The 2025 Email A/B Testing Playbook That Revived a $200M Retailers “Dead” Email List

Think your email list is tapped out? So did this $200M retailer.

This 9-figure retailer was pulling in $47 million a year from email, SMS, and retention.

On paper, everything looked solid.

But behind the scenes?

Performance was plateauing, engagement was fading, and their once-powerful email list felt like it had nothing left to give.

Sound familiar?

Here’s the truth:

Your email list isn’t dead – the relationship you had with your customers is what’s REALLY dead.

And once you start seeing that plateau—you have two options:

1. Keep running the same dusty old playbook and hope Q3 pulls you out.

2. Or break the damn thing and rebuild it around what actually works.

We did the latter.

We didn’t throw more campaigns at it.

We didn’t redesign the emails to be more “gorgeous”.

We didn’t hire expensive copywriters who just use ChatGPT anyway.

We didn’t pour budget into paid.

We tested. Ruthlessly.

Why focus on testing? Simple:

If you don’t test, you don’t learn. If you don’t learn, you don’t refine. If you don’t refine, you don’t grow.

And in just one quarter—Q2—

And in Q2 alone, that strategy revived their retention program and unlocked an extra $26 million in revenue—without sending more, spending more, or adding a single new product.

Now, I’m going to show you exactly how we did it—because this isn’t just about one brand.

If you’re an ecommerce business sitting on a list that “used to work,” this is your turning point too.

What got your brand to $1M/year won;’t get you to $10M or $100M unless you embrace a culture of testing. And it starts with this mindset:

You have opinions.I have opinions.Data is the tiebreaker.

A/B testing gives you that data and you’ll start sailing once you implement the learnings fromit. Like the case study I’m about the share with you.

Here’s how we helped a 9-figure retailer go from $47M to $73M with one bold pivot:
A/B testing everything.

Act I: The Playbook That Needed to Die

The brand had a routine:

Every 1st of the month = ONE DAY SALE.
617,000 “engaged” subscribers blasted with a standard email.
$109K in revenue. On the surface? Great.

But look deeper:

• No segmentation

• No personalization

• No testing

• Massive ESP costs for email volume

• No clue why things worked (or didn’t)

This was not a scalable system.
It was a band-aid.

So we scrapped it and started testing—aggressively.

Act II: The Q2 Pivot That Changed Everything

We didn’t just dip a toe into testing.

We built a testing machine.

Step 1: Segmentation

We broke their 617K “engaged” list into high-intent micro segments:

• Apple fans

• Sony loyalists

• Canon buyers

• Active browsers

• 1x buyers with high AOV

After deduping and filtering based on behavior, we ended up with 288,000 real opportunities.

Less volume. More precision.

Step 2: Personalization

Then we rebuilt the email experience:

If you were an Apple buyer, you got Apple everything—subject line, header, products, CTA, landing page.

Sony folks got Sony.
Canon folks got Canon.
Every segment got their own experience.

From subject line to URL, every click screamed, “we see you.”

Step 3: Execution

We hit send.

Result?
From 288K emails → $190K in revenue.

That’s 70% more revenue from 50% fewer emails.

And it kept compounding.

We applied the same segmentation + personalization + A/B testing formula for the next 6 months.

And that same retailer scaled to $73 million/year from email, SMS, and retention alone.

But none of that would’ve happened if we hadn’t committed to one thing:

A Culture of A/B Testing.