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Industry: Sporting Goods & Swimwear E-commerce
Case Study
How SwimOutlet increased their revenue per transaction by 47% with Pier39.ai
author-circleAnkita VermaMarch 19, 2026
About SwimOutlet
Industry: Sporting Goods & Swimwear E-commerce

SwimOutlet is the largest online specialty retailers in aquatic sports, serving swimmers, triathletes, water polo players, and fitness enthusiasts across the US on Shopify Plus. What sets them apart is not product range. It is loyalty. Families have shopped with them for generations, and protecting that trust shapes every decision they make.

testimonial

Our customers are swimmers - competitive, loyal, and not easily impressed. We've had families shopping with us for generations, and that's not something we take lightly. When your post-purchase experience is serving irrelevant offers, it quietly works against everything you've built. We made a change, and the results have been straightforward: revenue per transaction is up 47%, customers are coming back on store credits, and the experience finally feels like it belongs. For a business built on trust, that last part matters most.

Adam Hayim
VP Marketing & Growth, SwimOutlet
Revenue per transaction vs. Prior Provider metric
+47%Revenue per transaction vs. Prior Provider
Month over Month growth in #repeat-customers who redeem Pier39 coupons metric
183.3%Month over Month growth in #repeat-customers who redeem Pier39 coupons
Port-over from the prior post-purchase provider metric
100%Port-over from the prior post-purchase provider

The Problem

SwimOutlet had been working with a post-purchase monetization vendor whose category fit made sense, but the execution fell short in two critical ways.

Slow, unresponsive support: Critical questions around reporting, offer configuration, or performance could sit unanswered for days. SwimOutlet moves fast and expects the same from partners. That lag was a problem.

Off-brand, generic offers: Customers who had just purchased a competition swimsuit or a pair of fins were being served generic, irrelevant promotions with no connection to swimming or to SwimOutlet. For a company built on generational loyalty, it was a missed revenue opportunity, but more importantly, an experience that was inconsistent with what their shoppers expect.

What SwimOutlet Was Looking For

SwimOutlet came in with four clear requirements.

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Protect customer trust:

Multi-generational loyalty is not a marketing line for SwimOutlet. It is the business. The post-purchase experience had to protect it.

voucher

Native, relevant offers:

Offers needed to feel like a natural part of the experience, not an ad break.

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Store credits that drive return visits:

They wanted a post-purchase moment that brought customers back to SwimOutlet, not somewhere else.

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A responsive, transparent partner:

Fast responses, open data, no runaround.

How It Happened: Speed as a Signal

First call on a Thursday. Coffee and drinks the next day. SwimOutlet came with hard questions about reporting, offer quality, repeat purchase, and what transparency actually looked like in practice.

We answered all of them. By the end of that meeting, both sides knew they wanted to work together.

Initially, we explored a side-by-side comparison test because they were already working with another vendor. However, due to Shopify platform limitations at the time, we could not implement a 50/50 split. Because of the transparency of our initial data and the strength of the partnership, they decided to move forward with a full 100% implementation, even buying out their existing prepayment contract to make the switch.

That says a great deal about the confidence level on both sides.

What We Deployed

We deployed our Autonomous Ad agent configured specifically for SwimOutlet's brand and customer base.

Relevant, native offers:

Out went the generic credit card offers. In came the fitness, entertainment, nutrition, and other relevant loyalty offers that the customers actually want, served at the right moment, in a format that looks like a natural extension of the SwimOutlet brand.

relevant native loyalty offer example
Fig 1: Pier39's relevant loyalty offers that customers actually want
store credit offer example

Store credits for repeat purchase:

Customers earn credits toward their next SwimOutlet purchase, turning checkout into a reason to come back.

Real-time performance dashboard:

Full visibility into revenue, offer performance, and redemption data at all times. No black box, no waiting on reports.

performance dashboard screenshot

A Note on Seasonality

We launched in late fall, historically a quiet stretch in competitive swim. Major buying cycles had not kicked in yet, and early repeat purchase rates reflected that. We were upfront about it with the SwimOutlet team from day one.

Then January hit. Swimmers returned to training, spring meet prep started, triathletes began their season build. Store credit redemptions ramped meaningfully. By February, repeat visits were trending strongly upward.

This arc validated something important: the store credit strategy is not a one-time revenue play. It is a compounding retention mechanism. The full value of the model is measured across a season, not a snapshot.

The January-February ramp gave us high confidence that the retention thesis is working exactly as designed, and that the long-term LTV impact will continue to grow as more customers move through full purchase cycles.

Key Metrics

Revenue per transaction vs. Prior Provider metric
+47%Revenue per transaction vs. Prior Provider
Store credit redemptions ramping with swim season metric
↑ Jan-FebStore credit redemptions ramping with swim season
Time to full deployment metric
HoursTime to full deployment

The 47% lift is the headline. The more important result is what sits behind it: a post-purchase experience SwimOutlet customers actually engage with, that sends them back to the store, and that does not put the brand at risk.

Strategic Takeaways

  • Customer trust is non-negotiable: For brands with deep, long-standing customer loyalty, the post-purchase experience is not a revenue afterthought. A generic ad at the wrong moment can quietly erode something it took years to build.
  • Relevance dramatically outperforms generic: Fitness and wellness offers served to SwimOutlet customers consistently outperform generic promotions. When an offer matches who the customer is, they engage with it.
  • Store credits create compounding retention value: A store credit is not just a discount. It is a committed future visit. That value compounds over time in a way a one-time third-party payout never does.
  • Seasonality requires patience and transparency: Launching in a slow season meant early numbers needed context. Being honest about that, and then watching the January ramp arrive on cue, reinforced why transparency between partners matters from day one.
  • Speed signals partnership quality: How fast a team responds before you sign tells you how fast they will respond after. SwimOutlet picked up on that immediately.

What's Next

The post-purchase flow is performing and the seasonal ramp is underway. Next, we are going deeper: smarter segmentation between casual and competitive swimmers, offer sets tied to SwimOutlet's product calendar, and tighter optimization of store credit redemption rates. The 47% is a starting point.

Want to see how Pier39.ai can help your brand monetize post-purchase moments without discounts or disruption?

Visit Pier39.ai or reach out at hello@pier39.ai.