AI solutions for invalid email addresses

Stop chasing bounce rates: ZeroBounce API + n8n = 97% deliverability Most teams play defense with deliverability: Warming inboxes. Buying “verified” lists. Hoping the bounce rate stays low. But hope isn’t a strategy. We flipped it into an automated, pre-send validation system that gives us 97% deliverability without manual checks. Here’s the simple 3-step stack we use 👇 1) Webhook Trigger (n8n) Every new lead or uploaded CSV triggers an n8n workflow before it enters any outbound sequence. No SDR has to touch a file. 2) ZeroBounce Email Validation API The workflow calls ZeroBounce’s API: ▪️Verifies email validity (deliverable / undeliverable / risky) ▪️Detects abuse, spam traps, disposable domains ▪️Returns clean metadata on each contact Invalids? Dropped automatically. Risky? Routed to a re-engagement list. 3) Auto-Sync Clean Leads Clean contacts are sent straight to Smartlead / Instantly.ai / HubSpot. Invalid contacts never hit a campaign. Bounce rate? Practically zero. Why This Works ▪️SDRs never waste time manually scrubbing lists ▪️Bounce-induced domain penalties disappear ▪️Sequences launch faster and safer ▪️Our sender reputation keeps improving month over month The results: ▪️97%+ deliverability across campaigns ▪️Domain warm-up time cut in half ▪️Reply rates improved by 18% (when your email lands, people reply) If you’re still playing catch-up with bounces, let the system handle it for you. We’ve packaged our n8n + ZeroBounce workflow JSON with setup docs. 👉 Comment “DELIVER” and I’ll share it.

Keeping Your Data Clean: The Advantages of Using Built-in semantic functions in Microsoft Fabric   Data quality is critical in any project, and ensuring its validity is essential. Microsoft Fabric's built-in semantic functions simplify this process. Some of the available Built-in functions are "is_holiday", "to_geopandas", "parse_phonenumber" and "validators" for email and credit card numbers.   The built-in email validator offers numerous advantages over manual verification or basic regex checks. Let's delve into the use cases and benefits of utilizing this powerful tool.   Advantages of Using Microsoft Fabric's Email Validator:   Accuracy: Leverages robust algorithms and regularly updated databases to ensure highly accurate validation, minimizing false positives and negatives. Efficiency: Automates the validation process, saving time and resources compared to manual checking or writing intricate regex patterns. Simplicity: Easy to integrate into your Fabric workflows using simple function calls, requiring minimal coding effort. Standardization: Ensures consistent formatting and adherence to email address standards, preventing confusion and improving data integrity. Scalability: Handles large volumes of data efficiently, making it suitable for enterprise-level applications. Flexibility: Validates against various email address formats, including international domains and special characters. Security: Protects against potential security vulnerabilities like email spoofing and phishing attacks by identifying invalid email addresses.   Beyond Accuracy: Additional Benefits:   Improved user experience: Real-time feedback during form submissions helps users correct invalid entries immediately. Reduced bounce rates: Clean email lists lead to higher deliverability rates for email marketing campaigns. Enhanced data analysis: Ensures the quality and reliability of data used for analysis and decision-making. Compliance with regulations: Certain industries have regulations regarding data accuracy, and email validation helps ensure compliance.   In Conclusion:   Microsoft Fabric's built-in email validator is a valuable tool for anyone working with email addresses. Its accuracy, efficiency, and ease of use make it an essential component for maintaining data quality, improving user experience, and ensuring successful communication and marketing efforts. By incorporating this powerful tool into your workflows, you can streamline your processes, boost data integrity, and achieve better results.   See attached media showcasing email validation   #microsoft #fabric #semantic #dataframe #dataquality #validator

🙋🏻♀️ Raise your hand if one of these "leads" exist in your CRM today 🪁 Benjamin Franklin 🐰 Easter Bunny 🎅🏼 Santa Claus Or maybe you have a bunch of "leads" from 🔤 ABC Company 🔢 123 Inc 🚮 Gibberish Corp 🤦🏻♀️ Uh, yeah, we have all been there. Right? When it comes to filling out a form, it's a delicate balance We need enough information to be meaningful ✅ But we know when we require fields, we'll get garbage data ❌ And then, we, as RevOps professionals, are left to clean up the data But what if we could leverage AI to help us differentiate between high quality data and gibberish BEFORE the data enters our CRM? I just saw a video with a very cool use case with AI for lead enrichment, clean up, and routing. And even better, it has to do with Santa Claus. Because we want Santa to bring us gifts, but not pollute our CRM! Traction Complete's Leads functionality leverages AI to simply create a flag that says ... "Decide if this record is valid or invalid. Invalid if any are true: gibberish text, placeholder or repeated words like test; first and last name identical or repetitive; missing or nonsense job title; generic company names like ABC Corp, Example Corp, Test Company; disposable or malformed email domain like mailinator or yopmail; incomplete or nonsense address; fake or non-TLD website; name matches well-known fictional character or historic figure no longer alive." And... 🥁 🥁 🥁... Santa Claus was found to be Invalid with the reason of "well-known fictional character" Sorry, Santa. You're out. Complete Leads in. If you're looking for a cool way to incorporate AI into your RevOps process, you just found it. Watch the full video: https://lnkd.in/gmpn2Ykm #revops #ai