Performance Marketing
Performance Marketing for E-commerce Brands
A framework for judging paid media on contribution rather than platform-reported returns, and for keeping creative supply ahead of fatigue.
· 10 min read · Planet Creators Media Editorial Team
In short
Performance marketing for e-commerce is the management of paid acquisition against measurable commercial outcomes. The core discipline is judging spend on blended customer acquisition cost and contribution margin rather than platform-reported ROAS, and maintaining a creative pipeline fast enough to replace assets as they fatigue.
Start from contribution, not ROAS
A platform ROAS figure is a claim, not a measurement of incremental profit. Calculate contribution after cost of goods, fulfilment, payment fees and media, then decide what return the business actually needs. That number differs between businesses with different margins and repeat purchase rates.
Give each channel a job
Prospecting, consideration, capture and retention are different jobs with different efficiency expectations. When every campaign is judged on the same ROAS target, budget concentrates in capture and the top of the funnel starves — which shows up two months later as a rising blended acquisition cost.
Creative supply is the real constraint
Most accounts stop scaling because they run out of new creative, not because the audience is exhausted. A creator and UGC production pipeline solves this more economically than studio production alone, and it produces formats that already look native to the feed.
Validate with holdouts
Where budgets justify it, geo holdouts and scheduled pauses give a far better read on incrementality than attribution settings. They are inconvenient, and they routinely change spending decisions for the better.
Common questions
- What is the difference between blended and channel CAC?
- Channel CAC divides a channel's spend by the conversions that channel claims. Blended CAC divides total marketing spend by total new customers. Blended CAC is harder to game and usually the better decision metric.
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