The Campaign Analyst
Plain-language campaign reports without the spreadsheet archaeology
How It Works
The Campaign Analyst connects to all active marketing channels, pulls performance data on a defined schedule, and generates a synthesized performance report in plain language. Rather than dumping raw metrics, the system interprets what the data means: which campaigns are working, which are underperforming relative to historical benchmarks, what to adjust, and what to pause. A marketing lead reviews and acts on the recommendations.
Step-by-Step Flow
Connect your active marketing channels: ads, email, social, and content
Define your KPIs and performance benchmarks per channel and campaign type
System pulls performance data weekly from all connected sources
AI synthesizes raw data into a plain-language brief with specific recommendations
Marketing lead reviews and approves or adjusts recommendations
Actions logged, benchmarks updated, next cycle begins
Best For
- Marketing teams spending 4+ hours per week manually compiling performance reports
- Small marketing teams managing multiple channels without a dedicated analyst
- Companies where marketing data exists in silos across platforms
This is customized for your business.
Every node, tool, and logic path shown here gets adapted to your team structure, your CRM, and your existing workflows. What you see is the proven pattern. What we build together is built specifically for you.
Implementation Notes
Data sources connect via API: Google Analytics 4 and Google Ads, Meta Ads Manager, LinkedIn Campaign Manager, HubSpot or Mailchimp for email, and Buffer or native platform APIs for social posting performance. Data is pulled on a weekly cadence with a configurable pull window (default: prior 7-day period compared to the prior 28-day rolling average). The synthesis layer applies three types of analysis: anomaly detection to flag metrics that deviate more than 20 percent from rolling average, trend analysis to identify campaigns in consistent improvement or decline over 4 or more weeks, and benchmark comparison against your historical performance by channel and campaign type. Output is a structured brief with sections: headline summary (2 to 3 sentences on the week's performance), by-channel breakdown with specific recommendations, and a ranked action list (pause, increase budget, revise creative, or investigate further). The brief delivers in Google Docs, Notion, or Slack. Total data pull and synthesis typically completes in under 4 minutes per run. Prerequisites: API access to at least two active marketing channels and at least 8 weeks of historical performance data.