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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+71% increase in ROAS

Arena recognized that more efficient, targeted marketing efforts were a real opportunity for business growth, but faced significant challenges with its previous marketing platform. 

  • Wasted budget on unknown audiences — campaigns targeted broad segments, burning budget on users unlikely to convert.
  • Out-of-sync paid channels — Google and Meta were not receiving real-time customer data, targeting generic audiences instead of leveraging Arena’s actual buyer behavior.
  • One-size-fits-all campaigns — Email and ads pushed to all subscribers couldn’t speak to shopper intent, ignoring valuable engagement opportunities.
  • Unclear channel allocation — Arena’s previous tech stack couldn’t determine when an email would outperform an on-site weblayer, or vice versa — meaning budget was split by assumption, not evidence.
2.4x higher conversion rate

260 Sample Sale’s marketing team knew their sizable email audience held untapped potential — yet without the tools to target and personalize at scale, broad sends remained the default. 

  • The 35-hour production tax = zero time left for growth. Copywriting, audience segmentation, and product block assembly consumed nearly a full FTE’s worth of hours every week, leaving no capacity for strategic initiatives.
  • Manual segmentation = limited personalization. With a contact list of over 900k  customers, the team recognized that a more precise approach to audience segmentation could unlock even greater results, improving deliverability, reducing unsubscribes, and surfacing high-intent buyers who deserved a more tailored experience.
  • Broad sends = missed revenue. Without behavioral targeting, campaigns couldn’t distinguish a loyal VIP from a first-time browser, meaning high-propensity buyers received the same message as everyone else.
  • No clear starting point for automation = slow adoption. The team wanted to hand off complex campaigns to AI, but needed a low-risk, high-confidence entry point before trusting it with their most critical sends.
20% lift in revenue

musicMagpie’s data-driven business model depends on accurate customer insights. However, as browser restrictions on third-party cookies increased, the company anticipated significant challenges.

Historically, marketers relied on pixels and browser trackers to measure conversions and understand customer behavior. With browsers introducing protections like Safari’s Intelligent Tracking Prevention (ITP), many of those traditional tracking methods were becoming unreliable.

For musicMagpie, losing visibility into customer behavior would mean:

  • Reduced personalization capabilities
  • Less reliable performance tracking
  • Higher acquisition costs
  • Difficulty optimizing marketing spend

At the same time, the company needed deeper insights into the value of its existing customer base. Without structured lifecycle segmentation, it was difficult to distinguish loyal buyers from customers at risk of churning.

musicMagpie needed a solution that could unify customer data, support a cookieless future, and enable smarter retention strategies.

Over £1Million revenue generated in six months
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Over £1Million revenue generated in six months

With a growth-focused business strategy and expanding product catalog, DUSK needed a marketing platform that could keep pace with its ambitions. But the limits of its previous email marketing provider made this difficult — data attribution, impactful reporting, and campaign automation was a real challenge, making relevant, timely campaigns difficult to realize.

To create campaigns that aligned with its business goals, DUSK needed to speak directly to its audience with a platform that offered: 

  • A unified view of customer relationships that integrates customer data from all its sources
  • The ability to personalize and orchestrate customer journeys at scale 
  • Detailed reporting that offers granular insights into lucrative touchpoints, campaign performance, and optimization opportunities.
+100% growth

Krombacher needed to scale its loyalty program and deepen customer relationships in an increasingly digital market. But a fragmented tech stack was preventing the German brewer from creating the personalized experiences modern consumers expect.

The problem stack:

  • Siloed systems = fragmented customer view. One tool for CRM data and one managed email marketing, making it difficult to coordinate communications or understand the full customer journey across touchpoints.
  • Manual processes = slow, inefficient campaigns. Without automation or unified data, the team spent excessive hours building campaigns, importing data between systems, and managing customer communications — time that could have been spent on strategy.
  • Generic messaging = poor engagement. One-size-fits-all communications couldn’t leverage loyalty data, customer behaviors, or real-time insights, resulting in a 25% open rate and missed opportunities to drive retention and advocacy.

As Krombacher’s digital ambitions grew, its legacy setup couldn’t support sophisticated segmentation, multi-channel orchestration, or the data integration needed for a modern loyalty program.

+16% Revenue from Search

The HD Supply ecommerce team analyzed its channel available and how its customers interacted with them.

It realized that buyers wanted to be able to make a purchase quickly and reliably. HD Supply had to be able to facilitate its customers finding the right products fast and ensure that they could order them efficiently and go about their everyday business.

