Case Study Built for Shoperator.ai

10 ad scripts a week became 50, same day.

A four-pass Claude pipeline for Meta ads. It ingests ad performance, then drafts, iterates, experiments and validates new creative, wired into the Meta Marketing API and Monday.com.

Client: Shoperator.ai
Sector: AI · Performance marketing
Engagement: AI pipeline build
Timeline: 2024
Stack: Claude · Meta API · Monday

Marketing team reviewing an AI creative pipeline — A creative operations team turning performance data into the next batch of ad concepts.

By the numbers

5×Scripts / week · 10 → 50

1.8→2.3xROAS

Same-dayvs. a full week

$10–20KMonthly lift

Creative was the bottleneck on ad spend.

Performance marketing runs on a steady stream of fresh, tested creative. The team was writing about ten ad scripts a week by hand, and a new batch took a full week to turn around, which capped how fast spend could scale.

A generic "AI writes your ads" toy was never the goal. The team wanted a system grounded in what was already winning in the account, one that could put the next round of winners on tap.

Four passes of Claude, one stream of winners.

We built a pipeline that pulls live performance from the Meta Marketing API, runs it through four specialized Claude passes, and drops finished scripts into Monday.com for the team, so no one starts from a blank page.

The four passes

Analyzer: reads recent ad performance and extracts what's working
Iterator: spins fresh variants off the winning angles
Experimenter: proposes net-new creative bets to test
Validator: checks each script against brand and quality guardrails before it ships

AI Creative Pipeline — the generation stage of the pipeline: Claude analyzer, insights, variant generation

What we built

Grounded in real account data.

Every script starts from the creative the account has already proven, so the output reads as the next logical bet for this brand rather than a generic draft. The team reviews and ships instead of staring at a blank page.

~6–8 wks to pay for itself

See it work

Demo: the pipeline architecture, Claude API to Meta to Monday.com

In their words

We went from ~10 scripts a week to ~50, and what used to take a full week is now same-day. ROAS moved from ~1.8x to ~2.3x, which at our spend is roughly $10–20k a month. Payback looks like 6–8 weeks.

Shoperator.ai Performance marketing team

Visit Shoperator →

Five times the output, and the line moved.

Weekly script output went from about 10 to about 50, and turnaround collapsed from a week to same-day. On the creatives they tested, ROAS climbed from ~1.8x to ~2.3x.

At their spend level, that lift is worth roughly $10–20k a month, with the build paying for itself in an estimated six to eight weeks. The team also got back the hours they used to spend on manual scripting.