Marketing

Analyzing ad performance with business context

AI reviews ad and business performance data using custom guidelines so creative recommendations align with CAC, LTV, attribution, and long-term growth goals.

Why the human is still essential here

A marketer still has to define the business model, choose the right source of truth, and interpret nuances AI would miss, like why one ad worked within a broader funnel.

How people use this

CAC and MER performance summaries

AI reviews attribution dashboards and ecommerce metrics to explain whether paid media is hitting CAC, MER, and revenue goals week over week.

Triple Whale / Northbeam

Creative winner-loser diagnosis

AI analyzes exported ad results to compare hooks, CTR, CPA, and retention signals so teams can see why certain creatives are outperforming others.

ChatGPT / Claude

Attribution-aware strategy memo

AI turns raw channel and business data into a weekly narrative with recommendations that account for blended performance, payback, and growth tradeoffs.

Claude / ChatGPT

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Community stories (1)

YouTube

How I Use AI for Better Ad Concepts (Without Losing the Human Touch)

And in this video, I'm going to show you an amazing system that I've implemented to be able to do a lot of the heavy work and the heavy mental load that is required to come up with great ad ideas. Outsource that part to AI, but leave the one part where is actually required that I have my human input, my human taste to actually turn all the research and all the data into good ideas.

Ole StrandFounder of a boutique Meta Ads agency

Apr 7, 2026