Amazon Ads Split-Test Optimizer

Job ID: 40131836

Budget: $250 – $750 USD

This project centres on running a series of tightly controlled, small-batch tests in Amazon Ads for the very first book in my upcoming series. Over the next one to three months I want to iterate quickly, learn fast, and ultimately drive down wasted spend while lifting performance.

The core objective is clear: every decision should move the account toward leaner, smarter spend. Click-through rate will be the primary signal we watch, so each test must be designed to reveal which creative, keyword set, bid, or placement improves that metric before we roll findings into broader campaigns.

I will provide:
• Full KDP listing details, current keywords, and ad history (if any).
• Daily budget caps and any creative assets that must remain consistent with brand guidelines.

What I expect in return:
• A concise test plan outlining variables, duration, and expected sample size.
• Hands-on setup and management of Sponsored Products (and, where useful, Sponsored Brands or Lockscreen ads).
• Weekly summaries showing CTR, impressions, spend, and early read on ROAS.
• A final optimisation report with clear “keep / pause / scale” recommendations I can apply to the sequels already in the pipeline.

Tool familiarity with Amazon Advertising console, KDP dashboard, and spreadsheet-based data analysis will be essential. If the first book meets its efficiency targets, there is immediate follow-on work across the next four titles.