What moved revenue, and why

Net subscriber growth, where it comes from, and list fatigue.

• Net subscriber growth by source
• The fatigue that quietly shrinks a list

Repeat purchase, days to a first order, and what each discount brings back.

• Repeat purchase and days to a first order
• Cohorts split by the discount on the first order

Sending health and domain authentication, watched every day.

• Sending health, every day
• Domain authentication checks

Revenue and volume of every flow, and which ones earn their sends.

• Revenue and volume for every flow over time
• Flows grouped by lifecycle stage

Build the Shopify landing pages your email and SMS traffic lands on.

• Landing pages for the traffic your campaigns send
• Built for Shopify stores

What converters really bought, next to Klaviyo's attribution and a strict one-hour window.

• What converters really bought, and where their orders came from
• True revenue next to Klaviyo's attribution
• A strict one-hour window, campaign by campaign

Every campaign, flow and form test with per-variant results, in one log.

• Campaign, flow and signup form tests found automatically
• Per-variant results
• Record your site tests in the same log

When revenue dips, the campaigns, flows or channels behind it.

• Any period vs the one before and vs last year
• The flows and campaigns that moved most
• One-off orders flagged, not read as a trend

Real customers' email timelines: pileups, overlapping flows, sends after opt-out.

• Four signup cohorts, real timelines
• Same-day pileups and overlapping flows
• Sends after an unsubscribe, late welcomes

Public links to sent emails, in folders, with a performance review.

• Works on drafts, before anything sends
• Expiring, password or members-only links
• Folders with revenue, orders, AOV and RPR