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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+34% Impressions

Like many other ecommerce brands, HMV runs pay per click (PPC) campaigns to acquire customers and drive revenue. 

The company runs both prospecting and acquisition campaigns across a range of ad networks and formats, such as Google Search, Facebook, Instagram, and more. Its biggest PPC campaign is a performance max (PMax) campaign, a newer type of advertising campaign offered by Google Ads. Google uses machine learning to automatically optimize ads across multiple Google properties, including Search, Display, YouTube, Discover, and Gmail. 

HMV consistently runs PMax campaigns as an evergreen, very top-of-funnel method to drive traffic to its website. Because this proves to be such a critical starting point for paid media impressions, HMV spends a significant portion of its marketing budget on its PMax campaigns. 

The challenge HMV faced with these campaigns was optimizing and maximizing them for peak impact. Even small, incremental improvements in impressions, clicks, or conversion rates could yield significant cost savings or a large amount of new revenue. 

While Google does automate much of the campaign process, it does require regular input from marketers for maximum optimization. This includes work done on creative assets, bidding and budget, or conversion goals. 

+17.5% Category Revenue per Visit
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+17.5% Category Revenue per Visit

Despite Interflora’s strong presence across France, Italy, Spain, Portugal, and beyond — which includes an extensive network of florists — Interflora struggled to provide a seamless online customer experience. In terms of B2C retail, Interflora was still fairly digitally immature but was eager to put its first-ever site search bar on its website. However, because Interflora lacked the tools to understand product data and customer behavior and preferences effectively, it was difficult to personalize marketing efforts and improve customer engagement. These issues were compounded by the growing competition from both traditional florists and new online-only flower delivery services, which added pressure on Interflora to innovate and enhance its digital offerings.

Given the multilingual demands of Interflora’s operations across different countries, the search bar also needed to be agile in its contextual understanding and capable of effectively processing French, Spanish, Portuguese, and Italian. Additionally, Interflora aimed to demonstrate the value of its new digital capabilities with clear, actionable metrics and was focused on measuring the impact of these changes on revenue — particularly through improvements in search and merchandising.

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.

+5% Conversion Rates

MandM was looking for a marketing solution that could help the brand put its customers at the center of its marketing strategy. 

MandM recognized how crucial real-time data was to understand its customers and build relevant touchpoints for their shopping journeys, but disconnected channels and siloed data was a real challenge. A platform that could plug customer data directly into every marketing campaign and weave channels together for a seamless, connected customer experience was the ultimate goal.

+25% Avg. Order Value

Despite its years of success offline, Wolseley confronted substantial challenges in its digital transformation journey, particularly in the realm of product discovery. Operating across diverse markets such as the UK and Ireland, the company’s vast array of 500,000 products — with 300,000 of them available digitally — presented a complex task in effectively targeting and serving its varied customer base. This complexity was further amplified by the need to cater to specific industry requirements for products within the plumbing, heating/cooling, building services, and pipe-fitting sectors. 

The main factor that was hindering Wolseley in its digital transformation was its reliance on build-it-yourself search technology platforms like Solr, which made it harder to construct a perceptive search engine that understood the nuances of each industry. This limitation affected the precision of search results and also impeded the company’s ability to properly segment its customer base. The segmentation issue was not merely a technical problem but also a strategic one, significantly impacting how Wolseley engaged with and fulfilled the needs of its diverse customer base across different markets.

Additionally, Wolseley’s internal processes were heavily manual, with its small team of merchandisers bearing the brunt of the workload. As a result, the team couldn’t focus its energy on things like expanding the product catalog, increasing the online customer base, and meeting the growing demand for more personalized shopping experiences. Wolseley knew it needed to stop building its own search engine and transition to a sophisticated, AI-powered product discovery platform. This initiative became imperative to meet Wolseley’s biggest e-commerce challenges head-on and aimed to further transform its online shopping experience into one that was seamless, efficient, and deeply aligned with customer needs and preferences across segments.

+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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