Predictive budget
Allocate budget with predictive models, not last-click.
§ 01 · The problem
Classic attribution — last-click, linear — does not capture how AI search, agents and walled gardens now converge. Whoever still allocates this way leaves 20–40% of efficiency on the table.
§ 02 · What it includes
- 01Media Mix Modeling with inputs from Google, Meta, TikTok, LinkedIn and offline channels (if relevant)
- 02Predictive budget allocation model with weekly feedback and monthly retraining
- 03Incrementality validation (geo-lift, holdouts) — not just model-on-model
- 04CFO-readable marginal contribution dashboard by channel and campaign
§ 03 · Output
Numbers you can actually make budget decisions on — not the ones each platform tells you to justify itself.
Indicative timeline
8–10 weeks
§ 04 · In the same pillar
Other 5 services in AI-Powered Ads.
- 01Google Ads AIPerformance Max, smart bidding, generative assets — used with discipline.
- 02Meta creative intelligenceAdvantage+ and Creative Hub actually used, not as placeholders.
- 03TikTok AI-nativeSpark Ads, Symphony, creator partnerships — without a bad copy of the Meta playbook.
- 04LinkedIn B2B AIAccount-based advertising, intent signals, creatives built for decision-makers.
- 05Creative lab AIA system that produces hundreds of on-brand variants every sprint.
§ Next step
One brief.
One proposal.
One call.
We respond in 1–2 business days with targeted questions or a first working hypothesis. No pitch, no gimmicks.