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.

1.0M+

Processes keyword rows and surfaces inefficiencies (improving performance by 10–25%)

Scale

Instantly catches critical issues at scale that human operators miss.

Unity

Consolidates reporting across Meta, Google, TikTok, and others into one dashboard

Multi-Platform Data Mapping

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.

Your Dashboard Shows Metrics.
Ours Shows What's Wrong.

We didn't just connect an API to ChatGPT. We built a deterministic AI engine — 300+ pages of engineering specs, 15 years of elite performance marketing expertise baked into every audit. It analyzes your campaigns the way no human team can — and the way no generic AI tool does.

60 seconds. What used to take 30 hours across strategists, analysts, and media buyers — and still had human error baked in at that data volume.

While your current agency was building that report manually, your campaigns were running. Burning budget. Every day.

That's the gap we closed.

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2,500,000+ data rows processed — 6 months of microscopic campaign data, down to individual search terms and city-level conversion drops

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350,000+ data points evaluated — 60+ platform metrics cross-referenced against temporal shifts, conversion lags, and audience signals

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1.5 billion+ algorithmic permutations — different logic for tROAS ecommerce vs. tCPA lead gen, mathematically distinguishing overbidding from creative fatigue

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5,000+ dynamic diagnostic labels — surgical UI markers showing exactly where you lose money, not a wall of text

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75 isolated AI pipelines per audit — zero hallucinations, because the math is solved before AI reasons on top of it

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Zero-hallucination architecture — strict Python engine prepares the data matrix first; LLM only sees pre-calculated, structured inputs

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 Node.js Logic.

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.