Cold Email Starts With Who You Send To, Not What You Write

Cold email is an unsolicited first message to someone who has not asked to hear from you, sent because something about their business suggests they might want to. For an agency selling to ecommerce stores, the hard part is not the writing. It is deciding which stores go on the list, and why this week rather than last.

The disclosure first. We build Keaz Signals, which sells buying signals and contacts for ecommerce outreach. We are an interested party in any argument that the list matters more than the copy, because the list is what we sell. Read this with that in mind. We have tried to write it so the argument survives the disclosure rather than needing it hidden.

This is the pillar for everything else we have written about cold email. It deliberately does not repeat the six posts underneath it — subject lines, templates, follow-up timing, tooling, where outreach starts, and the decisions inside a campaign each have their own page. This one covers the framing they share, and says plainly where the whole approach fails.

The phrase means two unrelated things, and the search results show it. We pulled the live United States results for the term on 20 September 2026. Position one was an AI Overview answering the query completely above the fold. Organic one was a Reddit thread, organic two Wikipedia, and organic six an Indeed guide titled "How To Write Effective Cold Emails for Jobs".

Related searches on the same page included cold email to professor, cold email internship and cold email for job. A large share of the demand behind the term is a student or a job-seeker writing to a stranger. The rest is business-to-business outreach. Google Ads reported 3,600 searches a month in the United States at a cost per click of $46.92, retrieved the same day — one number averaging two audiences who have nothing in common.

This is worth knowing because it explains why most cold email advice reads as generic. A page that has to serve both readers can only say what is true of both: be short, be specific, make one ask. That advice is correct and it is not enough. This page serves one of them — an agency or software company selling to ecommerce stores — and ignores the other entirely.

Who you send to sets the ceiling on a cold email programme because the receiving side measures recipient behaviour, not your intentions. Google tells senders to keep spam rates reported in Postmaster Tools below 0.10% and to avoid ever reaching 0.30% or higher (retrieved 21 September 2026). That rate is produced by recipients pressing a button.

The same guidelines are blunt about the input. They say not to send messages to people who did not sign up to get messages from you, because those recipients might mark the messages as spam and future messages to them will be marked as spam. And, a line later in the same list: do not purchase email addresses from other companies.

We sell contacts, so we are not going to pretend that line is not about us. Two things are worth separating. Gmail is describing what happens to a sender's reputation, not issuing a legal ruling. And the mechanism it describes is real regardless of who supplied the addresses: uninterested recipients complain, complaints accumulate against your domain, delivery degrades. That is a structural point about how the system works, not a claim about anyone's compliance.

What follows from it is narrow. The only variable a cold sender controls is whether the message is relevant enough that the recipient does not reach for that button. Volume cannot fix that. Copy cannot fix it past a point. The list can. We are GDPR-conscious by design and will not claim more than that; responsibility for what you send stays with you, including the decision to send at all.

A buying signal changes the who decision by replacing a standing description of a good-fit store with a dated observation about a specific one. "Shopify stores in Germany doing over a million a year" is a segment, and it is equally true in March and in October. "This store started running Meta ads for the first time in six weeks" is true this week, and it gives the message a reason to exist that the recipient can recognise.

What we watch, concretely. As of September 2026 we cover 4.1 million Shopify and WooCommerce stores across Europe and North America, re-scraped weekly, with roughly 41,200 carrying a fresh signal in the last seven days. Those are our own figures and they move, which is why they carry a date. The signals themselves are new Meta ads, a rising ad count, a product launch, an email marketing tool installed, social growth, newsletter activity and store changes — the buying signal catalogue lists each one and what it does and does not tell you.

The practical difference is what the first line of the email can be about. A segment gives you a description of the recipient, which they already know. A signal gives you something that happened to them recently, which is more specific and, more usefully, time-bound. It tells you when to send, not only whom to send to. Every decision further down the campaign inherits that.

Once the list is chosen, the rest of the campaign is a series of smaller decisions, and each has its own page rather than a paragraph here. Summarising them into a pillar would put two of our own pages on the same results page, which helps nobody.

• Where outreach starts at all: cold outreach that starts from the storefront
• The shape of the campaign: the four decisions inside email outreach
• The tooling: why cold email software is not a lead source

Each decision gets easier when the one above it was made on evidence.

A signal-led list is the wrong purchase whenever the sending itself is broken. If messages are bouncing, being deferred, or failing authentication, better targeting changes nothing. Fix the configuration, the reputation and the pacing first, and come back afterwards. Buying a better list to solve a DNS problem is paying for the wrong layer.

Where we lose, plainly. We do not export: leads move into campaigns and stay there, which for some teams is a dealbreaker and should be. There are no LinkedIn signals and no LinkedIn sending, and none are planned. We watch Shopify and WooCommerce stores in Europe and North America and nothing else — no other platform, no other market. Registry, firmographic and hiring triggers are marked planned on our own site, which means they do not exist yet.

We also sell no domains, mailboxes, SMTP, warmup pool or sequence engine. Sending runs through Instantly, in your own workspace and on your own domains, so the reputation you build stays yours and so does the responsibility for it. And if your buyers are not ecommerce stores, none of this applies. A cold email programme aimed at enterprise IT is a different problem needing different evidence, and we would be the wrong supplier for it.

We are not going to give you a reply rate, an open rate, or a benchmark table for cold email. We have not measured one across a population large enough to mean anything, and a number invented for a pillar page outlives every caveat attached to it. The refusal is the point rather than an aside.

There is also a specific reason to distrust the open-rate figures you will find elsewhere. Google states plainly that it does not track open rates, that it cannot verify the accuracy of open rates reported by third parties, and that low open rates are not necessarily an accurate indicator of deliverability or spam classification issues (retrieved 21 September 2026). An industry average assembled from tracking pixels is measuring something other than what it claims to measure.

Nor will we tell you how much a signal-led list improves any of those numbers. That is the claim this page comes closest to being able to make, and it is precisely the one we cannot. Testing it honestly would take the same team, the same offer, the same domains and the same week with one variable changed, and we have not run that experiment. We make no deliverability or reply-rate promises of any kind, and we will not repeat anyone else's coverage or accuracy figures without their own published, dated source.

Start by deciding whether your problem is the list or the sending, because the fixes differ and doing the wrong one costs a quarter. If messages arrive and nothing happens, it is the list. If they do not arrive, it is not.

When you reach the writing, three pages cover it: subject lines from a signal, one template per signal, and signal-timed follow-up. If it is the list, the ecommerce leads database is where stores arrive with contacts and a dated signal saying why now. Signup includes 1,000 free leads. Access is capped per market.

• Email sender guidelines, Gmail Help — the 0.10% and 0.30% Postmaster Tools spam-rate thresholds, the guidance against sending to people who did not sign up and against purchasing email addresses from other companies, and the statements that Google does not track open rates and cannot verify third-party open rates, retrieved 21 September 2026
• Live Google organic results for the query cold email, United States, English, observed 20 September 2026 — AI Overview at position one; Reddit, Wikipedia and an Indeed guide to cold emails for jobs inside the top ten; job-seeker related searches. Our own observation; a results page has no stable URL to link
• Google Ads search volume and cost per click for cold email, United States, English, retrieved 20 September 2026 — 3,600 searches a month at $46.92
• Keaz Signals store coverage and weekly signal counts — our own figures, as of September 2026