Can Machine Learning Beat Klaviyo’s Segments?

We’re About to Find Out.

We’re already crushing it for this client:

• 50%+ of their total revenue is attributed to email

• $300,000 in email revenue per month

But here’s the catch: deliverability.
Despite strong results, their deliverability scores hover in the 60s.

Which means… we’re leaving money on the table.

So we’re kicking off a new test—our first run with Orita.ai—to see if machine learning can take things to the next level.

The Problem With “Standard” Segments

Every Klaviyo marketer knows the go-to playbook:

• High-value customers

• Likely to churn

• Engaged subscribers

They work. But they’re blunt.

If deliverability is already struggling, hammering the same broad segments can make the problem worse. More disengaged subscribers. More bounces. More wasted sends.

Why Orita.ai

Orita’s approach is different. Instead of simple rules (like “opened 3 emails in 30 days”), Orita’s machine learning models look at deeper behaviors:

• Browsing + buying patterns that predict future purchases.

• Which customers are truly engaged vs. just casually opening.

• Who’s likely to churn before they go dark.

It’s about building smarter, more dynamic segments that improve targeting and reduce dead weight in your sends.

The Test We’re Running

Here’s the experiment:

1. Control: Keep running our standard Klaviyo segments in campaigns/flows.

2. Test: Layer in Orita.ai segments to identify higher-quality recipients.

3. Measure: Track changes in deliverability, engagement, and revenue lift.

The goal isn’t just to see if Orita can build better segments—
It’s to answer the million-dollar question:
Can smarter AI-driven segmentation improve deliverability and drive incremental revenue on top of $300K/month?

Why This Matters

For brands already doing big numbers through email, incremental gains are everything.

If Orita.ai helps us:

• Nudge deliverability from the 60s to the 80s+

• Unlock even 5–10% more revenue

That’s potentially $15K–$30K per month in additional profit—without more ad spend, without a bigger list.

What’s Next

We’re just kicking this off, but we’ll be sharing the results.

If Orita delivers, it could signal a major shift in how retention marketing gets done.

Because when machine learning starts beating the “default” playbook inside Klaviyo…
…it’s game over for cookie-cutter segmentation.

Stay tuned—this could get big.

-Parker Burr

www.bylders.io

PS - Orita also identified & suppressed ~30,000 bots on our list on day 1.