Infoprodutores

From 7.24% to 24.07% open rate in 5 months.

Robison Kunz tripled his open rate and multiplied click rate on sends by roughly 8x in 5 months, using engagement-profile and journey-level segmentation.

+233%

in open rate

~8x

in click rate on sends

+128%

in CTOR, click over open

Robison Kunz is a leading info-product creator in professional photography. Through his Power mentorships, the Faixa Preta program and Individual Analysis, he helps wedding and portrait photographers grow and earn from their craft. The operation had a large list and blasted every send to the entire base, with a heavy tail of inactive contacts.

Objectives

  • Recover the email engagement metrics
  • Get premium content to the people who actually follow along
  • Stop burning reputation by blasting the whole list
  • Give more traction to lives, launches and the mentorships

Solutions

  • Engagement analysis of the current base
  • Segmentation by engagement profile, from Highly Engaged to Disengaged
  • Segmentation by journey level, from lead to mentee
  • Sends as per-segment variants instead of a single blast to everyone

The problem

In January 2026, the operation closed the month with 7.24% open rate and 0.09% clicks on sends. The list was treated as a single block. Invitations to lives, launches and content went to everyone, including completely cold contacts.

The cost showed up on two fronts. Low opens poisoned the domain reputation, and the premium content, like mentorships and individual analyses, arrived diluted in an ocean of ignored emails.

The optimization strategy

Inbox applied, on top of the client's ActiveCampaign, segmentation by engagement profile and by relationship level using Email Intelligence. Unlike the Luana Carolina case, there was no recency test here. The hypothesis was that engagement plus journey level already captured the relevant signal.

Phase 1: base diagnosis

Before any action, we mapped the real engagement of the base. January's baseline closed at 7.24% open rate and 0.09% click on sends, with a long tail of inactive contacts receiving the same volume as the people still following along.

Phase 2: profile and level segmentation

We created segments by engagement profile, from Highly Engaged to Disengaged, and by journey level, from lead to mentee. Each send became a per-segment variant instead of a single blast to the entire list.

Phase 3: focus on the engaged core

With the segments separated, qualified content was directed to the people who respond. Campaigns for qualified segments, like mentorship and individual analysis, delivered between 22% and 24% open rate, against roughly 1% for re-engagement attempts. A factor of around 20x between who responds and who is dormant.

Phase 4: fine tuning

Between April and May, we tuned the segments and ran targeted re-engagement attempts on the dormant base. The overall average followed the redistribution of effort and jumped in June.

The results

In January 2026, before implementation, the operation had 7.24% open rate and 0.09% CTR on sends. In June, five months later, open rate rose to 24.07%. A gain of +233% over the baseline.

Click rate on sends jumped from 0.09% to 0.70%, roughly 8x. CTOR, click over open, rose from 1.28% to 2.91%, up +128%. Contacts did not just start opening more. They started engaging more with the content they opened.

The evidence is in the per-segment split. In June, campaigns for qualified segments, like the Studio Strategy Session, the Individual Analysis and the Power Applications, delivered between 22% and 24% open rate. Re-engagement attempts stayed near 1%. Isolating the engaged core is what made the overall average jump.

Want to see these results in your account?

Robison started at 7.24% open rate and tripled it in five months. Email Intelligence is in free beta right now. Same install. Same process.

Join the Beta

Free. No card. No commitment.

See other cases