ICP Definition & Targeting so every send lands on the right desk.
Precision before volume. We define exactly who to pursue, who to ignore, and why now, so the rest of the motion is aimed at accounts that can actually close.
A target so clear the rest gets easy.
Vague targeting is the quiet tax on every outbound program. When the list is loose, copy hedges, reps chase the wrong logos, and the pipeline fills with deals that never had a path to close. We fix it at the source. We define the accounts worth your team's attention by the traits that predict revenue, segment them by how they should be approached, and rank them by the timing signals that say the door is open. The output is a list you can defend to the board and a reason to reach out that the buyer recognizes.
A targeting model, not a guess
Firmographic fit
The size, sector, geography, and business model that correlate with your best closed deals, set as the floor for every account that enters the list.
Trigger signals
The hiring moves, funding events, leadership changes, and tech shifts that mark an account as in-market right now, not someday.
Deal-size segmentation
Accounts grouped by expected contract value, so enterprise targets get an enterprise motion and the math reflects where the revenue is.
Buying committee map
The roles that decide, fund, and block, named per segment, so outreach reaches the people who can say yes.
Exclusion rules
A clear definition of who to skip: bad fit, no budget authority, regions you cannot serve, so effort never leaks to dead ends.
Tiered priority
Tier one, two, and three accounts with the depth of effort each deserves, so senior time goes where it pays back.
How we define the profile
Built from your own data first, then sharpened against the market.
Mine the wins
We study your closed-won and closed-lost history to find the traits that actually predict a good account.
Draft the profile
We translate those patterns into firmographic, technographic, and behavioral criteria you can apply.
Layer the triggers
We attach the timing signals that turn a fitting account into one worth contacting this week.
Validate and rank
We pressure-test the model against live accounts, then tier the list by fit and intent.
Proof
A global cybersecurity leader cut its target list in half and doubled its reply rate.
Their team was working a list of 40,000 loosely qualified accounts and seeing thin results. We rebuilt the profile around the two segments that drove expansion revenue, added trigger signals for security-team growth, and removed everything that did not fit. The smaller list converted far harder because every contact had a reason to listen.
A global cybersecurity leader. Anonymized.
50%
Smaller, sharper target list
2x
Reply rate on outreach
Illustrative. Real metrics and named references are added with client approval.
Where targeting connects
Questions, answered
Most teams have a profile from instinct, not evidence. We rebuild it from your own closed-deal data, then add the trigger and committee layers that turn a static definition into a working target list. Often the surprise is who you should stop pursuing.
Aim before you fire.
Book a call and we will show you what a sharper target list does to your reply rate.