AI Tool That Helps Us Manage All Media Accounts
We developed an internal AI tool that has completely changed how we manage ad accounts. Across Meta and Google, our team used to spend 3–4 hours a day monitoring campaigns. Now it takes about 15 minutes.
Processes keyword rows and surfaces inefficiencies (improving performance by 10–25%)
Instantly catches critical issues at scale that human operators miss.
Consolidates reporting across Meta, Google, TikTok, and others into one dashboard
ALL PERFORMANCE MARKETING DATA IS GRANULAR AND INTEGRATED INTO A SINGLE PLATFORM
Get a complete bird's-eye view of your entire marketing funnel. We map deep, granular metrics from multiple platforms—from raw impressions to final conversions—layering semantic signals, creatives, and geography into a unified intelligence structure.
How It Works
Data Streaming
Data Collection via Authorized Advertising Platform APIs and the Affect DataMind Web App.
Google Cloud- Data is pulled directly from Marketing and Ads APIs — no UI scraping.
- Data is stored in a highly secure cloud environment.
Data Processing
Data Processing Based on a Proprietary Method Fully Controlled by Deterministic Python Logic.
Python- Initial data processing and signal tagging are fully deterministic, with no reliance on probabilistic models.
- Signals and tags used for insights are protected from hallucinations.
Data Implementation
Flexible Use of Processed Data Within a Strict Tag-Based Framework: protected from hallucinations and mistakes.
- The AI agent operates strictly within predefined tags and signals — not on probabilistic assumptions.
- At the same time, it remains flexible in analyzing metrics, time periods, and assets — focusing on the factors that most influence overall trends, or expanding the analysis when no clear primary drivers are identified.
