Optimize e-banking experienceAndino Inyang
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.
Andino's other services
Contact for pricing
Tags
Airtable
Google BigQuery
Google Docs
Microsoft Power BI
Python
Product Analyst
Product Manager
Product Strategist
Service provided by
Andino Inyang London, UK
Optimize e-banking experienceAndino Inyang
Contact for pricing
Tags
Airtable
Google BigQuery
Google Docs
Microsoft Power BI
Python
Product Analyst
Product Manager
Product Strategist
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.
Andino's other services
Contact for pricing