Digital Commerce Data Validation Services

A clear and precise database not only allows effortless promotion of your product or service to potential customers, regular checkups and updating of databases also avoid data duplication, maximizing productivity. Maintaining an authentic database is also crucial for driving well-targeted marketing activities.

Validation is an important step in detecting how much corrupted your database is. To speed up your campaigns and to hit the inboxes of the right prospects, it's very crucial to keep your databases well maintained. However, validating a database can be resource intensive, expensive and a distraction from your core business goals.

Trust the experts, instead. e-Zest offers a multi-dimensional digital data validation process for all your databases. The process involves many layers of checks through different integrated solutions.

Email validation

We keep a record of the click details of the prospects across your email campaigns. In addition, we send also emails to the prospects to confirm if the details given by them are active. This ensures your campaigns reach the right prospects.

Telephone validation

Every prospect on your contact list is verified to ensure that their contact details are active and fit to use. Our professional SMS OTP integration services verify prospect details to ensure your contact list is updated at all times.

Social media validation

Our data experts help you validate your contacts’ social media handles and all social media platforms where you can run your marketing campaigns.

Database standardization and verification

This includes removal of redundant data. This is very crucial for maintaining the accuracy of customer information, including name, gender, mobile and home telephone numbers, address and residential or business identification.

Data cleansing services

We implement complete email validation and phone validation for your digital commerce business through our data cleansing services.

Write to us today at info@e-zest.com today to improve your data quality.