Marketing Automation

Viewpoint: email automation should react to silence as well as actions, with inactivity and seat-use triggers

Developing

Practitioner opinion with illustrative numbers only; the author advises basing thresholds on your own churn patterns.

A person texting on a phone
Photo: Whatsapp texting by Helar Lukats, CC BY-SA 4.0, via Wikimedia Commons

In 60 seconds

  • Most email platforms trigger on actions, so teams must define "normal" behaviour to detect silence.
  • Illustrative triggers: no login for 7, 14 or 30 days, or an email three days after a skipped setup step.
  • Seat utilisation example: 10 of 10 seats used signals expansion readiness, while 2 of 10 signals churn risk.
  • Send priority should be transactional first, then triggered, then promotional.

Impact Layer

What changed
A practitioner lays out a pattern for using absence of activity as a trigger.
Why it matters
Customers often leave quietly, and an action-only trigger will not catch them.
Who is affected
Lifecycle and email marketers, especially in SaaS.
Martech stack area
CDP, Marketing Automation
Stack impact
Pick one inactivity signal tied to your own churn history, test it on a small segment and exclude customers with seasonal use.
Business impact
Low A contributed opinion column on MarTech (owned by Semrush). Examples are illustrative and there are no studies or datasets; the author notes not all silence means churn.
What to watch
Evidence from your own tests on inactivity triggers.

Anna Levitin, an email and lifecycle marketing strategist, argues in a MarTech column published October 5, 2026 that email automation should respond to both active signals (what customers do) and inactive signals (what they stop doing).

The core idea

Most email platforms trigger on actions, so teams must define “normal” behaviour to detect silence.

Illustrative examples (not data)

  • Inactivity window: no login for 7, 14 or 30 days.
  • Trigger timing: an email three days after a skipped setup step.
  • Seat utilisation: 10 of 10 seats used signals expansion readiness; 2 of 10 signals churn risk.
  • Feature adoption: using 1 of 10 features versus 6 of 10.

Caveats from the author

The thresholds are examples and should be based on your own churn patterns. Not all silence means churn, since some products are used seasonally. Send priority should be transactional first, then triggered, then promotional.

Our read

Good practice, not research. Test it on your data and exclude seasonal users.

Sources

  1. MarTech: How to turn customer signals into smarter email automation (opens in a new tab) News report ·

    Source for the column's examples and caveats.

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