location

Tamoco uses sensors that exist on our network to help with issues in accuracy.

The Tamoco SDK identifies these sensors which are in ‘known locations’. This allows the SDK to determine where the device is in relation to wither Bluetooth or wifi signal strength.

In some locations, GPS location can be inaccurate and imprecise. For example, inside a shopping centre where the GPS signal is not as strong. This is where Tamoco’s sensor-driven approach provides extra precision.

 

What are the sensors and what are the benefits?

Beacons

Beacons provide very accurate and precise data. These sensors can be used to place devices with an accuracy of 1m. Beacons are the most precise location sensor that is widely deployed.

WiFi

Very useful in identifying precise location in densely populated areas. These sensors help identify device location in areas such as shopping malls and large buildings.

GPS

Under the right conditions, GPS can be extremely accurate. The signal quality deteriorates quickly when the device is indoors and in areas where the device does not have an unobstructed view of GPS satellites.

The Tamoco SDK uses multiple sensors simultaneously to identify the location of the device. Often the device location is constantly updated as more sensors are identified. The SDK uses this information to determine context and then discount outliers in the data.

This process of identifying location can be visualized as a linear process. In this process, the Tamoco SDK uses a number of sensors to validate and adjust an initial location signal to a finalized and verified location, in the form of latitude and longitude.

 

Other factors that help to identify location

We use other device information to identify the accuracy of each location signal. We use vertical and horizontal accuracy to show the reliability of the lat-long derived from the device.

These fields are intended to provide transparency around location signals. Tamoco wants to include these so that partners, developers and clients can understand the level of accuracy in every data point that they process.

Standardizing this into an industry-wide and agreed measurement is the next step. Only location data providers with inaccurate data sets will have a reason not to adopt these standards.

 

Benefits

Why is this relevant for publishers?

These levels of accuracy mean that app partners can maximize their CPMs from the monetization of location signals. Many monetization partners pay higher amounts for accurate data sets. They are, unsurprisingly, unwilling to pay for data that is either inaccurate or imprecise.

If you use location in your app experience adding extra accuracy and precision will boost the experience for users. Delivering location-based communication and contextual app experiences are more likely to be a success with greater location accuracy.

Why is this important for data buyers?

Of course, the most important thing for a data buyer is the accuracy of the data. This is true regardless of the desired use.

Accuracy in location data means that insights are more reliable. Targeting is more effective. Using location data for complex tasks like visit attribution is nigh on impossible if the data is unreliable.

All data buyers should be sure that the location data they use is verified. Location data providers should be able to explain their methodology in detail to demonstrate that data sets are precise.

[mkdf_button size=”” type=”” text=”Get started with location” custom_class=”” icon_pack=”font_awesome” fa_icon=”” link=”/contact-data” target=”_self” color=”” hover_color=”” background_color=”” hover_background_color=”” border_color=”” hover_border_color=”” font_size=”” font_weight=”” margin=””]
Categories
Marketing & Advertising

Best Guide To Location-Based Marketing & Advertising 2021 + Examples

So as a marketer you want to know how location-based marketing can help you to reach your marketing goals?

It’s time to take a serious look at location. Big data is tearing up the rulebook in a number of different industries. This trend continues with data-driven marketing becoming the new normal. Mobile has changed many things, but it’s having a huge effect on the way that markers are using data to reach their goals.

The missing link in this equation is location data. The rise in mobile adoption has provided a much better and accurate understanding of how audiences behave in the offline world. This location data is allowing marketers to do incredible things, based on cold hard evidence.

We’re going to look at some examples of location-based marketing. Get ready to see how you can use location-based marketing to create effective campaigns. Learn how to use location data to provide powerful insights and measure attribution with precision.

 

What is location-based marketing and big data marketing?

Location data can be seen as a branch of big data. When the term big data is used people generally think first about quantity. Whilst this probably has to do with the reason that the terms exist, big data isn’t really about quantity.

We think that data is big in the sense that the impact is big. We think of location data as big because of it’s quality in both application and insight.

With that in mind, we can define big data as the collation of data from multiple sources. To inform better decision making, powerful targeting, and improved attribution.

Location data is big data that uses information about a person or group of people’s movement or behavior. This is used to understand wider trends and patterns. Location-based advertising and marketing use this data to fine-tune marketing efforts. But it is also used to generate better engagement and get valuable insights into customer behavior.

 

How can my business use location data and location-based mobile marketing

For marketers, it has sometimes been difficult to understand the benefits of location data. Especially whilst trying to get around the technical side of how it works. In the beginning, many companies had inaccurate data sets. But now the science behind location data has advanced greatly. This enables marketers by providing quick and reliable results. All by incorporating location data into their marketing strategy.

These uses are now much more accessible and easily combined with existing marketing efforts. Plug and play location-based marketing is now available. With this in mind let’s look at some of the key marketing practices that benefit from location data.

 

Location-based segmentation

Audience segmentation is a key challenge for any marketer. In order to optimize marketing dollars, it’s important to make sure that you are reaching the right people. It can sometimes be difficult to get this right, and often involves a lot of hypothesizing and testing as well as optimization.

Location can help to build powerful audience segments as it’s a key indicator of intent. For example, let’s say you make the active decision to walk into a specific location in a shop. It is then likely, at some level, for you to be interested in some of the products in that location.

Location can also be used to build historical audiences based on location history. This means that you might target a group of people who are health nuts. You’ll have many ways of doing this currently. But location adds something that isn’t possible through traditional targeting options.

You can build an audience of people who visit gyms twice a month and have been to a dedicated health and fitness store in the past three months. If you have a strong idea of the type of target audience your product sits well with then location is a powerful tool for identifying custom segments.

An important point to make is that these audiences can then be used in the way that best suits your needs as a marketer. You can target them through social media ads or send the data straight to a trading desk, DSP, DMP or other ad network. You can use it to overlay custom audiences to understand overlap. You can even use location to see the accuracy of your existing audiences and targeting.

