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Validate contact information and create customer records

What does this automation do?

This automation automatically validates contact information (such as email addresses and phone numbers) from a spreadsheet and creates new customer records in a customer relationship management (CRM) system. By automatically validating contact details, the automation ensures data accuracy and improves the quality of customer records.

Spreadsheet
Data Validation Service
CRM

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How does the implementation work?

Here is our 5-step process for turn-key automation:

  1. We assess your needs and verify that the automation does what you expect.
  2. We map out the systems you currently have in place, and identify any additional needs.
  3. We send you a proposal for implementation.
  4. We implement the automation.
  5. We provide documentation and training for the automation.
What processes this automates

Improve the quality of lead data collected offline

By validating contact information of leads collected from physical forms or events before entering them into the CRM, businesses can ensure higher data accuracy, leading to improved lead quality and more effective marketing and sales efforts.

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Streamline and enhance data accuracy during customer data migration

When migrating customer data from legacy systems or external sources stored in spreadsheets, this automation can automatically validate contact details, ensuring a cleaner and more reliable customer database in the new CRM system, reducing data-related errors and inconsistencies.

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Maintain high data integrity for customer contact information

Regularly validating customer contact information ensures that the CRM system contains up-to-date and accurate data, which is crucial for effective communication, personalized customer service, and compliance with data privacy regulations.

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Automate data cleansing processes for customer databases

By automating the validation of contact information, businesses can reduce the manual effort involved in data cleansing, freeing up resources and ensuring ongoing data quality improvements in their CRM system, leading to better data-driven decision-making.

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