Lifecycle flows, broadcast strategy and the messages that bring buyers back: abandoned cart, post-purchase, browse abandonment and more.
Merchants asking what a loyalty point should cost usually reach for an industry rule of thumb, but the honest answer is that the question cannot be settled with a loyalty number at all because no dataset here measures loyalty points, so what actually settles is which platform tier and theme foundation you build the program on.
The usual answer treats deliverability as a theme setting you can toggle, but the actual requirements live in sender authentication rules from Google, not in any Shopify theme's code, and confusing the two wastes time a store owner does not have.
Eleven real browse abandonment emails from a documented public roundup, read for patterns instead of pretty screenshots. The good ones share four moves, and almost none of them lead with a discount.
Omnisend published conversion data from 1.24 billion form displays, which means list growth advice no longer has to be folklore. Eight tactics with a measured lift, one with a measured penalty, ranked by what the data says.
It fires earlier than cart recovery, reaches a far bigger audience, and opens at 42%. The published data on browse abandonment explains both why stores skip it and why the ones that build it keep it running.
Ten real welcome emails from documented public roundups, graded against a five-part rubric: promise kept, one job, value clarity, CTA, and data capture. The grades are opinions; every email is real and sourced.
Before the rebrand, before the ad account, before the tenth app subscription: seven automations, ranked by the published revenue-per-email data, with the numbers each one should hit.
The welcome flow is the highest-earning automation most stores will ever run, and the published data is unusually specific about how to build it: what each email does, how far apart they go, and when a discount actually pays.
The window between checkout and second order is where retention is actually decided, and the published open rates there embarrass every other flow. Here is the six-email sequence I would build, position by position.
The published vendor data says texts convert around 0.1% as campaigns and 0.77% as automations. At a penny per message, that spread is the entire difference between a profit center and a subsidized hobby.
Most best-practice lists are folklore. These are the practices the published benchmark datasets actually back, ordered by how much they move recovery.
How many emails, how far apart, and what each one is allowed to say. The published data from Klaviyo and Omnisend agrees on the shape more than most marketers expect.
Strip the branding away from any strong cart recovery email and you find the same five blocks in the same order. Here is the anatomy, and the archetypes worth copying.