[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”50px” bottom_margin=”20px”]

Improve your audience segmentation

[mkdf_button size=”” type=”” text=”Get started” custom_class=”” icon_pack=”font_awesome” fa_icon=”” link=”/solutions-advertising-marketing/” target=”_self” color=”” hover_color=”” background_color=”” hover_background_color=”” border_color=”” hover_border_color=”” font_size=”” font_weight=”” margin=””]
[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”20px” bottom_margin=”0px”]

Location-based targeting

Location tech is valuable for marketers because of the instant nature of data. Real-time insights allow targeting to occur in the moment, especially on mobile.

Location-based targeting is a powerful tool in any marketers arsenal. For targeting when users are in the right frame of mind for conversion, location is effective in driving engagement.

But location-based targeting is great for physical businesses with products in the real world. The ability to target audiences when they are either geographically close or in the right moment, location can be very effective in driving footfall or driving brand engagement.

An example is a location-based campaign that targets users when they are close to a physical store of venue. When the user enters a pre-defined location they are given a message that informs them of the CTA that is nearby.

This can be in the form on a push notification via a third party app on their phone. But it’s also possible for marketers to feed this real-time data into existing media buying tools that can deliver ads via other programmatic media. As long as this is real-time the audience is still in the relevant moment and therefore effective.

These kinds of campaigns get much higher engagement and conversion rates. Marketers can use location data to ensure that their real-time targeting is effective. With location, you’ll also get insight from these kinds of campaigns. These insights can help you to optimize your entire marketing department.

 

Location-based attribution

This is an area where location data is offering unique insights for marketers. The ability to measure the effect of advertising in the offline world is a relatively new concept. Especially at a level that rivals the detailed insights that are readily available in the digital realm.

Location-based advertising attribution is helping marketers to understand the complete effect of their efforts in the real world. Offline attribution is effective in a number of ways:

 

Measuring OOH

OOH, real-word adverts are big business for marketers. But there’s always been a problem – how do you measure the results? It’s difficult to attribute store visits or purchases to OOH. It’s also difficult to understand exactly how many people are exposed to advertising in the first place.

Location data makes these insights accessible. By listening to areas around OOH it’s possible to measure how many people have passed or remained close to the OOH advert. From this data, you can create insights on how many people have been ‘exposed’ to the OOH ad. Of course, this isn’t perfect as there’s no guarantee that everyone walking past saw or understood the message.

But location data makes it possible for marketers to then measure how many of these people perform the desired goal. This may be that they visit a retail store associated with the ad. This is an effective tool for marketers to be able to measure, test and optimize OOH advertising.

 

Measuring experiential or other offline advertising

Of course, this tech can be used to measure other forms of advertising. Take experiential, for example. Usually, these campaigns end with the consumer leaving with a sample of some kind. But attribution doesn’t come easy and many campaigns end with the basic insights. These are usually how many people visited the experiential stand, or how many samples were handed out.

But location data enables marketers to then say, with great precision, this many people engaged with our experiential stand. You can then identify the percentage of these people that visited the store within a certain period of time.

These insights are invaluable. They provide marketers with the opportunity to get digital insights on traditional offline marketing campaigns.

 

Measure the effect of digital advertising on offline goals

Location data is a powerful tool to associate online digital advertising to offline conversions.

For example, if you have a Facebook campaign you will have an idea of how many people saw your ad and even how many of these clicked your ad. But if your conversion is in the offline world, ie visiting a physical store, then this is where your campaign traditionally ends.

Sure there are some things you can do to pick up customers on the other side, like offer codes or loyalty schemes. But none of these will offer the same precision or reach as location data-driven marketing attribution.

Using location data marketers can understand the offline effects of digital advertising.

[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”50px” bottom_margin=”20px”]

Do attribution better, with location

[mkdf_button size=”” type=”” text=”Get started” custom_class=”” icon_pack=”font_awesome” fa_icon=”” link=”/solutions-advertising-marketing/” target=”_self” color=”” hover_color=”” background_color=”” hover_background_color=”” border_color=”” hover_border_color=”” font_size=”” font_weight=”” margin=””]
[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”20px” bottom_margin=”0px”]

Business intelligence and business analytics

For marketers, getting those insights on a micro and macro level are crucial when creating your strategy. In terms of insight, data is the new normal. You want to base your marketing decisions on data that is accurate and instant.

Understanding the customer is critical to any marketing department. Location intelligence is a powerful tool in the area of customer analysis. Try enriching customer data with demographic and anonymous lifestyle information. This allows marketers to create more effective databases and be better placed to predict where best to spend the marketing costs.

For brands with a physical venue or store location data can provide powerful insights into business performance. Understanding footfall and trends can help to inform on the ground business strategy. For example, retail location data can also help strategize how best to compliment physical retail stores with digital advertising.

Combine this with the ability to see data on competitors and other physical location and you have a powerful toolkit that marketers can use to put data at the centre of their decision making.

 

Personalization with location

For marketers, a key goal is to try and personalize the relationship between brand/product and the consumer/user. Of course, this can be difficult as it’s not always easy to completely understand your audience. It’s even more difficult to personalize your communications based on this, especially on a one to one level.

But analytical intelligence can be one solution to the personalization problem. Identifying the location of a customer can help brands and marketers to customize their message so that it is personal.

This could be a simple as including terms like welcoming back in your messaging. Or you can create entirely different communication for customers that are in different locations or have demonstrated previous patterns of behavior.

Communicating with your customers in this way can help to build stronger relationships and increase brand loyalty. This allows you to communicate with the right customer when they are in the right place with the right message.

 

How does location-based marketing work?

Location data is sourced from mobile devices. Sensors are used to understand and pinpoint these devices. This process is anonymized so that the user’s personal details are kept private.

These sensors come in a variety of forms – from beacons to Wi-Fi to geofences. Using a combination of sensors allows for greater accuracy and better scalability of data.

 

What is good location data?

You’ll need to make sure that your data provider is doing two things:

 

Can validate the accuracy of the data they collect.

This means you’ll need to understand what types of location data there is. Some are more precise than others. Some are real-time and others are delayed.

Generally, a data provider that can explain to you their methodology and is transparent about their data sources is a good start. Look for sensor-driven data sources such as beacons, GPS or wi-fi. First party data sources are much better than third-party, where the provider cannot validate the accuracy.

 

Can ensure that data is collected in a safe and secure way

Does your data provider have the correct opt-in procedures? Do they comply with current data collection legislation? These are all important questions that any good location-based marketing company will be happy to explain to you.

