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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Thought leadership and insights from those on the frontlines of GTM
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Category: RevOps
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...
When You Connect ChatGPT To A Dirty CRM, You Get Faster Wrong Answers
Most CRMs are quietly rotting. When you connect ChatGPT or any LLM to that dirty data, you do not get “smart...
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
Marketing finally grows up when automation reflects real buyer truth, unifies sales and marketing, and turns CRM data...
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...
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...
The Common Customer Data Model as the GTM Brain
Modern GTM teams need a shared brain, not more tools to keep up with. The Common Customer Data Model unifies signals,...
From Strategy to System: The Future of GTM Execution
GTM is shifting from campaign planning to continuous execution. The next growth frontier belongs to teams that turn...
The Living Customer Record: RevOps’ Next Evolution
The single customer view failed because it was static. The living customer record brings coherence, aligning who, where,...
When RevOps and Marketing Finally Align with AI SDRs by Topo
Topo.io bridges RevOps and Marketing with AI SDRs that use real intent signals to deliver smarter, more human outbound...
From Browser Wars to CRM Wars: The Fight for Context
The next CRM revolution isn’t about automation, it’s about understanding. The platforms that master context will own the...
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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.