Grow

Despite the fact that there is a lot of talk about data analytics, there still seems to be something strange going on; Business leaders and in particular sales and marketing leaders, regularly take decisions that are often not in line with what data science supports and predicts.

This mismatch of what data says, and what business does, leaves great opportunities unused. The value of customer analytics provides proven cost savings and is essential for future revenue and margin growth.

And there is more. Most companies have the data already available to take big steps quickly. And there is even often no need for large ICT infrastructure projects to achieve major insights quickly.

In this webinar we share a data-driven playbook for action aimed at answering the following questions:

  • How to determine the lifetime value of individual customers
  • How to use this information to design an effective retention campaign
  • How to find prospects who resemble your most valuable customers.

Implementing a playbook provides insight and help marketers define and design campaigns with optimal effect.

In this webinar, you will learn:

Why business leaders need to act on what data say

The value of data analytics from a real-life case and using a real-life data set

How to start this journey to growth analytics

Resources:
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Presenters

René Jongen

Partner, RevelX

Specialist in top line growth. More than 25 years of experience in marketing and sales, both B2B and B2C. Has supported over a Billion € in top line growth for his clients. Uses quantitative methods from his background as applied physicist and engineer. Builds on behavioral psychology and neuro-marketing insights.

Bob Rietveld

Head of Growth Analytics

Head of the growth analytics team, with a focus on predictive modeling and experimental design. Previously, co-founder and managing director of a social media analytics agency specialized in creating insights from digital consumer behavior.

Working on a Ph.D. which applies machine learning methods on multi-modal data. Trying to understand how brand and user-generated content impact consumer decision making. An advocate for using the scientific method to answer business questions and realize growth. Curious person focused on substance, not style.

Specialties: Growth Analytics, Customer Insights, Machine Learning, Data-Driven Experimentation

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