[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”50px” bottom_margin=”20px”]

Add location to your marketing today

[mkdf_button size=”” type=”” text=”Get started” custom_class=”” icon_pack=”font_awesome” fa_icon=”” link=”/contact-data” target=”_self” color=”” hover_color=”” background_color=”” hover_background_color=”” border_color=”” hover_border_color=”” font_size=”” font_weight=”” margin=””]
[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”20px” bottom_margin=”0px”]

What is location-based marketing?

Location-based marketing, also named geolocation marketing, is a form of mobile advertising that is highly personalized based on where the consumer is or has been.

How does location based marketing work?

Location based marketing works by using real-time device location to build detailed prolifes of how consumers move and behave in the real world.

Is an app needed to engage with location-based marketing?

Not at all, even brands without a dedicated mobile app can start using location based marketing to engage with consumers.

Categories
Data

How Big Data & Location Intelligence Is Changing The World

There’s no doubt that the explosive rise in the number of smartphones has changed the world as we know it. The increased number of sensors and connected devices has produced mountains of data. This is being used to transform the way that we live our lives.

IoT, location data, location intelligence, big data. Whatever your name for it, it’s hard to dispute the potential across a variety of industries

It’s now apparent that granular location data can provide unprecedented insight into the offline world. More businesses are realising the value of mobile location data and the impact it is having across the globe.

As we move away from unreliable data sets, sensor-driven accurate data sets are taking centre stage. This kind of accurate data has many applications. But I’d like to look at some that are having the greatest disruptive impact.

Business intelligence

The ability to notice trends by using data isn’t new. The ability to do this based on people’s activity in the offline world, in a close to real-time manner is.

Location intelligence reveals relationships between big data sets that often would be missed. It turns these insights into actionable business intelligence. Helping inform decisions, from the boardroom to the storefront.

From the small bar that is competing with huge chains of venues through to the small retailer competing with online mega corporations. These businesses are gaining valuable insights from using this kind of big data to inform their business strategy.

The truth is that mobile location data has now matured enough to solve many problems that both small business and enterprise face. Let’s look at a few:

Financial services – understanding footfall through big data sets is valuable for the financial sector. Mobile device data can help to forecast earnings and other KPIs before they are formally reported. This helps inform investment decisions.

Retail – big data can help both small and large retailers. Understanding store visits, as well as customer behaviour through mobile device data, is having many positive effects on the retail sector. These insights can help inform business decisions such as store layout, opening times, staffing and more.

 

Infrastructure and planning

We’ve all heard of the term smart city. We like to think that there’s more to it than just adding a few data points and putting the word smart in front of it. It is, in fact, more than that. We’re moving towards urban centres with huge populations and aspiring towards self-driving vehicles. Big data is the key to unlocking this truly smart future.

The rise in mobile device data has provided better opportunities to understand how cities work.  It’s helping to create systems and infrastructure that reflects this.

Combined with the increasing number of connected devices in cities, central planning authorities now have a set of tools that can inform decision making in many different areas.

Mobile location data is contributing to a better understanding of where demand for public infrastructure is greatest. For example, examining mobile device location data to understand the most cycled roads within a city. This information is precise and invaluable when planning where to implement new routes.

The same is true of traffic and congestion. In increasingly crowded and polluted megacities, it’s important to understand how traffic issues can be alleviated. Understanding traffic flow and where to build new road structures, or introduce new low emission zones is crucial to building the kind of smart city that can sustain current levels of population growth.

Big data is having a huge positive effect on this kind of planning. Thanks to the accuracy and uniqueness of mobile device data and location intelligence, it is changing how decisions are made in cities and towns around the world.

Marketing and advertising

Big data and marketing have always complimented each other. Marketers have always looked to use data sets to improve the efficiency and effect of ads. Using big data to create tailored and relevant audiences is not a new practice.

But mobile location data allows marketers and advertisers to connect digital advertising to how consumers behave when they are offline. Understanding how consumers move in the offline world is helping marketers to become more effective. It’s assisting marketers in providing more personal advertising to consumers.

Location intelligence is disrupting many stages of the consumer lifecycle. It’s bringing the analytical capabilities that have been available for the web to the real world.

 

Segmentation

Mobile device data is helping to build up complex pictures of how people move and behave. This helps advertisers to build complex customer profiles. Brands are finally understanding the places that their customers go and how they interact with the physical world around them.

This is far more effective than other methods of audience segmentation. This is because a person’s location is often a much greater sign of intent than when they are searching for something on a computer, or browsing on their phone whilst sat on the couch.

This allows marketers to identify exactly where consumers are on the buyer journey. Moreover, it allows them to do this with a greater level of detail.

 

Personalisation

One big breakthrough that big data has had on marketing and advertising is by increasing the ability personalise at scale

Location data is allowing brands to be helpful and human by understanding the situation of the customer. The concept isn’t new, but the accuracy and increasing size of data sets in the space have allowed commutation to really get personal.

Location help provide promotions at the moment when the customer can actually redeem it. It allows the ‘customers also bought’ experience to reach the real world retail store. In this way, big data is providing digital solutions to offline problems. Location intelligence is tailoring brand communications to a person’s unique experience of the real world.

 

Customer experience

Big data has changed customer experience for the better. Location intelligence can help to automate way-finding, ordering, assistance and queue management. Understanding the physical location of a person has helped improve the guest experience across many sectors.

Stadiums, resorts, airports, transport hubs all stand to improve the experience of the people who spend time and money in these places. It might be location based ticketing – you buy your ticket by walking onto a train. Or it may be ordering food and drink to your location.

There’s still huge scope for big data and location intelligence to be applied to improve the customer experience.

 

Attribution

Mobile device data as we have seen has connected many digital walks of life to offline consumer behaviour. Another way that this technology is revolutionising the marketing and advertising space is through attribution.

Traditionally many advertisers have been blind when it came to measuring the impact of offline ads on offline KPIs.

But the mobile device location data is filling in the blanks. Location intelligence can understand when a person is in front of, for example, OOH advertising. It can then measure how many of these people are then seen inside a store or in front of a specific physical product.

Connecting the two provides an accurate way for marketers to measure the impact and ROI of offline advertising inventory. it also allows them to measure the effect of digital advertising on an offline goal. These things have just not been possible with certainty before. But big data has changed the way that advertising can be measured.

