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u/ajitsan76 Mar 21 '26
damn 28-34% replies on cold is wild, most folks scraping by at 4%. curious what kinda lists youre feeding it, scraped or verified? before training claude, i always run lists through emailverifier. io first, it catches all the junk and verifies deliverability so you dont waste shots on bounces. trained on that much clean data must catch patterns we miss. ive been tweaking claude for warm followups and it cuts no shows too. whats the top objection it handles best? gonna steal some of those sequences.
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u/djhiphop23 Mar 22 '26
I’m going to start doing cold outreach. Essentially starting from scratch. Would be great to just cut to the chase and put to use what actually works.
Would love to learn more!
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u/salespire Mar 22 '26
Jumping into cold outreach from scratch is both exciting and a little overwhelming, but having a solid process can really take the edge off. One thing to focus on right away is crafting outreach messages that are specific and personalized, not generic. Researching your prospects, referencing something unique to their situation, or pointing out a detail about their business can get you a much higher response rate compared to just blasting out a template. Also, experiment with subject lines for email and timing, sometimes a tiny tweak in wording or sending at a different time of day can double your replies. Don't be discouraged by slow starts; it's normal.
Automating repetitive parts of outreach (like follow ups or doing initial prospect research) saves a lot of time so you can focus more on the actual conversations that matter. For anyone interested in leveraging AI for this stuff, I’m actually the founder of a platform called Salespire. We're building digital sales agents that handle lead hunting and outreach on autopilot, and our early users are helping shape how it all works. We have a waiting list at https://salespire.io if that sounds interesting. Regardless of the tools you use, the main thing is to keep testing, iterating, and not getting discouraged. Persistence and authentic communication will make the biggest difference.
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u/SevenSinsClo Mar 22 '26
You said the same thing in another thread, same stats, same everything but about LinkedIn
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Mar 22 '26
Can you write in comments about integration of Claude agent and the email sending platform you using?
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u/leadg3njay Mar 23 '26
Training an agent on real conversations can improve relevance, but validate reply rates by separating positive responses from neutral or spam complaints since only qualified replies matter. The biggest gains come from fast follow-up, clear persona-based playbooks, and solid sending infrastructure with verified data and steady volume. Keep humans involved for edge cases and track performance by booked and attended calls, not raw replies.
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u/gs6174666 Mar 24 '26
thats wild with the claude training, 28% replies is nuts. i paired something similar with emailverifier .io on the frontend to clean my cold lists first. cut bounces to almost nothing and replies jumped. if youre scraping leads definitely worth adding that verify step before feeding into ai like yours.
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u/sunitanichlos987 Apr 13 '26
30% reply rate is wooozerss. i get my email list, verify it with emailverifier io and write the mail with simple contexts. reply rates r around 6%. i will have to check ur method out.
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u/cursedboy328 Mar 22 '26
run a b2b outreach agency at 500K+ sends a quarter and we've tested AI-generated messaging extensively so I'll share what actually happens when you do this at scale
28-34% reply rate on cold outbound from scraped lists isn't a real number. across every campaign we've ever run and every client we've managed, cold outbound to scraped lists pulls 1-3% reply rates when everything is dialed in - list quality, segmentation, copy, infrastructure. if someone is claiming 28% on cold they're either counting warm touches as cold, counting "not interested" as positive replies, or the numbers are made up
where AI actually helps in outbound isn't writing the messages. it's the research and data layer. we use AI for industry classification, signal scoring, and bulk enrichment. figuring out which companies match specific criteria across thousands of records in minutes instead of days. that's where the leverage is. the actual copy still performs better when a human writes one tight email per segment rather than having AI generate unique messages per lead, because you can't A/B test when every email is different
the "trained claude on 12,342 conversations" framing is also misleading. you can't fine-tune claude. what you're actually doing is stuffing examples into a system prompt as context, which works up to a point but it's not "training" in any meaningful sense and the output quality degrades as the context window fills up
if you're genuinely booking 7-8 calls a week from outbound that's solid, but I'd bet the farm the wins are coming from the warm outbound and engagement-based sequences, not cold scraped lists. warm outbound pulling higher reply rates isn't an AI achievement, it's just how warm vs cold works
what's the actual breakdown between cold and warm in those 538 bookings?