HD Supply set out to make its buying experience a more optimal one, specifically looking to improve its add-to-cart feature.

Reduced operational costs

When the COVID-19 pandemic struck in 2020, Carrefour was experiencing order volumes and rising demand like never before.

How did its teams cope? By adopting Bloomreach’s content management solution powered by Loomi AI.

+8.4% Revenue Per Visitor

In a world that’s rapidly shifting toward digitalization, Jumbo stands out as a brand that has seamlessly adapted to market changes time and time again. The company takes pride in its ability to be responsive and dynamic, catering to the diverse and ever-changing needs of its customers.

But this results in a unique set of challenges for the grocer. For instance, the grocery industry serves a multitude of customers each day, making its audience essentially “everyone.” Not to mention, this sector also caters to immediate needs, unlike many industries where purchases are driven by desire or want. The pandemic only increased the urgency of these needs, making it difficult for Jumbo’s ecommerce practitioners to keep up with demand. Like a double-edged sword, Jumbo’s growth (i.e., increase in private-label SKUs, expansion of its store portfolio, and shifting focus areas) was beginning to compromise its online experience since its legacy infrastructure could no longer support the company’s expanding use cases, particularly when it came to product discovery.

Jumbo knew that it had to adapt quickly and invest in search and merchandising technology that would support its growth and expanding endeavors. In particular, its next search tool needed to handle a diverse number of customer and market types without being too complex, manual, or reliant on IT. The solution also had to be easy to scale, as change is always a constant for the Dutch grocery retailer. Lastly, Jumbo needed a flexible, user-friendly tool with both AI automation and manual capabilities that could deliver fast, accurate, and personalized results in line with its customers’ growing expectations.

+15% Search Revenue

As SmartPak expanded its product offerings, third-party apparel line, and targeted market to include barn owners, the company found itself in a state of hypergrowth. However, this rapid expansion of the business and diversification of product lines presented a unique challenge for SmartPak. Even though the company aimed to remain true to its roots and ensure that each customer interaction felt personalized and genuine, the brand also had to keep pace with the growing demands of an increasingly diverse customer base with various needs, wants, and pain points.

Though armed with personal equine expertise, the small merchandising team found themselves in uncharted territory. Now, they had to provide the same level of service that reflected the brand’s customer-first mindset at scale — without compromising the company’s commitment to providing high-quality, tailored ecommerce experiences to its customers.

Fortunately, SmartPak saw this challenge as an opportunity to innovate and adapt, leveraging its equine industry knowledge and close-knit team dynamic to develop a merchandising strategy that would allow it to scale effectively. Despite these growing pains, the ecommerce department was confident that they could maintain Smartpak’s high standards by continuing to build meaningful relationships with customers through intuitive digital experiences, no matter how large their audience, product line, or in-house business ventures grew.

+18% increase in conversion rate

Raisin has the goal of offering the best possible financial products to its customers in the most convenient way.

Recognizing that every customer has unique preferences and requirements, Raisin aims to provide tailored and consistent experiences by leveraging its mobile app and using mobile marketing strategies to connect with customers.

One big challenge facing Raisin was its desire to match customer personal needs with suitable financial products. On top of that, Raisin wanted to use ecommerce personalization tactics to best connect customers with their desired financial products.

 

Popeyes UK saw loyalty as more than just rewards — the brand saw it as a growth engine. However, its systems weren’t ready to unlock their full potential.

  • No kiosk data = invisible majority. About 75% of orders happen through kiosks, but Popeyes had no way to identify who those customers were, making personalized follow-up impossible.
  • Disconnected systems = scattered insights. Valuable data lived in multiple places — from tills and kiosks to guest Wi-Fi and post-purchase surveys — but none of it was stitched together. Without a unified customer view, the team couldn’t act on the data.
  • Generic messaging = weak loyalty impact. Without knowing who their in-store customers were or what they cared about, Popeyes had to rely on one-size-fits-all campaigns. The result: forgettable experiences that didn’t drive return visits.

Popeyes needed a way to connect offline behavior with digital engagement — and to do it fast, from a single platform.

One of the main reasons we moved to Bloomreach is because of how difficult it is to work when you have your single customer view separated from your marketing platforms. It is hard to work like that. It is significantly easier to work when everything is contained in the same CDP.”

— David Carey, Chief Technology Officer, Popeyes UK

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Using a unified AI strategy to succeed in ecommerce