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    Conversion goals

    From the Tailor AI team · Reviewed

    Answer

    Conversion goals define what success means for a test, like trial starts, signups, activation, pipeline, or revenue.

    If two people define ‘conversion’ differently, your results become politics. Conversion goals force clarity and makes experiment readouts comparable.

    What I'd do next

    1. Choose one primary goal per test.
    2. Add a secondary diagnostic goal (optional), like CTA clicks.
    3. Confirm the event definition is stable before running tests.

    Caveats

    If your event fires inconsistently (SPA, consent, duplicate tags), you’ll measure tracking, not lift.

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