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- Web Analytics Dashboard
- Implementation
How a Web Analytics Dashboard rollout works
Start with one measured property and a complete review cycle.
Set the source
Identify the organization, property owner, source record identity and consent basis.
Prepare measurement
Assign an experiment definition, review mappings and agree on the reporting window.
Collect facts
Bring in consented session observations and inspect the operation trail.
Review and compare
Record a decision for the source revision, compare cohorts and verify the written outcome fields.
Release and follow up
Review the property result, publish the accepted analysis and assign any remaining corrective work.
What the customer provides
Bring a named owner and reviewer, one web source with known consent handling, its source identifiers, an experiment definition and a small set of representative sessions. Include a normal case, a duplicate event and an exception the team expects to investigate. Decide which people may make revision decisions and which reporting periods matter.
Changing it afterwards
When a property or definition changes, keep the earlier revision and review context understandable. Update source mappings with an effective date. Rehearse a new collection and comparison with a known source before using its result in a broader report. Check follow-up ownership when teams change.
Set up Web Analytics Dashboard your way.
Start free, then use Proto to change fields, steps and approvals before your team goes live.