What are your thoughts about using an AI email autoresponder to respond instantly to all interested replies? Sometimes you're sleeping. You mentioned it's best to reply within 5 minutes. I don't think this is a good usage of resources to be honest unless you are always sleeping. Like sure, if the alternative is not responding at all or responding after five hours, for sure. But if the alternative is you actually just getting the notification, responding yourself, then you should do that.
Like dude, there's nothing more valuable in life or business than leads. Leads that respond positively to a cold email offer are literally like money—or at least very translatable to money. It's like currency conversion; they're like Swedish franks or whatever, and you need to convert them into US dollars. They're very, very close to US dollars. All you need to do is just respond yourself. So when you have this gift horse, don't look it in the mouth—just take it and respond to it.
First, revisit your cold‑email fundamentals. Make sure your emails actually land in the inbox, get opened, and are compelling enough to earn a reply. Test deliverability, subject lines, and copy. A good cold‑email sequence should: 1) land in the primary inbox, 2) achieve a decent open rate, 3) get clicks, and 4) provoke a reply. If you’re not seeing any replies, you likely have a problem at one of those earlier steps. Start by creating a simple campaign that feels personal—e.g., “Hey [Name], how’s it going? I’m working on …”—and iterate until you see engagement. Once you have a working email framework, you can begin gathering case studies by offering free or low‑cost pilots, which will later strengthen your outreach.
You're probably doing something wrong — if that's 200 new leads a day (1,000 total over 5 days) with literally zero replies, positive or negative, something's broken, and it's overwhelmingly likely to be the copy. Start by adding yourself to the sequence and sending it to yourself to catch anything obviously wrong (broken HTML, stripped line breaks, ugly formatting). Then dig into what's putting people off in the subject line, teaser, and body — I have a full copywriting walkthrough in my 'watch me start and sell an AI service' video, including a 4-step email framework (essentially: not spam, who are you, why should they care, and what happens next). Work through that, make changes, send the next thousand, and see if the reply rate moves before assuming patience alone will fix it.
Either way, my recommendation is to containerize your entire offer into an ongoing service where the client pays you a set amount and you return a booked‑meeting package. This is essentially lead generation, not just handing over an AI automation system. Clients often don’t know how to turn an opportunity into a lead or appreciate the value of leads, so they need you to build the system for them. You can take the cold‑email templates and systems you already use to acquire clients and duplicate them for the client—highly leveraged, scalable, and you can add AI‑based auto‑reply features. Containerizing means bundling all the steps (Apollo search, lead scraping, Google Drive upload, etc.) into a single service where the client only sees the money‑in, money‑out exchange and a multiple on their investment. Many agencies discover this approach organically; it’s worth systematizing.
Ideally, shift your schedule back 6‑9 hours to match US prospects, but that’s often impractical due to personal life. A practical workaround: enable pass‑through notifications for positive replies received between 9 am–5 pm your time; when you get one, immediately record and send a short Loom video within 5 minutes. If the reply comes outside that window, use AI to pull a personalized template, insert prospect‑specific details, and send a quick acknowledgment (e.g., ‘Hey Leo, thanks for getting back to me—I’m putting this together for you and will have everything ready in the next X hours’). While not perfect, this balances speed and personalization; the ideal fix would be relocating to the US or never sleeping, which isn’t realistic.