Email & SMS Flow Revenue Share: A Dated Snapshot

What this page is, and isn't

A dated snapshot of what two named ESP/SMS-platform benchmark reports show for flow (automated) versus campaign (one-time broadcast) performance, current as of their respective 2026 publication dates. This feeds directly into Step 2 of the Benchmark Library framework — use it as a sanity-check reference, not a target, and re-verify against the live source before making a real budget or resourcing decision, since email/SMS platform benchmarks are refreshed at least annually and can shift with platform-wide deliverability or algorithm changes.

An important limitation up front: both sources below are self-reported platform data (Klaviyo reporting on brands using Klaviyo; Omnisend on brands using Omnisend). Platform-reported benchmarks reflect the sending behavior and customer base of that platform's users, not a neutral cross-platform sample — a real limitation worth carrying into how much weight you put on the exact figures, even though both are more transparent about methodology (stated sample sizes, stated date ranges) than most sources of this kind.

The headline finding: flows generate outsized revenue from a small share of sends

Klaviyo's 2026 report (published January 23, 2026) states that flows generate nearly 41% of total email revenue from just 5.3% of sends, while campaigns account for the remaining 94.7% of send volume. Put differently: automated flows are roughly 18 times more revenue-efficient per send (revenue per recipient) than one-time campaigns, according to this source. The same report found flow click rates running over 3x higher than campaign click rates (5.58% vs. 1.69%), and flow-driven emails converting to a placed order at roughly 13x the rate of campaign emails.

Klaviyo's report also breaks out new-customer contribution: nearly 48% of flow-driven revenue comes from new buyers, versus about 16% for campaigns — suggesting flows (particularly welcome series) are disproportionately doing new-customer conversion work, not just retention.

Email and SMS automation vs. campaign performance (Omnisend, June 2026)

Omnisend's June 2026 report, based on a stated sample of 246M+ SMS campaign sends and 20M+ SMS automation sends across 27,000+ brands in 2025, gives a directly comparable automation-vs-campaign breakdown for both channels:

The conversion-rate gap is large in both channels — Omnisend reports automations converting at roughly 6.5x the SMS campaign rate and roughly 18.6x the email campaign rate. Notably, automation AOV is lower than campaign AOV in the SMS data ($95.28 vs. $125.06) — Omnisend's own explanation is that automations often recover or follow up on lower-value purchases (an abandoned cart of modest size), while campaigns are more likely to be built around a seasonal or promotional push that draws larger baskets. That's a useful reminder that "automations outperform campaigns" is true on rate metrics but not automatically true on every metric — check AOV separately before concluding automations are unambiguously better everywhere.

Two sources, one consistent direction, different exact multiples

Klaviyo's ~18x revenue-per-recipient gap and Omnisend's ~18.6x email conversion-rate gap land in a similar range by coincidence of these particular metrics, but they are measuring different things (revenue-per-recipient vs. conversion-rate), from different platforms, different sample construction, and different time windows — treat the direction (automated flows meaningfully outperform one-time campaigns on a per-send basis) as the well-corroborated finding, and any specific multiple as platform- and period-specific rather than a fixed law.

How to use this

1. If you don't yet have a welcome series, abandoned-cart flow, and post-purchase flow live, both sources here support that these are very likely the highest-return-per-effort email/SMS work available before investing further in campaign content — see Email Marketing Fundamentals and SMS Marketing for Ecommerce for the setup mechanics.
2. Don't drop campaign sending because flows look more efficient per-send — campaigns in both datasets still carry the majority of total revenue in absolute terms (Klaviyo: ~59% of email revenue from ~94.7% of sends), and campaigns reach segments a fixed flow trigger never will.
3. Track your own flow vs. campaign split (revenue share, conversion rate, AOV) directly in your ESP/SMS platform rather than assuming these exact multiples apply to your list size, category, and price point.
4. Treat AOV differences (automations lower AOV in the SMS data above) as a reason to look at more than one metric before deciding where to invest further effort.

FAQ

Does "flows generate 41% of revenue from 5.3% of sends" mean campaigns are a waste of effort? No — campaigns still generate the majority of total email revenue in Klaviyo's own data (roughly 59%), just less efficiently per individual send. The finding argues for making sure core flows exist and are well-built, not for abandoning campaign sending.

Why do SMS automations show a lower average order value than SMS campaigns? Omnisend's stated explanation is that automations frequently trigger on lower-value recovery moments (an abandoned cart, a browse-abandonment nudge), while campaigns are more often built around broader promotions or seasonal pushes that draw larger baskets — a reminder to check more than one metric before ranking automations as strictly "better."

How current are these figures likely to stay? Both reports are refreshed roughly annually (Klaviyo's is dated January 2026; Omnisend's June 2026) and reflect fast-moving platform and consumer-behavior dynamics — treat this page's "last verified" date as an expiration warning, and check for a newer edition of either report if you're making a resourcing decision more than a couple of quarters after that date.