Three strategies. One disconnected data set.
Pipeline, retention, and process health all depend on data that lives in different systems, owned by different teams, with no shared view of how they connect to financial outcomes.
Growth & retention
Your teams are running plays, but no one has a clear read on whether those plays are working.
Stage-to-stage conversion is tracked inconsistently or not at all, so pipeline reviews rely on gut feel instead of pattern recognition.
Renewal risk is qualitative. CSMs flag accounts based on relationships, not data, and expansion opportunities sit untouched because no one has a ranked view of where to focus.
Marketing is generating leads that sales closes but customers don't keep, because ICP was never validated against who actually retained and grew.
EBITDA maximization
Revenue problems that start in execution don't stay in execution. They show up in cash.
Long sales cycles and stalled onboarding inflate time-to-value, but no one can quantify how much that costs across segments.
Process steps are getting skipped or duplicated across regions, and there's no visibility into where the variance is or what it's worth.
Deals that closed on non-standard terms create billing mismatches downstream that neither sales nor finance catches until collections lag.
Board-level alignment
When the board asks why the number missed, revenue and operations leaders shouldn't need a week to answer.
The forecast is built on CRM data that doesn't reflect what's actually converting, stalling, or aging out of the pipeline.
GTM and finance report different versions of ARR and retention because they're pulling from different systems with different definitions.
Every QBR requires a manual sprint to assemble data that should already exist in one place.
You’re not short on tools. You’re short on connection.
Revenue and operations teams run on a stack of platforms that each do one job well. The problem is that none of them show how pipeline, retention, and process performance connect to each other or to financial outcomes.
Your CRM tracks deals, but it can't tell you which pipeline segments produce revenue that actually retains and expands.
CS platforms surface health scores based on activity, not financial signals, so the prioritization they recommend doesn't reflect real dollar risk.
Operational reporting captures cycle times and process steps in isolation, but can't connect slow handoffs to their downstream impact on revenue or cash.
Everyone has dashboards. No one has the through-line from execution to outcomes.
One operating view from pipeline to revenue to cash
Chassi connects CRM, ERP, and product usage data to build a single view that links pipeline performance, customer risk, and process health to financial outcomes. So revenue and operations leaders can see what's working, what's not, and where to intervene before the miss hits the board.
Models the full customer journey from lead to renewal, connecting acquisition quality to retention outcomes across every segment.
Tracks pipeline movement and conversion at the stage level so forecast problems surface weeks before they become board problems.
Quantifies process friction across handoffs, cycle times, and operational steps so COOs can benchmark and standardize across teams and regions.
Delivered in days with read-only connections and minimal lift from your team.
Built from your data as it exists today. No cleanup. No system changes. No disruption to how your teams operate.
Best places to start:
If your pipeline coverage looks strong but bookings keep missing, the problem is buried in your conversion data. Pipeline Velocity tracks stage-to-stage movement segmented by business unit, rep, and segment, so you can see where deals stall, which segments convert fastest, and where to reallocate resources before the quarter closes.
If churn keeps surprising your team or expansion plays feel like guesswork, you're missing a quantitative view of customer risk. Customer Analytics predicts churn and expansion at the account level, validates ICP against who actually retained and grew, and delivers a ranked list your CS and sales teams can act on immediately.
Additional solutions to explore:
When GTM and finance can't agree on the ARR number, every board conversation stalls. Automated Snowball reconciles ARR at the customer level from billing data, so reporting is always current, always segmentable, and doesn't require a manual rebuild every cycle.
Deals that closed on non-standard terms or with mid-cycle amendments create billing gaps that nobody catches until cash falls short. Revenue Leakage reconciles booked, billed, and paid at the line-item level and quantifies exactly where revenue is falling out.
When onboarding drags, invoicing lags, and collections slip, cash gets trapped in process bottlenecks that are hard to see. Working Capital maps every step in O2C and P2P, models the impact of specific fixes, and ranks actions by how much cash they free up.
"Before Chassi, understanding churn, expansion, and ARR dynamics meant manual work or outside consultants. Now, I can analyze our snowball by customer segment or cohort with a few clicks. Chassi gives us a level of transparency into top-line performance that was previously inaccessible or painfully tedious to produce."
Ryan Mason
CFO, Trackforce
Why CROs and COOs choose Chassi
One operating view that connects execution to outcomes across every team, system, and segment.
Pipeline and retention data linked to financial outcomes, so forecast conversations are grounded in what's actually converting and retaining.
Stage-level conversion visibility that surfaces funnel problems before they become board-level surprises.
Process and cycle time data that lets operations leaders benchmark across regions and business units without building the analysis from scratch.
Read-only connections to your systems of record. No cleanup, no system changes, and minimal time from your team.
See where your revenue engine is losing speed, and what to fix first
Walk through the platform and see how Chassi connects pipeline, retention, and process data into one operating view.
