Analyzing Frequented Locations Using Customer Movement Data

Analyzing Frequented Locations Using Customer Movement Data

When you know where people go in the real world, and what they do there, you can learn a lot about their interests, lifestyles, and habits. Pseudonymous mobile location signals, when properly cleansed, aggregated, and enriched, give marketers access to valuable offline insights. This customer movement data can be used to boost the performance of your campaigns, for competitive intelligence, and to improve your customer experience.

We process billions of daily location signals to build our industry-leading Data-As-A-Service, or DaaS, offerings. These offerings include Observations,  Visitations, Personas, Frequented Locations, Device User Agent, and IP Address data. Our Frequented Locations data includes only those places that people routinely visit and this provides your business with information about which places are the most important to your customers.

What are Frequented Locations?

Our Frequented Locations data delivers up to 10 repeatedly visited locations associated with every mobile device in our system. This customer movement data location is geo-hashed to level 9. We also provide place category and name when available. Buyers of our Frequented Locations data can easily aggregate device activity at any geographic area of interest or by category, if desired.

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How can I use Frequented Locations?

Our customer movement data can be used to discover highly-engaged customers. This data gives companies insight into common visitation patterns to determine where customers are going the most often. When businesses analyze consumer movement, they are able to use the data to answer questions such as:

  • Which commercial places of interest do customers visit the most?
  • Where do your customers frequently go when they aren’t shopping at your retail store? 
  • Where are your customers likely to be at different times of day – in the morning, afternoon, or evening? (Known as day-parting)

Examples of how to use customer movement data include fraud detection, personalization, and trade area analyses. Customer movement data is vital for marketers looking to enhance their customer data and enrich customer identity graphs. By understanding where your customers frequently spend their time, you can tailor your advertising and marketing messaging. This increases the likelihood of sales and customer loyalty. A day-parting analysis is a great way for retailers and restaurants to understand when they can expect to have the most foot traffic. Companies are also able to use customer movement data to conduct trade area analyses. The results of a trade area analysis provides market analysts with a better understanding of who their customers are and where they are coming from. In addition, companies looking to prevent fraud can use customer movement data for fraud detection. For example, an insurance company can use this type of location data to validate information provided by their partners.

Real-World Customer Movement Data

Customer movement data is a must-have for companies interested in getting ahead of their competition. Without this type of data, businesses won’t be able to understand where their customers frequently go in the real world. This can hinder customer relations and prevent marketers from being able to know who their target audience is. Therefore, you’ll need the most up-to-date customer movement data. Our Frequented Locations data is regularly recalculated, so you can be assured that your data remains up-to-date. As customer movement patterns change, our location data is updated accordingly.

Talk with a Gravy Analytics sales representative to learn how location intelligence can benefit your business.

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