🎙️ Podcast – We’re Not on Easy Mode Anymore EP 04
Sales leaders often “nail” forecasts by brute force, not systems. This essay breaks down why accuracy masks deeper...
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Thought leadership and insights from those on the frontlines of GTM
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Structural Cost of Bad CRM Data SWOT Analysis for B2B Sales
Bad CRM data reshapes how sales teams plan, execu and forecast. This SWOT view and risk ladder show how decay compounds...
Why ChatGPT Writing Is So Easy to Detect
A deep analysis of the linguistic signatures that make ChatGPT-generated content easy to spot, what training choices...
When Budgets Tighten, Retention Becomes a Data Problem
When budgets tighten, retention shifts from relationships to execution. Companies that win renewals build better account...
🎙️ Podcast – We’re Not on Easy Mode Anymore EP 03
Variable comp is treated as sacred in sales, yet in a PLG- and AI-driven world it may be the riskiest default hidden...
The Slow Death of SDRs and Rise of Automated GTM Workflows
The traditional SDR model is grinding against reality, as reps drown in admin work while AI, buyer behavior, and bad...
RevOps Summit Insights: Where Revenue Operations Is Headed in 2025
The Revenue Operations Summit London proved RevOps is evolving toward engineered systems, AI-driven execution, and...
$80M In Funding The Revenue Execution Era Just Got Loud
Investors are shifting toward platforms that act, not just report. That's the moment revenue execution becomes the new...
Live: GTME Oct & Nov Release
A Live look inside the features that shift toward autonomous revenue systems. Where intelligence, automation, and...
🎙️ Podcast – We’re Not on Easy Mode Anymore EP 02
A candid look at why reps resent the CRM, why companies still depend on it, and how AI-powered systems may finally fix...
Play to Win vs Play Not to Lose in AI for GTM Teams
Most GTM teams bolt AI onto a bloated stack and see no real improvement. Winning teams rebuild workflows around AI and...
RevOps Co-op Webinar – Why CRM data models break
Matthew Volm, Rob Moseley, Courtney Sylvester, and Jared Barol unpack why CRM data models fail and how RevOps can...
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Your Sales Pipeline on Autopilot
Automate Every Interaction for Revenue Growth
1
Collect Data
Every email, call, and calendar invite is auto-captured. No rep is left with data entry.
2
Process Data
GTM parses intent, entities, and sentiment, turning noise into CRM-ready structured data.
3
Enrich Deal
Continuously updates sales qualification fields (e.g., MEDDICC, SPICE, etc.), stakeholder maps, and key dates in real time.
4
Score Deal
Objective health score + reasons, refreshed after every interaction.
5
Analyze Deal
Flags who's missing, which requirements are vague, and where momentum stalls.
6
Sales Execution
Triggers nudges to reps with next-best actions and automates low-value work.
7
Forecasting for Individuals & Teams
Risk-adjusted close dates roll up instantly for leadership accuracy. Closed-won/-lost feeds the model, tightening every loop for the next deal.
GTM Engine is a Pipeline Execution Platform that automatically analyzes unstructured customer interaction data (like calls, emails, CRM entries, chats) and turns it into structured insights and actions for Sales, Marketing, Customer Success, and Product teams.