200+ Real Customer Stories From Marketers and Merchandisers Like You

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Sideshow Goes From Concept to Campaign in 15 Minutes With Bloomreach Affinity
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The Challenge
With a lean marketing team, an audience of diverse fandoms, and dozens of product drops every month, Sideshow needed a faster, more relevant way to launch campaigns.

  • Demanding campaign-building processes = slow speed to market.
  • Diverse, dedicated fandoms = complex segmentation needs.
  • Manual workflows = missed real-time opportunities.
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+$10K
Revenue from a Single Campaign
+13.9%
Email Revenue from Affinity
15minutes
From Idea to Launch
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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+39.8% Revenue per Visit

TFG has always had a customer-first approach, which is why it wanted to find new ways to create personalized experiences for its customers without being intrusive. The company was aware of recent advancements in AI technology that would open up new ways to connect with customers. In particular, the organization wanted to explore using conversational shopping as a solution.  

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? 

TFG needed a solution that could properly address these concerns while also driving consequential business impact.

1.5m Customers Reached

Nasty Gal USA provided a unique opportunity for marketing experimentation. The need to build out the brand’s automated customer journeys and overall marketing strategy offered a chance to try new ideas. 

While proven and reliable strategies are driving forces for well-known brands like PrettyLittleThing, Nasty Gal’s status granted its marketing team the freedom to experiment with different campaigns, test bold strategies, and innovate the customer experience using Bloomreach Engagement’s comprehensive capabilities. 

With experimentation in mind, the team focused on boosting two key goals for the brand: converting first-time shoppers on the website and increasing the lifetime value of its existing customers.

87% of transactional WhatsApp messages read

Traditional marketing channels like email can lead to messages getting overlooked. After all, with customers receiving so many marketing messages every day, how can brands cut through the noise?

This is the challenge Venture Group faced. The brand found it difficult to effectively promote cross-marketing initiatives and collect timely feedback. The group recognized the need for a more personal and engaging way to connect with their customers and build one-on-one relationships, particularly after they had already made a booking.

+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.

25% increase in search-driven conversions
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25% increase in search-driven conversions

With a wide range of products and a customer base that spans different age groups, languages, and shopping preferences, Patrick Morin recognized that its on-site experience needed to be both accurate and intuitive to keep pace with the expectations of shoppers. The brand also had to balance operational efficiency with the ability to deliver personalized experiences at scale and better accommodate customers in the fluid home renovation market. 

However, Patrick Morin’s tech setup created several roadblocks:

  • Unreliable search. Customers frequently struggled to find products, especially when searching in Québec French — mixing English and French — or using slang terms. These frustrations often led to abandoned shopping journeys and lost revenue opportunities for Patrick Morin. 
  • Labor-intensive merchandising. A small ecommerce team had to manually update weekly flyers, seasonal promotions, and product rankings, leaving little capacity for more strategic merchandising initiatives.
  • Inconsistent product data. Gaps in the PIM system limited the ability to deliver precise results, enable faceted navigation, or lay the groundwork for advanced personalization.
  • Preparing for future growth. With B2B capabilities and advanced personalization on the roadmap, Patrick Morin knew its existing setup wouldn’t be able to support future needs for its continually expanding business. 
58% increase in revenue from automated campaigns
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58% increase in revenue from automated campaigns

Veke wanted to expand its newsletter program and automate key marketing processes to fuel growth, but its existing platform couldn’t support these ambitions. The company needed a way to understand customer behavior at a deeper level and make data-driven decisions that would directly impact revenue.

The problem stack:

  • One-size-fits-all communication = missed engagement opportunities. The team was sending identical content to their entire CRM base, with no ability to tailor messages based on customer interests or behavior. This approach wasn’t sustainable for growth.
  • Limited segmentation and automation = reduced conversions and efficiency. Without proper tools to segment audiences or automate workflows, the marketing team couldn’t connect with customers at the right moments with relevant messages, leaving revenue on the table.
  • No visibility into newsletter performance = inability to scale personalization. The previous platform offered limited insights into how newsletter registrations and campaigns performed, making it impossible to optimize or scale personalization across channels.
  • Manual workflows = slow execution and missed opportunities. Time-consuming manual processes prevented the team from acting quickly on customer signals, causing them to lose momentum in their customer engagement strategy.
15minutes

With a lean marketing team, an audience of diverse, dedicated fandoms, and dozens of product drops every month, Sideshow needed to deliver marketing campaigns that were fast, relevant, and effortless to execute.

But demanding campaign-building processes were slowing things down. Each launch required new content, audience segmentation, and journey building, with multiple steps and collaborators involved. These bottlenecks made it difficult to launch campaigns quickly, limiting Sideshow’s ability to react to real-time opportunities.

To keep pace with demand and personalize its messages across channels — without adding complexity — Sideshow adopted Affinity, Bloomreach’s autonomous marketing 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.

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