Target audience

From your product canvas, Wrenwire generates a set of target segments and, for each one, a value proposition and a decision-maker persona.

This is the stage where a campaign stops being about your product and starts being about somebody’s situation. It is also the cheapest place to change your mind: rejecting a segment here costs one review, whereas discovering the same mistake in a finished message series costs the series.

Target segments

Each segment describes a group of companies worth approaching together, because a similar industry, size or buying trigger means one argument works across all of them.

The number of segments is decided by the material, not by a setting. A narrow product for one industry may yield two, a broad platform six. Wrenwire proposes what the canvas supports rather than filling a quota, because a segment invented to reach a round number produces a value proposition nobody asked for.

You can accept the proposal, edit a segment in place, or remove one. Removing is worth doing freely: every segment you keep multiplies into a persona and its own message series, so an unconvincing segment costs credits and review time all the way down.

Value propositions

For every segment the AI drafts a value proposition: a headline statement of why that segment specifically should care. A campaign usually carries several and compares them against each other, which is the point. Two propositions aimed at the same segment tell you which promise you actually believe.

They are versioned, so you can iterate without losing earlier drafts and see what changed between them.

Steering the research

Before generating, you can point the research step at specific signals: keywords, technologies a prospect company should be using, and boolean search strings for LinkedIn, Google or Sales Navigator.

This narrows what the AI looks for when it researches a segment, and it is the lever to reach for when the first proposal comes back plausible but generic. A generic result usually means the canvas said what the product does without saying who has the problem; adding signals here is the quicker fix, improving the canvas is the durable one.

Decision-maker personas

For each segment, Wrenwire generates a persona: a profile of the person you would actually be writing to. A persona includes:

• an empathy map: what they say, see, think and hear;
• their archetype and decision-making style;
• pain and gain, both personal and organizational;
• where they sit relative to the purchase decision, meaning whether they approve budget or have to convince somebody who does.

That last point is the one that changes the copy most. Writing to somebody who signs and writing to somebody who has to build an internal case are different jobs: the first wants the outcome, the second wants an argument they can repeat to their own boss without looking naive.

What flows from here

Personas feed directly into message sequences. The tone and the angle of the generated messages follow from the persona, not only from the value proposition, which is why a persona that feels wrong is worth fixing before you generate a single message.

Segments also shape prospecting: the prospect finder searches against the segment definition, so a vague segment produces a vague prospect list and spends enrichment credits doing it.