Use caseRefresh your ICP
Contrast the accounts that thrive on your product with the ones that struggle, on what triggered the purchase, what they needed and how implementation went, and redraw the profile in time for territory and quota planning.
A profile written from early wins describes who bought first, and the accounts that renew and expand today may look different enough to change who sales pursues next year.
Pulse can draw accounts from the tools sales already uses, or from an uploaded export, inviting both ends of the fit scale: accounts that adopted fast and expanded, and accounts that stalled or churned within a year.
Recruitment reaches buyers who chose a competitor after evaluating you and decision makers in segments you plan to target, each fraud-checked, to test whether the profile describes the market you want next beside the one you serve today.
Company size and sector are easy to filter on and weak at predicting success. The profile is rebuilt around the event that started a purchase, the need behind it and the capacity the account had for rollout.
The world's most ambitious teams research with Pulse.
GrowwBest-fit and poor-fit accounts are compared trait by trait, and only the differences that show up consistently make it into the redrawn profile.
Accounts that adopted quickly may share a trigger, such as a new regulation or a merger, a clear owner for rollout and a measure of success agreed early, and traits like these become the core of the profile.
Accounts that struggled describe what went wrong after signing, from no internal champion to data they could never connect, which gives sales qualification questions that flag a risky deal early.
The new profile states its traits in plain terms, notes the evidence behind each and carries the date of the research, so revenue operations can rebuild scoring and territories around it for the coming year.
An ideal customer profile describes the kind of organization most likely to buy, adopt and stay. It is often drafted from intuition and early wins and then left unchanged as the product and market move on. Refreshing it combines data and research. Customer data shows which accounts grow, renew and expand, and which churn, by firmographic and behavioral traits. Interviews with best-fit and poor-fit customers explain what separates them: the triggers that led to purchase, the needs the product meets, the resources they had for implementation and how they measured success. Win-loss research adds the view from lost deals, and interviews with target prospects test whether the profile reaches the market the company wants. Segmentation research formalizes the result, grouping accounts on the variables that best predict success so each segment can be sized, described and targeted.
Sales, marketing and customer success each hold a version of the ideal customer. Reading the same transcripts and recordings, and not three separate summaries, lets them disagree about the new profile over one body of evidence and settle it once.
Poor-fit accounts also had reasons to buy, and those reasons, grouped across many of them, can trace to one promise in the pitch. Sales learns which part of its story draws accounts that later struggle, and can retire it.
Asked what makes a good supplier, buyers list ideals. The brief goes to their most recent evaluation, the vendors they dropped first and the demo they skipped, so the profile describes how good-fit accounts actually buy.