200+ Real Customer Stories From Marketers and Merchandisers Like You

No theory. Just real campaigns, real results, and real marketers sharing what actually moved the needle. Get inspired by brands like yours — and start turning ideas into impact.

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Just a Few of Our Favorite Wins per Product

On The Beach Boosts Click-Through Rate by 95% With Price Drop Email Campaigns
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The Challenge
UK’s leading online holiday package company, On The Beach offers fully customizable travel packages – mixing flights, hotels, dates, and more – giving customers complete flexibility. However, this makes personalized marketing a real challenge for On The Beach.

  • Endless combinations = overwhelming data. 
  • Generic campaigns = missed opportunities. 
  • Limited targeting = shallow impact.
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+95%
CTR
+587%
Conversion Rate
+362%
Revenue Per Visit
Hobbycraft Boosts AOV by 21% and RPV by 7.3% With Conditional Slot Merchandising
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The Challenge
Hobbycraft‘s ecommerce journey hit a wall with their previous rule-based search solution that couldn’t handle the vibrant complexity of their 27,000+ SKU universe spanning dozens of creative verticals, resulting in:

  • Broken discovery experiences 
  • Team exhaustion 
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+21%
Avg. Order Value
+7.3%
Revenue Per Visitor
+6.4%
Avg. Order Value
TFG Boosts Online Conversion Rate by 35.2% With Bloomreach Clarity
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The Challenge
TFG was aware of recent advancements in AI technology that would open up new ways to connect with customers. However, since conversational AI is still a new technology, TFG had concerns: 

  • What would it be perceived as assisting with? 
  • Would the solution just provide stock answers (that any algorithm could spit out)? 
  • Would it hallucinate and provide inaccurate results? 
  • Would it be a closed system?
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+39.8%
Revenue Per Visit
-28.1%
Exit Rate
+35.2%
Conversion Rate

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+4.04% revenue per visitor

With a catalog of over 4,000 products, Regatta understands that no two shoppers are alike — and that personalization is key to helping customers find the products they’re looking for as they shop their site. 

But to create individualized shopping experiences at the speed and scale required, Regatta needed a solution that brought all of its touchpoints in sync. The brand needed technology that could:

  • Connect customer insights with product discovery tools to dynamically adapt each customer’s experience
  • Leverage in-session customer behavior to tailor each shopper’s search results and rankings
  • Personalize the entire on-site shopping journey at scale

Driven by the need to enhance its product discovery strategy, the well-established brand needed to address several problems simultaneously. Marga Franklin, the Senior Manager of Global Digital Merchandising and Content at Burton, identified several key obstacles: irrelevant search results, limited control over merchandising tools, personalization, and a high dependence on IT. 

From a search perspective, Burton lacked search features and algorithms that could return relevant results. Because of this, search optimization was too manual, leading the merchandising team to rely heavily on IT to change algorithms, synonyms, autosuggestions, and the look and feel of search and category pages. The biggest challenge here is that Burton is a global brand with over 33 different catalogs spread across regions, which made it impossible to tailor search globally for different localized languages and read analytics for quick insights. 

At the same time, Burton’s merchandising team dealt with processes that had become too manual as the company continued to scale. A final key concern was the need for personalized experiences at the geographic level, particularly for specific rider segments like mountain riders, backcountry riders, or park riders. However, Burton struggled to deliver search results at the product page or category level tailored to these distinct customer types. All these roadblocks underscored the need for a more advanced AI-powered ecommerce search engine — a project championed by Franklin, who had previously experienced success with Bloomreach Discovery.

+31% Purchase Events

The rising costs of paid advertising are a serious issue in today’s market. And what many companies have realized is that third-party cookie limitations play a part in that. Not only do ad networks (e.g. Facebook Ads) get less data to use for optimization, the number of conversions in the reporting user interface has also taken a big hit.

That means Facebook Ads might be more effective than you think based on the data you’re seeing. Which means that if you pull the budget and put it in a different channel, your numbers might get even worse.

Talk about confusion and uncertainty.

