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Welcome To Cold Email HQ
We’re thrilled to have you here. This community was built for one reason: to bring together the most ambitious operators, founders, and sales leaders who want to master professional outbound. Powered by the teams at ScaledMail and Beanstalk Consulting, this is a living, breathing playbook for what’s working now in cold email and revenue generation. Forget outdated tactics and generic advice; this is a space for deep, practical discussions on deliverability, data, messaging, and conversion, all grounded in real-world results. To get started, please post a quick introduction in the community feed—let us know who you are, what you’re working on, and what you hope to achieve with your outbound efforts. Next, head over to the “Classroom” tab to get free access to our comprehensive Cold Email Mastery Course. It’s packed with the latest strategies we use every day to generate predictable pipeline. If you have questions or want to dive into specific topics, the community discussion area is your go-to resource for expert answers and peer feedback. This is a community of practice, and its value comes from the collective knowledge of its members. We encourage you to be generous with your insights, ask thoughtful questions, and share both your wins and your challenges. The more you contribute, the more everyone learns. We’re excited to see what you build and to support you in turning your outbound efforts into a reliable, scalable revenue engine. Let’s get to work.
Looking for Email Marketer
I'm looking for email marketer for cold emailing ASAP
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Domain Masking Question
For the primary domain we type in on the new masking feature. Is there a risk of this domain reputation being hurt?
Are my metrics good or not?
Hey guys, I sent a campaign to 10800 leads. I got 14 positive replies. Is this good/okay/bad? Kindly let me know
Built a Python pipeline that enriches local leads with live IG/FB pages and verified emails. Free 100 Detroit Sample inside.
Hey everyone, I got tired of buying generic B2B databases that are full of dead websites, missing social links, and 40% email bounce rates. To solve this, I spent the last few weeks building a custom Python script that takes raw location inputs, cross-references active digital footprints, and extracts clean data. To prove the pipeline works, I just ran a clean script for Detroit, MI and filtered out all the rows missing core contact info. Here is a completely free, unrestricted sample of ~100 deeply enriched local companies split across: 🛡️ Security & IT Services 🎨 Design & Creative Studios 👕 Retail & Apparel Brands 🚗 Automotive Services & Hospitality Every single row includes: Business Name, Website, Phone, Verified Email, and direct links to their active Facebook or Instagram pages so you can run multi-touch cold email + social DM sequences. 👉 https://docs.google.com/spreadsheets/d/1L5ygv7O5A_qNhD00fZjiXGap8OlF_54d_BXEXLcycRI/edit?usp=sharing Looking for feedback: If you are an agency owner or lead-gen rep, take a look at the data quality and let me know what you think. P.S. If you want a custom list engineered specifically for your agency's target niche and city, drop a comment below
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ScaledMail - B2B Cold Email
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a group for what's working now in cold email including our B2B Cold Email Course. Powered by the teams behind ScaledMail and Beanstalk Consulting.
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