Seven steps to an email program that actually converts

Sunset inactives older than 180 days, fix the welcome opt-in, and segment by source. A 40% smaller list with healthy engagement out-delivers a bloated one every time.

A B2B SaaS client we worked with had 67k subscribers and a 3.2% engagement rate that finance kept asking about. We sunset 31k inactive contacts, segmented the rest by acquisition source, and watched engagement triple in the next send. The list size shrank by half; revenue per send doubled. The optics inside the org were briefly painful — explaining to leadership why the list got smaller — but the math was unambiguous.

Welcome, browse/abandoned cart, and post-purchase. These three commonly produce 60–80% of email revenue and rarely need updating once they're live.

Across roughly forty Klaviyo accounts we've audited, welcome + abandoned cart + post-purchase consistently generate 60-80% of total email revenue, on a fraction of the send volume. Most brands fixate on the weekly newsletter and underinvest in the flows. Flip the priority for one quarter and the entire program economics improve.

Last click, last purchase, average order value, category affinity. Behavior predicts the next action; demographics rarely do.

Demographic segmentation (age, location, industry) feels rigorous but rarely predicts next-action behavior. Behavioral segmentation — last click, last purchase category, average session depth — predicts almost everything. A 'browsed athletic gear in the last 14 days' segment converts roughly 5x better than a 'male, 25-34' segment for the exact same product offer.

Hold the body constant for a quarter and run a steady cadence of subject-line and preview-text tests. Compounding learning beats one-off creative swings.

Whole-email A/B tests have too many variables and produce mostly noise. Holding the body constant for a quarter while testing subject-line and preview-text variations produces clean, compounding learning. After 12 weeks of disciplined subject-line testing, most accounts see open rates lift 4-8 percentage points without changing the underlying creative once.

First 90 characters and one image. If the email needs to be opened in full to make sense, most of the list will never see the point.

Most email opens happen in a preview pane that shows the sender, subject, preview text, and the first image. If those four elements don't communicate the value of the email by themselves, the open is wasted. We've watched well-designed emails underperform because the preview text defaulted to 'View this email in your browser' — a 90-character missed opportunity, repeated weekly.

Cut frequency by a third and quality of every send up by half. Inbox fatigue costs more revenue than missed sends.

An ecommerce client we worked with was sending six emails a week and watching unsubscribes climb every quarter. We cut to three high-effort emails a week. Revenue per send went up 41%, unsubscribes dropped, and total revenue from email actually grew — fewer but better outperformed more and worse. The math of email is closer to publishing than to broadcasting.

Opens are increasingly unreliable. RPR keeps the program honest and aligned with finance.

Apple Mail Privacy Protection broke open-rate tracking for a significant portion of every list. Building a strategy on a metric that's increasingly inflated and unreliable is a recipe for slow decline. Revenue per recipient is harder to game, aligns with finance, and survives every future iOS update. Switch the dashboard once and never look back.