The mobility data difference: Closing gaps across the customer journey

Key takeaways

• Mobility data captures how, when, and why people move, offering rich insights that complement traditional mobile location data.
• Mobility data provides behavioral context, enabling businesses to build deeper customer connections and make smarter decisions.
• Arity, a mobility data and analytics company, emphasizes the value of mobility data in transforming industries like insurance, marketing, and transportation by delivering more actionable, privacy-conscious insights.

Introduction

If you rely on location data alone, you’re not wrong — but you are missing context.

Location data tells you where people are. It can show foot traffic, dwell time, and proximity. But on its own, it leaves blind spots around how, when, and why people move. Without those inputs, you’re only seeing part of the picture — and this data gap can hinder strategic decision-making.

This is where many organizations get stuck. They have location data but not the behavioral signals needed to fully understand risk, intent, or opportunity.

Where location data is strong — and where it falls short

Location data is a foundational input. It’s useful for understanding presence, frequency, and patterns tied to place. But because it captures movement as points on a map, it lacks the behavioral context that explains what’s actually happening between those points.

That gap can show up as:

• Incomplete views of customer behavior
• Misinterpretation of intent
• Delayed response to emerging risk or change

None of these are failures of location data — they’re limitations of using it in isolation.

How mobility data fills the gaps

Mobility data builds on location data by adding behavioral context. It captures entire customer journeys, not just where they appear on a map.

By layering mobility data on top of existing location data, organizations can:

• Understand how trips unfold from start to finish
• See patterns in speed, routes, dwell time, and frequency
• Identify risk, opportunity, and change earlier

Instead of replacing location data, mobility data completes the picture.

A more complete view leads to better decisions

When location and mobility data are used together, insights become clearer and more actionable.

You move from knowing where something happened to understanding what’s happening and why it matters. That added context helps teams:

• Make more data-driven decisions
• Reduce blind spots in analysis
• Act earlier, not after outcomes show up in lagging metrics

The difference isn’t mobility data versus location data. It’s what becomes possible when the two work together.

Insurers: Use mobility data to more accurately assess risk 

Mobility data can be a game-changer for territorial pricing. For the first time, carriers can access granular, real-time data that reflects how people actually drive in specific territories. This can open the door to more accurate and dynamic pricing models.

For example, mobility data helped a regional insurer further refine their pricing. With mobility data, they improved segmentation, reduced bias, and covered data blind spots as a complement of credibility to their own data. See the customer story.

Mobile apps: Improve the omnichannel customer experience  

User retention is far from guaranteed for app publishers. Approximately 50% of apps are uninstalled within 30 days after download. By using mobility data to inform relevant in-app experiences results, you can increase customer retention over time.  

When users have in-app experiences tailored to their needs, they are more likely to stay engaged. Mobility data can support:  

• Retail: Extend relevant offers to the right customers at the right place at the right time. 
• Family safety: Create a seamless integration between smart home features and vehicles offers a unique benefit for safety-conscious consumers.   

Approximately 50% of apps are uninstalled within 30 days after download.

Marketers and their agencies: Target your ideal customers  

Retail marketers have long used demographic data to target prospective customers. But what if they could also leverage data that reveals when and where their ideal customer cohorts are most likely to make a purchase?

Mobility data, also known as driving behavior data, can do just that. It can reveal where and when their ideal customer cohorts are most likely to buy – making it easier to reach prospective customers at the right place and the right time.

One CPG brand used mobility data to inform a targeted advertising campaign to get local customers in the door. The mobility data campaign outperformed generic behavioral audiences with a 320% incremental lift. Read the customer case study.

Conclusion

Mobility data is a powerful new way to sharpen insurance pricing, improve the customer experience, and reach the right customers. Find out how mobility data solutions can power your industry.