Why Is The Founder Watching Sales By The Hour?

Did that $7,000 commercial actually drive those sales?

That’s the question one fast-growing company still couldn’t confidently answer.

Their attribution had gotten so difficult that their founder developed his own way of finding out.

He watches the commercial air.

Then watches the sales come in that hour.

And this isn’t some small company flying blind.

They grew 218% YoY in 2025.

They spend roughly $1.4M to $1.5M a month on advertising.

They have Power BI.

GA4.

Meta and Google reporting.

Agencies.

Multiple attribution and measurement tools.

Yet one member of their team described the situation this way:

“The attribution that we look at is really difficult.”

So difficult that:

“Our founder actually watches the commercial and watches the sales at that hour.”

And when someone asked if he’d be satisfied getting a more reliable answer the following day?

“Yes, but he’ll still do it.”

It sounds extreme.

Until you understand what’s riding on the answer.

Some of their 30-second TV spots cost $7,000.

And in one recent month, they spent almost $1 million on linear TV alone.

The team already suspected that was too much.

So now they have a very expensive decision to make:

Keep feeding nearly $1 million into TV...

Or pull some of that money and move it into Meta, YouTube and other channels they believe could push the business further.

Get that decision right and millions in future spend can move toward the channels actually creating more sales.

Get it wrong and they could keep buying expensive TV inventory that isn’t creating the return they think it is.

Or make the opposite mistake...

Cut TV that actually is driving the business and move the money somewhere worse.

That’s what their attribution needs to answer.

Instead, their current model establishes a baseline for sales on their website and Amazon.

Then it looks at the 30 minutes after a commercial airs.

Anything above the baseline gets attributed to TV.

Commercial airs.

Sales jump.

TV gets the credit.

There’s just one enormous problem.

What if those customers were going to buy anyway?

Many of their commercials run during prime shopping hours.

So the commercial airs at 8:00.

Sales jump at 8:15.

It looks like the $7,000 worked.

But did the commercial actually create those orders?

Or did it simply air while people were already shopping?

Because if those customers were going to buy anyway...

TV could be getting millions in future budget based on sales it didn’t actually create.

And the problem isn’t a lack of measurement.

It’s almost the opposite.

Their agency-built Power BI model can’t identify roughly 35% of users.

Meta has its answer.

Google has its answer.

GA4 has its answer.

Other attribution tools have theirs.

Yet there’s still only one actual sale.

As one member of the team put it:

“It makes everything so murky that you really can’t read anything.”

That’s the trap.

More attribution doesn’t necessarily create more certainty.

Because seeing what happened after you spent the money isn’t the same as knowing what happened because you spent the money.

A sales spike after a commercial is a signal.

It isn’t proof.

But there is another way to look at it.

Instead of automatically giving TV credit for every sale that follows a commercial...

You can look at what changes across the entire business.

When TV spend changes, what happens to purchases?

When Meta changes, what happens?

Google?

Different networks?

Different days?

And when you layer those signals on top of the sales you can already connect directly to advertising...

You can start separating who got credit for the sale from which advertising actually had an impact on it.

That changes the decision completely.

Now you’re not staring at a sales spike after a $7,000 commercial and wondering if it worked.

You can start seeing whether TV is actually moving sales...

Which networks are having the greatest impact...

Where you’re already hitting diminishing returns...

And where the next dollar has more room to work.

For this company, that could finally answer the question sitting underneath almost $1 million a month in TV spend:

Should we keep putting this much money into TV?

Or would some of those dollars create more sales somewhere else?

That’s the kind of answer their founder is trying to get by watching the register.

Except now it can be answered by looking at the impact across the entire media mix...

Not by assuming every sale that happens after a commercial belongs to the commercial.

Because for all the complexity hiding inside modern attribution, this team’s goal was surprisingly simple.

In their own words:

“We want to spend money where it works.”

There’s now a way to get much closer to that answer without watching the register and guessing.