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How do I prioritize expansion opportunities by value?

Rank expansion by likely deal size and probability, so AEs chase the biggest winnable growth first.

5
min read

Prioritize expansion by combining each opportunity's likely deal size with its probability of closing, so an AE works the biggest winnable expansion first instead of whatever opportunity happened to surface most recently. Expansion capacity is limited, so ranking it by value is one of the highest-return decisions in the motion.

The size and probability you rank on come from data you already own, product usage and revenue tracked over time against each account's plan, so the ranking reflects how each customer is actually doing rather than external guesswork.

This guide ranks expansion opportunities once you have found them. To find them in the first place, see cross-sell opportunities and customers ready to upgrade, and to keep two ranked plays from colliding, see avoiding two offers at once.

Why rank expansion at all?

A healthy customer base throws off more expansion signals than any team can work. Without ranking, AEs chase the easiest or the newest opportunity, not the most valuable one, and the largest deals quietly sit unworked. A simple value ranking fixes that.

How do I estimate value and probability?

Size comes from the offer and the account's scale, seats, locations, and volume. Probability comes from fit to the offer, health tier, and the strength of the trigger. In healthcare, account scale and fit are read from real attributes, the location count and setting from CCN-keyed CMS data, the specialty from the NPPES taxonomy, and the true size of the parent from ownership resolved up to the MSO or private-equity level, and where a record is thin SignalRx fills those gaps from public sources so a large group is not underranked for a missing field. Trigger strength draws on the change SignalRx watches for, leading with New Locations and Job Listings / Job Changes.

InputDrawn fromRaises the rank when
Deal sizeOffer plus account scale (seats, locations, volume), with new locations and growth corroborated from web and LinkedInThe account is large and the offer is substantial
FitFit tier for the offer, resting on firmographicsThe account is Fit High rather than Moderate
HealthHealth tierThe account is Expand rather than Maintain
Trigger strengthHow recent and concrete the signal is, including external web and LinkedIn signals of new locations and growthA strong, current trigger just fired

Illustrative example

Illustrative, based on how SignalRx customers work. An AE has two expansion opportunities on Monday. The first is a solo practice that fits Moderate for an add-on, a small deal. The second is a thirty-location group running well over its plan, Fit High and in the Expand tier, with a usage trigger that fired last week. Ranked by size times probability, the group sits far above the solo practice, so the AE works the group first even though the solo opportunity surfaced more recently.

How does this fit with retention?

Never prioritize an expansion pitch over a save on the same account. Health gates expansion, so an account in the Triage or At Risk tier is retained first, not upsold. See prioritizing at-risk accounts.

Key takeaways

  • Rank expansion by deal size times probability.
  • Estimate size from account scale, probability from fit, health, and trigger.
  • Retention gates expansion: save before you upsell.

See it in action: Increase Customer Revenue with SignalRx.

Related: How do I segment by value and fit? and How do I time an expansion offer?

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