Predictive Modelling Whitepaper
Today, relevance is the most important success factor for reaching customers with advertising messages. For this, the personalization of marketing campaigns at all touchpoints of the customer journey is essential.
But how can an advertiser know when which message or offer will lead to the desired conversion? Data is the key here. Predictive models are used to categorize customers based on the probability that they will advance in the customer journey. Is a purchase expected, or is the user more likely to churn or achieve a different conversion?
In each of these cases, the user must be engaged with appropriate communication or an attractive offer. The advertiser can adjust their efforts based on the probability, thereby increasing advertising efficiency.
This whitepaper is specifically aimed at advertisers and data enthusiasts
– without prior Machine Learning knowledge.
This whitepaper provides an introduction to predictive modelling and its use in forecasting customer journeys. In particular, we will look at the
- prediction of purchases,
- prediction of events, and
- the prediction of customer churn.
We show in detail how you can use these insights for personalizing campaigns and customer experiences.
For the technical aspect of modelling, we guide you through the setup of Predictive Modelling in the Google Cloud Platform with a step-by-step guide.
This whitepaper includes
- Introduction to Predictive Modelling
- Application of Predictive Models
- Added Value of Using Cloud & Data Science Models
- Step-by-Step Guide to Creating Predictive Models in the Google Cloud Platform
After reading the whitepaper, you will be ready for:
- Increase revenue and ROI by personalizing marketing messages based on user behavior prediction.
- Understand predictive models and scenarios for their application.
- Discover the simplicity of implementation with the Google Cloud Platform.
- Benefit from state-of-the-art ML models and data-driven decisions
Predictive Modelling Whitepaper – download now!
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