How DTC Pages Added $180k/Month in Estimated Revenue for Jambys by Fixing Product Discovery
27 A/B tests, 9 winners, and a product discovery overhaul - how data-driven CRO generated +$180k/month in estimated additional revenue for a loungewear brand whose customers couldn't find what they were looking for.
27
A/B Tests Run
9
Winning Tests
5
Page Types Optimized
The Story Begins
Jambys is a DTC loungewear brand selling "Performance Inactivewear" - super-soft unisex apparel designed for the best part of your day. From their signature boxers with pockets to joggers, hoodies, and sleepwear, every product is built for maximum comfort at home. With a loyal customer base and strong product-market fit, Jambys had built a recognizable brand in the competitive loungewear space.
The Challenge
Jambys had great products and a devoted following, but their Shopify store was working against new customers. Product names were brand-specific ("Long Jambys", "Chilluxe Jogger", "Floof Jogger") rather than intuitive, making it difficult for first-time visitors to understand what they were looking at. Collection pages showed flat product images with no lifestyle context. Filters were virtually invisible - out of nearly 15,000 collection page views, only 153 people clicked the filter button. The site converted existing fans well, but struggled to turn curious new visitors into buyers.
Experiment Spotlights
We ran 27 A/B tests for Jambys - 9 were winners. Here are 5 of the most impactful, with real data from Intelligems.
Adding a Gift-With-Purchase to Drive Cart Value
Hypothesis
Adding a gift-with-purchase incentive in the cart will increase average order value and drive more conversions by giving shoppers an extra reason to complete their purchase.
Before
After
The GWP drove both more conversions AND higher order values - a double win. AOV increased $2.77 while conversion jumped 8.72%. Shoppers didn't just buy more often, they spent more when they did. This was the single biggest revenue winner across the entire engagement.
Scrollable Lifestyle Images in Collection Pages
Hypothesis
Allowing users to scroll through multiple images (model shots and flat lays) within collection cards will improve product desire by letting shoppers see items on real people.
Before
After
VoC research and user testing both flagged the desire to see products on models. Scrollable collection cards removed the need to click into every product page just to see a lifestyle image. Seeing products on real people helped shoppers picture themselves wearing the items - the highest CVR lift of all experiments.
Replacing Brand Names with Common Product Categories
Hypothesis
Categorizing collections by easy-to-understand subtypes (Pants, Shorts, Hoodies) instead of brand-specific names (Long Jambys, Chilluxe Jogger) will help new users navigate and find items more easily.
Before
After
New customers didn't know what "Long Jambys" or "Chilluxe Jogger" meant. Renaming to common terms and adding visual subtype navigation made browsing dramatically easier. AOV also increased $4.80 directionally - shoppers who could find products more easily ended up adding higher-value items to their carts.
Making the Filter Button Actually Visible
Hypothesis
Moving the filter from a nearly invisible position flush at the bottom of the screen to a prominent button at the top of the collection page will increase filter engagement and product discovery.
Before
After
Out of 14,945 collection page views, only 153 people found the old filter. Everything on the site was the same blue tone (Von Restorff Effect), and the unusual bottom placement violated expectations (Jacob's Law). The relocated filter drove +332% more clicks, +3.9% more product views, and increased products purchased per visitor from 0.12 to 0.13. Better discovery created a direct funnel to revenue.
Buy More, Save More Tiered Bundles
Hypothesis
A more compelling tiered bundle offer will increase conversion by making multi-item purchases feel like a better deal.
Before
After
The average discount per order jumped from $20.24 to $24.72, so AOV didn't increase. But the more appealing offer drove significantly more purchases - enough that total revenue and profit both grew. Volume wins over margin when the conversion lift is large enough. A textbook lesson in offer elasticity.
The Engagement
8 months
Duration
27+
Experiments
9
Winners
Over 8 months, we ran 27 A/B tests across the homepage, collection pages, product pages, cart, navigation, and sitewide elements. 9 tests won, generating a combined +$180k/month in estimated additional revenue. We spotlight 5 of the most impactful experiments above, but winners also included a scrollable homepage hero section (+$15k/month), a buy box hierarchy redesign, collection page objection handlers (+10% ATC rate), and a sitewide offer optimization. The unifying insight across nearly every winner was product discovery - when customers could easily find, understand, and visualize products, they bought more and spent more. The +332% increase in filter engagement, +14.4% collection page conversion from lifestyle images, and +11.5% conversion from intuitive subtype navigation all tell the same story: remove friction from browsing, and revenue follows.
The Results
+$180k/mo
Est. Additional Revenue
9
Winning Tests
27
A/B Tests Run
Services Used
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