Incorrect data entry leads to inaccurate customer analysis, duplicate customer records, and returned mail. Retailers who prioritize customer data verification at the point of capture reduce the occurrence of these issues and increase results within larger strategic initiatives.
Verification improves customer data management, and improved data ultimately improves the bottom line.
Customer data errors are prevalent across all channels. Errors may result from a misunderstanding, mistyping, or even fraud. Customer data verification works seamlessly within each retailer's workflow so that customer data quality is improved without having to change entire retail systems.
Validation occurs during the data entry process so that customers are prompted to resolve any incorrect or incomplete information before the order is finalized and the customer engagement is lost.
This allows customers to easily input accurate data without additional effort, ultimately providing you with the information you need for the best customer data analysis.
Enhance customer profiling and targeting efforts
Enable more relevant marketing and loyalty programs
Reduce operational costs and staff inefficiencies
Improve contact data management, leading to a reduction in both errors and address duplication
|Address verification||Address verification reduces returned mail, streamlines operations, enhances customer profiling, and improves targeted marketing efforts.|
|Email verification||Email verification ensures deliverability and inbox placement and enhances email campaign performance.|
|Duplicate identification||Duplicate identification software ensures that retailers maintain a single customer view despite disparate databases, customer data errors, and other factors. This results in simpler and more efficient customer data management.|
|Data enhancement||Individualized consumer insight is available for retailers who prioritize real-time customer data analysis for customer intelligence, marketing offers, and website advertisements.
of retailers see a return on investment from their data quality solutions
of retailers state that data quality issues negatively impact consumer trust and perception
of retailers say that they rely on educated guesses or gut feelings to make decisions based on their data
of retailers have a data management project planned in the next 12 months
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