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.
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.
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:
O2 Slovakia wanted to optimize their Facebook and Google ad audiences to make sure their digital campaigns were reaching the right users with the right message. To achieve this, they built lookalike audiences within Facebook and Google Ads to target potential customers with acquisition campaigns.
But the ability to build sophisticated audiences and segment potential customers based on relevant data was limited in Facebook and Google’s audience builders. The company wasn’t achieving the results they aimed for, and turned to Bloomreach’s agentic personalization platform, Loomi AI, to bolster their audience-building efforts.
After changing leadership during the COVID-19 pandemic, Bensons for Beds shifted focus to invest more in digital to match its in-store offers. The company wanted to learn how to use its digital propositions to not only just support in-person shopping, but also use its collected customer data to construct personalized journeys for customers that would build brand loyalty.
Since then, Bensons for Beds has begun to redefine the role that digital plays in an omnichannel business by making its website the focal point of the sales process. Turning to Bloomreach, the company has employed our marketing automation solution, powered by Loomi AI, to reshape its website into more than just a referral engine for brick-and-mortar locations — it is now redesigned as a hub where customers can learn more about products and transact.
As the team at DFS knows full well, the nature of the ecommerce furniture business differs greatly to many other categories. Most customers have a significant average order size and make purchases far less frequently than say, at online grocery stores or online fashion retailers. After all, just how often do you need a new couch or bedroom set for your home?
Once customers have purchased their furniture, it isn’t a wise business decision to keep emailing them about buying another piece of that same furniture. Because if the quality of the original product is good, said customers won’t need another one for quite a while.
The lengthy sales cycle and time in between reactivation means that DFS must be clever about email follow ups after purchases, customer relationship management, and about how it contacts customers via email in general. Being able to combine collected data from both in-store and online experiences helps, but what is the most effective way of using that data to provide limitless personalized experiences to customers?
Tamaris had successfully launched a digital sales strategy, but increasing purchase frequency among existing customers remained a key challenge. Without a unified view of customer behavior across channels and touchpoints, the brand couldn’t identify why customers disengaged or how to bring them back.
Fragmented customer data across disconnected systems = no clear picture of purchase patterns or engagement. Customer information lived in separate platforms: ecommerce, retail point-of-sale, email marketing, and customer service systems. This siloed architecture made it impossible to understand a customer’s complete journey or identify signals that indicated re-engagement or cross-sell opportunities.
Low repeat purchase frequency = limited customer lifetime value despite strong acquisition. While Tamaris successfully attracted new customers through digital channels, driving those customers back for a second and third purchase proved difficult. Without visibility into post-purchase behavior or the ability to segment based on engagement patterns, marketing teams sent generic campaigns that struggled to drive repeat purchases.
No framework for proactive reengagement = reactive marketing that missed critical intervention moments. The brand couldn’t easily identify when customers were at risk of disengaging or what specific actions would reengage them. By the time marketing teams recognized a customer had lapsed, it was often too late to win them back cost-effectively.
Complex multi-country rollout requirements = need for scalable solution across 13 markets. Tamaris operates across multiple European countries, each with different customer preferences, languages, and regulatory requirements. Any solution needed to work consistently across all markets while allowing for local customization — a challenge that existing fragmented systems couldn’t support.
As Hobbycraft doubled down its approach to product discovery, the well-loved UK brand recognized that shifting shopper behavior was creating both a challenge and an opportunity for its digital merchandising strategy.
With long-tail, intent-rich queries up 10%, Hobbycraft saw an opportunity to better serve these high-intent shoppers while continuing to support the casual browsers who make up the majority of the company’s web traffic.
But meeting these evolving expectations also exposed several operational challenges:
Flaschenpost.ch lost sales potential due to abandoned purchases in its web shop. Customers who were ready to buy added wines to their shopping carts but left the checkout before completing their purchases — a critical pain point for an ecommerce model that relies on convenience, inspiration, and repeat purchases.
With real-time data and AI fueling every campaign, you can unlock the next level of customer experience.
