Case Study: Senpo
Order value up 34%. Data and automation that never sleeps
Senpo moved to Manago AI to make better use of customer data across the entire purchase journey. Today, our platform supports one in seven transactions in its online store.
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- 34%
- Higher average order value
- 4,078%
- Return on investment
- 19.6%
- Share of sales value
Meet Senpo
Senpo is a Polish brand specialising in mattresses, beds, pillows and sleep accessories. The company focuses on giving customers comfortable, healthy rest, with products suited to a range of needs and preferences.
It pairs a wide choice of bedroom products with expert shopping advice, helping customers create a space that supports recovery and good sleep. The brand is growing its online sales with a focus on convenient shopping and a complete bedroom range.
Partnership goals
Senpo set four goals for its partnership with Manago AI.
Greater personalisation of communication with customers, based on their interests, purchasing behaviour and sleep-related needs.
Better use of customer data to create tailored product recommendations and messaging at each stage of the purchase journey.
Higher customer engagement and conversion through automated communication that delivers relevant content and offers at the right moment.
Stronger long-term customer relationships through activities that drive repeat purchases, cross-selling and growth in Customer Lifetime Value.
The solution: rolling out automation and Agentic AI
Migration and segmentation powered by Agentic AI
The partnership started with a migration to Manago AI, combined with Agentic AI to build advanced segments and generate the data and analysis behind marketing activity. This became the basis for communication matched to the customer’s purchase journey in the bedroom category.
Segmentation and contact scoring
Segmentation draws on transactional behaviour, user activity and interest in specific categories and products. The resulting behavioural, transactional and hypersegmentation strategies are built around customer activity on the website and supplemented by a split based on the category of product purchased. This lets the brand speak to customers who have just bought a box spring bed differently from those buying duvets and bedding.
Contacts are also grouped by how they respond to email and by conversion analysis of key automation rules. Contact scoring automatically assigns customers to the right segments and communication scenarios based on their activity and purchase potential.
Lead generation
Newsletter sign-up pop-ups offer a one-time discount code on a customer’s first bedroom purchase. Occasional offer pop-ups, matched to the user’s context, timing and intent, complement them.
42 active workflows
Automation covers communication at every stage of the customer journey: after a website visit, after basket abandonment, after purchase, and based on behaviour and contact scoring. It includes:
Abandoned basket recovery, which is critical for high-value products such as beds and mattresses.
Post-purchase product recommendations with automated cross-selling: after a mattress purchase, customers are offered the right bed base, mattress protector or contour pillow.
Discount campaigns triggered immediately after a newsletter sign-up or a completed satisfaction survey.
Personalisation for specific occasions, from World Sleep Day to Black Week and the ex-display sale.
Long-term and educational campaigns, such as a message series on caring for a new mattress so it lasts for years, and reminders to replace pillows for hygiene reasons after two years.
On-site personalisation
Graphic pop-ups promote current special offers and free delivery on the homepage. A Social Proof widget builds trust by showing how much interest a selected product is attracting. Dynamic product recommendations adapt to previously viewed categories, distinguishing customers looking for foam mattresses from those interested in spring mattresses.
Leadoo chat
Leadoo chat acts as an additional touchpoint with users, supporting engagement and the path to purchase.
Results: putting data to work for Senpo
Implementing Manago AI led to a higher basket value and a measurable platform contribution to the store’s sales.
Key results
34% higher average order value (AOV) for transactions supported by Manago AI in the touchpoint model, compared with the store’s overall average.
24% higher AOV under last-click attribution, compared with the overall average order value.
19.6% of total sales value generated in the current year is supported by Manago AI in the touchpoint model.
14.7% of all store transactions are supported by Manago AI in the touchpoint model.
4,078.3% return on investment (ROI).
Contact database health
47% of the database consists of monitored contacts.
53% of contacts in the database are active.
What’s next
The next stages of the partnership include expanding communication to SMS and WhatsApp, and rolling out RFM analysis, Web Push, Personal Shopping Inbox and Preference Center.
