How Fabletics Scaled Orders 10x Without Increasing CPA

Hey everyone,

Welcome back for another bite to chew on.

Every acquisition plan we see right now has the same shape: Meta, Google, maybe some TikTok or affiliate, and a line in the deck that says "diversify."

Then Q4 arrives, CPMs climb, and the diversification line is the first thing cut. We have sat in enough planning meetings at Obvi to know how this goes.

The channels you already run get more expensive.

The channels you have not tested stay untested.

Fabletics had a version of the same problem at a much bigger scale:

Millions of VIP members, a global e-commerce footprint, and a mandate to grow new customer acquisition without letting CPA drift.

Their paid media team wanted a surface where the consumer was actually open to a new brand, not one more interruption in a feed.

They found it in a thank-you moment.

Nift places a Fabletics gift in front of consumers right after they complete an action inside a partner app: a fintech checkout, a loyalty program, a subscription service.

The consumer picks a category, then picks Fabletics, then receives the offer.

From pilot to scale, Fabletics grew orders 10x on the channel while CPA efficiency improved 5%.

Here is how it works, what the results prove, and how to run your own test.

On the Menu:

You are paying more every quarter to reach the same people on the same two platforms. The customers you have not met yet are standing in a different line entirely.

That is the structural ceiling on most DTC acquisitions. The ad platforms know your audience, so they keep selling you your audience.

Nift opens a different door.

Nift turns everyday moments inside partner apps and services into thank-you gifts.

Someone pays with Afterpay, celebrates a birthday with Planet Fitness, or parks with ParkMobile, and the partner says thanks with a Nift gift.

The consumer picks from 6 different category choices, and then Nift's AI personalizes two different gift options for them to choose from.

Start your 30-day test with Nift →

Most paid acquisition reaches people mid-task. They are scrolling, searching, or watching, and your ad is the interruption.

Nift's traffic starts somewhere else.

A consumer just finished something inside an app they already use and trust: a purchase, a review, a booking, a payment. The partner wants to say thank you, and the thank-you is a gift from a brand the consumer has not tried.

That sequencing matters more than it sounds. The consumer is receptive because they just got something, not because they were targeted.

The Fabletics case study describes the result as introducing the brand to net-new customers "in a way that felt natural to the consumer journey."

Here is the part of the Nift flow that operators tend to underrate:

The consumer does not get handed a Fabletics offer. They are given a choice of categories and select a gift from there.

For Fabletics, roughly 40% of consumers selected the category Fabletics sat in.

Compare that to paid social, where interest is inferred and you pay for the impression whether or not the person cared.

On Nift, you pay a cost per person/acquisition that Nift optimizes towards based on dynamic CPC bidding.

It is tempting to look at Nift and see a promo code with a nicer wrapper. On your end the mechanics are similar: the gift redeems like a promo at checkout, and you set the terms.

The consumer experience is not similar.

A discount says "we will take less money if you buy."

A gift from a partner says "thanks for being a customer, here is something to try."

The Fabletics case study calls it aligning discovery with "moments of appreciation and reciprocity."

You are not just lowering the price of a trial.

You are changing the story the consumer tells themselves about why they are trying you.

Fabletics did not launch at scale. The case study is explicit that the 10x figure is "orders pilot to scale," which means the team ran a pilot first and earned the budget increase with results.

Nift's onboarding is built for that.

The kickoff call aligns on performance KPIs, attribution and desired scale before anything goes live.

There are no minimums on a test.

The team picks gift categories, adjusts audience settings and builds a gift designed to hit a target CPA.

Customers typically start arriving within 24 to 48 hours.

Nift recommends keeping a gift live for at least 30 days to get a clean read.

For Fabletics, the measurement side was non-negotiable.

Note what he is measuring against:

Not Nift's dashboard. Fabletics' own attribution.

Hold your pilot to the same standard.

The headline results did not come from turning the channel on. They came from iterating on what the consumer saw.

The case study credits "optimized A/B testing" and creative versioning through Nift's managed service, and the number that reflects it is 29% downstream conversion. That points to something operators should internalize about this channel.

The offer is the creative.

Gift value, product framing, the message on the certificate: those are the variables, and they move conversion the same way a new hook moves a Meta ad.

Fabletics' team ran that testing without staffing it internally, because Nift's service handled the versioning.

The hard part of any channel is not the pilot. It is what happens to CPA when you 10x the spend.

On most platforms, scale and efficiency fight each other. You buy deeper into the audience, the marginal customer costs more, and the blended number drifts.

Fabletics scaled orders 10x and CPA efficiency improved 5%, thanks to a mix of Nift’s premium opt-in moments, brand selection before the offer, optimized A/B testing, and adaptive CVR bidding.

Nift's algorithms continuously adjust the cost-per-person bid toward consumers most likely to convert, within the maximum you set.

Add a monthly budget you can change at any time, billed only on what is used, and the brand controls the ceiling while the system works the floor.

Scaling a channel is easy.

Scaling it without paying more per customer is the whole job.

The Fabletics results are strong, and we want to be precise about what they measure.

The case study demonstrates performance inside Nift. It does not independently establish that those orders were incremental relative to Fabletics' other channels, and Nift is upfront about that.

That honesty is worth more than a bigger number would be.

Plenty of channels will show you a clean in-platform ROAS and let you assume the rest. The right question for any new surface is not "did it convert?" It is "would these people have bought anyway?"

The Fabletics story gives you strong reasons to expect a favorable answer. It does not hand you the proof. You have to run that test on your own customer file.

There are real reasons to expect Nift's audience to look different from your paid social audience.

The traffic originates inside other companies' products, after an action unrelated to your brand.

The consumer picked your category from a list.

You also control the gift terms the way you control any promo, so you can scope redemption to first-time customers.

Nift also gives you first-party data on consumers who selected your gift but did not convert, with opt-in permission to retarget them.

The channel finds new people and feeds the rest of your funnel.

If you take one thing from this issue, make it this test:

Set a 30-day pilot with a budget you would be comfortable losing.

Before launch, agree with Nift on what counts as a conversion and how it shows up in your attribution, exactly as Fabletics did.

Then run these checks:

If the cohort holds up on both, you have what Fabletics had: evidence on your own models that justifies scaling.

If it does not, you spent one month and learned something your competitors are still guessing at.