HomeBlogLeadsA name in the message: when it helps and when it gives you away

A name in the message: when it helps and when it gives you away

Читать по-русски

How name substitution works, what an empty value does and why a name alone is not personalisation.

A name in the message: when it helps and when it gives you away

Substitution inserts the recipient's name or username into the text. An old trick that works less well than people assume.

Why a name alone is not enough

«John, hello! We offer promotion services» reads as a broadcast despite the name. A name does not make a message personal — it makes it a message with a name in it. What makes it personal is what comes next: why you are writing to them specifically.

What an empty value does

Some people have no name set and no username at all. Substitution then produces either a gap («, hello!») or technical debris. Either gives the mechanism away instantly.

So substitution needs a fallback — a neutral greeting, not an empty string. And that is the case to test: rare, but conspicuous.

What real personalisation looks like

  • Where you found them. «I saw your question in the letting chat» beats any name.
  • What their problem is. With a segmented list you can write to the segment rather than to everyone.
  • Nothing. An honest short message without a name beats a falsely personal one.

About segments

Different texts for different groups outperform one text with substitutions — segmentation.

When a name belongs

When you actually know the person or they left a request. In cold outreach a name is decoration that more often gets in the way.

How Neurogram does this

Everything above is manual work that runs into the number of hours in a day. Neurogram does it on your own accounts and without you: it collects channels and audiences, writes comments and replies with a language model, and keeps limits and quiet hours so the accounts survive. See pricing or look at your case.

Topic: Leads

More on this topic: The tool for this

Read next

The first message: three sentences that decide everything

The structure of a first message to a stranger: where you came from, why you are writing and what you want back.

The same text a hundred times is a visible trace

Why identical messages are noticed by both people and software, how variant text works and where it does not help.

When a model writes the opener: where it actually helps

How a generated message differs from a template with substitutions, and what not to expect from it.

Ready to put this to work?

Neurogram automates parsing, commenting and DM conversations on Telegram. Three days free — no card required.

Try it free