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Expansion Identification

Expansion Identification

Expansion Identification continuously reads a customer's usage, realised value, stakeholders and business change against the company's expansion, product and value logic, and returns an evidence-backed expansion candidate with its confidence, potential value and a recommended next step, or explicitly rejects the signal.

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Expansion Identification·3 expansion signals spotted this week
Evaluating Marwood Instruments…
TriggerCustomer State · Marwood Instruments - usage crossed expansion threshold · 11:15 AM
Deploy agentDeploying Expansion Identification agent on Marwood Instruments
Use skillLoading skills · Adoption Analysis · Voice of Customer Analysis · Customer Stakeholder Mapping
Reference memoryReading memory · Expansion · Products · Customer Outcomes · Account Plan
ReasoningMarwood Instruments’ usage crossed the expansion threshold three weeks ago; it only became a candidate once product fit and the account’s own stated goal cleared alongside it
ActionReturn an evidence-backed candidate with confidence and next step → feed Expansion Briefing when qualified
Spotted in 6 seconds
Surfaces inExpansion BriefingviaSlackTeams
Revenue LabsAPP11:15 AM LIVE
EXPANSION BRIEFING: Marwood Instruments
Fired 11:15 AM · CSM, Sales and manager notified together
THESIS & EVIDENCE
EXPANSION IDENTIFICATION
Signal: usage crossed the expansion threshold three weeks ago
Confidence: Medium (product fit and the account’s stated goal cleared alongside the usage signal)
Health reading Good; no stakeholder change yet, the case rests on usage and fit alone
RECOMMENDED NEXT STEP
Raise with the account team before this week’s review; a human still decides whether to open the commercial conversation
Open BriefingReview Expansion QueueAsk Agent

How do you know an account is actually ready to expand?

What changes across the three columns isn't whether someone eventually notices an account is ready to expand, it's whether that notice is a CSM's hunch, a usage number with no case behind it, or a thesis reasoned from the customer's actual goals, value realised and stakeholders.

01 | The Current Way

02 | AI Added On

03 | AI-Native

When a new use case emerges

Unseen unless noticed

A new use case only becomes visible if a CSM happens to hear about it on a call or spot it in a support ticket.

Flagged, not reasoned

A bolted-on tool can flag that usage changed, but flagging an event isn't the same as a reason the customer would actually buy more.

A thesis, evidenced

The new use case is checked against expansion, product and value logic and returns a thesis with evidence and confidence, or is rejected, for a CSM to review before it's raised.

When adoption crosses a threshold

A number, no context

A usage dashboard shows adoption climbing, but nobody connects the number to what the customer is actually trying to achieve.

Confident regardless of fit

A bolted-on tool suggests "expansion opportunity" the moment a metric crosses a line, whether or not the account and package actually fit.

Checked against fit and goals

The same threshold is tested against product fit, customer goals and commercial logic before it's ever called a candidate.

When a stakeholder changes

Missed until someone asks

A champion's promotion or a new buyer joining the account goes unnoticed until someone happens to ask who's in the room now.

Named, not weighed

A contact record update shows the new name, but doesn't say whether that person changes the expansion case at all.

Weighed for what it changes

The stakeholder map updates and shows whether the new person adds authority, budget or urgency to a candidate already forming.

The account review

Depends who prepared it

What gets raised in the review depends on which CSM ran it and how much digging they did beforehand.

Same notes, separate cases

A shared activity feed means everyone reads the same notes, but each CSM still has to build their own case from them.

Already surfaced and ranked

The CSM opens the review with expansion candidates already evidenced, confidence-scored and ranked by potential value, ready to walk through.

When the expansion is pursued or passed on

The read never checked

Once an opportunity closes or dies, nobody goes back to see whether the original signal that raised it was actually right.

Same trigger, win or lose

A bolted-on tool keeps flagging the same usage pattern the same way, whether the accounts it flagged before expanded or didn't.

Outcomes sharpen the criteria

Every pursued or passed-on candidate feeds back into the signal criteria and qualification logic, and RevOps configures whether that update applies automatically or only once they approve it.

It reads what's known about the customer against the company's expansion, product, value and persona logic, and returns an evidence-backed candidate with confidence, potential value and a next step. It's delivered to CS as a ready case and to Sales as context, traceable to the evidence.

It lifts net revenue retention without a proportional rise in account-planning effort, because expansion candidates arrive already evidenced instead of every CSM building the case for their own accounts from scratch.

BUILT USING THE WORKSPACE
What other system architects are building today.
Voice of Customer Analysis

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Value Mapping

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Value Realisation

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Customer Stakeholder Mapping

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Portfolio Review

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Customer Risk

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The Platform

One system that understands, decides, acts and learns.

Every GTM signal flows through an AI-native operating layer into a system that runs on the surfaces your team already uses.

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Frequently Asked Questions

AI-native GTM Systems didn't exist two years ago - here are the questions everyone wants answered.

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What stops Expansion Identification from flooding CS with false positives?

Expansion Identification only returns a candidate once evidence clears the bar set for product fit, customer goals, value realised and stakeholder context. A thin or borderline signal comes back with low confidence and the specific gaps named, or is rejected outright, and a CSM or manager still decides whether and how to raise it, so nobody has to sift a list of triggers pretending to be theses.

Is Expansion Identification the same as Expansion Planning?

Expansion Identification is not the same as Expansion Planning: Expansion Identification spots that a credible expansion opportunity exists in an account, evidenced and confidence-scored; Expansion Planning starts only after that, working out the commercial path, stakeholders, value case and timing for pursuing it. One recognises the opportunity, the other decides how to run it.

How current is an Expansion Identification candidate?

An Expansion Identification candidate reflects the customer's condition right now. The picture updates continuously, so a new use case, an adoption shift, a stakeholder change or a business change at the account re-runs the evaluation against expansion, product and value logic, and a candidate that wasn't there last week can appear, or one already raised can be revised, without waiting for the next scheduled check-in.

Does Expansion Identification get better at spotting real opportunities over time?

Expansion Identification does improve, because every pursued or passed-on candidate feeds back into the signal criteria and qualification logic it applies next time. When a use-case signal that looked strong keeps leading nowhere, or a quieter stakeholder change turns out to predict real expansion, that pattern builds pressure to reweight the criteria, and RevOps configures whether that reweighting applies automatically or waits for their review before the next account.

What signals indicate an upsell opportunity?

A single usage spike or seat count rarely indicates a real upsell opportunity on its own. Expansion Identification looks for signals that combine: a new use case emerging, adoption crossing a meaningful threshold, a stakeholder with more authority or budget joining, or a business change at the account, checked together against product fit, customer goals and commercial logic before any of them is called an opportunity.

How can CS and Sales coordinate expansion with AI?

CS and Sales coordinate on an expansion opportunity by working from the same evidence instead of a handoff note. Expansion Identification gives CS an evidence-backed candidate with confidence and potential value, and gives Sales the same context, product fit, stakeholders and reasoning, rather than a generic lead with no history behind it, so both sides start the commercial conversation from one shared picture.