Norway's leading women's activewear brand used Wiser's AI-powered Frequently Bought Together, discounted bundle upsells, and checkout recommendations to consistently influence 8-11% of total store revenue every single month.
Founded in Oslo in 2016 by two French-born entrepreneurs, Famme takes its name from "femme", the French word for woman, with a Norwegian twist.
Norway's first clothing brand focused on seamless activewear. Famme pioneered the category and has been leading it ever since. made with premium yarn from Fulgar SpA — one of the world's top technical yarn manufacturers, and every manufacturer in their supply chain is carefully vetted and personally visited by the Famme team.
Their goal is simple: to encourage every customer to give their best and never give up. This dominant, high-volume Shopify brand serves active women across Norway and internationally.
Strong Volume. Loyal Customers. But Every Order Was Leaving Revenue Behind. WHY?
Famme was already doing exceptional volume. But activewear is an outfit purchase. A shopper finds the perfect leggings and checks out. The matching sports bra, the coordinating top, the layering jacket, all those items they would have happily bought, never surfaced. Multiply that across 5,000 –15,000 orders a month, and the untapped revenue is enormous.
The gap was not the traffic. It was not the product, and neither was it the brand trust. The gap was between what shoppers were buying and the complete outfit they could have been building if only the store had shown them the right pieces at the right moment.
1: Outfit Purchases Were Systematically Incomplete
Famme's catalogue spans leggings, sports bras, tops, jackets, loungewear, and shoes — a natural outfit ecosystem. Without an AI layer, shoppers bought single items. The complementary pieces sat undiscovered in the catalogue, order after order.
2: The Checkout Page Was Converting Orders, Not Maximising Them
Famme's checkout moved shoppers efficiently to payment but failed to present an upsell or cross-sell opportunity. With 9,000–15,000 orders per month, even a $20 average uplift per checkout recommendation would add $180K–$300K/month in revenue.
3: Scale Made Manual Merchandising Impossible
At 15,000 orders a month and a wide, regularly updated catalogue, manually curating "you might also like" sections for every product was impossible. They needed an AI engine that could learn, adapt, and scale automatically, not a static rule set requiring constant maintenance.
4: No Attribution on What Was Actually Driving Decisions
Without a recommendation engine, Famme had zero visibility into which product combinations drove purchase decisions. Merchandising decisions were made on instinct rather than data, meaning the biggest opportunities stayed invisible.
The Cost of Inaction - Every month without a recommendation engine was a month where Famme's shoppers checked out with partial outfits, the checkout page generated zero upsell revenue, and millions in latent purchasing intent went non-monetised. For a brand doing $6M–$14M/month, a 1% improvement in Wiser contribution was worth $60K–$140K per month.
At Famme's scale, thousands of daily orders, a wide and growing catalogue, international customers, they needed AI that could learn product relationships at speed, deploy across multiple touchpoints simultaneously, and provide clear widget-level revenue attribution.
1. AI That Learns at Scale
Wiser analyses actual purchase patterns across thousands of transactions to identify what is genuinely bought together, not what looks good on paper. At Famme's order volumes, that distinction matters enormously.
2. Built for Outfit Brands
Frequently Bought Together is purpose-built for how activewear customers shop. It surfaces the complete outfit at the moment they're most likely to add it. All this is done automatically, for every product, at any catalogue size.
3. Checkout Integration
Wiser's checkout page widget turns the final pre-payment step into a revenue moment by surfacing one high-relevance recommendation without disrupting the purchase flow or increasing friction.
4. Widget-Level Attribution
Famme can see exactly which widget, Frequently Bought Together, bundle discount, or Checkout generated revenue. That visibility enables real optimisation decisions, not gut-feel merchandising.
5. No-Code, Shopify-Native
Up and running within hours. Wiser deploys natively on Shopify, matches Famme's brand aesthetic automatically, and requires zero developer resources to maintain or optimise over time.
6. Consistent Month-on-Month Lift
Wiser's contribution held at 7–11% of total store revenue across all 7 months. Not a single-campaign spike — a reliable, compounding revenue layer that grows with the store.
