Tamaris Increases Repeat Purchase Rate With AI-Powered Segmentation

Industry: Retail

Partner: valantic 

Wortmann Schuh-Holding KG, founded in 1967 and headquartered in Detmold, Germany, is one of Europe’s leading shoe distributors and retailers. For over 50 years, Wortmann has been a global leader in young, fashionable footwear, achieving continuous growth through entrepreneurial innovation. The company’s portfolio includes renowned brands such as Tamaris, Marco Tozzi, Caprice, Jana, and Novi Footwear, operating across multiple European and Global markets.

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Products

Increased
repeat purchase rate
(one-time to multi-time buyers)
13
countries
deployed
with customized use cases in 12 months

Challenge

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.

Solution

Tamaris chose Bloomreach and our valued partner valantic to unify customer data from all touchpoints, creating a 360-degree view that powers AI-driven segmentation and automated campaigns designed to increase purchase frequency and build lasting customer loyalty.

Unified customer data platform with real-time access = complete visibility into every customer’s journey. Loomi AI automatically ingests customer data from ecommerce transactions, retail stores, email engagement, website behavior, and customer service interactions. This creates a single, continuously updated profile for each customer—showing purchase history, browsing patterns, channel preferences, and engagement signals in real time. Marketing teams can now see exactly where customers are in their lifecycle and what actions might drive the next purchase.

AI-powered segmentation engine for reengagement = proactive targeting of at-risk customers. Instead of treating all customers the same, Loomi AI analyzes behavior patterns to identify customers needing a reengagement plan — like declining email engagement, abandoned browsing sessions, or extended time since last purchase. The platform automatically segments these customers and triggers personalized reengagement campaigns with product recommendations based on their specific purchase history and browsing behavior.

Automated marketing campaign orchestration = right message, right customer, right time. Targeted marketing actions execute automatically based on customer segment, behavior triggers, and lifecycle stage. When a customer exhibits the need, the system immediately deploys a personalized re-engagement sequence — removing the manual work and ensuring no opportunity is missed.

Here’s How It Worked: Purchase Frequency Reactivation Journey

  1. Customer makes first purchase → Loomi AI captures transaction data, website behavior, product preferences, and engagement signals to build initial customer profile 
  2. Reengagement signals identified → After the first purchase, the platform monitors engagement patterns (email opens, website visits, browsing behavior) and flags customers showing early signs of disengagement 
  3. Automated segmentation triggers personalized journey → Customers identified as at risk are automatically moved into a reactivation segment and enter a tailored campaign sequence 
  4. AI-powered product recommendations deployed → Each customer receives personalized emails featuring product recommendations based on their original purchase category, browsing history, and similar customer purchase patterns 
  5. Real-time optimization adjusts approach → The platform tracks response rates, click-through behavior, and conversion across each touchpoint, automatically adjusting send timing, product mix, and messaging for maximum impact 
  6. Cross-country deployment scales success → Winning use cases and campaign structures are replicated across 13 markets with local customization for language, product availability, and cultural preferences
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Before implementing Bloomreach, we had no effective way to segment our customers or understand how different segments performed. Today, we can analyze customer behavior in a much more granular and transparent way, identify trends, and derive actionable insights to guide our decisions.

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Marco Ziemski

Head of E-Commerce at Tamaris

Results

Thanks to Bloomreach and valantic, Tamaris obtained a 360-degree customer view consolidated from previously fragmented systems and now has a single source of truth for all customer data, enabling real-time segmentation and targeted campaign execution across all channels.

Tamaris increased repeat purchase rate as AI-powered segmentation and personalized product recommendations successfully encouraged customers to return more frequently, and valantic helped to execute a 13-country deployment in 12 months with customized use cases tailored to each market’s unique customer preferences, product catalogs, and regulatory requirements.

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