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DQE One: Data Quality Platform logo

DQE One: Data Quality Platform

Develop by Shopify
Free plan available

"Validate and streamline data input, enhancing user experience and conversion."

Conversion optimization
Fraud prevention
Error elimination
Data validation
Form auto-completion

About DQE One: Data Quality Platform

Launched Jul 10, 2025

Categories

Built by Shopify

Address

165 Thai Ha, Dong Da, Hà Nội, 100000, VN

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Introduction Video

Description

Improve your data collection: better forms with email, phone and postal address validation.

The DQE connector checks the accuracy of user-provided information in forms (email, phone number, address, etc.) and eliminates common errors (typos, incomplete data, etc.). By implementing these auto-completion modules on your website, users can fill out forms with just a few keystrokes, reach the final step of the checkout process faster, and reduce cart abandonment.

The DQE connector checks the accuracy of user-provided information in forms (email, phone number, address, etc.) and eliminates common errors (typos, incomplete data, etc.). By implementing these auto-completion modules on your website, users can fill out forms with just a few keystrokes, reach the final step of the checkout process faster, and reduce cart abandonment. more
  • Streamline form filling to boost your conversion rate.
  • Improve customer data quality for marketingcampaigns, CRM, and deliveries.
  • Reduce shipping costs and returns with accurate addresses.
  • Prevent fraud by verifying emails, phones, and addresses.

Pros

  • Enhances user experience by reducing errors in form inputs.
  • Speeds up the checkout process, reducing cart abandonment.
  • Improves data quality for marketing campaigns, CRM, and deliveries.
  • Helps prevent fraud by verifying contact information.
  • Reduces shipping costs and returns with accurate address verification.

Cons

  • Requires initial setup and integration into the existing system.
  • May cause dependence on the platform for data validation tasks.
  • Potential concerns about data privacy and handling during validation.

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