Optimize e-banking experience

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About this service

Summary

he helped the business to reduce churn by using data analysis to develop and implement tailored retention strategies.

What's included

  • Customer behavior analysis

    * Analyze customer behavior data, including transaction frequency and channel usage, to identify patterns and trends. * Identify customer segments with high churn rates. * Identify the products and services that are most commonly churned. * Identify the channels that are most commonly churned from.

  • Customer survey

    * Conduct a customer survey to gather feedback on their experience with the postal banking products and services. * Ask customers about their reasons for churning (if applicable). * Ask customers for suggestions on how to improve the customer experience.

  • Statistical modeling

    * Use statistical modeling to identify the factors most strongly correlated with churn. * Develop a churn prediction model. * Use the churn prediction model to identify customers who are at high risk of churning.

  • Retention strategy

    * Develop a retention strategy that targets the factors identified in the customer behavior analysis and statistical modeling. * The retention strategy should include specific actions to reduce churn, such as: - Personalized onboarding for new customers - Targeted promotions for underutilized products and services - Improved customer service - Easier-to-use online banking platform

  • Implementation plan

    * Develop a plan for implementing the retention strategy. * The implementation plan should include timelines, resources, and success metrics.

  • Churn rate reduction

    * Implement the retention strategy and track the results. * The goal is to reduce the churn rate by 50% within six months of implementing the strategy.


Skills and tools

Product Manager
Product Analyst
Product Strategist
Airtable
Google BigQuery
Google Docs
Microsoft Power BI
Python

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STARTING AT

$2,000

fixed rate, 2 months