At some point in the last decade, your revenue organization stopped buying tools to solve specific problems and started buying tools to feel like it was doing something about specific problems.
The result is an architecture nobody designed, that nobody fully understands, producing noise at industrial scale while everyone pretends the signal is clear.
The Franken-stack by the numbers
HockeyStack's GTM platform analysis is blunt about where the market landed:
"For the last decade, every GTM problem came with the same prescription -- just buy another tool. Next thing you know, you're stuck with a Franken-stack -- a sprawling mess of tools that each own a slice of the buyer's journey, but nobody sees the full picture. Marketing can't prove ROI, sales lacks context, and RevOps spends all day cleaning data."
| Stack Problem | Statistic | Source |
|---|---|---|
| Companies with fully integrated GTM tech stacks | <30% | HockeyStack |
| GTM teams using AI in daily operations | 49% | Highspot 2025 |
| Sales reps spending time on non-selling activities | 64% | Multiple |
| Top GTM priority (alignment) -- year after year unresolved | #1 for 5+ years | Aptitude8/Ascend2 |
Aptitude8's research, surveying 275 GTM leaders, found that strengthening marketing, sales, and customer success alignment has been the most commonly reported area of focus -- consistently, year after year. And it remains broken. Not because organizations aren't trying. Because alignment programs don't fix architecture problems.
The signal fragmentation map
YOUR CUSTOMER RIGHT NOW:
Support call ────────────────────► Lives in: Zendesk / Intercom
Marketing email campaign ────────► Lives in: HubSpot / Marketo
SDR outreach ────────────────────► Lives in: Outreach / Salesloft
Product usage ───────────────────► Lives in: Mixpanel / Amplitude
Contract terms ─────────────────► Lives in: DocuSign / Ironclad
Sales call recording ────────────► Lives in: Gong / Chorus
Customer Success QBR ────────────► Lives in: Gainsight / Salesforce
SYNTHESIS OF ALL OF THE ABOVE: ──► Lives in: Nobody's system
Sales knows what happened on the last call. Marketing knows what content the buyer engaged. Product knows which features they're using and which they've abandoned. Customer Success knows about last week's ticket. These four teams are each holding one corner of a map. None of them have the full picture. None of their tools were designed to reconcile with each other.
The irony of more data producing less clarity
The average revenue organization has never had access to more data about its customers. Call recordings. Email threads. Product telemetry. Support logs. Contract history. Campaign engagement. Intent signals. And yet: forecast accuracy remains stubbornly poor. Win/loss analysis is largely anecdotal.
Vidyard's 2024 State of AI in GTM found that:
"GTM leaders say that their teams most commonly use AI to create content. The greatest challenge they face is a lack of expertise. Beyond that, integration issues with existing systems is a common problem."
More data in disconnected systems isn't information. It's the raw material for information, locked behind walls of tools that don't speak to each other, interpreted by teams that don't share a common customer model.
Highspot's State of Sales Enablement Report 2025 frames the accountability problem clearly: without someone steering how AI supports the sales motion end-to-end, "utilization stays low. Teams may experiment with features, but without a champion, AI never becomes embedded into programs."
The tax this places on humans
Sales reps spend 64% of their time on non-selling activities, according to Persana AI's analysis of B2B sales. You hired salespeople. You built a bureaucracy and put salespeople inside it. Every tool you added was a rational decision in isolation. The aggregate of rational decisions is an irrational system.
"If you can't connect AI to your sales process, team performance, or revenue benchmarks, your AI spend stays stuck in the 'experimental' bucket."
-- Highspot State of Sales Enablement 2025 (source)
You don't have a revenue intelligence problem. You have a revenue coherence problem. And no amount of additional tooling fixes incoherence. You don't solve fragmentation with more fragments.
Next: The buying committee grew to 8 people while you weren't looking -- and most of them don't want to hear from your rep.