Why media buying needs an offline data backbone

More than just points on a map

The value of location data has grown as the industry has moved past blunt radius targeting and started using geography as a smarter, more strategic framework for planning and measurement.

And it’s so much more than a set of coordinates. Location data can be specific, named points-of-interest, it could be consumer behavior combined with day-parting, or it could be visitors to your store – tied to ad exposure.

It’s also a powerful intent signal. Unlike isolated transactional data (often siloed to a single brand), or online browsing (a weak proxy for intent), physical location is a strong indicator of consumer behavior.

The caveat, as with all data these days, is to make sure it’s privacy-safe. It must be given with consent, no sensitive categories should be included, and it should be used in cohorts, rather than as raw or individual data points. And, of course, it needs to be compliant with local laws (such as GDPR or CCPA).

With so many uses, location data can act as the connective tissue that’s much needed in modern media planning.

Adding value to agencies’ client service

As agencies build more in-house data capabilities, they must ensure that they retain expertise in different data types. And, in particular, they must understand the ins-and-outs of offline action data: how to build it, analyze it, and troubleshoot it effectively. That’s because any data type positioned as a potential ‘data spine ’, whether viewership data, browsing behavior, or universal IDs, comes with its own complexities.

Understanding offline actions is particularly attractive to certain sectors, for instance QSR (fast food) brands, retail stores, travel and tourism, or automotive. When a client has a reliance on physical location, connecting online media spend to offline behaviors is immensely valuable.

I see two ways that location data can increase the value agencies provide for clients:

• Competitive differentiation: Media agencies need unique points of value. By ingesting core insights, they can apply their own data science to create bespoke solutions they can market to clients. They can also help to satisfy new minimum enhancements criteria for reselling third-party products.
• Strategic integration: As media agencies look to solidify their standing by becoming an increasingly strategic partner, they should aim to move beyond simple campaign-based interactions and toward strategic integrations. Reliable, evergreen data sets facilitate this strategic foundation.

Integrating offline data into planning tools, or measurement tools, for instance, makes the capabilities of these products much more compelling.

Scaling omnichannel success

This strategic approach is already proving its revenue-driving power in the Out of Home (OOH) media space. Location data and audience intelligence can be used to score inventory – not based on traffic volume, but on the presence of high-value, targeted audiences.

This system enables tactics like competitive battlegrounds, using location-based proximity to create compelling competitive plays. For example, nudging a consumer toward one store at the exact moment they’re near a rival location.

But OOH is just the starting point. Increasingly, we’re seeing this data act as the connective spine for fully omnichannel programmatic campaigns, spanning mobile, CTV, and retail media. This is the innovative end of the spectrum, and it’s where the agencies best positioned to weather today’s upheavals are operating: delivering more sophisticated, more effective campaigns that clients genuinely value.

Ultimately, in a landscape defined by fragmentation and flux, offline behavior data offers a rare point of certainty. Used as a strategic spine, it brings scale, accountability, and cohesion to media – helping brands and agencies move faster, plan smarter, and win in an increasingly complex ecosystem.