Account-based marketing

Which accounts, which seats, and which message for each?

ABM programs fail on a target list built from firmographics and a seat map guessed from titles. The model replaces the first with accounts selected on a live program that matches what you sell, and the second with seats verified in role on the day.

Who decidesWhat is in flightWho serves itThe map

Build the account list and the seat map from what the company is actually doing, and write the message to the program they are running.

What you can run

8 jobs this record does, in the words the work is described in.

Each one is a read of the same account record rather than a separate product, and each carries the method that produced every line and the date it was last read.

01Build a target list from accounts running a live program that matches what you sell.
02Map the buying committee, and separate the people in seat from the people who have left.
03Split an account into the units that buy separately, and treat each one as its own target.
04Write one message per account that opens with something the company has said or done.
05Find the former colleagues and former customers who now sit inside the account.
06Route each account to the seller who covers the unit that holds the program.
07Refresh the list on a cadence, and drop the accounts whose program has already shipped.
08Export the record into your own platform with the method and the date on every field.
What the model returns
01
The list

Accounts selected on a live program that matches what you sell, ranked on the strength and independence of the evidence.

02
The seats

The buying unit, the owning team, the executive seat and the layer between, each verified in role on the day.

03
The message

One thesis per account, built on the named program and the incumbent, so every message opens with something the company has said or done.

04
The alumni path

Which of your former colleagues and former customers now sit inside the account.

Who asks this
Marketing and demand teams at enterprise sellers
Revenue operations building target account programs
Partner and alliance teams mapping a shared account
How this is done today

Three ways teams answer this now, and where each one runs out.

The usual approachWhere it breaks
Firmographic filters build the target list.Size, sector and geography do not say whether the program you sell into is running.
Job titles stand in for the buying committee.A title is not a seat, and a most recent role is not a current one, which is how departed people reach a live campaign.
One message goes to the account as a whole.Units that buy on separate budgets do not share a problem, and the message fits none of them.
An extract

One bank, read in September 2026

Alumni inside the accountOver 140 current staff came from each of three large IT services firms. A warm path that no list carries.
Buying unitsSix entities buy separately, with different top suppliers in each.
SeatsThe technology executive layer, the program owners beneath it, and a procurement function with its own hires, all dated.
These rows are an extract, and the names behind the seats are held in the model and shown on a demo.
Ask for a demo

Ask it about a company you name.

We run the record before the call and answer this question on it, with the evidence behind every line.

The record is shown on the call, not sent ahead. We run a small number of demos each week.

Common questions

Common questions

Yes. Records export as structured data with every field carrying its source, date and confidence, so your platform can score and route on them.

A current role is one with no end date on a public record, re-read on a cadence. A most-recent role is not treated as current, which is the error that puts departed people into published maps.