 

AR

If AR is really going to live up to its promises, it will have to rely on complex data sets and accurate location intelligence.

As AR gains prominence it’s application will move beyond fun to play games to useful productivity applications (you can even combine it with some powerful notion templates to really level up). As AR develops, it’s used as a way of reaching audiences with content and advertising will grow. Like previous marketing activity, it will be improved by the use of big data and location intelligence.

AR will require huge amounts of accurate and real-time location data to function properly as a user moves around the real world.

Optimising the supply chain

Big data and location intelligence is impacting organisations that want to optimise the supply chain.

The obvious application of location intelligence in the supply chain lies in the ability to understand and track deliveries and supplies. It already being used to generate data sets which can optimise and improve these services.

But location intelligence isn’t just helping business to optimise the process. It’s helping to understand the demand for products. There’s a lot of history of people building something in the hope that people want it to then find out that actually, they don’t.

Another way that big data is helping manufacturing industry to optimise is by helping it to adjust the type of transportation, pickup location or place of sale.

With the rise of location data, these insights are now fuelled by information from the offline world. Insights that have previously been unattainable or have lagged are now available in real-time. This lies at the heart of what is disrupting how the supply chain operates.

 

Privacy and transparency

As usual with new disrupting activity, the focus in on the responsibility of these new technologies. And rightly so. Indeed those in the big data space will need to be more transparent in how data sets are sourced. 

It won’t be enough to simply check a box and start collecting and aggregating personal data. More needs to be done in order to clean up the data supply chain. More control needs to be handed to the user. 

In this way, it’s our responsibility to communicate the value of big data and location intelligence to the user. It’s having a huge positive impact across the globe, and that’s just more reason to get the privacy part right. 

[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”50px” bottom_margin=”20px”]

Learn more about big data

[mkdf_button size=”” type=”” text=”Learn more” custom_class=”” icon_pack=”font_awesome” fa_icon=”” link=”/blog” target=”_self” color=”” hover_color=”” background_color=”” hover_background_color=”” border_color=”” hover_border_color=”” font_size=”” font_weight=”” margin=””]
 
[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”20px” bottom_margin=”0px”]
Categories
Marketing & Advertising

The Evolution Of Location Based Marketing & Advertising

Let’s get stuck in with a definition.

Location-based marketing is the practice of using physical location to inform and optimize advertising, communication, targeting, loyalty and attribution.

This sometimes also known as location-based advertising or proximity marketing. At the most basic level, it means creating a one-to-one relationship with the customer. Emphasis is placed on communication in the right place, at the best time and with the relevant message.

 

A history of location-based marketing

Despite popular opinion, location-based advertising has been around for a while. Sure, it hasn’t always been backed by the smart technology in your mobile phone. Buy it has existed in some form. Local marketing strategies have been a key part of marketing since the practice began.

It might not have been as effective, but brands have been trying to target users based on location since well before most of you reading this were born. Advertising space has always been purchased based on its location. Be it a metro station in an affluent Paris Arrondissement. Or a teenager holding a sign advertising bagels in a certain street in NYC.

Location-based marketing has developed a lot since then. The underlying technology has advanced at an alarming rate. The ability to understand where audiences go and the ability to market to these is improved.

 

IP addresses and targeting over Wi-Fi

Location-based marketing has always been around. But, it did up its game in the 90’s once the internet found its way into most family homes.

The dial-up broadband revolution had begun. Most families now had internet access in their home through (a large) desktop computer. For marketers, this meant that advertising could be delivered to a user based on their IP address. Thus marketers could now target based on location, usually an area the size of a postal area.

There are a few problems though. Unless you have a very specific audience in a single geographical area, it’s difficult to ensure that you are targeting the right people. By today’s marketing standards, an entire postal area is just not specific enough.

Another problem that remains is the lack of ability to understand who is on the other end of the screen. When IP targeting was becoming popular, many families had a single computer. The whole family used this. Dad to research which TV to buy next. Mum to book the family holiday. Kids to play online games. This means that ad dollars could easily be wasted. As advertisers were under the impression that they were delivering highly targeted ads.

 

The beginnings of mobile targeting

Location-based mobile advertising was the next advance in location tech. Phones become truly mobile in the early 2000’s. They were used by the masses and even your gran had one. This meant two things:

It was now possible to advertise to an individual based on physical location whilst they were on the move.

Location-based marketing companies now had a means of segmentation down to a single person.

This was fantastic and all, but the main issues were still accuracy. Whilst the ability to target an individual on the move was well received, issues still remained. The area in which location could be accurately placed was still too large. Mobile targeting via phone masts was a vital step on the road to personalization. However, those in pursuit of accuracy were still frustrated. It often requires a form of phone validation to ensure the right person is reached.

 

GPS, geofencing and geotargeting

In the late 2000’s smartphones really took off. The first smart devices appeared and with the first iPhone, the race to create powerful mobile devices went mainstream. This led to rapid growth of mobile device adoption with GPS capability.

This changed mobile targeting for good. It was now possible to use a device’s precise GPS satellite positioning to understand device location. This process is known as geofencing, geomarketing, or geotargeting.

A geofence is a virtual boundary that is defined in order to perform a specific response once a device enters or leaves the defined area. More advanced geofencing is possible. An example is focusing on dwell time. Triggering a response when a device is within a geofence for a minimum amount of time.

The geofence allows for mobile targeting to occur on an individual level anywhere. It means that audience segmentation can occur based on individual movement. But it did more than previously possible. It was now far more accurate. This meant that personalization (relevant to location) was now available. Location-based marketing was now personal and precise.

 

Satellite problems and indoor confusion.

Location-based mobile targeting improved in accuracy with the geofence. However, on a precision basis, it’s still not perfect.

GPS has issues in some indoor spaces. So it might be incredibly effective at understanding where a person is in their car whilst driving. As soon as they enter an indoor space, GPS can be temperamental.

Some may argue that this level of detail is neither here nor there. But the problem arises when location data providers can’t differentiate between accurate data and inaccurate data. Advertisers and marketers don’t know when the data fuelling their campaigns is incorrect.