Wiser created Famme's biggest "unseen" growth engine. Out of $5.68M+ in total Wiser-influenced sales across 7 months, a single widget, Frequently Bought Together, drove $4.49M of it, all by quietly showing shoppers the outfit pieces they didn't know they needed yet.
By a massive margin, the single most impactful widget in Famme’s Wiser setup accounted for 79% of all Wiser-influenced revenue.
The strategy was simple: shoppers buying activewear usually want a complete workout look, not just one item. Wiser’s Frequently Bought Together (FBT) widget automatically showed the most commonly purchased matching products together, using real customer purchase data.
The results were massive
Over $1M in revenue from FBT alone in November 2025
6.9%–10.4% of total monthly store revenue consistently came from a single widget
No manual setup needed, the AI automatically learned and updated recommendations as new products were added.
Famme started using discounted bundles in March 2026. The discounted FBT widget adds a bundle saving on top of the standard recommendation, giving shoppers a concrete financial reason to add the paired product. If showing complementary products converts well, showing them with a discount converts even better.
The early numbers are striking:
$15,258 in March (its launch month, 0.18% of store revenue), then $64,491 in April - a 322% month-on-month increase, reaching 1.04% of total store revenue in just its second month. In Week 2 of April alone, it generated $22,229.
Fastest-growing widget in Famme's setup. At its current trajectory, this widget is on course to become a $150K–$200K/month revenue line by mid-2026, running alongside, not replacing, the standard FBT widget.
Captures price-sensitive shoppers who see the standard FBT recommendation but need a small additional nudge. The discount converts the hesitating shopper without touching the standard FBT revenue.
The margin math works. A 10% bundle discount on a $750 paired item is still far more valuable than the alternative, no add-on at all. Incremental margin is always positive.
Famme Planned to Monetise the Final Step Before Payment
The checkout page is the highest-commitment moment in the entire customer journey. Purchase intent has never been higher; the shopper is about to hand over their payment details. Famme's checkout page widget surfaces a single, carefully chosen product recommendation at exactly this moment — one final, low-friction opportunity to add value before the order is placed.
Across 7 months, this widget generated $255,437 in incremental revenue, averaging $36,491 per month with remarkable consistency across all trading conditions. This is pure incremental revenue: additional items added by shoppers who were already committed to buying.
The number looked like:
1. November 2025 was the highest-performing month, with the checkout recommendation widget generating $71,662 in extra revenue from shoppers already ready to buy.
2. Every month, the widget consistently contributed 0.13%–0.76% of total store revenue, adding thousands in additional sales with minimal effort.
3. The recommendations appeared directly at checkout, allowing shoppers to add products instantly without leaving the payment page, leading to higher conversion rates.
Famme's current Wiser setup already generates $811K+/month in influenced revenue. This Store can find more money, sitting in existing traffic. Several high-value touchpoints remain unactivated, each representing a significant additional opportunity for Famme's traffic and order volumes.
Revenue From Currently Inactive Widgets
1. Post-Purchase One-Click Upsell
The highest-intent moment in e-commerce (immediately after payment) is generating zero Wiser revenue. At 759–1,767 orders/month, even a 5% accept rate on a $200 offer will make it to $75K–$177K additional revenue per month.
2. Collection & Category Pages
These are among the highest-traffic pages on any Shopify store. Shoppers browsing "Leggings" or "Sports Bras" are at peak discovery intent. No Wiser widget here is taking away major revenue from the store.
3. Email Recommendations
Injecting personalised product picks into Famme's order confirmation, browse-abandon, and back-in-stock flows through WISER integrations would turn every automated email into an additional revenue event.
4. FBT with Discount Expansion
Growing 322% month-on-month in its first two months. Expanding to more product categories and entry points could see this widget reach $150K–$200K/month by mid-2026.
With an average Wiser contribution of 8.92% of total store revenue every month, peaking at 11.11%, Famme turned AI recommendations from a nice-to-have into one of its most consistent revenue lines.