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.

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.

• Every abandoned shopping cart represented a clear intention to purchase. Without automated cart recovery mechanisms, this revenue potential remained untapped, even though the probability of conversion was well above average.
• Manual outreach couldn’t scale = missed opportunities. With growing traffic and an expanding product range, manually identifying and addressing shopping cart abandoners was no longer feasible from an operational standpoint. Valuable purchasing impulses were lost without personalized reminders or targeted reactivation.
• The key challenge was to identify highly qualified purchase intentions in real time and activate them automatically, personally, and across channels in order to sustainably increase conversion, customer lifetime value, and marketing efficiency.