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.
Flow-level metrics
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.
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.
