Revenue Operations
Pipeline you can actually trust
Bad data doesn't just hurt marketing—it corrupts your entire revenue picture. Lantern ensures every opportunity has accurate contacts, verified company data, and complete fields, so your pipeline reports reflect reality.
1
Opportunities with ghost contacts
That $500K opportunity? The primary contact left the company 3 months ago. Nobody noticed. The deal is dead, but it's still in your commit. Your pipeline includes deals that can't possibly close.
2
Missing and incomplete data
40% of your opportunities are missing key fields—decision maker contact, close date rationale, competitive information. Forecasts built on incomplete data are guesses, not predictions.
3
No single source of truth
Your CRM says one thing. Your BI tool says another. The spreadsheet your VP maintains says something else. Which number is right? Nobody knows, so leadership makes decisions on whichever one supports their argument.
Continuous verification that opportunity contacts still work at the company, still have valid emails, still have working phones. Flag deals where the primary contact has changed jobs.
Track field completion across all opportunities. Surface deals missing critical information. Nudge reps to fill gaps before pipeline reviews.
Identify duplicate opportunities for the same deal, inflating pipeline. Detect when multiple reps are working the same account unknowingly.
Conversion rates, velocity metrics, stage duration, win rates—all calculated on clean, accurate data. Finally, reports that reflect reality.
Do the contacts on this opportunity still work at the company? Are their emails valid? Are their phones connected? Stale contacts = dead deals.
Does this opportunity have the right contacts? Is the economic buyer identified? Is there a champion? Are influencers mapped? Single-threaded deals are risky.
Is the account data current? Employee count, industry, revenue? Has the company been acquired, merged, or renamed? Stale company data = wrong segmentation.
Are required fields populated? Close date with rationale? Deal amount justified? Next steps defined? Competitive situation documented? Incomplete = low confidence.
Does this deal belong in this stage? Has it been in the same stage too long? Is the close date realistic given the stage? Misrepresented stages = fiction forecasts.
Is this the only opportunity for this deal? Are multiple reps working the same account? Is pipeline being double-counted?
Does this opportunity look like past winners or past losers? Are there red flags that predict failure?
- Trust reps entered data correctly (they didn't)
- Discover bad contacts during lost deal review
- Run quarterly data audits (too little, too late)
- Argue about which forecast is right
- Board questions pipeline numbers
- Decisions made on unreliable data
- Revenue surprises every quarter
- Opportunity data verified continuously
- Contact changes flagged in real-time
- Field completeness monitored automatically
- One source of truth for pipeline
- Board trusts what they see
- Decisions made on accurate data
- Forecasts you can stand behind
Use cases
4
consecutive quarters of accurate forecasting
CFO at a public company
50%
Pipeline review time cut by 50%, quality of discussion improved
VP of Sales at a growth-stage company
First
board meeting in 3 years without pipeline credibility questions
CRO at a Series C company
"We discovered that 15% of our pipeline had contacts who'd changed jobs. These deals were never going to close—we were forecasting fiction. Lantern caught this pattern and now flags it automatically. Our pipeline is finally real."
Robert Kim
VP of Revenue Operations
