Know which revenue data you can actually trust.
RevenueGEM finds missing, inconsistent and conflicting attribution data, helps your team resolve it, and remembers the answer for next time.
Private alpha for B2B marketing and revenue teams. Explore the RevenueGEM vision →
- Source
- Channel
- Paid Social
- Confidence
- 96%
- Independent sources agree on the channel
- Latest touch describes a later visit and is kept separately
- Self-reported answer names the same platform (paid vs organic differs)
The problem
Your attribution reports are only as good as the data underneath them.
UTMs break. CRM fields get overwritten. Campaign names drift. Direct traffic hides earlier touches. Self-reported attribution often tells a different story.
Before debating attribution models, you need to know whether the underlying evidence is trustworthy.
- UTMs breakutm_source=LI-paid · Linkedin · linked_in
- CRM fields get overwrittenOriginal source → Offline Sources
- Campaign names driftQ3-webinar · q3_webinar_2026 · Webinar Q3
- Direct hides earlier touchesLatest source: Direct
- Self-reported tells a different story“Heard about you on a podcast”
How it works
RevenueGEM turns messy revenue evidence into trusted data.
- 01
Find the problems
RevenueGEM identifies missing fields, conflicts, inconsistent values and uncertain attribution.
- 02
Resolve what matters
RevenueGEM normalizes what it can confidently determine and shows exactly why. Ambiguous cases go to human review rather than being guessed.
- 03
Fix it once
Approve a mapping once and RevenueGEM remembers it for future datasets.
Example
From RevenueGEM's 500-record validation dataset
- records analyzed
- 500records analyzed
- initially needed attention
- 114initially needed attention
- reusable mapping decisions could address 50 records
- 25reusable mapping decisions could address 50 records
- Attribution Health after normalization
- 67 → 85Attribution Health after normalization
Validation data, not a customer outcome. Attribution Health measures data quality, not marketing performance.
Before and after
One contact, five fields, one trustworthy answer.
- UTM source
- LI-paid
- UTM medium
- social
- Original source
- LinkedIn Ads
- Latest source
- Direct
- Self-reported
- Saw you on LinkedIn
- Source
- Channel
- Paid Social
- Latest touch
- Direct (kept separately)
- Self-reported
- LinkedIn (kept separately)
- Confidence
- 96% · High
- Status
- Corrected
RevenueGEM preserves first touch, latest touch and self-reported evidence instead of flattening everything into one field. The result above is the engine's actual output for these values.
Trust
RevenueGEM doesn't hide uncertainty behind an AI answer.
Explainable
See the evidence behind every attribution decision.
Human-guided
When evidence conflicts, RevenueGEM asks instead of pretending to know.
Gets smarter for your team
Approved decisions become workspace memory and reduce future cleanup.
Know when it knows. Know when it doesn't. Remember what you decided.
RevenueGEM Memory
Your team shouldn't solve the same data problem twice.
When someone approves a mapping, RevenueGEM remembers it for the workspace. Future records reuse that decision automatically, and every rule records who made it and where it has been applied.
Fix it once. RevenueGEM remembers.
- Applies only to this field group, so it never changes other fields
- Runs before built-in rules on every future dataset
- Versioned and reversible; past runs are never rewritten
Attribution is the starting point.
Trusted evidence and remembered decisions are the first layers of RevenueGEM: a shared memory and intelligence layer for revenue operations, connecting evidence, decisions, human judgment and outcomes over time.
Design partners
Help shape RevenueGEM.
We're working with a small number of B2B marketing and RevOps teams to test RevenueGEM against real-world attribution data. Design partners get early access at no cost and help shape what we build next.
Ideal partners
- B2B SaaS
- HubSpot
- Multiple acquisition channels
- Inconsistent or unreliable attribution data
- Willing to test using a real CRM export
No Anthropic or AI API account required. RevenueGEM provides the technology.