Why Campaign Reporting Can Be Misleading
Two dashboards, two different pipeline numbers, both technically correct. How attribution choices and sync timing distort campaign results.
Not yet published · 6 min read · Applies to: Cross-Platform
Written by
- Godwin Apegba
Share on:
Scenario (hypothetical)
Marketing reports campaign-influenced pipeline from the automation platform. Finance reports from CRM. The numbers differ, and trust in both drops.
Common causes
- Different attribution models (first touch, last touch, multi-touch).
- Campaign membership created late, after opportunities already exist.
- Different definitions of when an opportunity counts.
Safeguards
Publish a single measurement definition, choose one reporting system of record, and annotate every dashboard with the model it uses.
Get the next insight in your inbox.
Prefer to talk it through?
Book a 30 or 60 minute consultation on MarTech, automation or AI workflows.
Newsletter
Get the next insight in your inbox.
Practical insights on marketing automation, AI, enterprise architecture, and technology strategy.
Related resources
MarTech Failure Lab
A lead is ‘Qualified’ in one system and ‘Nurture’ in the other. Sales calls the wrong people and marketing emails the wrong ones.
Case Scenario · 6 min read · Demo draft
MarTech Failure Lab
Duplicates look like a hygiene issue. In practice they split engagement history, break scoring and can bypass consent preferences.
Case Scenario · 5 min read · Demo draft
MarTech Failure Lab
An opt-out recorded in one system never reaches another. This proposed experiment outlines how to test consent propagation end to end.
Case Scenario · 6 min read · Demo draft
Comments