Get AI recommendations on which Facebook ads to scale or stop

Analyzes your Facebook ad performance against your own benchmarks and tells you what to scale, fix, or stop.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues.

Pattern: Parallel Split (2) ยท Synchronisation (3)

flowchart TD trig(["scheduled ad data pull"]):::trigtime s0[("log raw metrics")]:::store s1["compare ai recommendations"]:::task s2[("write recommendations to sheet")]:::store trig --> s0 s1 --> s2 gx{"+ which ai analyzes the data"}:::gate s0 --> gx p00["analyze against benchmarks"]:::task gx -->|"openai analysis"| p00 p10["analyze against benchmarks"]:::task gx -->|"gemini analysis"| p10 jn{"+ combine ai opinions"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"sheet with ai recommendations"/]:::out pay{{"faster objective ad decisions"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepA record or sheetEvery pathWaits for allResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsSocial Media ManagementSpreadsheet & Database Ops
Connects
Facebook AdsGoogle SheetsOpenAIGoogle Gemini

The problem it solves

Digging through ads manager reports to figure out which creatives are actually working takes real time, and it's easy to miss the signal in all the numbers. Deciding whether a new ad is a winner or a dud early on is mostly guesswork.

Who it fits

Performance marketers and agencies who run paid Facebook campaigns and need a faster, more objective read on what's working.

How it works

  1. On a schedule, the system pulls fresh performance data from your Facebook ad account or a Google Sheet
  2. Raw metrics like spend, impressions, and clicks are logged to Google Sheets right away
  3. OpenAI and Google Gemini each analyze the data separately against your set benchmarks
  4. Both AI opinions are compared side by side
  5. Recommendations to scale, optimize, or stop each ad are added to your sheet
What you get

Ad performance read against your own benchmarks

You get a clear read on which Facebook ads are winning against your own benchmarks, so you know where to focus next.

What you get

A Google Sheet with raw ad metrics plus two independent AI recommendations for every creative.

What you need

A Meta Ads account, a Google account for Sheets, an OpenAI API key, and a Google Gemini API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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