Creative Intelligence Case Study | Marketing Automation

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Ad Creative Intelligence & Fatigue Detection

Detect creative fatigue, identify winning themes, and optimize ad performance across platforms.

This Marketing AI automation case study explores Ad Creative Intelligence & Fatigue Detection. Tags: Marketing, AI Implementation, Reporting, Integration, OpenAI, Make.com, Retool, AI Automation, Workflow Automation.

+27%

Performance Improvement

Shortened

Testing Cycles

Significantly Reduced

Wasteful Spend

Overview

A performance marketing team struggled with creative fatigue, poor insights on what themes worked, and a lack of consolidated creative performance data. Performance improved by 27%+ with shortened testing cycles.

Challenges

1

Thousands of creatives across Meta, TikTok, YouTube

2

No unified metrics across platforms

3

Creative fatigue detection manual and inconsistent

4

No system to identify winning hooks/themes

5

Agencies delivering inconsistent reporting

What We Delivered

Creative data ingestion from all ad platform APIs

Indexed text, visuals, hooks, and audience segments

Creative intelligence engine identifying outperforming themes

Fatigue detection based on decay curves

Similarity clusters of cannibalized creatives

Creative wall UI with auto-tagging and trend charts

Tech Stack

Creative data ingestion via APIs, Indexed text/visuals/hooks, Engagement → conversion correlation, Fatigue detection, Next.js UI

Tags

MarketingAI ImplementationReportingIntegrationOpenAIMake.comRetoolAI AutomationWorkflow Automation

Results

+27%

Performance Improvement

Shortened

Testing Cycles

Significantly Reduced

Wasteful Spend

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