The data is real. The pain is universal. The solution is Gekko.
of companies report CRM data is inaccurate
of CRM data becomes obsolete annually
of users lost revenue due to poor data quality
CRMs were built to store records, not drive action. You enter data. It sits there. Maybe a dashboard shows you what happened last quarter. But when a high-value account visits your pricing page 3x in 24 hours? Salesforce doesn't auto-generate a hypothesis and launch a campaign.
It's a database, not an execution engine.
average SaaS tools per company
cite data silos as top concern (up 7% YoY)
of rep time spent on admin (only 25% selling)
None of them talk to each other. Your SDR checks 8 tabs to send one email.
collect intent signals but fail to operationalize them
achieve exceptional ROI (despite 85% seeing some benefit)
of sales/marketing disagree on what "intent" means
You pay $50K/year for 6sense. It tells you "Acme Corp is in-market for your category."
Great. Now what?
You still manually:
Intent data is useless without execution.
of sales teams use AI (mostly basic tasks: segmentation, email drafts)
of decisions based on stale, fragmented data
AI that "assists" is just expensive autocomplete.
Hypothesis generated → Campaign launched → Objections handled → Meeting booked → You get notified.
No 17-step human workflow.
Was it:
You don't know. And neither does your CRM.
Attribution models are guesses. Multi-touch attribution is statistical fiction. Your board asks "What's working?" and you show vanity metrics (MQLs, demos booked) instead of real signal-to-revenue causality.