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Who's leaning in — and who's dead weight. Scored live from real opens & clicks on the 44-Day Course emails.
🔥 Hot = clicked a coaching link or opened 5+ emails (pitch these hard).
🟡 Warm = opening but not clicking yet.
🪦 Cold = sent 7+ emails with none opened in a row (safe to cut to protect deliverability).
Score = 1 per open + 5 per click.
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| # | Segment | Name | Opens | Clicks | Score | Miss streak | Last open | |
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| # | Contact | Opted in via | Source | Added |
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A/B test your sales page. Variant B is a second version you edit visually (open the editor and flip the 🅱 Variant switch). While a test runs, visitors are split 50/50 (sticky per person) and we compare conversions — clicks on the “Join Now” plan buttons that go to the order form. Purchase attribution is coming next; for now this measures intent-to-buy.
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44-Day Course — Transformation photos. A second live test, on the opt-in page. 🅱 Variant shows 6 before/after member photos (3 men, 3 women) above the final sign-up; 🅰 Control doesn't. Visitors are split 50/50 (sticky per person) and we compare the opt-in rate — who actually hands over their email.
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Which ads bring opt-ins? Put a UTM-tagged link on each ad (I generate them for you below) and this table fills in automatically — visitors, opt-ins, and opt-in rate per ad & campaign. The best performers float to the top.
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Your ad economics. For each campaign, type in your ad spend and how many people became paying customers (+ the revenue). Opt-ins are pulled in automatically from your UTM tracking, and I work out cost per email, cost per customer, and return on ad spend (ROAS). Numbers save as you type.
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