Solving Sales Data Fragmentation
Sales reps waste time hunting for customer context across fragmented systems. Here’s how treating every interaction as a...
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Thought leadership and insights from those on the frontlines of GTM
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The Friction Problem That Created RevOps
Sales misses forecasts. Marketing and sales break at handoffs. Customer success inherits incomplete context. RevOps...
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...
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...
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...
🎙️ 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...
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...
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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. Zero adoption friction. No rep behavior change required.
2
Process Data
Structured data, not just summaries. Updates every field type: picklists, dates, booleans, numbers, including custom fields.
3
Enrich Deal
Every field updated, every time. Stakeholder maps, key dates, and qualification fields continuously refreshed in real time.
4
Score Deal
Deal health at a glance. Objective health score + reasons, refreshed after every customer interaction.
5
Analyze Deal
Pipeline inspection in minutes. Know who's involved, who's the champion, who's a blocker and why.
6
Sales Execution
Know who to call and what to say. Next-best actions and automated follow-ups to accelerate your cycle.
7
Forecasting for Individuals & Teams
Forecasting built on customer behavior, not rep inputs. Risk-adjusted close dates roll up instantly for leadership.
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.