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Revenue Analytics

NRR. Pipeline. One Dashboard.

Surface NRR and pipeline health in real-time. GainTrace unifies fragmented BI reports into a single revenue intelligence dashboard.

Tracking $1.2B in combined ARR

Connects with your existing stack

SalesforceHubSpotStripeMixpanelPostHogIntercomZendeskSlackAmplitudeChartMogulSegment
Fragmented Reporting

One Question. Seven Tools.
Zero Answers.

Stop manually calculating NRR. GainTrace unifies your revenue intelligence into a single real-time dashboard—the definitive source of truth for your CFO and board.

Salesforce
Salesforce source
Subscription invoices
Pro monthly$100Jan
Pro monthly$100Feb
Pro monthly$100Mar
HubSpot
HubSpot source
Enterprise journals
Enterprise annual$2,400Q1
Segment
SegmentActive
MRR
$4,000
ARR
$48,000
Monthly Recurring RevenueEDIT MRR
$0$2K$4K
⭐Closed initial deal on Pro plan
ℹ️Upgraded to Enterprise annual contract

Capability Deep Dive

Real-time metrics your CFO can defend to the board.

NRR, GRR, Churn, Expansion — All Real-Time

Every metric your board asks about, calculated from source data, updated in real-time. Net Revenue Retention. Gross Revenue Retention. Churn rate by cohort, segment, plan, and tenure. Expansion revenue by account, product line, and time period.

Real-time metrics from source data. Zero manual calculation.

See At-Risk ARR Before It Becomes Lost ARR

The Revenue Analytics dashboard does not just show you where revenue is today. It shows you where revenue is going. At-risk ARR is calculated from health scores, usage trends, billing events, and support patterns — not from a CSM's gut feeling. You see the dollar amount at risk, the accounts driving it, and the signals that triggered the classification.

At-risk ARR quantified in dollars, not color codes. Updated in real-time.

Forecast Revenue, Not Hope

AI-driven revenue forecast based on account health trajectories, expansion signal density, and churn risk concentration. The forecast includes confidence intervals, not point estimates. Your CFO gets a range they can defend to the board, not a number they have to hedge with caveats.

Predictive forecast with confidence intervals. Based on signals, not pipeline weighting.

The Process

From Fragmented Reports to One Dashboard in Days

GainTrace connects to your existing billing and CRM infrastructure instantly. Historical data backfills automatically. You see trends from day one.

01
Step 01

Connect Revenue Sources

Link your CRM (Salesforce/HubSpot), billing system (Stripe/ChartMogul), and product analytics (Mixpanel/PostHog) via the Product Signals connector library.

02
Step 02

Define Revenue Model

Map your revenue segments, plan tiers, and expansion definitions using the no-code configuration UI. GainTrace auto-generates the metrics framework from your data structure.

03
Step 03

Go Live

The dashboard populates with historical and real-time data. NRR, GRR, at-risk ARR, and forecast models are live and updating continuously.

FAQ

Common questions

Everything you need to know before switching.

How does GainTrace calculate NRR differently than our BI dashboard?
GainTrace calculates NRR in real-time from source billing and CRM data, using the same definitions your finance team uses. The difference is speed and attribution. Your BI dashboard shows you the number. GainTrace shows you the number, the accounts driving it, the signals behind each movement, and a predictive forecast of where it is heading.
What does 'at-risk ARR' mean in GainTrace?
At-risk ARR is the total annual recurring revenue from accounts that GainTrace's multi-signal AI has classified as having elevated churn probability. It is expressed in dollars, not color codes. Each at-risk account shows the specific signals driving the classification and the recommended intervention.
Can I export the revenue dashboard for board presentations?
Yes. GainTrace supports one-click export to PDF, PowerPoint, and CSV. The export includes NRR waterfall, cohort retention, at-risk ARR breakdown, and forecast charts. Most customers use the automated export as their primary board reporting mechanism.
How accurate is the revenue forecast?
The AI-driven forecast provides confidence intervals, not point estimates. Accuracy depends on data volume and history length. Customers with 12+ months of connected data typically see forecast accuracy within plus or minus 3 percentage points of actual NRR at the 90% confidence level.
Does Revenue Analytics work without the Product Signals module?
Revenue Analytics requires at least one connected data source, which uses the Product Signals connector infrastructure. You do not need to use the signal feed actively, but the connectors must be set up to populate the revenue dashboard.

Stop reconciling. Start forecasting.

One dashboard. Real-time NRR. Actionable intelligence.

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