Marketing Analytics: Predictive Analytics in Marketing digital marketing analytics in theory

by Trần Hào



In marketing, people face a number of problems.While these problems have been traditionally solved using gut feeling, more recently predictive analytics is being used. The problems normally faced in marketing are as follows:

Knowing attrition rate, potential churn customers

Knowing how many market segments exists

How to allocate marketing budget

Impact of a marketing campaign

Knowing Loyal customers/key drivers

Direct marketing strategy

Key drivers of sales

Choosing between different marketing/product strategy

A number of models predictive models are being used to solve the above problems namely : Churn model, Cross sell /Up sell model, Attrition model, Loyalty model, Market mix model

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Marketing Analytics: Predictive Analytics in Marketing
digital marketing analytics in theory
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8 comments

RK varsity 16/10/2021 - 11:45 PM Reply
Luis Ramirez 16/10/2021 - 11:45 PM

Thanks to shareee!!!

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Vaibhav Sharma 16/10/2021 - 11:45 PM

The video is not learner friendly. The video speed cannot be changed and the aspect ratio is also not proper. Letterboxing issues.

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ankit bansal 16/10/2021 - 11:45 PM

how to access your course ???

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Karishma Shah 16/10/2021 - 11:45 PM

Thank you so much! This was very helpful.

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Geetha S. Krishnan 16/10/2021 - 11:45 PM

Great information and explanation. Thanks!

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Muddasar Shaikh 16/10/2021 - 11:45 PM

Need marketing data all industry plz call +91 7276756651
Email. Muddasar.shaikh@dzleads.com

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arun vaibhav 16/10/2021 - 11:45 PM

Excellent Introduction to Marketing Analytics Models I got so far!!

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