Customer Analysis 3.0 with AI

Recorded in Polish. English subtitles are available on the recording via YouTube's auto-translation.

Advertising keeps getting more expensive, and doubling your budget does not double your sales. This session shows how e-commerce leaders analyse customer lifetime value, retention, and acquisition without guesswork — joining what they know from their own customer database with their advertising costs, so profitability improves from both ends at once.

What we will go through

• Which 8% of your customers generate half your revenue — and what that means for your budget.
• Whether customers come back, and how long before they place a repeat order.
• Whether the quality of the customers you acquire is improving or declining over time.
• How to calculate customer acquisition cost against LTV — and what you can genuinely afford to pay.
• Which channels attract valuable customers, and which only deliver transactions.
• How to implement this without involving your IT department.

Who it is for

E-commerce managers facing rising media costs and pressure on profitability, and agencies working with their clients' data.

Details

When: Thursday 10 September, 14:00 CEST · live online
Presenter: Krzysiek Modrzewski — co-founder of Witbee and WitCloud, 15+ years in analytics
Attendance: free, registration required

Worth watching first

This session builds on the January episode — Scaling E-commerce with LTV, CAC, Attribution and AI — which covered the customer analysis framework, RFM 2.0 segmentation, and the difference between buying transactions and buying customers.