Meta Ads Creative & Reporting Automation

Overview

Paid social eats time in two places: making enough creative to test, and making sense of what's working. Through Agenture I built Meta ads automation that handled both — generating on-brand creative variants and turning raw ad data into a clear read on performance — so smaller advertisers could run like a much bigger team.

The problem

Creative is the bottleneck in paid social: you need a steady stream of variants to test, and producing them by hand is slow and expensive. At the same time, the data side is a mess — performance lives across the ad manager and spreadsheets, and the average small business never turns it into a decision. So budget gets spent without a tight loop between what ran and what worked.

What I built

• Competitor ad intelligence — pulled live competitor ads from the Meta Ad Library and analysed the messaging angles and formats that were running, as input to creative.
• AI creative generation — generated on-brand ad creative variants (copy and visuals) from a product/offer brief, ready to test, with a prohibited-content check before anything shipped.
• Structured testing input — organised variants into a clear testing structure rather than a pile of one-offs.
• Plain-English reporting — automated a reporting layer that pulled spend, results, and creative performance into a readable summary on a schedule.

Impact

• Removed the creative bottleneck — a steady supply of on-brand variants to test instead of waiting on production.
• Turned ad data into decisions with reporting the client actually read.
• Let small advertisers run a disciplined test-and-learn loop without an in-house performance team.