+23.39% Conversion Rate

Level Nine Sports began as an ecommerce company first before opening its brick-and-mortar stores in Utah. With its in-person shoppers, it could easily direct them to the products they wanted or needed and showcase top sellers, new products, or sale items.

But how could it do that effectively online? Level Nine Sports’ challenge became offering an equally great customer experience online as it could to shoppers who were walking into a physical store. This included connecting shoppers with products they desired and with inventory that the company wanted to move.

+8.5% Revenue Per Visitor

To help its customers find the right products, Jenson USA recognized the need to personalize its on-site search experience. But to do this, the brand needed to move away from traditional, manual workflows and adopt an AI-powered approach.

In particular, segmentation was a key focus area for the brand. With various types of bikers to cater to (e.g., mountain bikers and road bikers), differentiating between distinct audiences promised to yield more personalized results, more conversions, and more valuable customer relationships. However, this level of segmentation was beyond Jenson USA’s reach with its former solution.

+35% higher AOV

11teamsports needed to launch a scalable loyalty program that would drive repeat purchases and increase customer lifetime value across multiple countries and brands.

  • No loyalty program infrastructure = missed retention opportunities. Without a membership program, 11teamsports had no systematic way to reward repeat customers or incentivize higher purchase values across their 4.2 million customer base.
  • Complex multi-country rollout requirements = operational challenges. Launching a loyalty program across 23 countries with different languages, currencies, and regulations required a platform that could handle localization and compliance at scale.
  • Limited behavioral segmentation = poor targeting and lower engagement. Batch-and-blast email approaches couldn’t leverage customer transaction history, preferences, or behavioral data for personalized loyalty communications.
  • Scattered customer data = missed cross-selling opportunities. Without unified customer profiles across brands and countries, the team couldn’t create cohesive loyalty experiences or track member behavior effectively.
5 unique customer archetypes

For a brand centered on finding the right fit, one-size-fits-all marketing simply wasn’t an option for Thirdlove. The company needed a scalable way to deliver shopping journeys that were always relevant — if a customer’s size or shopping preferences changed over time, their experience needed to reflect those changes instantly.

To build these hyper-relevant experiences, Thirdlove needed to:

  • Personalize communications in real time based on individual fit and size data.
  • Create customer segments that reflect meaningful shopping behavior and purchases, not just static attributes.
  • Sync these customer insights across Thirdlove’s entire marketing stack, ensuring every touchpoint is consistently personalized.
+160% Subscribers daily

As a rapidly growing brand, Be Lenka wanted to provide all its customers with experiences as tailored and high-quality as its products. But the brand faced some challenges: 

  • Integration wasn’t easy. Be Lenka was using a custom-made web solution, which made it more difficult to integrate a new solution. 
  • Lack of resources meant potential bottlenecks. With a small in-house IT team, Be Lenka faced resourcing issues when trying to balance integration with campaign needs.
  • Manual processes limited scale. The custom-made solution didn’t allow the team to create more complex campaigns at the speed and scale they wanted.
10h saved per month

Miele wanted to provide customer experiences that matched the premium feel of its products. However, it was held back by several key challenges: 

  • Manual data exports took up time. In order to gather customer data for their campaigns, the team had to perform manual data exports, which took up hours of precious time each month.
  • Disconnected channels = fragmented customer view. Online and offline customer behaviors weren’t connected, making it hard to tailor messages or create seamless campaigns.
  • Generic communication = higher support costs. Customers would often call in for help with their appliances, increasing service load.
  • Missed revenue opportunities. Without personalized, timely guidance, customers weren’t engaging with additional products or services.
+4.04% revenue per visitor

With a catalog of over 4,000 products, Regatta understands that no two shoppers are alike — and that personalization is key to helping customers find the products they’re looking for as they shop their site. 

But to create individualized shopping experiences at the speed and scale required, Regatta needed a solution that brought all of its touchpoints in sync. The brand needed technology that could:

  • Connect customer insights with product discovery tools to dynamically adapt each customer’s experience
  • Leverage in-session customer behavior to tailor each shopper’s search results and rankings
  • Personalize the entire on-site shopping journey at scale

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