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Before fixing your onboarding emails, fix this first

Many SaaS founders have had this experience.

Hours spent writing onboarding emails.

Subject lines optimized.
Clear calls-to-action.
Clean structure.

And yet the results are disappointing.

  • Low open rates.
  • Low engagement.
  • Users disappearing after signup.

The natural assumption is that the copy is the problem.

But that’s often not the real issue.

Recently, during a conversation with an email deliverability specialist, an interesting example came up.

One SaaS company had:

"28,000 contacts - 1.2% open rate - Almost half of their spam complaints coming from that list"

The insight was simple but powerful:

Most founders assume the problem is copy.
In many cases, the real problem is the list itself.

Over time, SaaS products accumulate subscribers who:

  • signed up but never cared
  • forgot they subscribed
  • have subscribed inadvertently

When good emails are sent to the wrong audience, the system starts working against you.

Low engagement → weaker sender reputation → worse inbox placement → even lower engagement.

And the cycle continues.

What surprised me most was this:

If the inactive part of the list is removed and emails are sent only to engaged users, inbox reputation can start improving within just a few sends.

But many founders hesitate to do it.

It feels counterintuitive to delete thousands of contacts, even when those contacts are hurting deliverability.

That conversation changed how I think about onboarding systems.

Instead of focusing only on writing emails, the stack should look something like this:

Layer 1 — Clean, engaged list
Layer 2 — Thoughtful onboarding sequence (Behavior/activation based)
Layer 3 — Automation

Once the list quality problem is addressed, writing the actual onboarding emails becomes much easier.

In fact, that Layer 2 realization is what led me to build a system that helps generate onboarding sequences much faster. Instead of spending hours writing emails from scratch, founders can generate and customize a structured onboarding sequence in about 45 minutes.

(7-email framework + Python automation)

For anyone curious, here is my earlier post :

https://www.indiehackers.com/post/i-spent-6-hours-writing-12-mediocre-onboarding-emails-so-i-built-a-system-that-does-it-in-45-minutes-a17ea39578

And if you're interested in the deliverability side of this problem, the insight above came from Yanna, who runs ReviewMyEmails (https://reviewmyemails.com/) and the Email Almanac.

Her work focuses on the part most founders ignore:

List health and reputation.

Because in email, great writing alone isn’t enough.

A healthy list comes first.

on March 9, 2026
  1. 1

    Great post — onboarding emails are often a symptom of a deeper retention gap. One area that gets missed even after nailing onboarding: failed payment recovery. If users drop off involuntarily (expired card, insufficient funds), no onboarding email saves them. RecoverKit auto-sends a Day1/3/7 recovery sequence the moment a Stripe payment fails — beta is free, I can set it up with you: tryrecoverkit.com/connect

  2. 1

    For founders who want the onboarding framework + automation mentioned above:
    https://khanfalah.gumroad.com/l/ytsay

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