Marketing Intelligence Framework
Brought marketing data from six or more platforms into a shared framework linking performance changes to commercial impact and recommended action.
6+
Platforms into one view
- Marketing Analytics
- Growth
- Reporting
Context
Each marketing platform reported its own performance, leaving the agency to reconcile results and explain the combined impact to clients.
The problem
Channel reports showed activity but did not consistently explain its value, the next action or where to allocate budget.
Analysis
- 01Commercial problems translated into measurable KPIs before a single reporting tool was opened.
- 02Data models built to read across platforms rather than beside them.
- 03Funnel drop off located and given a revenue value at every stage.
- 04Sources, landing pages, campaigns and geographies compared on definitions that actually matched.
Recommendation
Structure reporting around four questions: what changed, why it changed, what it was worth and what to do next. Keep platform detail available to support each recommendation.
Example view
Illustrative presentation of the approach. Client data remains confidential.
Cross Platform Model
Fragmented to commercial- GA4
- Search Console
- Semrush
- Ads
- CRM
- Revenue
01
Signal
02
Insight
03
Decision
04
Outcome
What changed, why it changed, what it was worth, and what to do next. Anything that answers none of those comes out of the report.
Implementation
- Cross platform data models
- Power BI and Looker Studio dashboards
- Funnel and conversion structure
- Executive recommendation format
- Reporting SOPs across the client base
Outcome
Reports now lead with commercial findings and recommendations, supported by the relevant metrics and platform detail.
What this demonstrates
- Marketing intelligence
- Commercial problem solving
- Growth analysis
- Client strategy
Next
Performance Measurement System
Independent digital agency
Let’s work on it
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