By Karim Rayes, Chief Product Officer, Nexxen
Brands and advertisers have spent the past several years investing heavily in first-party data, and for good reason – privacy regulation, signal loss and media fragmentation have made direct customer relationships more valuable than ever. But treating first-party data as a complete strategy can, in some cases, be a half-baked approach –lacking the scale and context required to turn planning into confident activation.
Right now, teams will often plan against idealized audience definitions – intent-driven segments, mindset-based personas and the like – then activate against something entirely different. In many cases, brands conduct planning within their own platforms using rich first-party data, only to execute campaigns against completely disconnected third-party datasets. Put more tactically, brands will introduce their first-party data to demand-side platforms (or DSPs), typically by uploading CRM files or onboarding audience lists through a data partner, where they’re matched to the identifiers available and turned into targetable segments. From there, these segments are often activated in isolation or used for retargeting, without being meaningfully connected to the broader framework. Planning and activation become separate exercises, connected by little more than hope that performance will follow.
To take the guesswork out of planning, first-party data must be connected to premium, privacy-safe third-party data that provides scale, context and real-world behavioral insight.
This approach doesn’t replace first-party data; it operationalizes it. First-party data provides the foundation and truth set, while third-party data provides the context and expansion layer. Together, they allow advertisers to plan against audiences they can actually activate, rather than abstract segments that exist only in theory.
When advertisers bring their first-party data into a DSP enriched with its own third-party insights – which can include content consumption, viewing behavior and device-level intelligence – that data becomes more actionable. Instead of limiting campaigns to known customers or shrinking retargeting pools, brands can build custom audiences that look and behave like their ideal customers, but at a scale that supports meaningful reach and frequency.
The benefits are especially clear in channels like connected TV, where audience fragmentation has made traditional planning assumptions unreliable. Without enriched data, advertisers are often forced to choose between precision and scale, either over-targeting small audiences or overpaying for broad reach. Bridging first- and third-party data allows for a more balanced approach, enabling incremental reach while preserving relevance and performance.
Just as importantly, this data connection improves measurement. When planning and activation are built on the same audience framework in a DSP, it becomes easier to understand what’s driving outcomes, optimize while campaigns are in flight and connect upper-funnel exposure to downstream impact. The entire media lifecycle becomes more cohesive and less speculative.
The takeaway for advertisers is clear: First-party data is a starting point, not the whole picture. To plan with confidence in our fragmented media landscape, brands must invest in infrastructure that allows their data to be responsibly enriched, scaled and activated without friction.
Bring your data, bridge it with trusted third-party insight and build audiences that align planning with reality. That’s how advertisers move from educated guessing to deliberate, repeatable, full-funnel performance.
