How a Geo-Focused Strategy Grew Good Eat'n's In-Store Sales 16%

Challenge

Good Eat'n was investing in paid media nationally with a straightforward ambition: more shoppers buying more often, in more places.

What the brand lacked was a way to connect the investment to the outcome. Media performance came back in impressions, clicks, and platform-attributed conversions. But the brand's revenue happens at shelf, across thousands of stores, and nothing in a standard media report says whether any of that activity moved a unit off one.

That gap shapes every decision that follows it. Without knowing what actually produces sell-through, a brand cannot tell which markets deserve more weight, cannot separate the media that builds demand from the media that only accumulates impressions, and cannot make a confident case for increasing media investment. With distribution already in place, the open question was the paid media model: whether concentrated investment could reliably move product, and whether that was repeatable enough to scale.

Solution

We partnered with the brand to build a geo-focused strategy.

It started from a shared question. Could concentrating spend into a single strong market force a definitive win at the stores in it? We turned that into a testable design.

We chose the lead market together, on brand presence rather than media cost. The efficient media choice would have been the cheapest market to buy. The brand knew where its physical momentum already was: in-market sampling, a broadcast partnership, event activations, and retail roadshows on the calendar. We weighted the program there. Media that compounds real-world presence produces a result worth measuring, and media bought purely on cost produces a cheap impression.

We built search around the actual doors. Rather than target metros, we built campaigns around the specific retail locations carrying the product, bidding toward shoppers showing retail intent near those stores. Aiming media at precisely the trade areas whose sell-through would be measured is what made the eventual number defensible.

Brand and conversion ran on the same map. Awareness content and creator-led video ran where the sell-through work ran, sequenced against the brand's own in-market activity rather than operating on a separate calendar.

We agreed the scoreboard before launch. The program would be judged on retail sell-through in the target markets, read against the brand's sell-through at the same retailer nationally. Most media programs get judged on broad metrics. This one was judged on units moving off shelves. That is what turned a media plan into evidence.

Results

Within three weeks, sales at the retailer's stores in the lead market grew roughly two and a half times faster than the brand's growth at that retailer nationally.

The pattern held as the program continued. Eight weeks in, the test region was up about 10% and the lead market about 16%.

Brand signals moved with it. Branded search for Good Eat'n grew into a meaningful campaign in its own right, converting at a rate approaching the benchmark for established brands. That is recognition rather than reach, and it compounds. A shopper searching by name has already decided before reaching the aisle.

What It Proved

Good Eat'n now knows what its paid media does at the shelf. Not that the media performed, but that concentrating it in a market moved product off that market's shelves faster than the brand was moving nationally, in the same season, with the same product.

That is a different kind of asset than a performance report. It is a demand signal the brand can act on and point to: in decisions about where to weight investment, in conversations about expanding distribution, in the case for a larger media budget.

It also sets up what comes next. An approach proven in one market can be aimed at the next, with a playbook and a measurement design already in place. The question on the table is no longer whether the media works. It is where we point it next.