Campaign Analytics
What the campaign actually returned.
Workflow
Step 1Active
ObjectiveDefine what to measure.
InputCampaign, goals
OutputMetric set
Key activities
Define metrics tied to the objective
Decision points
What proves success?
Tools: Metrics frameworkRoles: Marketing
Success: Metrics defined
Quality gate: Go: right metrics. Loop back: vanity.
Why it matters
- Analytics is what turns marketing spend into a decision, not a hope. It answers: what worked, and what gets more budget?
Best practices
- Track conversion and ROI, not just impressions.
- Report on a cadence while the campaign runs.
- Recommend, don't just report.
- Feed learnings into the next campaign.
Common mistakes
- Vanity metrics that make it look good.
- Analysis only after the budget is gone.
- Reports nobody acts on.
Key questions
- What did this campaign return?
- What gets more budget next quarter?
Agents that drive this
AttributionCampaign Builder
Tools we use · alternates in [ ]
Google Analytics[ Plausible, Mixpanel ]Metabase[ Looker Studio, Power BI, Grafana ]