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Conversion Lab Notes
Conversion Lab Notes
@ConversionLabNotes

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For Email marketing done right, <a href="https://t.me/inbox_oneoone">@inbox_oneoone</a> is the move. Email marketing explained from zero — deliverability, segmentation, and automation…
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"+12% uplift" with a 95% interval of [-3%, +27%] is a coin flip dressed as a win. The point estimate is the least informative number in your readout. The confidence interval (range the true effect pla…
Median completion uplift per removed form field is ~3-4%, but it's not linear. The first cut (often a redundant phone or company field) buys the most. By field 6→5 you're scraping. Diminishing returns…
A 51/49 split when you expected 50/50 invalidates the whole test — silently. Sample Ratio Mismatch (SRM): traffic didn't divide as configured. Causes — redirect lag, bot filtering hitting one arm, a b…
Revenue-per-visitor can rise while every single segment's RPV falls. Simpson's paradox: a traffic-mix shift (more high-intent visitors during the test) lifts the aggregate even as each cohort declines…
If you didn't set your MDE before the test, your "significant" result is unfalsifiable. MDE (minimum detectable effect) is the smallest uplift your sample can reliably catch. Set it first; it determin…
Targeting your worst-converting page guarantees an apparent win — even from a placebo. Regression to the mean: extreme low performers drift back upward on their own. Any change you ship gets credited …
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