2026 Revenue Blueprint For Predictable Revenue
Most revenue systems weren’t designed for today’s AI and automation demands. This guide shows how to fix the foundation....
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The 25-year pattern that separates tech winners from losers
After studying 25 years of tech winners and losers, a pattern emerges. The survivors treated their core product as...
🎙️ Podcast – We’re Not on Easy Mode Anymore EP 05
In the latest episode of We're Not On Easy Mode Anymore we get into why sales stages simplify reporting but distort...
3 Values Established in 2025 that Drive 2026 Decisions
Values aren’t aspirational slogans. These three operating principles were built in 2025 to eliminate obstacle and guide...
Meta Acquisition of Manus Shows How AI Revenue Is Won
Meta’s acquisition of Manus confirms a market shift. AI systems now win on execution density, workflow completion, and...
Why Sales Automation Tools Increase Headcount, Not Reduce It
Teams purchase Clay to reduce headcount, then spend six months hiring specialists to make it work. This reversal reveals...
The Meeting Tax Is Costing Revenue Teams
Most revenue teams spend 40% of their time in meetings that exist only to reconstruct information that should already be...
The Intent Layer Problem: AI Capture Value
ChatGPT now runs Spotify and DoorDash directly in conversations. This is seemingly a fundamental shift in how software...
Building Modular Workflows That Scale Automation
Modular workflows transform automation by improving speed, reducing maintenance, and enabling scalable, reusable...
🎙️ 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...
The Next Sales Advantage Comes From AI Consolidation
Sales teams adopted AI to sell more. Instead, they manage more tools. Consolidation, not accumulation, is becoming the...
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...
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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.