To properly test all creative styles and identify what performs best, I’d structure the campaign using segmented ad sets across Meta Ads Manager and Google Ads. Each ad set would isolate a specific variable — for example, static ads versus video. This separation would allow me to measure true performance differences without interference from targeting or placement inconsistencies. I’d define success using clear KPIs like click-through rate, conversion rate, cost per result, and video watch-through rate — giving me insight into which creatives were not only visually engaging but also driving action.

 

Using PureGym’s CRM data, I’d test how each creative resonates with different audience types — new vs. existing members, or casual browsers vs. engaged users. Retargeting flows would allow me to reinforce the strongest visuals or test alternate styles to re-engage non-converting users. Based on weekly performance results, I’d reallocate spend toward the best-performing creatives and iterate on visuals, copy, or format as needed — using a test-learn-optimise cycle to refine direction and scale the most effective approach.