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Platform · Closed-won analysis

Your wins already know your next customer.

Every company that bought from you left a trail: hiring patterns, executive hires, funding events, tech stack shifts. Sentrion mines your closed-won deals for the patterns that repeat and builds a scoring model calibrated to what converts for you.

One closed-won deal, replayedSignals surfaced 12-24 months before close
14 months out
Funding event

Series B raised, GTM expansion named as use of funds.

12 months out
New product launch

Enterprise tier announced, partner API opened.

9 months out
Sales framework rollout

Enablement lead hired to implement MEDDIC.

4 months out
Tech stack shift

Salesforce admin roles appearing.

Signed
Closed won

The trail was there all along.

Every win left a trail like this one. Signals that repeat across your wins become your scoring model.

How the analysis works.

Five steps from your CRM export to a buying signal model unique to your market, product, and sales motion.

Step 01 · Input

Pull your closed-won deals

We start from your CRM: every deal you closed over the last 2-3 years.

Closed won
Closed won
Closed won
Step 02 · Lookback

Look back 12-24 months per win

For each company that became a customer, we replay Sentrion's signal history: funding events, hiring patterns, tech stack shifts, and the specific initiatives they reveal, like a product launch or a new sales framework rolling out.

24 mo out18126Close
Step 03 · Patterns

Find the patterns that repeat

Which signal combinations showed up again and again before your deals closed?

The same signal pair, three different wins.

Step 04 · Anti-patterns

Run the same analysis on closed-lost

Lost deals reveal anti-patterns: what was missing in the deals that never closed.

The second signal never came. That gap is the anti-pattern.

Step 05 · Model

Build your scoring model

A custom model calibrated to your actual outcomes, not a generic fit score. This model powers everything downstream.

Funding
Exec hires
Hiring velocity
Stack shift

What the analysis covers.

Wins and losses, side by side. The goal is not a report about the past, it is a model that predicts your next deal.

Speed signals

Which patterns preceded fast closes versus slow ones?

Size signals

Which combinations correlated with larger deal sizes?

Champion detection

Did a specific hire, like a new CRO or VP Sales, appear before fast closes? That hire might be the real buyer.

Signal velocity

Not just which signals, but how fast they accumulate. Acceleration matters.

Negative signals

Layoffs, hiring freezes, leadership gaps. Do-not-call signals that save your reps time.

Segmented throughoutEvery cut above runs across
ICPVerticalCompany sizeGeographyDeal type
The deliverable

Custom signals your whole team can track.

The analysis answers one question: which signals preceded your sales? Those become custom signals, defined precisely enough for Sentrion to track them across your whole market, so every rep watches for the same patterns your wins already proved.

  • The 3-5 signal stacks that repeat before your wins
  • Each pattern defined as a custom signal Sentrion tracks automatically
  • Specific initiatives, not vague triggers: product launches, sales framework rollouts, stack migrations
  • Anti-patterns from closed-lost, so reps skip accounts that look right but never buy

The start of the flywheel.

Without closed-won analysis, account scoring is generic. With it, every score is calibrated to what converts for you. And the model gets smarter with every deal outcome: wins confirm patterns, losses reveal what it missed.

Learn
Find
Understand
Every deal outcome feeds back

See what your wins have in common.

Bring your closed-won deals. Sentrion's framework extracts the signals that preceded them and turns them into a model your whole team tracks, with proprietary signal history deepening every lookback.

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