Play Copywriting

Written for 1 person.
Without a rep writing it.

Your rep opens a drafted cold email, LinkedIn message and call track, written from the contact's persona card.

Request a demo

It writes last, so it writes from everything

The pipeline runs in 2 tracks, both wired to your CRM at each end, and Eva runs all of it. Everything the account track finds is on the record before the contact track starts, and the play is the last step of the second one.

Eva, the Evergrowth AI colleagueEvaLaunches them, and writes them
On the account
Your CRM Website Finder Account Qualification Account Research Account Planning Contact Finder
Then on each contact
Contact Qualification Contact Research Email/Phone Finder Play Copywriting Your CRM
What reps open

Your rep opens a draft, not a blank page

The record carries the plays already written for that person: a cold email, a LinkedIn message and a cold-call track. Each opens to its subject line and full draft. Copy for email and Send via email sit under it, and Send fills your own mail client with the subject and body.

What it knows

It starts from the research your agents already did

The play is written from what the Account Research and Contact Research agents already put on the record: the business model, the qualification and enrichment criteria, the pain points and the objections. It writes last, so everything the other agents found is already there.

CRM counts too

It also reads what your team already logged

CRM activities sit on the record beside the agent runs: the emails, calls, meetings and notes your team logged, each carrying the outcome the CRM recorded. When a play asks for that context the agent writes from it, so a play that should ignore history still can.

Who it addresses

It writes to the persona you defined, not a guess

A persona card has no human name and no photo: its headline is the expertise. The play is written against the card that matches the contact, so the same signal reads differently to a RevOps lead and to a VP of Sales.

What it argues

Your value proposition is what every play argues

Upload it once and every play argues from it. Publish a change and the next play run is given it, though each play's instructions keep the version they were written from until you regenerate them.

Starting a play

Start from a template, then write the instructions yourself

A play template is named for its segment, the same root its account plan uses. Use template, tick the ones you want and create them. Each becomes your own play carrying the template's subject line and every sequence step, with an Instructions brief you rewrite yourself.

Or ask Eva

Describe the play you want and Eva writes it

Ask in plain English and she writes the row: the channel, the sequence steps, the persona it aims at and the condition that decides where it runs. She rewrites existing ones too. Creating a play writes a row and nothing else, so nothing is generated and nothing is charged until you launch it.

Running it

Start it from the record your rep is already on

No separate tool and no export. The play agent sits in the same launch menu as qualification, research and the waterfall, and nothing is pre-checked on a first run, so a rep who only wants a call track gets a call track.

Where it lands

The copy writes itself back onto your CRM record

Each play gets its own field: the message, the subject line and 1 field per sequence step. Your admin maps each field once and we can create the property for you, then it syncs without anyone clicking. The CRM is the only tool we write to: everywhere else is an export or a copy.

Eva, anywhere

Your team works with Eva anywhere, not only in Evergrowth

It is the same Eva as in the workspace, with each rep's own permissions, and her answers link back to the workspace.

  • Slack
  • Microsoft Teams
  • ChatGPT
  • Claude
  • Microsoft 365 Copilot

In Slack and Microsoft Teams

In Slack, a rep sends her a direct message or mentions her in a channel. In Teams, she answers in direct messages. Eva in Slack and Teams

In ChatGPT, Claude and Copilot

The Evergrowth connector brings Eva in through MCP. Before she launches anything, she shows the cost and asks. Eva in ChatGPT, Claude and Copilot

IGEN writes a different message for each persona

Their words, from their own story. Each message names the trigger and what that persona cares about, and draws on marketing's own content, so it stays on brand.

“So I think what's changed at IGEN, in a sentence or two, would be growth faster, with specific targeted messaging to the right person at the right time.”

Jamie Wilson Jamie Wilson, VP of Sales, IGEN
Read the IGEN story
1 message per persona
A user, a director and a CFO each get a different one
On brand
Reps' messages draw on that content, so they stay on brand
3 triggers
Triggers tell reps who to call, and why now
Ramp-up
New reps start with the research done
What your security team will ask

  • Never used to train models

    Your CRM data, research outputs and agent activity are never used to train or fine-tune models. Not by us, not by our providers.

  • Your workspace is isolated

    Each workspace is logically isolated, so your data is never accessible to another customer.

  • You control retention

    If you cancel, your data is returned or deleted, your choice. If you make no request, all personal data is permanently deleted within 30 calendar days.

The detail, the sub-processors and the DPA are on Security and trust.

Your material stays yours

Under the MSA, everything you upload and everything the agents produce from it is yours.

SOC 2Audited
ISO 27001Certified
GDPRCompliant

See it write to your own personas

We load your value proposition and 1 persona, then draft the 3 channels against a contact you pick.

Request a demo