 

Beacons – iBeacon and Eddystone

You thought that it was location-based marketing you were doing before? How very wrong you were. Beacon adoption was a trend that changed location-based marketing and advertising even further.

Thanks to mobile devices and mobile targeting, advertisers would now focus all efforts on accuracy.

Beacons were the natural next step in this journey. Beacons are small Bluetooth devices that can interact with a mobile device. This interaction allows the device to understand exactly where the mobile device is with an accuracy down to 1 meter. Not only does it do this, it can measure positioning on a vertical basis.

There are two main types of beacon technology; iBeacon and Eddystone. These devices are deployed everywhere from shopping malls to sports stadiums.

This was the true beginning of proximity marketing. Delivering personalizable content with accuracy in precise micro-moments. These moments are relevant to the time, place and person. Beacons also allowed for accurate attribution in the offline world.

 

But what about scalability?

The problem with Beacons is that they require hardware to be deployed. Unlike Geofencing, where geofences can be set around any place that satellites can reach. Beacons must be physically deployed inside a store, or inside a football stadium. So these individual businesses can enjoy a high level of location-based marketing. Once a person leaves these areas they cannot get the same level of location-based insights.

 

Enter the network approach

The solution to this problem? The proximity network approach. To maintain beacon based, accurate levels across entire cities, it’s essential to collate this location based hardware. That’s what Tamoco’s proximity network is. It’s a complex network of location-based sensors. This allows for mobile targeting, location-based, marketing and location intelligence and insights at a consistently high level. Moreover, this is available whether the device is indoors, outside, on the first floor and so on.

One issue that many proximity marketing companies have had with location-based advertising is with scalability. Creating a proximity network of location allows for this scalability.

 

Sensory agnostic and a view of the future?

At Tamoco we take a sensory agnostic approach to location-based marketing. We believe that as technology advances, we need to able to adapt to the changing was that advertising, targeting and marketing will change.

A good example of this is the emerging tech around AR. An AR headset or device is still a sensor. Location is a means to an end for targeting through this medium.

By taking an agnostic approach and ensuring our network approach, we ensure that advertising and marketing can keep up with the cutting edge trends. Moreover, we can ensure that this is available with a precision and scale that those original metro advertisers could only dream of. Using location to improve marketing is here to stay.

[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”50px” bottom_margin=”20px”]

See how our data is different

[mkdf_button size=”” type=”” text=”Learn more” custom_class=”” icon_pack=”font_awesome” fa_icon=”” link=”/location-data/” target=”_self” color=”” hover_color=”” background_color=”” hover_background_color=”” border_color=”” hover_border_color=”” font_size=”” font_weight=”” margin=””]
[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”20px” bottom_margin=”0px”]
Categories
Data

Location Data And Location Intelligence In 2018

The big data analytics space is growing at an alarming rate. We’re all increasingly connected through our mobile devices. This growth has provided huge amounts of data around audiences and how they behave. What kind of competitive advantage can we expect to see from this location data going forward?

Location data is rising in importance. But there are challenges that companies face as location data becomes commonplace. Businesses will need to understand the best application for this data. We’ll look at this as well as how location intelligence will be put to use across many verticals.

How will location data change the way that businesses approach marketing?

Attribution

Location data will become invaluable to marketers as they look to close the online to offline attribution loop. Traditionally this has been a problem for marketers. It’s difficult to attribute real-world visits and purchases to online marketing. 

Location intelligence will help to illuminate what happens in the offline worldwith unprecedented accuracy. Big data will provide insights well beyond the capabilities of loyalty scenes.

As programming becomes more prevalent, location intelligence will be used to ensure that budgets are optimised. With the improvements in attribution, marketers will be able to accurately understand where ad fraud occurs.

Personalization

Big data breeds personalization. Many a case has been made for the importance of big data in personalization. Location intelligence will help marketers to automate personalization. This, in turn, will deliver accurate, personalized content to the right user in the right place.

Big data insights from location data

Location data will provide a competitive advantage, and not just in marketing and advertising. More industries are realising the benefits of real-time mobile location data.

Location data is being collected and stored by over 90% of companies with over 500 employees. The applications of this data are wide-reaching. Understanding consumer behaviour accurately, and in real-time will signal the adoption of location intelligence outside of the marketing and advertising industries. Location data will allow cities to become smarter. It will allow transportation to become more efficient. 

 

Accuracy and reliability of big data

The accuracy problem

The problem has previously been the accuracy of the data. For companies to use big data to inform business decisions, the data has to be reliable beyond doubt. Location intelligence and precise sensor-driven data now provide this certainty. 

Accuracy and precision will become of paramount importance as technology gets better.  It’s important that businesses that benefit from location data and location intelligence can safely say that they are working from accurate sources. 

First-party location data

Challenges in sourcing accurate first-party data were found with scalability. With a lack of first-party data, unreliable third-party data was used. Often out of date and imprecise, the insights were not reliable. Especially for businesses serious about using location intelligence for commercial success.

Today Tamoco adopts a network approach to location intelligence. This means that through our mobile SDK we can understand mobile device location directly. Thanks to our network approach, we can understand these signals across multiple sensors types. 

This improves accuracy and will allow businesses to act based on a more precise understanding of audience behaviour. 

Real-time data

Location intelligent decisions must be informed by real-time data. Location data must be instantaneous. Data that is out of date is simply not useful for businesses. This means that data must be communicated in real-time to optimise and achieve the desired goals. 

This is another reason why first-party data is important. It allows for location intelligence to occur quickly.

The location of things

The IoT will soon be in everything. For example, by 2020 IoT technology will be in 95% of new product designs for electronics. Now that’s great but it’s only the beginning.

This huge growth will produce large amounts of data. However, it’s may be difficult to interpret data sets without location. Location adds context and a better understanding of what is happening in a specific location. This allows us to better understand the offline world. 

The location of things – the IoT is actually only useful if you know where the thing is. Tamoco’s sensory agnostic approach allows us to gain location intelligence across a wide range of sensors. These range from beacons, Wi-Fi and Geofences to connected IoT devices. This approach allows us to understand location across many different sensors. This creates a deeper understanding of the offline world. Businesses using location data will have to take a similar approach to understand the connected world we live in.

