“The technical knowledge and insight given to us by the Bloomreach team has been top notch. We really had the feeling that Bloomreach wanted this project to be as successful as we did here at N Brown.”
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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.
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:
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:
Arriva UK Bus holds itself accountable to providing best-in-class communications while putting customers at the heart of the business.
Attaining such a goal is challenging in itself, but doing so without the support of the right marketing technology makes it even more difficult.
Arriva UK Bus recognised that its personalized marketing communications could take a large step forward. The company was not able to effectively segment its audiences, gain access to key insights, and have first-class marketing automation.
In order to increase customer engagement and retention, Arriva UK Bus wanted to dive deeper with ecommerce personalization.
When customers enter a Tatry Mountain Resorts ski liftgate with a Gopass card, a datapoint is tracked for each gate entered. This helps track where skiers exited the lift on top of the mountain and allows TMR to calculate the skied distances based on liftgates located at different points on the mountain.
TMR’s challenge? Collecting all of that data and using it to help optimize the customer experience at its ski resorts. The hope was that by delivering personalized ski statistics to valued customers, TMR could create a more complete and impactful experience on the slopes.
Bensons for Beds needed a tool that would allow them to capture data for customers who had both been in their stores or on their website at various different points of their buying journey. To get there, they had to overcome key roadblocks:
Fragmented tech stack = inefficiencies across teams. Marketers, merchandisers, and developers had to work across disconnected tools, hindering specialization and scalability.
“The technical knowledge and insight given to us by the Bloomreach team has been top notch. We really had the feeling that Bloomreach wanted this project to be as successful as we did here at N Brown.”
“The technical integration with Bloomreach was easy and seamless. Bloomreach offers enough tools and services to be that one consistent ‘brain’ behind the website operation. Bloomreach can help the customer journey be flawless across the entire web experience.”
“Having higher quality data allows you to communicate in a better way with your customers. The ultimate goal is to use the data we have collected to offer our customers the best possible experience.”
“When we first demoed Bloomreach Engagement, our tech team, data team, and marketing team were all really excited by the platform’s capabilities. It was very clear to us how easy the platform is to use and how we could leverage its features to achieve the goals of all of our stakeholders.”
Sofology recognizes that a sofa is one of the biggest investments that people make. Making a purchase is often a lengthy process that blends in-store visits, online browsing, and careful deliberation.
To best serve its audience and help them choose the right product, the brand wanted to build a welcome email campaign that embraced the unique, multi-step shopping journeys of their customers.
Leveraging Bloomreach’s AI-powered personalization and customer journey orchestration tools, Sofology set out to craft a welcome email campaign designed to perfectly align with each customer’s individual shopping experience.
In North America, Havanianas relies on effective email marketing to engage customers and drive sales through its direct-to-consumer ecommerce business.
Previously relying on an external agency to manage its ecommerce operations and email marketing capabilities within its Salesforce Marketing Cloud (SFMC) instance, Havaianas sought the flexibility that would empower its team to take greater control of its email marketing internally and scale the program more effectively.
As Hobbycraft worked to double down on its ecommerce strategy, the brand came up against several challenges in delivering a seamless search and merchandising experience. Prior to Bloomreach, Hobbycraft leveraged a rule-based solution that relied heavily on perfectly structured and enriched product data — something that was difficult to scale or even maintain. With 27,000+ SKUs spanning dozens of arts and crafting verticals, even small gaps in data could break the experience, which made the on-site search bar inconsistent and unreliable.
A query like “paint” might return oil sets, watercolors, and kids’ kits all in one product grid without any logic behind the order or mix of products. Similarly, “stickers” surfaced only children’s products, completely overlooking other subcategories like scrapbooking supplies. Due to these issues, Hobbycraft sought to better support shoppers in navigating to the most relevant options for their specific project.
Overall, traditional merchandising tactics, like pinning products or boosting by attributes, offered some control but also came with major trade-offs, including constant manual updates and challenges with out-of-stock items. The workarounds to these issues were resource-intensive and difficult to scale, particularly for a small team responsible for a large catalog. Hobbycraft needed a next-generation AI search and merchandising tool to help manage the experience by exception, without sacrificing relevance or performance. This would allow them to showcase their full product assortment, accommodate different types of shoppers, and reduce the burden of constant manual updates.
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