Understand what changed
after the decision.
Follow approved actions through to measurable outcomes, compare the result with the agreed baseline and keep attribution language honest about what the evidence can support.
A connected measurement record that explains the baseline, outcome, timeframe and degree of confidence.
Illustrative interface - actual results depend on your store data
A result is useful when
you can understand what it means.
Performance connects the approved action to the metric, baseline and timeframe chosen before launch. It distinguishes observed association from claims the evidence cannot prove.
Success is defined before launch.
Timeframe and attribution stay visible.
The learning informs future decisions.
Set the intended outcome first
Keep the target metric, baseline and measurement window attached to the action before it goes live.
DefinedFollow what actually changed
Compare the measured result with the agreed starting point and operating context.
MeasuredUse language the evidence supports
Distinguish influenced revenue, observed association and experimental lift rather than collapsing them into one claim.
HonestStore the meaning of the result
Keep the outcome and explanation available to improve future recommendations and experiments.
RetainedDefine success before launch.
Explain the result after it.
Keep the reason for the action, its intended outcome and the measured result together so learning survives beyond a standalone report.
- 01IntentDefine what success means
Choose the metric, baseline and timeframe.
- 02ActionApprove your store change
Keep the decision connected to its intended outcome.
- 03ObserveMeasure the result
Collect the outcome in its operating context.
- 04ExplainInterpret carefully
Use the attribution language the evidence supports.
- 05LearnRetain the conclusion
Carry the useful context into future guidance.
Influenced revenue is not
the same as incremental uplift.
Liva 7 uses careful language around attribution and uncertainty. Measured association, influenced revenue and experimental lift should remain distinct so confidence is earned rather than implied.
Revenue touched by an experience is not automatically revenue caused by it.
The result is understood against an agreed starting point and timeframe.
The system should show where the evidence is strong and where it is limited.
Turn every approved action into evidence your store can use again.
Measure the outcome and carry the learning into the next decision.