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- Understanding customer analytics
- Handling big data problems
- Mining data for insights
- Visualising your results
- Acquiring and segmenting valuable customers
- Acquiring the ideal customer
- Using segmentation techniques
- Identifying customer preferences through micro segmentation
- Recognising customer lifetime value
- Defining CLV
- Looking at best practices for CLV
- Getting started with predictive modelling
- Personalising cross sells and up sells
- Enhancing customer loyalty and retention
- Coping with customer churn
- Increasing customer retention
- Operationalising analytics to make better decisions
- Growing customer loyalty and advocacy
- Extracting value out of social media
- Seeing social analytics in action
- Employing sentiment analysis
- Incorporating all data types
- Ten ways to get started with customer analytics
- Start with the right strategic end in mind
- Ask the right questions
- Clarify your objectives
- Choose your success metrics
- Secure leadership and IT buy-in before you start
- Get the right people for the job
- Evaluate your data
- Pick the right tools to complete the project
- Develop your analytics plan
- Execute!
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