How do I build a Fit Score for healthcare accounts?

Build a Fit Score by turning each ICP attribute into a weighted rule, computing the total from public and CRM data, and writing an explainable score and tier onto every account, so the rank is transparent rather than a black box. A good Fit Score is simply your ICP made measurable and repeatable.

This guide covers how to construct the score. For the library of signals that feed it, see what signals belong in a Fit Score, its companion.

Why does a Fit Score matter?

Focus. Of the thousands of accounts in your market, the score tells a rep which twenty are worth this week, so selling time lands on the accounts most likely to pay rather than the loudest inbound or the biggest logo. It is tuned to future value, not just the next close: fit means resemblance to the customers who stayed and grew, so a good score protects retention and expansion, not only this quarter's win rate. And because it is recomputed as data changes, a rising score is itself a buy signal, movement into fit is a timing cue worth acting on.

What goes into the score?

Start from your ICP, the attributes your best customers share. Give each a weight based on how strongly it predicts a good customer, so size and specialty might count more than geography. Those attributes come from wherever they live, registries such as NPPES and CMS for identity and structure, the company website, reviews, and social for consumer-fit signal, and your own internal data for behavior. The result reflects real buying patterns, not equal-weighted guesses.

How do I weight the attributes?

Assign each attribute a weight, decide the values that earn points, and sum them for a 0 to 100 score. The illustrative weights below show one way to build it, drawing on registry, web, review, and social sources together.

Weights shown are illustrative, not SignalRx defaults.

Should the score be a number or a tier?

Keep both. A numeric score sorts a list finely, and a tier, High Fit, Moderate Fit, Low Fit, or No Fit, is what reps and dashboards read at a glance. Each tier is a band on the number, with the cutoffs set to match how your team wants to prioritize. Where you draw those lines is a business decision covered in setting thresholds. The 95 in the table above lands the account firmly in the top tier.

Why does explainability matter?

Reps trust a score they understand. Showing the two or three reasons an account scored high, a large multi-site group, a target specialty, the right technology, turns the score from a mystery number into a reason to call. SignalRx pulls the underlying public data in alongside your CRM, registries for identity and structure, the company website, Google reviews, and social for consumer-fit signal, resolves ownership so a physician group or MSO reads as one account, and writes the score, tier, and reasons onto every account and contact in Salesforce, your system of record. What makes the scores dependable is that they weigh that external mix against your own internal signals, your revenue, support, and product-usage data tracked over time, with inference choosing which source to trust when they conflict, and the resulting scores and Tags flow straight into Revenue Plays and Salesforce lists.

What does this look like on one account?

Illustrative, based on how SignalRx customers work. Riverside Dermatology Partners is a physician-owned group, 6 locations, specialty dermatology, in-territory, running the platform you integrate with, and it carries a high volume of strong Google reviews plus an active treatment-focused Instagram. Scored against the weights above, the structural attributes drawn from registries and that consumer-demand signal read from reviews and social together lift it into the top fit tier. The record also carries a health tier of Maintain and Tags for ownership and specialty, so it flows into the right list and Revenue Play automatically.

Key takeaways

• A Fit Score is your ICP with weights, made measurable, and its real payoff is focus.
• Keep a numeric score for sorting and a tier for reading.
• Show the reasons behind a score so reps trust and act on it.

See it in action: Close Better Leads with SignalRx.

Related: What signals belong in a Fit Score? and How do I set Fit Score thresholds and tiers?