Board reporting shouldn't require a sprint
Before every board meeting, finance and GTM teams run the same cycle: pull data from multiple systems, reconcile discrepancies, resolve ARR definition arguments, and produce a report that's already slightly stale by the time it's presented.
The problem isn't effort. It's that ARR data isn't centralized, reconciled, or segmentable in real time — so every reporting cycle starts from scratch.
What trapped value looks like in leakage:
FP&A spends days reconciling ARR numbers that don't match across CRM, billing, and ERP
Segment-level cuts — by product, cohort, geography — require manual slicing every time
New, churned, and expanded customer counts are calculated differently by different teams
Core ARR (subscriptions) and non-core (usage-based, volume) aren't consistently separated ← CONFIRM WITH PRODUCT: still a current capability?
The board asks follow-up questions the team can't answer in the room
Snowball gives you a single, automated source of truth for ARR reconciled at the customer level, segmentable by any dimension, and always pulled directly from your billing system. Your team analyzes the data instead of producing it.
How it works
Built from your billing source of truth. Updated automatically.
Connect to your billing system
Secure, read-only connection to your ERP or billing source of record. No manual data exports, no spreadsheet hand-offs, no reconciliation before you can start.
Reconcile and model ARR at the customer level
Snowball calculates new sales, upsells, downsells, and churn for every customer — month over month. Core ARR (subscriptions) is separated from non-core (usage-based, volume). Customer counts and unit counts are tracked. NRR, GRR, and primary SaaS metrics are derived from the same reconciled data set, so every number ties back to a single source.
Report with confidence, every cycle
Segment ARR and customer trends by product, cohort, business unit, or any dimension your board needs. Visualize MoM movements in trends view. Share a board-ready view without rebuilding it from scratch each time.
One reconciled ARR data set. Every reporting cycle.
Reconciled MoM ARR by customer — new, expansion, contraction, and churn calculated from billing, not CRM
Trends view — all tabular ARR data visualized over time, with segment comparisons
Core vs. non-core ARR split — subscriptions separated from usage-based and volume revenue
Customer and unit counts — tracked MoM with new and churned breakdowns
NRR, GRR, and primary SaaS metrics — derived from the same reconciled source, not calculated separately
Booked vs. invoiced reconciliation — contracted value matched to actual billed ARR
What your team can do with it
Report ARR trends to the board with full confidence in the numbers
Segment by product, cohort, geography, or business unit without rebuilding the analysis
Identify where ARR is growing, contracting, or at risk — before the board asks
Cut QBR prep time significantly
Answer follow-up questions in the room, not a week later
"Chassi gives us a level of transparency into top-line performance that was previously inaccessible or painfully tedious to produce."
Ryan Mason
CFO, Trackforce
Proven results. Automated reporting. Board-grade accuracy.
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A single source of ARR truth
Pulled directly from your billing system. No manual reconciliation before every meeting.
Segmentable by any dimension
Product, cohort, business unit, geography — cut the data the way your board thinks about the business.
Always current
Data flows automatically, so reporting doesn't require a sprint before every board cycle.
Finance-grade trust
Every metric traces back to the same reconciled source. No more ARR definition debates.
We already have ARR reporting in our BI tool or FP&A model. What does Snowball add?
Most ARR reporting is built on top of a manually maintained model or a BI layer that pulls from CRM or billing independently. When those systems don't agree, which is common, someone on the finance team resolves the discrepancy by hand, every cycle. Snowball pulls directly from the billing source of truth and reconciles at the customer level, so the starting point is already clean. The output is a consistent, auditable ARR number that doesn't change between the time you pull it and the time you present it.
Our ARR is straightforward. Do we need this level of detail?
Straightforward ARR is often more complicated than it looks once you separate core subscriptions from usage-based revenue, track unit counts, or need to segment by cohort for a board question. If you've ever had to rebuild an analysis to answer a follow-up question after a board meeting, that's the problem Snowball solves.
How is this different from what our billing system already shows us?
Billing systems record transactions. They don't reconcile ARR into a clean MoM waterfall, separate core from non-core revenue, or produce a segmentable trends view. Snowball does that modeling layer on top of what your billing system records.
How long does it take to get up and running?
The connection is read-only and typically takes a few hours to configure. Reporting is available shortly after — there's no lengthy implementation or data cleanup required before you can start using it.
Does this replace our FP&A model or board reporting process?
No. Snowball gives your FP&A team a reliable, pre-reconciled ARR foundation to work from. It removes the manual data production step so your team focuses on analysis and narrative, not on getting the numbers to agree.
Ready to make board reporting a non-event?
Give your team a single, automated ARR source they can segment, present, and defend without the manual prep.
