In November 2022, a US-based private label brand with six SKUs reached out to me. On paper, the account looked healthy – products priced from $14.99 upwards, decent reviews, and steady sales. But behind the scenes, they were stuck. Despite the potential of their product catalog, revenue had plateaued, brand share was stagnant, and their Amazon PPC strategy lacked direction.
When I reviewed the campaigns, it became clear that budgets were spread thin across too many campaigns, starving high-performing areas of the fuel they needed. The client was essentially paying for visibility without gaining meaningful growth.
The first step was a deep PPC data analysis using pivot-table methods. By breaking down performance by match type, campaign type, and placement, I was able to identify the “winners” – the keywords, placements, and campaigns that delivered the best ROI. Budgets were then redistributed with precision, funneling more spend into proven high-converting segments and cutting waste in underperforming areas.
