Subscribe to Our Newsletter
Stay up-to-date with relevant news, podcasts, events, and much more. It is free and you can unsubscribe at any time.
How Home Shopping Retailer CHANNEL21 Made An Extra Six-Figure Profit Over Two Years Using Predictive Models
Exploiting Inactive Customer Potential CHANNEL21 is Germany's third-largest home shopping station and can be received in 95 % of all TV households. Six million customers enjoy the retailer's full range of products, including fashion, beauty, health, jewelry, household...
How Budnikowsky Increased Profits by 12.5 % with CLV-Based Targeting
Lack of Advertising Effectiveness due to Misdirected Selection Budnikowsky Handels- und Service GmbH & Co. KG operates 185 drugstores with 1,950 employees in the Hamburg region. One million customers hold the Budni customer card – 40% of them for over 14 years. At...
Lunch Break Sessions 2021 – Maximize Your CLV!
Customer Lifetime Value forecasts (predictive CLV) are only for data science or the BI department? Far from it!Why the (future) CLV is so relevant, how you can set it up easily and quickly and how this can be done without any programming knowledge, you will learn...
Using the Corona Crisis as an Opportunity for Multi-Channel Retail Business
Convert Offline Customers to Become Multi-Channel Customers The subject of this anonymized case study is an international fashion house with over 30 stores and 4,000 employees. The contact restrictions required due to the COVID-19 pandemic hit the retailer...
A/B-Testing of Predictive Models – Guideline & Best Practices | Part 2
In the first blog post about A/B testing, you already learned what an A/B test is good for and the concept behind it. You were also faced with two simple test designs. In the second part of this blog post, you will learn about two further developed test designs. You...
A/B-Testing of Predictive Models – Guideline & Best Practices | Part 1
Why Should You Test At All? When companies work with the CrossEngage Customer Prediction Platform (CPP), they naturally ask themselves what effect the predictive models created in the platform have on their marketing KPIs and on individual campaigns. This question can...