[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”50px” bottom_margin=”20px”]

Discover location data

[mkdf_button size=”” type=”” text=”Get started” custom_class=”” icon_pack=”font_awesome” fa_icon=”” link=”/solutions-location-intelligence/” target=”_self” color=”” hover_color=”” background_color=”” hover_background_color=”” border_color=”” hover_border_color=”” font_size=”” font_weight=”” margin=””]
 
[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”20px” bottom_margin=”0px”]
Categories
Marketing & Advertising

How To Improve Mobile Targeting With Location Data

Mobile advertising is growing incredibly fast. Smartphone adoption has never been higher. Accordingly, marketers are adopting a mobile-first approach. As marketers look to target audiences on mobile devices, they will need to adapt to stay effective at targeting the right person, with the right message at the right time. 

Mobile targeting is set to pass other channels as more budget is being allocated to reaching audiences on the move. To stay ahead here’s how to improve mobile targeting and advertising using location data and today’s location based marketing technology. 

 

Location intelligence is an effective method to improve mobile targeting

Location data is a useful tool to help target mobile devices effectively. It allows in-depth segmentation of mobile audiences. It also facilitates real-time message delivery based on a device’s location.

This level of accurate data insight improves the effectiveness of mobile targeting. Location based marketing has been proven to increase engagement and conversion rates. This is because mobile targeting occurs contextually, at the best possible moment.

Location data is used to build complex mobile audiences profiles. This is achieved by understanding these anonymous location signals. Mobile targeting campaigns should feel personal and relevant to the user.  This is achieved by applying offline behaviour to the targeting process. 

Adding location intelligence to mobile targeting means less chance of delivering content that is irrelevant or annoying. In a world of increased ad-blocking, users want marketing to be helpful. Location based marketing allows mobile targeting campaigns to be just this. They reach users in the best moment with personalized and useful relevancy of the content

 

Personalize mobile content and combine this with relevant mobile targeting

Location intelligence allows brands and marketers to target users in real-time with accurate and personalized content. Ensure that mobile campaigns combine accurate targeting with contextual content relevant to the user’s location. Personalization should extend beyond simply addressing a user by name. It should be personalized to a level that reflects the location and situation of the mobile device. 

Personalization is key to successful mobile targeting. Improving the relevancy of the content will improve the success of campaigns. High-level mobile personalization is achieved with accurate location data. Understanding the situation of a mobile user allows content to be targeted and personalised. Users are more likely to interact with content that is targeted to their situation. 

 

Make sure your data is accurate and precise

Using location intelligence to target mobile users in the right micro-moment will improve campaign performance. Targeting devices at exactly the right time ensure that you will reach the user in the best place at the right moment. This requires the location data that fuels your campaign to be precise and instant.

Ensure that your location data partner that can source accurate data in real-time to inform your mobile targeting campaigns. Ask how your data is sourced. Using third-party data may not be helpful as it could be incorrectly sourced or out of date. 

There’s a lot of bad location data out there. Effective mobile targeting should be based on first-party data sourced from precise sensors. For example, at Tamoco, we source location signals across multiple different sensor types. This helps to understand device location with accuracy. It also ensures that errors in location data are not included in data sets. Data is also sourced from first-party sources. This means that there is little chance of data being out of date, or lose accuracy through the reselling of source data. 

Marketers should take accuracy and precision seriously. It means that mobile targeting campaign budgets are as efficient as possible. It ensures that brands and advertisers don’t waste time and money targeting the wrong audience. Each advertising dollar goes further as brands get better, more accurate mobile targeting. 

 

Apply mobile targeting and attribution across channels

Use location intelligence to understand if your mobile targeting is working. Location based marketing provides accurate attribution after devices are targeted. This allows marketers to understand campaign performance in the offline world. The aim of your targeted mobile campaign might be to send users to a specific store. It makes sense to measure the performance of this using location based attribution.

Many mobile marketers aren’t aware of the huge potential for location in closing the online to offline attribution loop. It can help brands to make better mobile targeting decisions over time.

[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”50px” bottom_margin=”20px”]

Discover location based marketing

[mkdf_button size=”” type=”” text=”Get started” custom_class=”” icon_pack=”font_awesome” fa_icon=”” link=”/solutions-advertising-marketing/” target=”_self” color=”” hover_color=”” background_color=”” hover_background_color=”” border_color=”” hover_border_color=”” font_size=”” font_weight=”” margin=””]
 
[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”20px” bottom_margin=”0px”]
Categories
Apps

How To Improve Your App Growth Strategy With Location Data

By 2020 it’s predicted that there will be over 5 million apps in the world. To compete with this number of apps you’re going to need to have a well-planned app strategy to keep your current users happy and find new ones.

If it’s your job to ensure that your app is growing its user base and engagement rates, you might be overlooking a useful tool.

Location data can help with many app challenges facing developers. Using location intelligence you can improve your app engagement strategy, fine tune your app marketing, find new app users and develop your app monetization strategy.

What is location data?

Location data is simply data that provides insights around audience movement. 

This means that users who opt-in to location sharing, receive an improved (or personalized) experience in return. This data has been used for ad targeting in the past, but its application in mobile apps is relevant for developers as it helps improve mobile app experience, and boosts mobile app growth.

 

Onboarding, user acquisition and app marketing

Your app marketing strategy can benefit hugely from location intelligence. When finding and acquiring new users it’s important to understand your current users as well as possible. This helps you to understand the type of user that will get the most from your app.

Location insights form your app can help you to understand how your users behave in the real world. These insights are valuable when creating an effective user acquisition plan. Using location intelligence you can understand patterns in user behaviour which can help you to fine-tune your app marketing strategy.

It’s essentially understanding your users and identifying traits that group them together. But using location data these insights are more profound.

You can use this data to decide where is best to spend your marketing budget. If you can see that your current users spend a lot of their time in cafes. Then it would make sense to focus your app user acquisition strategy on users in similar locations.

You can add location intelligence to your current paid advertising, be it PPC, social advertising or web adverts. By ensuring that only users that are likely to download and enjoy your app are targeted, you’ll get a better result, and you’ll save money.

 

Engagement

Your app engagement strategy is fundamental to the success and growth of your mobile app. Learning how to engage your mobile users is part of every developer’s journey – but this can be boosted with location insights.

