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Every automation reports its own performance. Open an automation and switch to its analytics view, or compare all automations side by side under Automations → Analytics.

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Flow-level metrics

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Per-step performance

Each email step shows its own sends, opens, and clicks — so you can see exactly where a sequence loses people. The usual pattern: email 1 performs strongly and each follow-up tapers. What you’re looking for is a cliff:
  • Sharp drop in opens at one email → its subject line needs work, or the preceding delay is too long.
  • Good opens but no clicks → the content or offer isn’t landing.
  • Most contacts stuck at a Binary split going one way → your condition may not be checking what you think.

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Judging a flow honestly

  • Compare revenue per entry, not just totals — a flow with fewer entries can still be your most efficient.
  • Give changes a full cycle before judging — a 3-email, 4-day flow needs at least a couple of weeks of data.
  • Beware of celebrating opens. The goal is conversions; a flow with modest opens and strong coupon redemptions is winning.
Change one thing at a time — a subject line, a delay, an offer — and note when you changed it. With multiple simultaneous edits you’ll never know what worked.
For how attribution windows and models are configured, see your Settings → Attribution preferences — the same rules apply to campaigns and automations.