AtData’s SafeToSend Service Utilizes Machine Learning to Reduce Email Validation Unknown Rates

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Email verification and hygiene solutions provider AtData has unveiled an advancement that uses machine learning models to obtain a lower percentage of unverified email addresses. Dubbed SafeToSend, the AtData solution analyses roughly 2 billion monthly email activity signals across the firm’s network to develop its ML model that improves on traditional methods of email validation. By giving SafeToSend’s users greater certainty that emails will be delivered to viable addresses, the service enables companies to better connect with their customers. The refined system provides results with unprecedented accuracy, the company said, with clients seeing an average reduction in unknown email rates of 6% and up to 29%.

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Frequently Asked Questions (FAQs) Related to the Above News

What is AtData's SafeToSend service?

AtData's SafeToSend is an email verification and hygiene solution that utilizes machine learning models to reduce unknown email rates.

How does SafeToSend work?

SafeToSend analyses billions of monthly email activity signals across AtData's network to develop its machine learning model that improves on traditional methods of email validation.

What benefits does SafeToSend offer to its users?

SafeToSend provides greater certainty that emails will be delivered to viable addresses, enabling companies to better connect with their customers.

How accurate is SafeToSend's refined system?

According to AtData, the refined system provides unprecedented accuracy, with clients seeing an average reduction in unknown email rates of 6% and up to 29%.

What types of companies can benefit from using SafeToSend?

Any companies that rely on email marketing or communication with their customers can benefit from using SafeToSend to improve the deliverability of their messages.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Kunal Joshi
Kunal Joshi
Meet Kunal, our insightful writer and manager for the Machine Learning category. Kunal's expertise in machine learning algorithms and applications allows him to provide a deep understanding of this dynamic field. Through his articles, he explores the latest trends, algorithms, and real-world applications of machine learning, making it accessible to all.

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