Stop negotiating TV’s cost. Start measuring its return.

Autumn brings the usual reset – new programming grids, new campaigns, media plans dusted off for the new season. It’s also a good moment to check whether the assumption underneath those plans still holds.

For years, cross-channel media planning ran on one quiet assumption: a TV ad airs, people pick up their phones, and they search or shop. That handoff is breaking down.

In the latest Focus On study, only 40% of Romanian viewers now say they go online exclusively during commercial breaks – the lowest level recorded across all 11 waves. Only 39% say a TV ad has actually prompted them to look up a product online, also a new low.

TV itself isn’t the problem. Smart TV ownership just hit a record 91%, and watching TV while being online is still the most common way people consume it. What’s weakening is not attention to TV, but the automatic link between the TV moment and the digital action that used to follow it.

That’s exactly why the old way of justifying a TV buy doesn’t hold up anymore. Procurement or marketing asks why a slot costs what it costs, and the answer is usually “reach”, “GRPs”, or “brand awareness” – numbers that only ever worked because everyone assumed the digital follow-through happened on its own. Now that it doesn’t, none of those numbers prove anything actually happened after the ad aired.

When cost is the only number on the table, the cheapest option wins every time, whether or not it performs best. What changes that conversation isn’t a bigger budget – it’s proof, campaign by campaign, of which part of the TV investment actually generated a response.

That’s the gap Spot Power is built to close. Instead of stopping at reach and frequency, it tracks what happens on-site in the minutes after a spot airs, isolating the visits that land within a tight window of broadcast – a measured handoff, not an assumed one.

What that looks like in practice

In a recent campaign we measured for a retail brand, TV directly accounted for 22% of the brand’s total website visits: traffic landing within five minutes of a spot going to air. Not modeled, not inferred from a survey: a number with a timestamp attached. At that level of precision, patterns emerge that a reach-and-frequency plan would never surface:

• kids’ programming and female-skewing channels consistently outperformed;
• one niche children’s channel delivered over 15% of attributed visits on under 3% of total investment, beating every prime-time placement in the plan;
• morning and daytime slots outperformed early fringe and prime time;
• weekdays beat weekends on response and cost per visit, and response kept climbing as the campaign built cumulative reach, meaning the plan got more efficient the longer it ran.

Why this changes the negotiation

Once return can be quantified this precisely, procurement isn’t negotiating a CPM, but an investment. “Your prime-time rate is expensive” becomes a different sentence when the answer is a specific return, by channel category, day-part, and weekday. The negotiation doesn’t disappear; it shifts from squeezing the rate card to committing more budget to what’s already proven to work.

Turning one campaign’s data into a planning framework

The point of measuring a campaign this closely isn’t a tidier end-of-flight deck; it’s what that data lets you do going forward:

• re-run the model every wave, so a pattern becomes a plan, not a one-off;
• optimize for the sweet spot of response, reach, and cost together, not any one metric in isolation;
• treat the next flight as a test, shifting weight toward what already worked while still testing enough to keep learning.

Handled this way, TV stops being a line item re-argued every quarter and becomes a channel with a track record – one where next year’s budget is built on what already worked, not on how hard someone negotiated.
That’s a different conversation to walk into a budget meeting with.

Photos @Pexels