At the heart of every mobile app engagement strategy lies push notifications. In-app engagement requires communication with your users. But, be very careful. It can be easy to focus only on app engagement metrics and overdo push frequency. This will only serve to annoy your users, and your app engagement strategy will suffer.

Best push notification practices include location. It’s all about communicating with your users in the right micro-moment. Using location this moment can be so accurately defined that your push notifications won’t feel annoying in the slightest.

To increase mobile app engagement you’ll need to define these moments. Using location data you can see in which moments (time and place) your users are most engaged with your app.

From here you can segment notification delivery to users based on where they are. Deliver only in these micro-moments to ensure that your push notification strategy stays relevant.

You’ll see higher engagement rates, your user experience will be improved and they will get more value from your app with location.

 

Monetization

There are many app monetization challenges that developers must consider. Of course, every app needs to generate revenue – but your app monetization plan must consider the user experience.

Many developers don’t realise that they are missing out on one of the most effective mobile app monetization strategies – monetizing app data.

Mobiel app audiences generate a lot of data. This data is valuable for many different businesses for a variety of reasons.

There are a few crucial benefits of this kind of app monetization strategy. First of all, you can say goodbye to in-app ads.

You can source location data in the background of the app – meaning that the app user experience is not affected by monetization – as it is in other app monetization strategies. That’s why location data monetization can be the best app monetization strategy in terms of user experience.

Secondly, you’ll get more app revenue per user. Location data CPMs can be up to 4 times higher than traditional monetization strategies.

As well as this, the platform becomes less relevant. If you’re 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.

Of course, you’ll need a reliable partner that is experienced in securing big data. It’s also important to get a partner that can help you explain the process to your users.

 

How to add location to your mobile app

You can get access to all of these services with the Tamoco SDK It gives you access to location-based push notifications – which help you to improve app engagement.

The SDK will help you to access location insights around your mobile users. It will help you to form an effective mobile app monetization strategy. Or you can utilize the data for the personalization or improve your app experience.

For a demo of what you can do with location get in touch via the form below.

[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”50px” bottom_margin=”20px”]

Grow your app with Tamoco

[mkdf_button size=”” type=”” text=”Get started” custom_class=”” icon_pack=”font_awesome” fa_icon=”” link=”/solutions-app-developers/” target=”_self” color=”” hover_color=”” background_color=”” hover_background_color=”” border_color=”” hover_border_color=”” font_size=”” font_weight=”” margin=””]
 
[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”20px” bottom_margin=”0px”]
Categories
Marketing & Advertising

From Location Data To Movement – Why Brands Should Pay Attention

From location to movement – why brands should pay attention.

As marketers are realising the importance of location data, it’s important that they understand the difference between location and movement. They must ensure that the data that informs their strategy is accurate. 

 

What are location signals?

Location signals are useful for many different kinds of marketing, and can even provide value for a wide range of businesses beyond this domain. When a mobile device notices a location sensor, it can discern its position in relation to this sensor. This occurs in the background, the user does not have to be on their phone. As most people carry their mobile device on them regularly, this means that it’s possible to understand audience behaviour in a multitude of places. This has not been possible before. This is what we call the offline world and it’s an area that is incredibly useful to understand for a variety of reasons. Offline to online marketing is becoming more accessible for brands as the results of its effectiveness come in. 

 

Why location signals should be accurate

If “data is the new oil” then the quality needs to be considered by those buying the data. Many location data providers are sourcing unreliable location signals. These individual signals are often only from one sensor and can often be misleading for the end data user. By using a series of different location sensors and multiple location points location data becomes more reliable and actionable. Much location data that is sourced from older methods are broken. This needs to be fixed. Accurate location signals combined with complex layering of location data means a moment away from individual, vague location signals towards audience movement – a leap that is much more beneficial for mobile marketers.  

 

The move towards movement data

It’s important to note that there may be single location signals which do not accurately represent a person’s behaviour. A great example of this is receiving a location signal which places a device close by to a brand’s store. This seems useful for the brand, but multiple data points are instead required to create a detailed profile for this person. Using one location point doesn’t tell us if the person is entering or leaving the store. We don’t know where they came from. We don’t know which section of your store they visited. These extra points are accessible with a network approach to location data. That’s the benefit that we have over deploying sensors only inside your store.

Movement data is much more valuable as it demonstrates a person’s intentions and provides much more context around audience behaviour. By using multiple signals it’s possible to get a much deeper understanding of customers and to eliminate potential data outliers. 

 

Layers of location data and complete understanding of consumers

As a brand looking to get the most from accurate location data, it becomes important to focus on this movement instead of individual location. It also means creating multiple layers of location behaviour and building complex understanding of audiences in the offline world. This means constructing accurate profiles around audiences and providing context to understand how and why customers are interacting with your venue or product. For example – realising that someone commutes from an affluent borough and works nearby a jewellery store would constitute a context ripe for marketing for said upmarket jewellery store. 

It’s these layers of location data that build up complex contextual audience profiles and facilitates accurate attribution and allows brands to communicate with their audience with personalised one-to-one marketing. 

 

Application in mobile marketing

Movement signals become extremely valuable for business when applied to mobile marketing. In-depth location data allows brands to communicate one-to-one with their audiences. By understanding the customer journey completely brands can deliver content to audiences that are relevant and valuable to the end user. This level of personalisation involves communicating with audiences in certain locations. This is the traditional application for mobile location data, but this is just the initial step once we have a large number of movement data. 

There are multiple applications beyond content delivery based on movement. Large scale data around consumers offline activity provides incredible insightsthat brands can act upon across their entire marketing strategy. You might realise that many of your customers work nearby, and browse your products on their lunch break. Maybe most visitors come via a specific tube station. This is valuable information when thinking about OOH advertising or store planning. The development from location signals to complex audience movement data should be at the centre of any effective marketing strategy. 

Another area where this is applicable is retargeting. Movement data can help to segment audiences and target people who are further along the consumer journey. This means a much higher ROI and by reaching audiences at the right time with the right content, more effective results. The important aspect of a network approach to this is that this movement data can be understood in external locations – not just inside your own venues. 

It turns out that not all location data was created equally. It’s now time for marketers to push their marketing strategies towards movement.

