/

Messaging

Personalised Copy

How we write emails that speak directly to each prospect's situation so they feel researched, relevant, and worth replying to.

Most cold emails fail for the same reason. They are written for a job title, not a person. The prospect reads it and immediately knows it was sent to hundreds of people who share their role. That recognition kills the reply before it starts.

Personalised copy is how we fix that. Every email we write is built around something specific and real about the person receiving it, their company, their situation, or the moment they are in right now.

What personalisation actually means

Personalisation does not mean adding a first name to the subject line. That has been standard practice for so long that it signals automation rather than effort.

Real personalisation means the email contains something that could only apply to that specific person. A reference to a recent company announcement. A hiring pattern that signals a specific challenge. A technology change that suggests a shift in priorities. Something that tells the reader you actually looked.

That kind of personalisation cannot be faked at scale without a system behind it. Building that system is what we do.

Where the personalisation data comes from

Before we write a single email we pull together a personalisation layer for every contact on the active list.

This includes information about the company such as recent funding activity, new hires in relevant roles, technology stack changes, and any public announcements from the past 90 days. It also includes information about the individual contact such as their tenure in the current role, their previous companies, any content they have published or been quoted in, and the intent signals associated with their account.

We source this data through our enrichment process using Clay, LinkedIn, Crunchbase, and several specialist providers depending on the market. The output is a research brief for each contact that our copywriters use to write the sequence.

How we write the emails

Every sequence is written from scratch by a human copywriter. We do not use templates with swapped tokens. We do not use AI to generate the body copy and call it done.

Here is the structure we follow for each email.

The subject line is written to earn an open without being misleading. We test multiple variants for every sequence and replace underperformers quickly.

The opener is where the personalisation lives. The first sentence references something specific to the prospect or their company. This is what makes the email feel different from every other cold email they received that day.

The body is short. We make one point clearly rather than trying to explain everything about your product in three paragraphs. The goal is to earn a reply, not to close the deal.

The call to action is specific and low friction. We do not ask for 45 minutes on a calendar in the first email. We ask a question, suggest a short call, or offer something relevant. The easier the next step feels, the more likely someone is to take it.

How copy varies by persona

Each persona in your buying committee gets a different version of the sequence. The message written for a VP of Sales focuses on pipeline and quota. The message written for a Head of Operations focuses on efficiency and process. The message written for a CEO focuses on growth and strategic outcomes.

Same product, same core value proposition, different angle for each person based on what they actually care about.

This is covered in the Sequence Building article in more detail, but the short version is that we never send the same email to different personas and expect the same result.

How copy improves over time

The first version of any sequence is a strong starting point, not a finished product. Once it is live we use performance data to improve it.

Subject lines with low open rates get replaced. Openers that generate opens but no replies get rewritten. CTAs that consistently produce the wrong kind of response get adjusted. Every two weeks the copy gets a pass based on what the data is showing.

By the end of the first 90 days the sequences performing on your account have been tested, refined, and improved multiple times. That is when they are at their best.

FAQ

Do you use AI to write the copy?

We use AI as a research and synthesis tool to build the personalisation brief for each contact. The actual email copy is written by a human copywriter who understands your market, your buyer, and your offer. The combination produces emails that are both personalised at scale and genuinely well written.

How do you personalise at scale without it becoming generic?

The personalisation layer is built programmatically using enrichment data, but the copy itself is written around the patterns within that data rather than just injecting tokens. When a segment of your list shares a common signal, such as all being companies that recently raised funding, the copy is written to speak directly to that shared situation rather than to each individual contact independently. It scales because the insight is real, not because the name was swapped.

What if a prospect replies negatively?

All replies are managed as part of the campaign. Negative replies get logged, the contact is added to the suppression list, and we review whether the message angle contributed to the response. If a particular opener is generating a pattern of negative replies we adjust it before the next send cycle.