AI Ad Management

AI PPC Management Built on Real Infrastructure

Google Ads management powered by a Python MCC architecture that monitors 20+ client accounts from a single interface. Daily budget pacing, anomaly detection with Slack and email alerts, and GAQL-powered reporting - all built on a dry-run-first architecture so nothing runs without review.

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The Problem

Most PPC agencies assign a junior analyst to check your account a few times a week. By the time they spot a budget overrun or a tanking campaign, the damage is done. You get a monthly report explaining what went wrong - after the money is already spent. There is no system watching spend in real time, no automated alerts, and no safe way to preview changes before they hit live campaigns.

Our Solution

We built a Python-based MCC system that manages 20+ Google Ads accounts from a single interface. It runs daily budget monitoring with spend pacing analysis, catches performance anomalies in real time, and pushes multi-channel alerts to Slack and email the moment something shifts. Every operation runs in dry-run mode by default - you preview exactly what will change before anything touches a live campaign. GAQL-powered reporting pulls precise data directly from the Google Ads API, not filtered through a third-party dashboard.

How It Works

01

MCC Integration and Account Audit

We connect your Google Ads accounts to our MCC architecture and run a full audit - spend patterns, campaign structure, conversion paths, and wasted budget. This gives us a baseline for every metric the system will monitor.

02

Monitoring and Alert Configuration

We deploy daily budget pacing, anomaly detection, and multi-channel alerts. Slack and email notifications fire the moment spend deviates from targets or performance metrics shift beyond thresholds you define.

03

GAQL Reporting and Dry-Run Operations

GAQL-powered reporting goes live, pulling campaign data directly from the Google Ads API. All optimization operations run in dry-run mode first - you see exactly what will change before we apply it to live campaigns.

04

Ongoing Optimization and Scaling

Our system continuously monitors all accounts across the MCC while our strategist acts on the data - adjusting bids, reallocating budget, and scaling what converts. You get real-time visibility, not a monthly recap.

See It In Action

Google Ads MCC Automation Tool

A Python CLI tool for managing Google Ads campaigns across 20+ client accounts - built on MCC architecture with GAQL-powered reporting, daily spend pacing analysis, anomaly detection, and dry-run-first operations for safe campaign management.

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Frequently Asked Questions

How is this different from a traditional PPC agency?+
Traditional agencies rely on manual checks and monthly reports. Our system runs daily budget pacing across 20+ accounts through an MCC architecture, detects anomalies in real time, and sends Slack and email alerts the moment something shifts. Every change runs in dry-run mode first so nothing hits a live campaign without review. You get a system watching your spend around the clock - not an analyst checking in a few times a week.
What is MCC architecture and why does it matter?+
MCC (My Client Center) is Google's framework for managing multiple Ads accounts from a single interface. Our Python-based MCC system connects all your accounts into one monitoring layer - so budget pacing, anomaly detection, and GAQL reporting run across every account simultaneously instead of checking them one at a time.
What does dry-run-first mean?+
Every optimization operation runs in dry-run mode by default. That means you see a preview of exactly what will change - bid adjustments, budget reallocations, campaign pauses - before anything touches a live campaign. This prevents accidental changes and gives you full control over what gets applied.
How does anomaly detection work?+
The system monitors key metrics - CPC, conversion rates, ROAS, and daily spend pacing - across all accounts in the MCC. When performance shifts beyond defined thresholds, it triggers multi-channel alerts through Slack and email so your team can act immediately instead of discovering problems days later.
What does ai ppc management cost?+
Projects typically start at $2,500/month, depending on scope and complexity. We scope every project individually after a free strategy call.

Ready to Get Started?

Let's discuss how we can build the right solution for your business.

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