What 10 Million Cold Emails Reveal About Selling
Austin Schneider sent 10M cold emails and found 6 patterns that actually drive replies. Here's what globally-minded sellers need to know—and where the framework breaks.
Written by AI. Raj Mehta

Photo: AI. Hayden Cross
Austin Schneider, a marketer associated with the cold outreach platform Instantly.ai, recently published a YouTube video distilling what he learned from sending over 10 million cold emails across dozens of niches. The number is large enough to generate patterns, and the framework he outlines is genuinely useful — but it also tells you something interesting about where cold email works, for whom it works, and what happens when you try to export these tactics beyond the market they were built for.
The six-point framework covers: list quality, deliverability infrastructure, relevance over personalization, email brevity, follow-up sequences, and offer construction. None of these ideas are new individually. What's useful is Schneider's sequencing of them — and the core argument he makes about where people are looking for their problems in the wrong place.
The list is doing the work your copy gets credit for
The most transferable insight in the video is also the one that most contradicts how people actually behave when their campaigns underperform. Schneider is direct about it: "The email isn't doing most of the work. The list is. A mediocre email sent to a well-built list will outperform a great email sent to a bad list. Every single time this pans out, and it is not even close."
This is the kind of observation that sounds obvious until you watch someone spend three weeks A/B testing subject lines on a list of vaguely relevant contacts they pulled from a directory scrape. The impulse is understandable — the email is the visible, editable artifact. The list feels like infrastructure, something you set up once and move past. Schneider's argument is that this inversion in attention is precisely what keeps most cold outreach mediocre.
A well-built list, in his framing, is narrow enough that a single email speaks authentically to everyone on it. Not personalized in the "congrats on your funding round" sense — he's fairly dismissive of that approach, noting that prospects have now seen enough of those openers to recognize the formula immediately — but relevant, meaning the email lands in the context of a problem the recipient actually has, framed in the language they use to think about it.
The distinction between relevance and personalization is worth sitting with. Personalization, as it's typically practiced in outreach, is cosmetic — a scraped LinkedIn detail stitched to a generic pitch. Relevance is structural. It requires that you've segmented your list tightly enough that the framing of your email is actually accurate for everyone who receives it. Schneider puts it this way: "You need to send the right email to the right person about the right problem. That is relevance at scale."
The infrastructure nobody wants to talk about
Deliverability — the mechanics of whether your email actually reaches an inbox — is where Schneider spends significant time, and it's genuinely the part most people skip because it involves no creativity and rewards no visible effort until something goes wrong.
The basics: separate sending domains from your primary brand domain, set up SPF, DKIM, and DMARC authentication records correctly, warm new domains for a minimum of two weeks before sending any cold outreach, and cap volume at around 30 to 40 emails per day per inbox. Miss any of these, and you're building a reputation problem that compounds invisibly. "You don't get a notification saying, 'Hey, half of your emails went to spam,'" Schneider notes. By the time you notice the signal, the domain is already compromised.
This is sound technical advice, and if you're operating in the U.S. market under CAN-SPAM — which, notably, does not require opt-in consent and places the compliance burden largely on providing easy opt-out mechanisms — this infrastructure is largely sufficient. The picture shifts substantially the moment you're sending into the EU, UK, or markets with comparable data protection frameworks. Under GDPR, cold B2B email occupies genuinely contested legal territory. The "legitimate interests" basis that many practitioners rely on has been interpreted inconsistently across member states, and enforcement has been uneven but not absent. This is not a niche concern for large enterprises — it's a real friction point for any founder using Schneider's playbook to reach European buyers.
The asymmetry matters because the cold email infrastructure Schneider describes — multiple sending domains, high-volume warm-up, automated sequencing — was built for and largely validated in the U.S. market. That market has the most permissive legal environment for this kind of outreach and, arguably, the highest tolerance among buyers for receiving it. Export the tactics without adjusting for regulatory context, and the deliverability problem you face isn't just technical.
The offer problem is actually a pricing problem
The sixth and most structurally interesting element of Schneider's framework is his argument that "the offer is the ceiling, copy is just polish." Results stall, he observes, and sellers respond by optimizing the email — new subject line, new opener, new sequence — when the actual problem is that the thing the email is selling isn't compelling enough to say yes to.
He gives a clean example: one agency emails prospects with "I help businesses grow their revenue through paid ads. Want to hop on a call?" Another emails "I'll build out three ads and copy to go with them that you could run this week at no cost. Want me to send them over?" The second wins, Schneider argues, because it's specific, low-friction, and gives the prospect something real before asking for anything in return.
What Schneider frames as a messaging problem is, at a deeper level, a market pricing problem. The offer that fails — the call request, the vague value proposition — fails because sellers have priced their first interaction at a level the market won't bear. The buyer is being asked to spend time, attention, and potential awkwardness on an unknown quantity. The offer that works effectively lowers the cost of entry — it makes the first yes cheap enough that the asymmetry between risk and reward shifts in the buyer's favor.
This dynamic shows up everywhere in B2B services and consulting markets, and it maps directly onto why so many outbound campaigns from emerging market founders trying to break into Western sales channels stall out early. The problem isn't usually the email. It's that the offer hasn't been priced for a market where the buyer has no prior exposure to the seller's reputation, no warm referral, and no ambient trust in the brand. Under those conditions, "let's get on a call" is a very expensive ask. A free deliverable — a built landing page, a working ad, a short audit — changes the conversion economics entirely. It's the same logic behind why development finance institutions spend years doing concessional lending before private capital follows: someone has to absorb the first-mover risk to demonstrate that the return is real.
What the data can and can't tell you
Schneider claims, drawing on campaigns run through Instantly.ai, that within those campaigns the majority of positive replies came not from the first email but from the second and third touches. This is worth flagging as platform-specific data, not an industry-wide finding — response rate distributions vary significantly by sector, list quality, and offer type. What it does suggest, credibly, is that a follow-up strategy built on "just bumping this to the top of your inbox" is leaving value on the table. A genuine follow-up, in Schneider's framing, reframes the original offer from a new angle — a relevant case study, a different articulation of the problem — rather than simply re-asserting the first email's existence.
That principle generalizes cleanly across markets. The follow-up that works is the one that treats the non-response as information and adjusts accordingly, not the one that assumes the prospect forgot.
The limit of the framework
Here is the tension Schneider doesn't address, and it's one that matters most to operators working outside the U.S. or trying to reach buyers in markets where cold outreach carries different cultural weight: the entire framework assumes that the buyer's default relationship with unsolicited email is neutral-to-tolerant, and that the seller's job is to be relevant enough to convert that tolerance into a reply. In markets where that default is different — where unsolicited contact reads as low-status, where relationship and referral networks are the legitimate path to a conversation, where the regulatory environment makes this kind of outreach genuinely risky — optimizing your list and tightening your offer gets you further down the right road, but it may not be the right road.
The question a globally-minded founder should ask before applying Schneider's framework isn't whether the six points are sound — they are — but whether cold email is the correct channel for the market they're trying to reach. The infrastructure exists. The tactics are real. Whether they travel is a separate question entirely.
By Raj Mehta, Global Markets & International Finance Reporter
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