PixelPerfect Agency — Performance marketing agency, 30 clients
AI deployment blueprint for Performance marketing agency, 30 clients. Automates ad performance using Google Ads, Meta, Slack, Claude.
AI Readiness Score
Rich advertising data available, structured campaign metrics
Agency team familiar with APIs and integrations, existing Claude usage
Budget range supports comprehensive automation solution
Strong API ecosystem with Google Ads and Meta, clear repetitive workflows
3-6 month timeline allows for phased rollout across platforms
Multiple ad platforms require different auth methods and data formats
How This System Works
Architecture
Event-driven system with scheduled reporting agents pulling data from Google Ads and Meta APIs, processing through Claude for insights, and delivering actionable reports via Slack
Data Flow
Campaign data flows from ad platforms into Claude for analysis, generating formatted reports and alerts that are automatically distributed to appropriate team channels in Slack
Implementation Phases
Establish API connections and basic monitoring
Implement comprehensive weekly reporting
Add creative performance optimization
Prerequisites
- -Google Ads API developer access
- -Meta Marketing API approval
- -Slack app permissions
Assumptions
- -Consistent campaign naming conventions
- -Stable API access
- -Team adoption of Slack-based workflows
Recommended Agents (3)
How It Works
- 1Pull campaign data from Google Ads API
Retrieve previous week's performance metrics for all active campaigns
Google Ads API - 2Pull campaign data from Meta Marketing API
Gather Facebook and Instagram ad performance data
Meta Marketing API - 3Analyze performance trends and generate insights
Compare week-over-week performance, identify top/bottom performers
Claude - 4Create formatted reports per client
Generate client-specific reports with branded formatting
Claude - 5Send reports to designated Slack channels
Post reports to client-specific channels with @mentions for account managers
Slack API
Data Flow
Inputs
- Google Ads API — Campaign performance metrics, spend, conversions(JSON)
- Meta Marketing API — Ad set and campaign performance data(JSON)
Outputs
- Slack — Formatted weekly performance reports(Markdown)
- Internal Database — Historical performance tracking data(JSON)
Prerequisites
- -Google Ads API access
- -Meta Marketing API access
- -Slack workspace integration
Error Handling
Retry with exponential backoff
Alert team and generate partial report
Email backup report to account managers
Integrations
| Source | Target | Data Flow | Method | Complexity |
|---|---|---|---|---|
| Google Ads API | Claude Processing | Campaign metrics → Analysis | api | moderate |
| Meta Marketing API | Claude Processing | Ad performance → Analysis | api | moderate |
| Claude Analysis | Slack | Reports → Notifications | webhook | low |
Schedule
0 7 * * 10 9,13,17 * * 1-50 10 * * *Recommended Models
| Task | Recommended | Alternatives | Est. Cost | Why |
|---|---|---|---|---|
| Report Generation | Claude Sonnet 3.5 | GPT-4 | $50-80/month | Strong analytical capabilities for marketing data interpretation |
| Budget Analysis | Claude Haiku | GPT-3.5 | $20-30/month | Fast processing for frequent budget checks, cost-effective |
| Creative Analysis | Claude Sonnet 3.5 | GPT-4 | $60-90/month | Complex pattern recognition for creative performance trends |
Impact
What Changes
Quality Gains
- ✓Consistent weekly reporting format across all clients
- ✓Real-time budget alerts prevent overspend
- ✓Proactive creative optimization improves campaign performance
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What's next?
This blueprint is a starting point. Fork it, remix it, or build your own.