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GTM Decision Engine

Know which accounts to work now, why, and what to do next.

Starting analysis engine…
GTM Engineering PortfolioConnecting to decision engine...

Turn CRM account data into a prioritized sales action queue.

GTM Decision Engine combines account data, CRM context, buying signals, optional ICP fit, and data quality to answer one question: which accounts should sales work now, and why?

✓ Automatic column mapping✓ Temporary visitor uploads✓ CRM-aware recommendations

Decision Preview

Priority Queue

Ranked
#1

Northstar Systems

Account score 94

Work Now
#2

Acme Enterprise

Account score 88

Continue Opportunity
#3

Vertex AI Labs

Account score 76

Follow Up
#4

Helix Software

Account score 61

Research First

Signals

Live

CRM

Aware

ICP

Optional

Full feature showcase

GTM Sample

30 accounts

Mixed account scenarios designed to demonstrate ranking, signals, CRM context, and sales actions.

CRM import

HubSpot Sample

61 companies

Synthetic HubSpot-style data with lifecycle stages and automatic CRM column mapping.

CRM + data quality

Salesforce Sample

121 accounts

Synthetic Salesforce-style accounts including CRM states and duplicate-account cases.

How it works

From raw account data to an actionable queue

01

Import

Upload a CSV or start with a GTM, HubSpot, or Salesforce sample.

02

Enrich

Combine company data, CRM context, buying signals, and data confidence.

03

Score

Evaluate account evidence with optional ICP fit and signal strength.

04

Decide

Rank accounts and recommend the next best sales action.

↳

CRM-aware decisions

Existing customers, opportunities, leads, and recent outreach change what sales should do next.

⌁

Buying signals

Use current account signals and website enrichment as evidence for prioritization.

◎

Optional ICP scoring

Add target markets, industries, and company size without filtering accounts out.

◇

Data-quality checks

Surface potential duplicate CRM accounts while preserving each record independently.

Reproducible demo, real decision logic

Built-in samples use deterministic synthetic signal inputs for reproducibility. Account scores, queue ranking, CRM precedence, duplicate detection, and recommended actions are calculated by the decision engine. Visitor-uploaded CSVs use live website enrichment.

No real customer CRM data

Explore the system

See the decision engine work with different CRM structures.

Start with a sample dataset or upload your own CSV to review mapping, enrichment, scoring, and recommended actions.