Key takeaways
- A dashboard exists to drive specific decisions.
- List the intended decisions and the required data points.
- Avoid a single profitability metric built on incomplete data without displaying calculation assumptions.
A dashboard exists to drive specific decisions. Charts become misleading if data sources do not share the same timeframe, conversion definition, or attribution model.
The Approach to Follow
List the intended decisions and the necessary data points. Document definitions, update frequencies, and limitations. Keep ad spend, attributed revenue, and calculated margins separate. Set up validation checks for missing data or source changes.
Implementation Example
Illustrative example to adapt, without claimed client results: A dashboard connects campaign, creative asset, and landing page, then displays spend alongside incoming inquiries. Metrics from multiple ad platforms are not summed up as if they represented distinct sales. Discrepancies remain visible.
The Mistake to Avoid
Avoid relying on a single profitability metric built from incomplete data without making calculation assumptions transparent.
Scoping a Project with LIME Dev
LIME Dev delivers websites, landing pages, web applications, and custom integrations. An actionable request outlines target users, the core action, existing tools, and technical constraints. Scope, budget, and timeline are confirmed before moving into active development.
- How to Measure UGC Campaign Performance — Lime UGC companion guide.
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