Feedback & learning loop

  • Structured outcomes (winner, control, no conclusion) are logged with the full hypothesis/test context.

  • Account-level intelligence identifies repeatable patterns (e.g., mobile CTA wording, social proof blocks) and reduces redundant tests.

  • Industry-level synthesis (anonymized) tunes our defaults and recommendations for all customers.

Why this matters

  • Speed: Iterative hypothesis creation + dynamic allocation cut the time to trustworthy conclusions.

  • Clarity: You get statistical rigor with plain-English statuses and alerts.

  • Scale: Shared intelligence means your 50th test is easier—and more likely to succeed—than your first.

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