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Thought leadership and insights from those on the frontlines of GTM

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Tag: Automation
GTM Engine Is the ServiceNow Moment for Revenue

GTM Engine Is the ServiceNow Moment for Revenue

Revenue is finally getting its ServiceNow moment. GTM Engine unifies data, automates accuracy, and becomes the system of...

Real-time 1-to-1 ABM Streams at Scale

Real-time 1-to-1 ABM Streams at Scale

Marketing finally grows up when automation reflects real buyer truth, unifies sales and marketing, and turns CRM data...

The Hidden Cost of CRM Dysfunction in Sales Data

The Hidden Cost of CRM Dysfunction in Sales Data

Most CRM data is unusable, creating broken forecasts, burnout, and operational blind spots. Fixing CRM accuracy isn’t...

New Feature: Intelligent Calendar View

New Feature: Intelligent Calendar View

Sales chaos isn’t from lack of effort, it’s often lack of clarity. The Intelligent Calendar View helps sellers regain...

Clay vs Apollo.io: The Lead Showdown

Clay vs Apollo.io: The Lead Showdown

Clay vs Apollo.io: Two powerhouse platforms with fundamentally different approaches to B2B sales intelligence. One...

The Invisible Advantage: Where AI Efficiency Meets Human Connection

The Invisible Advantage: Where AI Efficiency Meets Human Connection

Companies balancing AI efficiency with human connection see higher retention. The secret? Making technology invisible so...

The Revenue Leak You Can't See: Why Follow-Ups Fall Through the Cracks

The Revenue Leak You Can't See: Why Follow-Ups Fall Through the Cracks

Your biggest revenue leak isn't the lost enterprise deal, it's the Tuesday follow-up that never happened. Research shows...

Beyond Chatbots: The Revenue Automation Revolution

Beyond Chatbots: The Revenue Automation Revolution

Most revenue teams think they've "automated" their GTM with chatbots, but mimicry isn't execution. Real automation...

Beyond Text: AI That Turns Sales Conversations Into Revenue Intelligence

Beyond Text: AI That Turns Sales Conversations Into Revenue Intelligence

Most AI tools just generate text summaries, but GTM Engine transforms sales conversations into structured data that...

The Hidden Cost of Sales Admin: Reclaiming 50% of Sellers Time

The Hidden Cost of Sales Admin: Reclaiming 50% of Sellers Time

AEs spend just 28% of their week selling and the rest is lost to CRM admin. See how GTM Engine automates data capture,...

RevOps Teams Are Using AI Workflows to Scale Custom Sales Processes

RevOps Teams Are Using AI Workflows to Scale Custom Sales Processes

RevOps teams often design great sales processes that never reach full execution. Learn how GTM Engine’s AI workflows...

AEs With 80% More Time: The End of Admin Purgatory

AEs With 80% More Time: The End of Admin Purgatory

AEs lose 30+ hours weekly to CRM admin. See how automating capture, follow-ups, and prioritization boosts selling time,...

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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.

Email
Calls
Calendar
Cloud
Chat
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.

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SALES PIPELINE AUTOMATION FAQS

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.