SUCCESS STORY

How Levi's scaled performance with Eureka and Smart Recommender across web journeys

How Levi's scaled performance with Eureka and Smart Recommender across web journeys

31X ROI

From Eureka's personalized search recommendations

50–60% CTR

High engagement from Eureka-powered search results
Challenge

Challenge

Levi's needed to increase basket size and AOV by helping fashion shoppers quickly find the right products, recover high-intent users who dropped off, and reduce friction across search, cart, and homepage journeys.

Solution

Solution

Levi's implemented Insider One's Eureka and Smart Recommender across search, cart, wishlist, and homepage, then added Architect journeys and multi-channel activation to orchestrate timely, contextual experiences from a single panel.

Result

Result

With Eureka and Smart Recommender, Levi's improved search performance, achieved 31X ROI from search recommendations, captured incremental impact from cart and homepage recovery, and scaled high-impact journeys in Q1 2026.

ABOUT THE CUSTOMER

Levi's Turkey is the regional arm of the iconic global denim and fashion brand, offering jeans and apparel across a wide range of fits and styles. As a leading fashion retailer, Levi's Turkey focuses on delivering relevant, high-converting digital shopping experiences for its customers.
INDUSTRY
Retail - Fashion
INTEGRATIONS
SOLUTIONS
Architect
CDP
Eureka
Smart Recommender
Predictive Segments
Web Templates
CHANNELS
Architect
Email
Eureka
Predictive Audience
Smart Recommender
SMS
Web Personalization
Web Push

SUCCESS STORY #1

Driving 31X ROI by transforming on-site search with Eureka

The Challenge

Levi's was losing conversions when shoppers used intent-based, long, complex queries and could not find relevant products. Search results were not sufficiently personalized, debounce rates were high due to slow and irrelevant responses, and key products were often buried. Marketers could not easily promote or demote items like seasonal collections or high-stock products without developer support, and there was limited visibility to evaluate search performance or act on no-result queries.

The Solution

Levi's implemented Eureka's hybrid search to combine lexical and semantic understanding, returning relevant results even for long and complex queries. Eureka personalized results using real shopper behavior such as clicks, add-to-cart actions, and purchase history, and introduced a pop-up experience that surfaced quick, relevant, personalized results with flexible design options. With merchandising controls and Eureka Analytics, marketers could adjust product ordering, identify catalog gaps from no-result searches, and compare performance across channels and locales without relying on development resources.

The Result

Eureka helped Levi's turn search into a high-performing growth driver, delivering a CTR between 50% and 60% and lowering the no-result rate to under 20%. The brand achieved 31X ROI from Eureka's search recommendations while empowering marketers to continuously optimize search without developer dependency.

31X ROI

From Eureka's search recommendations

50–60% CTR

Eureka-powered search engagement

<20% no-result rate

Improved search relevance

SUCCESS STORY #2

Helping shoppers find the right fit faster with guided search

The Challenge

Although Levi's is a well-known brand with iconic jeans lines, product names built around numbers such as 501, 511, and 502 sometimes created confusion for shoppers. In parallel, categories like pants and jeans span many styles including wide leg, straight, and cropped, and customers often prefer to search using descriptive fashion terms that match their preferences. Levi's needed a way to bridge numeric product naming and style-based search behavior so that high-intent visitors could quickly find what they had in mind.

The Solution

Levi's used Eureka features such as advanced faceting, search suggestions, and synonyms to guide visitors to the most relevant products quickly and easily. By surfacing popular items and prioritized products directly in the Eureka pop-up, Levi's ensured that key product groups appeared prominently, sometimes even before shoppers typed a single word. This helped reduce friction for both brand-loyal customers and new visitors navigating Levi's extensive fit and style options.

The Result

With more intuitive, faceted, and suggestion-driven search journeys, Levi's made it easier for customers to discover the exact styles they were looking for, from classic numbered fits to specific cuts. The brand saw its best performing month in May 2025 and sustained strong search engagement, including a 60% CTR in Q3 2025, followed by continued performance into Q1 2026.

60% CTR

Best Eureka search performance in 2025 Q3

SUCCESS STORY #3

Recovering cart drop-offs with Smart Recommender to protect AOV

The Challenge

Levi's saw that cart removal often reflected hesitation rather than a complete loss of interest, which created a leak in purchase intent. There was no recovery point in the funnel after users removed items from their carts, generic recommendations lacked behavioral context, and AOV eroded when products were deleted with no relevant alternatives presented. Levi's needed a way to re-engage shoppers at the moment of cart removal with contextual suggestions that kept them in the purchase journey.

The Solution

Levi's launched a custom Smart Recommender "removed from cart" campaign that surfaced the exact products shoppers deleted, directly on the cart page. When a user removed an item, a dedicated section appeared showing those products again, enabling visitors to reconsider them or explore closely related alternatives. This highly contextual, behavior-triggered experience helped preserve intent by keeping relevant items visible at a critical decision moment.

The Result

In Q1 2026, the removed-from-cart Smart Recommender generated direct impact and assisted impact. The campaign achieved a 15.41% PCTR, 12.67% PATC, and a 1.84% CR, turning a previous dead-end in the funnel into a conversion-recovering touchpoint and helping Levi's protect and grow AOV.

