How Underoutfit Raised Day 94 ROAS 33% with Churney pLTV on Google

Underoutfit improves day 94 ROAS by 33% by fueling bidding with Churney's predicted LTV.

+33%

Day 94 ROAS

+3

Categories unlocked

1000s

Happy customers

The Story

Underoutfit is a fast-growing DTC apparel brand redefining everyday comfort. With a strong ecommerce presence and a loyal returning customer base, they knew their products had long-term appeal, but acquiring new customers profitably through paid channels remained a challenge. To scale sustainably, Underoutfit turned to Churney to help optimize their Google Ads prospecting campaigns for future value rather than short-term returns.

The Goal

Profitably Acquire Net New Customers

Underoutfit’s objectives were clear:

  • Improve ROAS in Google Ads prospecting campaigns;
  • Prove profitability when acquiring net new customers;
  • Build the foundation for expansion into remarketing and new product categories.

The breakthrough

The challenge

Short-Term ROAS ≠ Long-Term Value

Like many ecommerce brands, Underoutfit was optimizing prospecting campaigns based on short-term performance windows, typically 7 to 14 days. This made it difficult to justify spend on top-of-funnel campaigns and limited their ability to advertise less immediately profitable products.

Without visibility into which new customers would become repeat buyers, Underoutfit’s team couldn’t confidently scale their prospecting efforts.

The solution

Predicting Future Revenue, Today

Underoutfit partnered with Churney to introduce predictive lifetime value (pLTV) modeling into their Google Ads setup. Using first-party ecommerce and behavioral data, Churney trained a model to predict each new customer’s Day 94 revenue within 24 hours of their first purchase.

These predictions were then fed into Google Ads as conversion value signals, allowing campaign optimization to shift from short-term purchases to long-term revenue potential.

The test focused specifically on prospecting campaigns targeting net new customers in the U.S. market which were previously most difficult to scale profitably.

The results

Prospecting Breakthrough → Expansion Everywhere

By switching to Churney’s pLTV-based optimization:

  • Underoutfit saw a 33% lift in Day 94 ROAS
  • Prospecting campaigns became sustainably profitable
  • The success unlocked expansion into remarketing and 3 previously unprofitable product categories

Profitably acquiring new customers didn’t just improve ROAS, it transformed Underoutfit’s approach to paid acquisition. The success of the experiment led Underoutfit to double down on Churney’s models, not only for prospecting but for remarketing, category expansion, and smarter forecasting overall.

Churney has improved our advertising efficiency. By optimizing for predicted long-term value, we increased ROAS by 33% while gaining scale. The impact was so clear that we’ve now rolled out Churney’s conversion action across our Google account. Beyond that, Churney has enabled us to launch and scale new product categories that we couldn’t advertise before. It’s transformed the way we approach growth.
Felix Leshno
Co-Founder
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FAQ

Questions ecommerce teams ask before a Google prospecting pLTV pilot.

Additive answers on fit, differentiation, validation, and what to read next. Not a repeat of the case study body.

Can we pilot pLTV on one Google prospecting campaign before unlocking new categories company-wide?

Yes, and that is the lower-risk path. Prove Day 90+ ROAS on a single prospecting line, then expand predicted value once finance and UA agree the horizon matches repeat purchase behavior.

How do returns and exchanges affect the LTV label for apparel DTC prospecting?

In apparel DTC, first-order revenue is often a weak proxy for real customer value. Returns and exchanges eat margin on many first orders, so any prospecting setup that sends Google a flat value per purchase (or gross order value) will overweight buyers who look efficient in Google Ads reporting but never contribute durable profit. Churney models predicted value from your data warehouse history, including return and refund patterns at user level. Net revenue after returns is part of that prediction before Churney sends values directly to Google, not gross first-order revenue alone. If the label still treats every first order as equal margin, Google prospecting will scale discount-driven and one-and-done buyers. Short-window ROAS can look fine while Day 90+ performance stalls. That is the failure mode Underoutfit avoided by ranking on predicted long-window value instead.

Our board still asks for MER and first-order ROAS weekly. How do we run a Day 94 test without misaligned reporting?

Publish two views: operational weekly MER and experiment KPI on the agreed long window. Underoutfit's case assumes leadership accepts Day 94 as the pilot decision metric.

How is Churney different from our Shopify or BI cohort LTV reports for prospecting decisions?

Cohort reports explain past buyers. Churney sends predicted value into Google so prospecting bids toward customers expected to repeat, including categories short-window ROAS previously looked unprofitable.

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