The work, with the numbers attached.

Go Cartwheel came to us with a listing that converted well when shoppers found it, and ad spend that mostly wasn't finding them. The account was two years old, ranked for its own brand name, and invisible for the terms buyers were actually searching.

We started with the diagnostic: a full audit of search term coverage against the category's real volume, not just what the existing campaigns already targeted. Fourteen high-volume terms with real purchase intent had zero coverage across the account's entire campaign structure.

Month one was rebuild, not expansion: consolidating overlapping ad groups, killing spend on terms with a 90-day zero-conversion history, and rebuilding the campaign structure around the fourteen terms we'd found. Budget didn't increase; it moved.

Sales were up 124% by the end of the first month. The part we watch closer than the spike: the following two months held above the new baseline, which told us it was the account's real demand ceiling moving, not a one-week fluke.

This client's instinct, like most brands watching sales plateau, was to spend more. Our first recommendation was the opposite: don't add a dollar of ad budget until we know exactly where the current budget is leaking.

The audit found the leak in three places: a Sponsored Display campaign running on auto-targeting with no negative keyword list, bid multipliers left at platform defaults since launch, and a top-of-search placement modifier that had quietly crept up over eight months of automated bidding with no one auditing it.

We cut the leaks before touching the strategy. Ad spend came down 30% in the first billing cycle from that change alone: no campaigns paused, no reach lost, just money stopped going to placements and terms that had never converted.

With the account's real efficiency established, we reallocated (not added) budget into the terms already proving conversion. Sales were up 20% within the same quarter, on a lower total ad spend than when we started.

Power Pretzels was buried past page three of its category, a real product with real repeat buyers, undiscoverable to anyone who hadn't already bought it once. Best Seller Rank doesn't move on ad spend alone; it moves on conversion rate, sustained sales velocity, and relevance to search.

We rebuilt the listing from the customer's actual questions outward, pulling real review and Q&A language instead of guessing at search intent, restructuring the bullet copy around what buyers were actually asking before they converted, and correcting a category miscategorization that had been suppressing relevance for a year.

Advertising followed the listing fix, not the other way around: once the page converted the traffic it already had, we scaled spend into that improved conversion rate rather than pushing more traffic at an unconverting page.

BSR improved 11× over the engagement, and the listing earned the Amazon's Choice badge, which brought a second wave of organic traffic on top of the paid lift. Holding the badge became its own workstream: watching stock levels and review velocity so a stockout or a bad week of reviews couldn't hand it back.