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eCommerce

Taranko

In e-commerce, building customer relationships, encouraging repeat visits, and driving repeat purchases are just as important as generating sales in the moment. Why? Because retaining customers is far more cost-effective than acquiring new ones. A marketing automation platform can help by enabling not only hyper-personalized communication, but also effective customer segmentation.

branża fashion

Fashion

Handel detaliczny

Retail

eCommerce

eCommerce

Taranko

About the Company

TARANKO is a Gdańsk-based (Poland) fashion brand that has been on the market for 38 years. Its products are designed for conscious, confident women - “modern ladies: ambitious and strong” - who want to look beautiful both at work and in their private lives.

TARANKO helps them build a wardrobe for every occasion, offering everything from dresses to coats, shoes, and accessories - all perfectly suited to their individual style.

38

Years on the Market

32

Physical Stores

500000

Online Customers per Month

TARANKO sells through both traditional retail and online channels - operating 32 brick-and-mortar stores across Poland, as well as an online store that serves 3.7 million customers annually.

Taranko

Goals

To improve the performance of its marketing campaigns and build loyalty among as many online store customers as possible, TARANKO needed a high-performance marketing automation tool that was also easy to use.

The company also wanted to take advantage of effective customer segmentation and hyper-personalized communication based on customer data. In search of the right solution, TARANKO turned to ExpertSender, a leader in the Polish marketing automation market.

Solution

Using the ExpertSender, TARANKO began applying RFM segmentation to evaluate customer activity across three dimensions:

  • the time since the last purchase (Recency),
  • purchase frequency (Frequency),
  • and spend value (Monetary).

Based on this method, TARANKO assessed the value of individual customers and identified two key segments: the most active - and therefore most valuable - customers, who buy frequently and spend the most (VIP / Premium Segment), and those who buy often but have not yet spent as much (Potential Loyalists).

TARANKO delivers personalized content to both of these segments. Premium customers receive communication that emphasizes their special relationship with the brand, while Potentially Loyal customers receive information about bestsellers to encourage them to increase the value of their next purchase - and ultimately move into the Premium segment.

In addition, TARANKO uses ExpertSender to create a thoughtful brand onboarding journey by sending a series of emails both to newsletter subscribers and to new customers. Through this channel, both groups are introduced to the world of the TARANKO brand and gradually immersed in its aesthetic and product offering. Every message sent to customers is carefully refined and distinctly feminine - from the tone of voice and visual design to the content topics themselves. TARANKO creates newsletters to inspire. As a result, customers look forward to receiving them, and often say so themselves.

An especially important role in developing personalized communication is played by the TARANKO Club. It brings together a community of exceptional women around the brand who not only take part in exclusive contests, but are also invited to collection launches and other important events. The TARANKO Club is a community of loyal brand enthusiasts. TARANKO knows that its long-term, loyal customers are its greatest strength. Women who have been connected with the brand for many years are exceptional ambassadors and members of its community. They choose TARANKO for everyday wear, weekends, the office, and the most important moments in their lives - TARANKO dresses accompany them at weddings, birthday celebrations, and family holidays. The brand knows its customers and understands what matters to them. Data from TARANKO Club members is used in ExpertSender scenarios so that the communication directed to them is perfectly tailored.

TARANKO also uses data on previous purchases and viewed products to segment customers by product category. Using a recommendation engine, it sends them content that is genuinely relevant and more likely to encourage a purchase. For example, customers who bought coats and sweaters during the equivalent season last year - or visited those product categories in the online store within the last 90 days - receive a dedicated message related specifically to that product group.

Results

Using the ExpertSender platform not only enabled TARANKO to segment its contact base more effectively, but also made it easier to deliver personalized communication based on each customer’s previous behavior.

As a result:

  • The overall email open rate increased by 21%.
  • The click-through rate (CTR) grew by 9%, reaching 6%.
  • Currently, 56% of TARANKO's database consists of active subscribers.

Direct, personalized communication with our customers is essential to us. Building long-term relationships with our customers and brand lovers helps strengthen their loyalty. I have been responsible for our marketing automation activities, which I develop based on the analysis of customer behavior. All of the communication we create in this area is built around personalization and hyper-personalization, based on customer profile analysis. ExpertSender allows us to create communication scenarios that are as relevant and tailored as possible - just like our dresses.

Justyna Zaorska

Senior E-commerce & Marketing Specialist at Taranko

eCommerce

Used Technologies

Dynamic Segmentation

Real-time modification of segments based on purchase and behavioral data.

Marketing Automation
rekomendowane produkty

Product Recommendation

Suggests complementary or better products based on customer behavior, boosting conversion rates and enabling cross- and upselling.

Recommendation Engine

Personalization

Leverages collected data across multiple channels and behavioral inputs to create unique customer experiences.

Personalization
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