Grow the accounts you already have.
Ergodic connects account, usage, contract and market signals into one model of your customer base. See which accounts will expand, which are at risk and where to put your team, before the quarter closes.
$9.6B+
opportunity identified
$130M+
target opportunities
~90%
less forecast error
Months
of early warning on churn
Revenue is hiding in plain sight.
Intelligence lives in silos.
Contract expirations, product usage, support tickets and market signals sit in different systems, so most accounts go unresearched.
Prioritisation runs on instinct.
Reps spend hours on manual research and default to the biggest accounts, not the ones most likely to convert.
Forecasts can't answer when to hire.
Pipeline is disconnected from finance, so leadership can't tell when to hire and when to hold.
Prioritise every account against the same model.
Ergodic scores each account on the signals that predict expansion and churn, then ranks where your team's time is worth most.
Score each account on what predicts growth.
Put your team where it counts.
The top accounts rise to the surface, ranked by likelihood to expand, not by size.
How Ergodic helps.
Ground
One model of your customer base, built from CRM, contracts, product telemetry, support and external market signals.
Explain
See why an account is likely to expand or churn, from legacy hardware and contract timing to hiring intent.
Simulate
Test a change in coverage, pricing or pipeline before you commit the team, and see the impact on revenue and hiring.
Reconcile
One forecast from opportunity to region to enterprise, with no shadow spreadsheets.
Learn
Every override and decision is tracked against what actually closed, so the next quarter starts sharper.
What it has delivered.
Live in Fortune 500 companies. Commercial teams use it to find revenue in the base and to agree one forecast across sales and finance.
Identifying $130M in revenue with predictive sales intelligence
A Fortune 100 global technology leader in networking, cloud and digital infrastructure.
Problem
Account intelligence sat in disconnected silos across thousands of SKUs and a global customer base. Reps spent hours each week on manual research, leaving most accounts unresearched.
Solution
A predictive sales intelligence engine unified internal telemetry with external market signals. It flagged customers on legacy hardware, harvested hiring and intent signals and spotted competitive presence, all in a single account view.
Results
The sales force moved from intuition-driven activity to intent-driven execution, with full territory visibility and earlier churn warnings months before renewals.
$130M+
target opportunities identified
$9.6B+
total identified opportunity
A 90% reduction in revenue forecast error
A top-tier global engineering and consultancy group with more than 18,000 employees.
Problem
Revenue forecasts relied on linear extrapolation, and billions in CRM pipeline were disconnected from finance. Leadership couldn't answer when to hire and when to hold.
Solution
A hierarchical revenue intelligence engine connected Sales, Finance and Operations. It split revenue into sold backlog, weighted pipeline and upside, and let leaders simulate deal slippage and early wins.
Results
One reconciled view of revenue across the organisation, early warning months ahead of shortfalls, and more decisive hiring.
~90%
reduction in forecast error
One
reconciled global forecast
One forecast, not three
Consensus planning across Commercial, Planning and Finance.
Problem
Each team brought its own forecast in its own system. Commercial overrides were never tested or measured, and the same debate repeated every cycle.
Solution
One shared model where the baseline, the commercial override and the finance target are simulated side by side before the plan changes.
Results
Scenario-led decisions, quantified downstream impact and measurable override effectiveness. The same intelligence identified a priority account that later closed an eight-figure refresh deal.
8 figures
refresh deal surfaced
Per override
forecast value added tracked
$9.6B+
opportunity identified
$130M+
target opportunities
~90%
less forecast error
Months
of early warning on churn
Bring us an account decision.
We'll show you how it looks when every account is scored against one model of your business.
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