Goodr, the active sunglasses brand, runs one of the sharpest in-house email programs around. As their list matured, the old high-growth playbook started leaving revenue on the table: strong click rates that converted softer, and a lot of sends going to people who were never going to engage. Orita layered its daily engagement scoring on top of goodr's own segments, proved its picks with a controlled test, found the engaged customers their rules were missing, and steered sends away from the ones only hurting deliverability. Revenue per campaign is up 52%.

Revenue per campaign: goodr QBR, August 5, 2026. Profile counts: Orita audit, April 2026.

Goodr's email program, in their lifecycle lead's words, "prints money like email should." The machine works. But goodr grew up fast, and a big, loyal list eventually matures: fewer brand-new subscribers each year, and more people who have been hearing from goodr for a while. The strategies that worked in the rocket-ship years don't hit quite the same on a settled audience.

The real issue was subtler than a slowing list. The clicks were still coming in, but each one was worth less than it used to be: goodr was driving about the same clicks for noticeably less revenue behind them. And plenty of sends were still going to people who were never going to engage, which quietly drags on deliverability for everyone else. goodr wanted to get sharper about who they send to as the list ages, and they wanted a partner who would show its work, having been burned before by tools that overpromised on AI that didn't deliver.

Orita builds a bespoke ML model for each brand, and scores every Klaviyo profile daily on how likely they are to engage, then sorts them into clear Engagement Levels that live inside Klaviyo.
goodr layered those Engagement Levels on top of the segments they already trusted. That did two things at once:

• It caught the engaged customers that time-bound rules miss. A "clicked in the last 90 days" rule quietly drops someone who clicked on day 91, even when they are a great bet. Orita's model finds them and adds them back in.

• It pulled sends back from the people who were only hurting deliverability. goodr's audit found 594,634 not-engaged profiles had received an email in the last 90 days. Orita closed both gaps.

goodr went live before their Memorial Day sale, in time for the summer busy season.

Goodr didn't take the lift on faith. To prove Orita was finding new revenue and not just reshuffling it, they ran a test: send the normal campaign to the usual audience, then clone it to the audiences Orita added, with Klaviyo's smart sending on so anyone who already got the first email was skipped. Whatever that second group bought could only have come from profiles goodr's own segments would have missed.

It added up fast. Across five product launches, the Orita-only sends drove roughly $39,000 in orders goodr would not otherwise have captured. On one of them, the added audience alone brought in about $12,800, close to double what the normal send made. The customers goodr would have skipped out-earned its entire usual audience on that campaign.

Zoom out and it compounds. By the August QBR, goodr's revenue per campaign was up 52.2%. Same brand, same great creative, now pointed at the right people.

"Our email program was already strong, but as our list matured we needed to get smarter about who we reach. What sold us was that Orita could prove it: the segments live in our own Klaviyo, and they showed us the added revenue was real. Revenue per campaign is up more than 50%."

— Jared Grawrock, Head of Product Marketing, goodr

Orita layers on top of Klaviyo and is live in about a day: your data, scored, sitting in your own account. Want to see the engaged customers your segments are missing, and what they are worth? Get your free list audit at orita.ai/audit.