$50K to $170K. Seven months. Unoptimized listings to market share leader.
In June 2022 we partnered with a Home and Kitchen brand generating $50K per month with underperforming listings and campaigns that were not built around the right keywords. Seven months later monthly revenue stood at $170K a 240% increase driven by keyword architecture, funnel-based PPC strategy, and systematic listing optimization.
What we found.
What we fixed.
The brand had revenue but it was capped by structural problems not product problems. The listings were not built around what buyers actually search for. The campaigns were not organized to move traffic through the decision funnel efficiently. Both were fixable, and both had to be fixed simultaneously.
Three keyword layers.
One coherent system.
Using Helium 10 and DataDive, we built a complete keyword architecture organized by position, intent, and conversion potential. Every keyword had a specific role. Budget followed conversion data, not assumptions.
Used Helium 10 and DataDive to identify the keywords holding the highest organic ranking potential in the Home and Kitchen category. These were the terms where a position improvement would generate the largest organic traffic gain with the lowest incremental ad spend.
Conducted deep long-tail keyword research to identify the specific, intent-rich phrases buyers use when they are ready to purchase not just browsing. Long-tail terms convert at higher rates and at lower cost than broad category terms, making them the most efficient path to maintaining healthy TACoS and ACoS throughout scaling.
Actively integrated the best-performing search terms discovered through campaign data directly into product listing titles, bullets, and backend fields. This created a reinforcing loop ads discovered which terms convert, and those terms were then embedded in the listing to build organic rank for the same keywords that were already proven to drive purchases.
Horizontal and vertical
keyword funneling.
Most PPC managers run Broad, Phrase, and Exact campaigns in isolation. We used horizontal and vertical funneling to systematically move best-performing keywords from discovery into precision targeting.
Broad campaigns discovered which terms convert. Phrase campaigns scaled the winners. Exact campaigns locked in the highest performers at tightly controlled bids. Every week, conversion data determined which keywords graduated to the next stage.
Wide-net targeting to find converting terms. New keywords enter here and are evaluated by conversion data before moving forward.
Best-converting Broad terms moved here for scaled targeting with tighter match control and improved bid efficiency.
Top performers locked in at exact match with precise bid control maximum efficiency, minimum wasted spend on the brand's highest-converting terms.
Created Sponsored Brand Product Collection campaigns specifically structured around keyword intent categories each collection targeting a defined audience segment within the Home and Kitchen category. This increased brand visibility at the top of search results and drove customers to a curated product view rather than a single listing.
Explored Amazon Lightning Deals and coupon strategies to create urgency and drive conversion spikes during key sales windows. Discounts were designed to move inventory velocity and generate review momentum without permanently anchoring price expectations.
Implemented Subscribe and Save across eligible SKUs to build a recurring buyer base and reduce the cost of repeat purchases. Subscription customers dramatically lower long-term TACoS by removing the need to advertise to buyers who have already proven they want the product.
Budget was not set and held static. It was actively redistributed every week based on keyword competitiveness and live campaign performance data moving spend away from underperformers and amplifying what the conversion data confirmed was working.
Three metrics.
All moved.
Every number tracked from the baseline at engagement start. Revenue, advertising efficiency, and cost control all improved simultaneously proof that the strategy was not buying growth at the expense of margin.
The Home and Kitchen brand entered this engagement with good products, limited visibility, and campaigns that were not built to scale. By rebuilding the keyword architecture from scratch, implementing a structured Broad to Phrase to Exact campaign funnel, and integrating campaign learnings directly back into listing optimization, the account grew 240% while maintaining advertising efficiency throughout. The 21% TACoS and 32% ACoS were not ceiling constraints they were evidence that organic rank was growing in proportion to ad-driven revenue, exactly as designed.