← Klaviyo
Complex day at Klaviyo

Decide who to stop emailing before peak season

You’re the ai / ml engineer. Your team is in the room. Printed Aug 6, 2026.

Reducing unwanted messages can also remove the chance for a customer to re-engage.

Teams must weigh immediate recipient protection against the hidden cost of suppressing the wrong people.

Who you’d be doing this for

“I want fewer complaints, but I can’t quietly cut off customers who were about to come back.”

Parviz Hosseini · Retention Manager

He runs high-frequency lifecycle programs for a subscription brand and is accountable for both revenue and subscriber fatigue.

What is at stake

Complaints and unsubscribes are climbing for high-frequency recipients, and the rules in place catch only a few of them. You weigh silent suppression, which is hard to verify, against messages that would have earned engagement.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • recipient protection vs. recoverable revenue
  • individual relevance vs. auditable rules
  • peak-season urgency vs. verification rigor
  • aggregate gains vs. cohort-level harm

Why Klaviyo

At Klaviyo, lifecycle messaging decisions can influence both customer trust and merchants’ reachable revenue.

Written with these in mind

Responsible ML engineerExperimentation and causal evaluation specialistProduction ML safety practitioner

Not your kind of problem? 9 more at Klaviyo, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.