AI inherits the mess
A model can summarize dirty CRM data, but it cannot make missing source, stale stage, or incomplete revenue fields strategically trustworthy.
™AI-ready Salesforce data.GTM confidence.
Not AI. The AI + GTM readiness layer.
Know if your Salesforce data is ready for GTM strategy and AI.
Revometer scores CRM health across 160 metrics, maps risk to the Bowtie revenue model, and shows whether the data underneath your forecasts, attribution, and AI workflows is actually trustworthy.
If the data is not clean, the AI will not be either.
Selected product screen
160
metrics scored before AI sees the data
5
CRM evidence domains
3
Bowtie GTM zones
0
external data warehouse required
Not AI
Deterministic scoring before automation.
Bowtie GTM
Acquire, Convert, Expand evidence.
Data readiness
Context, parameters, structure.
Salesforce native
Works where CRM truth already lives.
AI readiness check
Not ready for a demo yet? Start with free Salesforce readiness tools.
Why this matters now
AI fails when CRM data is not GTM-ready.
Revenue teams are being sold AI on top of Salesforce data that was never scored for strategy. Revometer tells you whether the evidence is complete enough, contextual enough, and structured enough before the business relies on it.
Generic cleanup misses GTM context
A field can be populated and still be useless for channel investment, pipeline quality, renewal readiness, or Bowtie-stage diagnosis.
Strategy needs evidence confidence
Revometer scores whether Salesforce data is clean, contextualized, parameterized, and structured enough to support GTM decisions.
AI readiness layer
Revometer does not replace AI. It makes AI safer to trust.
AI systems can only reason over the evidence they receive. Revometer checks whether Salesforce data has the context and structure needed for attribution, GTM planning, forecasting, and automation.
Explore AI-ready dataSource attribution
Lead Source, Opportunity Source, campaign, and channel fields determine whether AI-assisted GTM planning can trust channel economics.
Pipeline motion
Stage duration, close-date drift, next steps, and activity coverage show whether deals are progressing or just sitting in the forecast.
Revenue context
Closed-won products, contract linkage, renewal fields, and billing readiness determine whether post-sale AI workflows start with reliable facts.
Data signals Revometer validates
From source attribution to revenue readiness.
Revometer turns CRM patterns into concrete readiness signals that a CRO can use and an operator can fix.
Simple example: lead source
If lead source or opportunity source is missing, attribution analysis becomes fragile. That means GTM investment decisions and AI-generated channel recommendations inherit the same uncertainty.
Watch
70
/100
Attribution readiness
Missing lead and opportunity source fields block confident channel investment analysis.
Green
88
/100
Pipeline quality
Conversion and stage evidence are strong enough to support GTM review, with targeted exceptions still tracked.
Green
86
/100
Cadence evidence
Activity coverage and engagement patterns give operators a cleaner read on active motion.
Watch
77
/100
Revenue recognition
Closed-won source and renewal gaps remain visible before they distort expansion or finance workflows.
™AI-ready Salesforce data.GTM confidence.
Product proof
A cockpit for data confidence. Workbenches for the fix.
Leaders see the answer: score, confidence, constraint, and recommended move. RevOps and Salesforce admins get the drill-downs that explain why the data is or is not ready.
Selected product screen
Health Score
78
Yellow - Salesforce evidence is at risk, with no score movement since the last scan
Confidence
78%
Data confidence before GTM strategy, forecasting, or AI automation consumes the record base
Recommended Move
Engagement Engine
Cadence and engagement evidence are constraining pipeline quality and executive confidence
Action Plan
37 issues
28 critical, 9 warning, and 1 quick win tied to readiness-driving Salesforce fixes
Bowtie GTM readiness
Score the data behind Acquire, Convert, and Expand.
Revometer maps five CRM health domains to three Bowtie operating zones, so leaders see whether Salesforce can support the GTM motion they are about to plan around.
Explore Bowtie readinessAcquire
Can you trust the top of funnel?
Source attribution, account context, lifecycle fields, and pipeline entry quality determine whether growth channels are measurable.
DQPH
Convert
Can pipeline convert into revenue?
Cadence, stage progression, forecast hygiene, and deal composition determine whether the pipeline has real motion.
CEPQ
Expand
Can post-sale data support expansion?
Closed-won products, contract details, renewal readiness, and revenue fields determine whether customer data can power the next motion.
RR
Workflow
From CRM scan to GTM confidence.
Revometer turns operational CRM evidence into an executive readout, then gives the operations team the path to make the data more trustworthy.
01
Read Salesforce evidence
Revometer scans standard Salesforce records and configured fields inside the Salesforce environment.
02
Score GTM data readiness
Metrics are banded across Data Quality, Pipeline Hygiene, Cadence and Engagement, Pipeline Quality, and Revenue Recognition.
03
Map Bowtie confidence
Domain health rolls into Acquire, Convert, and Expand so leaders see which GTM motion can be trusted.
04
Prioritize the cleanup
Action Plan and root-cause analysis show which fixes improve data confidence before AI or strategy depends on it.
Availability
Start with data confidence. Expand into guided remediation.
Revometer separates the executive readiness signal from the deeper operational work needed to improve the Salesforce evidence layer.
Diagnostic tier
Score whether the org is ready.
- CRM Health Score with composite and 5 domain scores
- 160 metrics scored and banded
- Benchmark context where available
- Trend arrows vs prior scan
- Org Readiness Assessment
- Admin setup and Run Now scan
Premium
Diagnose root cause and ship the fix.
- GTM Assessment with Bowtie zone scoring
- Root-cause analysis with dependency mapping
- Action Plan with prioritized operations
- What-If Simulator for projected score gains
- Drill-down for 150 of 160 metrics
- Remediation guidance and Salesforce task creation
Demo-first evaluation
Find out whether your Salesforce data can support GTM strategy and AI.
Revometer is not another AI layer. It scores the CRM evidence your AI, attribution, forecasting, and boardroom decisions depend on.
AppExchange listing in progress. Demo requests are routed before the public listing is live.
FAQ
Questions revenue teams ask before trusting Salesforce data.
Is Revometer an AI product?+
No. Revometer is the confidence layer before AI. It uses deterministic Salesforce scoring to show whether CRM evidence is ready for GTM strategy, attribution, forecasting, and AI-assisted workflows.
How is this different from generic Salesforce data cleanup?+
Generic cleanup usually checks whether fields are filled in. Revometer scores whether the data is useful in GTM context: source attribution, pipeline motion, cadence evidence, Bowtie zone health, and revenue readiness.
Why does lead source matter for AI and GTM strategy?+
Lead source and opportunity source connect revenue outcomes to channels. If those fields are missing or inconsistent, AI summaries and attribution analysis can point teams toward the wrong investment decisions.
Does Revometer require external integrations?+
No external integrations are required. Revometer is designed as a native Salesforce managed package that scores Salesforce CRM data.
What is the AppExchange status?+
The AppExchange listing is in progress. Until the public listing URL is live, this site uses demo-first language and does not claim AppExchange availability.