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Doppelganger is a robust app designed to streamline customer account management by identifying and merging duplicate accounts. Whether duplicates arise from Point of Sale systems or customers using multiple email addresses, Doppelganger ensures accurate calculation of Customer Lifetime Value (CLV) by consolidating fragmented data into unified profiles. Businesses can benefit from linking accounts not only from individual customers but also from the same company, offering a clearer picture of a client company's total lifetime value. The app prioritizes privacy, allowing businesses to maintain full control over their customer data throughout the deduplication process. By facilitating cleaner and more organized customer data, Doppelganger enhances customer relationship management and boosts overall business efficiency. With its intuitive features to find, link, and merge duplicates, it is an essential tool for businesses aiming to optimize their data integrity and customer insights.
Merge duplicate accounts and get a better view of the actual Customer Lifetime Value.
Every shop has to deal with duplicate accounts. Whether it is from Point Of Sale sales with credit cards or from customers using multiple email addresses to place orders. As a result, your Customer Lifetime Value (CLV) is often way off.
With Doppelganger, you can find, link and merge duplicate accounts.
Also useful for linking accounts from the same company together to determine the Life Time Value of a client company.
Every shop has to deal with duplicate accounts. Whether it is from Point Of Sale sales with credit cards or from customers using multiple email addresses to place orders. As a result, your Customer Lifetime Value (CLV) is often way off.
With Doppelganger, you can find, link and merge duplicate accounts.
Also useful for linking accounts from the same company together to determine the Life Time Value of a client company.
more
Find duplicate accounts
Link duplicate accounts
Merge duplicate accounts
Privacy focused. You stay in control of your customer's data.