Use case

Catch the slip while you can still save it.

Every customer that leaves was telling you for weeks: the replies that got shorter, the champion who went quiet, the usage that dipped and never came back. Merrily reads those signals and warns you inside the save window.

Renewal brief
Sageflow47

Renews in 23 days

  • Champion went quiet
  • Usage down 18%
The problem

Post-mortems are not a retention strategy.

By the time most tools tell you an account is unhappy, it is a write-up, not a save.

The signals sit unread

The evidence lives in email, Slack, meetings, tickets, and product data. No one person can watch all of it, so effectively no one does.

Scores that confirm, not warn

A health score that turns red the week of the churn notice is a scoreboard. You needed a smoke alarm.

Saves depend on luck

The accounts that get rescued are the ones someone happened to notice. The quiet ones leave quietly.

With Merrily

From post-mortem to save.

Merrily watches every account for the patterns that precede churn.

The relationship cools

Shorter replies, slipping meetings, a champion gone quiet. Merrily reads the conversations and flags the cooling while it is still a conversation.

The product goes unused

A usage dip that persists surfaces with the renewal date and ARR attached, so the save gets prioritized by what is at stake.

The account turns

Rising frustration across tickets and threads becomes a plain-language brief: what changed, who is affected, what to do next.

See it on your accounts.

Connect the stack you already run and watch the first signals surface. No rollout, no ops team, no six-month implementation.