I decided to adopt a weekly analytics review cadence, tailor KPIs to each business’s objective, and automate data pipelines that push performance data to Meta and Google.
Decision: Adopt a weekly analytics review cadence.
Decision: Tailor KPIs to the business’s primary objective (lead generation or conversions).
Decision: Implement automated data pipelines that push weekly aggregated performance tables to Meta and Google via their APIs.
Additional observations emphasize that analytics should be the first activity after each marketing week, metrics must align with business goals, and continuous data feeds keep platform AI up‑to‑date.
Data analytics is the first thing you do after a week of marketing and understand what works and what doesn’t.
You have to keep metrics that makes sense for your goals and business, not every business can optimise ads on lead generation or just conversions.
Keep sending back the data to meta and google, so that your ad learnings get continuously updater by their AI and algorithms