A retail marketing team needs a report that connects acquisition activity to meaningful business events, with definitions that remain consistent between tools and meetings.
An illustrative project with a fictional business and illustrative data. Platform screens are AI-generated examples; supporting screens may show separate sample workspaces.
The scenario includes different channel names, duplicate event risks and a dashboard that mixes activity with outcomes. Before redesigning the report, the team needs to agree what each event means, where it comes from and which decisions it can support.
Create a measurement plan, validate the event implementation and build a reporting view with explicit source and period boundaries. The sample May dataset contains 12,000 sessions, 480 lead events and 192 qualified leads; it is illustrative, not a performance record.
Identify the weekly decisions the report should support: which channels need investigation, where the journey breaks and how lead quality changes.
Define sessions, lead events and qualified leads separately. Record the source system and reporting delay for each measure.
Test event triggers against successful and unsuccessful actions, including repeat interactions. Check that campaign parameters survive the relevant journey.
Reconcile a controlled sample against source records. Investigate differences before combining tools in one dashboard.
Place acquisition, enquiry volume and qualification context in a consistent reporting window. Keep channel definitions visible to the reader.
Agree a regular review of missing source values, duplicate events and unexpected channel changes. Give each data-quality issue an owner and record any definition changes before comparing periods.
Sample platform screens illustrate the tools and review process described here. Open any image for a closer look.
Connect business events to defined triggers and check that tags fire once.
Compare acquisition channels using the same date range and event definitions.
Connect channel activity, enquiry quality and spend in one reporting view.
| Review area | Acceptance condition |
|---|---|
| Event meaning | Every reported event has a documented trigger, owner and business purpose. |
| Event quality | Controlled successful actions appear once and failed actions do not produce a success event. |
| Reporting context | Date range, attribution limits and source delays remain visible in the review. |
| Reconciliation | Sample source records can be traced to the corresponding dashboard measures. |
The intended result is a report the team can interpret consistently, with a repeatable way to investigate discrepancies. The sample figures illustrate the reporting design and do not imply an improvement in business performance.
Tell us where you are, what needs to change, and what success would look like for your business.