[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”50px” bottom_margin=”20px”]

Discover location based marketing

[mkdf_button size=”” type=”” text=”Get started” custom_class=”” icon_pack=”font_awesome” fa_icon=”” link=”/solutions-advertising-marketing/” target=”_self” color=”” hover_color=”” background_color=”” hover_background_color=”” border_color=”” hover_border_color=”” font_size=”” font_weight=”” margin=””]
 
[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”20px” bottom_margin=”0px”]
Categories
Marketing & Advertising

Location data and the leap towards smart advertising

Brand advertising is changing thanks to location data. It’s becoming much more personal and the relationship between advertiser and consumer is evolving.

 

Connecting the offline and the online

Location data is leaving its mark on marketing and advertising. Huge amounts of data on what goes on in the offline world is allowing brands to change the way they communicate with their customers. 

Location data provides insights into the offline world. This works by understanding where a mobile device is in relation to a proximity sensor. This allows brands to understand the customer journey in great detail, and more towards more personalised, intelligent advertising. 

 

Personalisation is key for marketers and advertisers

Before these kinds of insights were possible, brands used targeted adverts to reach their audience. The advert was often the same regardless of who engaged with it. There was little place for personalisation. The impact of accurate location data has produced the move away from this traditional method of advertising to new personalisation strategies and the desire for brands to create a one-to-one relationship between brands and their customers. This kind of advertising enjoys much higher engagement rates.

This is happening because of location data. It provides the insights that can facilitate this new kind of advertising as it paints a clearer picture of what is going on in the offline world. Personalised advertising is booming and should form an essential part of any digital marketing strategy.

 

Answering the why and how

It’s now possible to understand the consumer journey in great detail. Methods of collecting location data have made this scalable, allowing brands to create a complex understanding of the behaviour and interaction of large audiences. 

These insights answer important questions around consumer behaviour. This level of insight has previously been unattainable. Brands can now confidently answer the why question confidently. That is – why consumers are in certain locations at certain times and why they are interacting with certain brands or products. This attribution is now extended to the offline world. 

It provides brands with the ability to learn and adapt in ways that have previously been impossible. This allows brands to be able to answer complex questions surrounding their customers, products and marketing strategy. With location data, brands can build up complex understandings of their customers and locations. This helps to answer important questions, such as why is footfall up on Wednesdays? Or why a certain product is outselling another? 

 

A complete, smarter kind of advertising

Brands are utilising this and developing a much more effective way of communicating with their customers. This involves a one-to-one method of advertising. This feels personal and relevant for the customer and provides them with value. Audiences get content that is appropriate to their situation, rather than annoying adverts that they don’t want or need. Location data is changing digital and mobile marketing, and the way in which brands and audiences communicate. 

Contextual advertising and location-based mobile marketing is the best way to personalise the experience. This level of personalisation, based on experience, is part of the driving force towards a new kind of advertising. 

[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”50px” bottom_margin=”20px”]

Discover location based marketing

[mkdf_button size=”” type=”” text=”Get started” custom_class=”” icon_pack=”font_awesome” fa_icon=”” link=”/solutions-advertising-marketing/” target=”_self” color=”” hover_color=”” background_color=”” hover_background_color=”” border_color=”” hover_border_color=”” font_size=”” font_weight=”” margin=””]
 
[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”20px” bottom_margin=”0px”]
Categories
Apps

How to Drive Brand App Engagement With Location Data

Adding location to your brand’s mobile app will improve engagement and drive downloads.

As an app publisher, it’s important to keep your audience interested and engaged. Nobody wants to slip into a folder on the third page of the home screen. To keep users fascinated by your app, it’s crucial that you provide them with content that is relevant and provides them with value. One way of doing this is with location. 

Apps are integral parts of daily micro-moments, with users spending on average over 30 hours per month in apps. These micro-moments are important for brands to connect with their customers and it’s here that apps create relationships with their audiences. 

A mobile app can complement a brand’s offline experience, drive online sales, or just connect with audiences. One thing that improves all of these experiences is location.

 

Location and engagement for brand apps

Most users are downloading brands app for mainly practical reasons. Maybe it’s to track their orders or find physical real world locations without having to attempt to navigate their mobile browser. But what if it was possible to provide value to users beyond this.

Using location, you can push to your users based on where they are. Further, it’s possible to achieve this at relevant times. For example, you can send a notification to your app audiences when they are close by to a physical store, with promotions, connecting the digital to the physical store. Users who have a positive experience of an app are more likely to keep them installed. Apps that ease their daily lives are valuable, and contextual notifications are valuable for apps.

An example of this can be informing users of offers in nearby places. Understanding where your app is used and prompting them with solutions when in these locations before they even think to use your app as a solution. For example, imagine you have a high street clothes store app on your phone. When you walk into the store you look at your phone to see a notification with something along the lines of “welcome to [insert your store name], head to the third floor for 30% off lingerie”. You can even know that the user has been searching for lingerie already on your app and segment the delivery of these notifications to those whom it’s most relevant. Personalisation is key with proximity mobile marketing. 

 

Driving in-app sales

For all those e-commerce apps out there, number one is sales. How can you drive sales and ensure that you are targeting the right app users with the right notifications? Well, using the Tamoco proximity SDK you can understand how your users behave. That means if you are an online meal delivery app, you can gain insights into which app users have visited venues on your order list. You could then, for example, send a notification to users that reads something along the lines of “why not enjoy [insert restaurant name] for dinner tonight. Available through [insert your app]. Again this provides huge value for the user, optimises your mobile marketing spend and boosts in app sales.

Using the Tamoco analytics platform you can see where your users are making purchases and generate insights around their behaviour. All this is crucial to understanding how audiences are engaging with your app.

Don’t get lost in the app store back catalogue. Make sure that your app engages and reengages with audiences using location via the Tamoco proximity SDK.

[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”50px” bottom_margin=”20px”]

Grow your app with Tamoco

[mkdf_button size=”” type=”” text=”Get started” custom_class=”” icon_pack=”font_awesome” fa_icon=”” link=”/solutions-app-developers/” target=”_self” color=”” hover_color=”” background_color=”” hover_background_color=”” border_color=”” hover_border_color=”” font_size=”” font_weight=”” margin=””]
 
[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”20px” bottom_margin=”0px”]