Build trust through fact.
Your advertisers don't believe the numbers. Let's fix that.
The trust problem
Your media agencies and direct advertisers are questioning your results. Not because your inventory doesn't work — but because the only proof comes from you.
Every publisher faces this: the data that demonstrates your value is data you produced. Advertisers know you have an incentive to make it look good. Agencies know their clients are skeptical. When budgets get reviewed, the platform that can show independent proof keeps the money. The one that can't loses it.
This isn't about whether your inventory drives results. It's about whether anyone believes you when you say it does.
Independent data changes the conversation
When the proof comes from an independent source — not your sales team, not your ad server, not your internal analytics — the conversation changes fundamentally.
It stops being "are these numbers real?" and starts being "what do we do about what they show?"
NEXT90's Insights & Data Engine — the IDE — independently traces how your programming and inventory influence consumer behavior — by market, by daypart, by genre, by specific airing. Web traffic, search activity, phone calls, conversions — traced back to specific delivery in specific markets. Verified by context, geography, and time.
This is data from a platform with no stake in whether your inventory looks good or bad. It represents reality. If your inventory drives influence, the data shows it. If it doesn't, the data shows that too.
That honesty is what makes it trustworthy. And trust is what keeps budgets from moving.
Your inventory makes their digital work better
Here's what nobody tells publishers: digital platforms are stealing credit for the influence your inventory created. A viewer sees your broadcast spot, picks up their phone, searches on Google, and converts. Google claims the conversion. Your station gets nothing.
With closed-loop data, we can prove the chain — and do something about it. When the actual journey (broadcast → search → call → revenue) gets uploaded back to Google Ads and Facebook, those platforms learn that your inventory was the stimulus. Their algorithms optimize differently when they know the truth.
Your inventory isn't competing with digital. It's making digital work better. And now there's data to show it — data that doesn't come from you, so nobody can accuse you of clawing back credit.
Content signal intelligence: know what works and why
Most measurement stops at "did the ad work?" That is not enough for a publisher who needs to sell smarter.
The IDE traces not just whether your inventory drove response, but which programming, which daypart, and which genre produced the strongest results — down to specific airings in specific markets.
Daypart Intelligence
Which dayparts produce the strongest results — prime access vs. late fringe, morning vs. evening — down to specific airings in specific markets.
Genre Performance
News might drive dramatically higher lift than entertainment. Content signal data reveals which programming is actually driving influence and which is filling time.
Market Precision
A Tuesday morning run on a local affiliate might generate more web sessions than a Thursday prime time spot on a national feed. Market-level clarity.
This is content signal intelligence. It turns your programming schedule into a data asset. Your sales team stops pitching rate cards and starts pitching performance data — "this daypart, this genre, this market combination drove the highest advertiser response last quarter." That is a fundamentally different conversation than "here's our CPM."
For publishers with diverse programming lineups, content signal data reveals which inventory is actually driving influence and which is filling time. That clarity lets you price smarter, package better, and defend your highest-performing inventory with independent evidence.
Stop defending. Start directing.
Once the trust problem is solved and the full chain is visible, the conversation shifts to strategy.
Your advertisers no longer need you to justify your numbers. They need you to help them act on what the numbers show. Which dayparts are driving the strongest response? Which programming genres perform best for their category? Where are the geographic gaps they should fill with digital?
You become the partner who helps them optimize — not the vendor who has to prove they're not inflating.
A new revenue stream: audiences only you can offer
Your networks, stations, websites, and apps generate audiences. The IDE sees which viewers respond to which stimuli, in which markets, during which programming, at which dayparts.
Those response patterns become activatable audience segments. Here is how it works: when the IDE traces response across your inventory, it identifies clusters of behavior — viewers in a specific market who respond to a specific genre during a specific daypart. Those clusters are not theoretical. They are observed patterns built from actual consumer behavior tied to your programming.
Observed Audiences
The IDE identifies clusters of behavior — viewers in a specific market who respond to a specific genre during a specific daypart. Not theoretical. Observed patterns from actual consumer behavior.
Cross-Channel Activation
Segments activate across programmatic, CTV, and search. Advertisers running on your broadcast inventory can extend reach into the same audience through digital channels.
Linear Dead Zones
ZIP codes within a DMA where your broadcast is airing but digital response is low. Those Dead Zones become targeting opportunities — programmatic or CTV packages that fill the gaps.
Those segments activate across programmatic, CTV, and search. An advertiser running on your broadcast inventory can extend reach into the same audience through digital channels — using segments that only exist because of your programming and your markets. For a broadcast station, this is a first: a truly unique digital product derived from your broadcast audience.
The IDE can also identify Linear Dead Zones — ZIP codes within a DMA where your broadcast is airing but digital response is low. Those Dead Zones become targeting opportunities. Instead of wasting impressions, you can offer advertisers a programmatic or CTV package that fills the gaps your broadcast is missing. That is inventory optimization powered by independent data, not guesswork.
Nobody else can build these audiences. Because nobody else has your programming, your markets, and independent influence data combined.
Keep the client. Optimize the mix.
Many publishers have both broadcast and digital products. When independent data shows where broadcast is strong and where digital should supplement, you can help advertisers optimize the mix — instead of losing the entire budget to a digital-only competitor.
Closed-loop feedback makes this stronger over time. Each campaign cycle produces more data. More data means sharper audience segments, clearer content signal patterns, and tighter geographic targeting. The advertiser sees their results improve quarter over quarter — not because you are promising better numbers, but because the system is learning from real outcomes and feeding that intelligence back into the next buy.
That feedback loop is what makes your inventory demonstrably more valuable over time. The longer an advertiser runs with you, the better the data gets. The better the data gets, the harder it is for them to leave. Not because of a contract — because of compounding performance they cannot replicate anywhere else.
The advertiser keeps working with you because you're the one showing them the full picture, not defending a piece of it.
Let's build the trust
Your inventory drives influence. Let's prove it with data that doesn't come from you.
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