AI-powered email marketing platform that automates personalized outreach, warms up accounts, and tracks revenue from campaigns.
XMagnet is an AI-powered email marketing platform built for sales and marketing teams who want to send smarter emails and track real revenue. It bundles AI email writing, automated account warmup, deliverability monitoring, drip campaigns, contact enrichment, and revenue analytics into one tool. Its built-in AI assistant, Dottie, lets you create campaigns, write copy, and analyze performance through a natural language chat interface. XMagnet is designed for entrepreneurs and small to medium-sized businesses looking to optimize outreach and improve conversion rates.
XMagnet is an AI-powered email marketing platform that combines email writing, deliverability tools, drip campaigns, contact enrichment, and revenue analytics. It includes an AI assistant called Dottie that helps you build and optimize campaigns through natural language chat.
Yes. XMagnet offers a free plan that includes 50 one-time credits, 1,000 emails per month, up to 2,000 contacts, and 1 connected mailbox. No credit card is required to start.
Dottie is XMagnet's built-in AI assistant. You can chat with Dottie in plain language to write emails, create campaign sequences, analyze performance, and get optimization suggestions. It can also write in your brand voice and optimize send times per recipient.
Yes. XMagnet includes automatic email account warmup, sender reputation monitoring, and spam score checks. These tools help ensure your emails reach the inbox rather than the spam folder.
TrustLayer is a planned feature currently on XMagnet’s roadmap. It is designed as a trust verification system that helps identify credible senders and build sender reputation scores. It has not been released yet.
Yes. You can connect your Gmail or Outlook mailbox to send campaigns directly from your own email address.
Yes. XMagnet provides a REST API for contact enrichment, email validation, and credit management, with full documentation available in their API reference.
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