The average B2B company uses 10-15 tools in their go-to-market stack. Sales has Gong, Outreach, and Salesforce. Marketing has HubSpot, Drift, and 6sense. Product has Jira, Productboard, and Pendo. RevOps has spreadsheets, Looker, and whatever custom dashboards they've built this quarter.
We call this the Frankenstack — a cobbled-together collection of tools that each do one thing well but collectively create a mess.
The Real Cost of Fragmentation
The cost isn't just the software licenses (though $150K+/year for a mid-market GTM stack is common). The real cost is in three areas:
1. Lost Context
When a sales rep records a call in Gong, that intelligence stays in Gong. When marketing writes a competitive analysis in Google Docs, it stays in Google Docs. The rep and the marketer might be working on the same account, dealing with the same competitor, hearing the same objections — but they'll never know.
Lost context means duplicated work, missed connections, and slower response times.
2. Manual Integration Tax
Someone has to stitch the Frankenstack together. Usually it's RevOps, spending 40% of their time building Zapier automations, maintaining custom integrations, and manually reconciling data across tools.
That's not intelligence work — it's plumbing. And every time a tool updates their API, the plumbing breaks.
3. No Compound Effect
Here's the biggest cost: in a fragmented stack, data doesn't compound. Every tool starts from zero context every time. Your CRM doesn't know what was said on the last call. Your content platform doesn't know what customers are actually asking about. Your product backlog doesn't reflect the patterns in customer conversations.
You're running a linear operation in an exponential world.
What "Consolidation" Actually Means
We're not saying throw away all your tools. Gong is great at recording calls. Salesforce is great at managing pipeline. HubSpot is great at marketing automation.
What's missing is the intelligence layer — the system that:
- Ingests data from across your stack
- Extracts the entities, relationships, and patterns
- Builds a unified knowledge graph
- Makes it all queryable and actionable
This is what GTM Intelligence provides. Not another tool in the stack, but a layer that sits across the stack and makes every tool smarter.
The Compound Alternative
Imagine instead of 15 siloed tools, you had one knowledge graph that understood:
- Every person, company, and product mentioned across all your data
- The relationships between them
- How those relationships change over time
- What patterns emerge when you connect sales conversations with marketing campaigns with product feedback
That's the compound alternative. Not a better CRM or a better content tool — a fundamentally different approach to how GTM teams capture and use intelligence.
Making the Shift
You don't need to rip and replace your stack overnight. The shift happens in three stages:
- Connect — Start feeding your existing data (call transcripts, documents, notes) into a knowledge graph
- Discover — Watch as entities and relationships emerge that you never knew existed
- Compound — As more data flows in, the intelligence compounds — each new input makes every existing insight richer
The Frankenstack problem isn't about having too many tools. It's about not having the intelligence layer that connects them.