Direct impact

From removed-from-cart Smart Recommender

Assisted impact

From cart removal recovery journey

1.84% CR

High-intent conversions from recovery flow

SUCCESS STORY #4

Capturing wishlist intent with Smart Recommender for favourites

The Challenge

Removing items from favourites often indicated a drop in consideration, hesitation, or comparison behavior rather than a complete loss of interest. Without any intervention at this stage, users could silently exit the purchase journey and wishlist intent went unrecovered. Existing recommendation approaches did not react to specific wishlist actions, resulting in generic suggestions that felt disconnected from what users had just removed.

The Solution

Levi's implemented a Smart Recommender "removed from favourites" experience that displayed products removed from favourites directly on the favourites page. When a shopper deleted an item from their favourites, the module surfaced that product set again, giving users a contextual opportunity to reconsider or engage with similar items aligned to their preferences. This created a new, behavior-triggered touchpoint within the wishlist to maintain engagement.

The Result

In Q1 2026, the removed-from-favourites Smart Recommender delivered a 19.82% PCTR, 7.21% PATC, and a 1.35% CR. By turning wishlist removals into actionable recommendation moments, Levi's preserved high-intent traffic and strengthened conversion opportunities that would otherwise have been lost.

19.82% PCTR

Engagement on removed-from-favourites module

7.21% PATC

Add-to-cart performance from favourites flow

1.35% CR

Recovered conversions from wishlist actions

SUCCESS STORY #5

Personalizing the homepage for returning users to drive repeat engagement

The Challenge

Most fashion sites show the same generic homepage to all users, which reduces relevance and engagement for returning visitors. Levi's saw that many users browsed multiple products without purchasing and then struggled to find those items when they came back. Without personalized guidance to previously viewed products, high-intent returning users faced friction and spent extra time repeating their searches, which lowered conversion likelihood.

The Solution

Levi's implemented a "Previously Visited" Smart Recommender on the homepage, the highest-traffic entry point, to create a more personalized experience for returning users. The module surfaced products that visitors had already viewed, acting as a reminder and shortcut back to items they had evaluated earlier. This helped users quickly rediscover relevant products and reduced the effort required to resume their purchase journey.

The Result

In Q1 2026, the homepage Previously Visited Smart Recommender generated direct impact and assisted impact. The experience delivered a 10.92% PCTR, 3.51% PATC, and a 0.37% CR, turning the homepage into a high-performing re-engagement surface for returning visitors.

Direct impact

From homepage Previously Visited module

Assisted impact

From returning user personalization

10.92% PCTR

Engagement with homepage recommendations

SUCCESS STORY #6

Recovering cart abandoners with multi-channel Architect journeys

The Challenge

Levi's faced high cart abandonment rates as fashion shoppers frequently added products to their carts but did not complete checkout due to hesitation around size, fit, color, or price. Users were easily distracted across apps and platforms, treated carts as a "save for later" space, and often forgot to return, which led to lost conversions and underutilized high-intent traffic. Levi's needed structured, timely interventions to re-engage these shoppers and convert postponed decisions into completed purchases.

The Solution

Using Architect, Levi's built a cart abandonment journey that triggered a follow-up one hour after an item was added to cart but not purchased. The flow re-engaged users through coordinated SMS, email, and web push reminders highlighting the products left behind, while also pushing this audience into Google Ads for personalized advertising. This multi-channel, event-based orchestration kept Levi's top of mind and brought distracted users back into the purchase journey.

The Result

In Q1 2026, the Architect cart abandonment journey delivered a 9.94% CTR and a 2.37% CR, generating measurable business impact. By leveraging coordinated reminders across on-site and paid channels, Levi's turned abandoned carts into a reliable growth channel and strengthened the ROI of its performance marketing investments.

Business impact

From Architect cart abandonment journey

9.94% CTR

Engagement on cart abandonment messages

2.37% CR

Conversions from recovered cart sessions

SUCCESS STORY #7

Engaging younger audiences with an on-site quiz and coupon rewards

The Challenge

Levi's wanted to strengthen its connection with younger audiences and increase overall brand awareness. Beyond reinforcing its origin story and denim heritage, the brand aimed to broaden perception by promoting a wider product range. To do this, Levi's needed an engaging experience that would resonate with younger shoppers while supporting lead capture and business growth.

The Solution

Levi's launched a custom on-site quiz experiment after expressing interest in a gamified experience that prioritized a quiz-based structure. Users answered five questions, and those who completed the quiz correctly received a discount code as a reward. This interactive format showcased Levi's strengths and product breadth while capturing attention and incentivizing users to convert.

The Result

In Q1 2026, the quiz experience generated 556,589 impressions and incremental impact, with an 8.78% CTR and a 0.77% CR uplift. The campaign drove 513 coupon redemptions only in a few days before reaching the planned limit, resulting in strong business impact from coupons and demonstrating strong engagement from younger audiences.

Incremental impact

From on-site quiz experience

Coupon-driven impact

From 513 redeemed discount codes

0.77% CR uplift

Conversion lift driven by quiz campaign

Unify search, recommendations, and journeys with Insider One

Unify search, recommendations, and journeys with Insider One Unify search, recommendations, and journeys with Insider One

Unify search, recommendations, and journeys with Insider One

Levi's used Insider One's Eureka, Smart Recommender, and Architect to improve search relevance, recover abandoned intent, and run multi-channel journeys from a single panel, unlocking significant ROI and incremental impact.
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