Klaviyo can tell you what your email did. It cannot tell you what your email is worth against your paid spend, your organic demand and your margin. Skail reads all of it as one picture.
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Flow revenue is the machine that runs whether or not you send anything this week. Campaign revenue is the work you did. Collapsing them into one email number hides the only question worth asking, which is how much of your email revenue would still arrive if you stopped sending.
A flow that has been live for months and earning nothing is invisible in a dashboard that only shows totals, because the totals still look fine. Skail judges each flow against its own history rather than against a benchmark, so a flow that used to work and stopped is a finding, not a rounding error.
Skail reads time between orders and repeat rate from Shopify, not from your email tool. That means the gap between when customers actually reorder and when your flows actually reach them is measurable, and it is usually where retention revenue is sitting.
The useful comparison is never email against email. It is what a dollar of attention is worth in email versus in paid versus in organic, on your margin. That comparison needs every platform in one place, which is the whole reason Skail reads across them.
A cross-sell flow pairing two complementary products had been switched on for months and was earning almost nothing. Total email revenue looked healthy the entire time, because campaigns were carrying it.
Healthy totals hide dead parts. Anything judged only against a benchmark or an aggregate will miss the thing that used to work and quietly stopped.
A real finding on a store running Skail. Stores are never named and no figure that identifies one is published.
Skail connects read-only. It can look and never touch: no orders placed, no prices changed, no budgets adjusted, no emails sent. Every permission it asks for is listed in full.
30 minutes with Dan, the founder. You do not need to connect anything or share any data to see what Skail does.