From 172% to 21.62% ACOS in Just 30 Days — A Kindle Promotion Breakthrough by Nexa Solutions HuB

We started with a full diagnostic audit of the existing campaigns. Every running ad was reviewed for performance, targeting, spend, and structure. Most campaigns had overlapping keywords, loose matches, and no negative keyword strategy, causing inflated costs and low efficiency.

Next, we rebuilt the campaign structure from scratch. We separated auto and manual campaigns, and within them, further segmented by match types (exact, phrase, broad). This allowed us to control bids more accurately and track keyword-specific performance.

We used deep keyword research tools to identify high-intent keywords tailored to the book’s niche. We avoided generic keywords and focused on long-tail search terms with buyer intent. These formed the base of the manual campaigns that would drive conversions efficiently.

In auto campaigns, we activated all targeting options (close match, loose match, complements, and substitutes), but placed tight bids and closely monitored the spend. We extracted converting search terms and immediately migrated them to manual campaigns to scale.

We implemented a strict negative keyword policy. Every 48 hours, we reviewed search term reports, identifying and excluding non-converting or irrelevant keywords. This helped reduce waste and improved ACOS within the first 7 days.

We optimized the book’s product detail page, including title, subtitle, and description. Conversion improvements on the page meant every ad click had a higher chance of turning into a sale. This step is often overlooked, but it significantly boosted the ROI.

We ran A/B tests with ad copy variations, testing different hooks in the custom text for Sponsored Brands and adjusting headlines based on reader engagement. The ad version with the best CTR and conversion rate was scaled aggressively.

We introduced ASIN targeting to show ads on competing and complementary books. This strategy intercepted warm traffic — readers already browsing similar titles — and led them directly to our client’s listing at a low CPC.

We also carefully tracked placement performance. We noticed that Top of Search placements were converting better at a slightly higher CPC, so we increased placement bid modifiers to win premium visibility without overbidding across the board.

To ensure consistent results, we applied dayparting — turning off ads during underperforming hours and focusing budget on peak buying windows. This helped us stretch the daily spend while maintaining higher conversions per dollar spent.

Our team monitored the campaign daily, adjusting bids based on real-time data. If a keyword began to lose efficiency, we cut the bid. If it improved, we scaled it. This adaptive bidding approach ensured we stayed profitable at every stage.

By mid-month, we had discovered several keywords and ASINs that had outstanding performance. We created dedicated campaigns around them with higher budgets and optimized bids, further improving ACOS and overall return.

As the campaigns stabilized, we began reducing reliance on auto campaigns, shifting to a manual-dominant setup with controlled targeting and smarter bidding. This maximized control over performance and reduced unexpected spend spikes.

Throughout the process, we provided the client with detailed weekly reports, outlining wins, metrics, and next steps. This transparency reassured the client and helped them understand the strategy behind the numbers.

By day 30, we had achieved what seemed impossible before — turning around a failing ad strategy from 172% ACOS to just 21.62%, generating 256 orders and $7,040 in sales from a $1,522 ad spend.