Automate your Ortto lifecycle audit with an AI agent

Which activities have gone quiet?

List every activity type your account knows about, then check when each one was last recorded.

Anything that stopped in the last six months is either a product change nobody told marketing about or a broken pipe.

Both matter, and both are invisible from a journey canvas that still renders in a satisfying shade of green.

The field that was populated for four months

A field gets added, a form or an integration fills it for a while, something changes, and it stops. The journeys that branch on it start taking the default path for everybody.

A companion reports fill rates per field across the whole audience with dates attached, so a field that was healthy until April is obvious rather than theoretical.

• Fill rate reported per field, with the period it was actually being populated.
• Activity types listed with the date each was last seen.
• Findings written up as a page you can take to whoever owns the product events.

How do you sanity-check a lifecycle segment?

By looking at who is in it.

A segment called “power users” containing three internal test accounts, a competitor and somebody running a script against your API will produce a confusing campaign result.

A companion samples it, opens each person’s company on the open web, and reports the composition. That is qualify inbound leads automatically applied to the audience you already have.

The reporting question that needs a browser

Ortto’s dashboards answer what happened.

The follow-up is nearly always outside the product: a pricing change you shipped, a competitor’s launch, a seasonal effect, an outage that annoyed exactly the cohort you were emailing.

A companion holds both, reading your numbers and then the outside world, and writes the combined note into whatever document your team reads. The weekly habit is generate a weekly metrics digest.

Frequently asked questions