Performance Marketing in 2026: What Has Changed and What Still Works
Privacy regulations, AI-generated content, and shifting platform algorithms have rewritten the playbook. Here is what our growth team is seeing across $30M+ in managed ad spend.
Across $30M+ of managed ad spend in the last twelve months, three things have changed for performance marketing and three things have held constant.
What has changed. Attribution is now a probabilistic discipline, not a deterministic one. The last-click reports your finance team is still reconciling against are wrong in ways that matter — usually over-crediting branded search and under-crediting mid-funnel video. Replace them with a Markov-chain or media-mix model calibrated against your own holdout experiments. Second, creative production is now the bottleneck. Platforms want more variants, refreshed faster, and AI-assisted generation is the only way to keep up without blowing the creative team's budget. Third, first-party data is now a hard competitive moat; brands without a CDP are running on cycling cookies.
What still works. Audience architecture built around high-LTV cohorts beats lookalike modelling on cold traffic. Landing-page performance (LCP, INP, CLS) still moves paid-channel ROAS by double digits. And creative testing with statistical rigour — sample-size calculations before launch, not after — still outperforms creative testing that calls a winner on six conversions.