Skip to content

Predictive analytics

Know the number before the quarter closes.

Verlix reads the contracts, invoices and payments you already run and projects them twelve months forward: revenue, expansion, contraction, churn and cash, each with its confidence range drawn.

Monthly revenue: six closed months rising from $690,000 to $987,000, then six forecast months reaching $1.34M inside a confidence band that widens by 2.2% for every month past the boundary.

Solid: months already closedDashed: what Verlix predictsBand: the confidence range

Why Verlix

Reports tell you what happened. Verlix tells you what happens next.

Churn arrives as a warning

Accounts are flagged ninety days before renewal and ranked by what they are worth.

At risk today
14 accounts
Twelve months out
5 forecast

Accounts at churn risk by month, flagged ninety days before renewal, falling from 14 closed to a forecast 5.

Cash predictability

Cash stops being a surprise

Every invoice, term and payment habit rolls into one balance, next to the plan you committed to.

  • Modelled on how each customer pays, not a blended average
  • The plan of record sits on the same axes, so the gap is visible
  • The range widens with the horizon instead of pretending to certainty
Cash today
$2.4M
Twelve months out
$5.1M forecast
Comparison line
Plan of record

Projected cash balance over twelve months, rising from $2.4M to a forecast $5.1M inside a widening confidence band, with the plan of record drawn as a grey dashed comparison line.

Every signal

Eight more forecasts, each with the figure it settles.

Expansion signal

Expansion shows months early

Commit use, seat growth and overage all bend before a renewal call is booked.

Accounts above 85% commit utilisation by month, rising from 18 closed to a forecast 41 within twelve months, inside a widening confidence band.

Above 85% commit
18 accounts today
Twelve months out
41 forecast

Contraction signal

See the downgrade before the email

Falling use, shrinking seats and slower payment resolve into one number.

Contracted value flagged for contraction by month, falling from $214,000 closed to a forecast $96,000 as the signals are worked.

ARR carrying a signal
$214K today
Twelve months out
$96K forecast

Net and gross retention

Retention you forecast, not report

Net retention projects expansion and contraction together, with gross retention beside it.

  • Both series on one axis, so the spread between them is the story
  • Cohort, segment and plan tier each carry their own curve
  • The board number and the operating number come from one model

Net revenue retention by month, rising from 118% to a forecast 129%, with gross revenue retention on the same axis as a grey dashed line running from 94% to 97%.

Net revenue retention
118% today, 129% forecast
Gross revenue retention
94% today, 97% forecast

Renewal risk

Commit to a renewal number you will land

Every renewal carries a probability and the book is valued at it. The gap is named in dollars.

  • Probability set by usage, support history and payment behaviour
  • Weighted value by month, so a soft quarter shows up as a shape
  • Every renewal traces back to the contract it came from

Probability-weighted renewal value by month, rising from $1.15M closed to a forecast $1.9M against a $2.2M book up for renewal.

Book up for renewal
$2.2M
Probability-weighted
$1.9M forecast
Gap to the book
$300K

Lifetime value

Know what an account is worth

Lifetime value is projected per account from real billing history, then blended across cohorts.

  • Built from invoiced revenue, not from a self-reported deal size
  • Usage and expansion accrue into the value as they happen
  • Acquisition cost reads against the value the cohort actually returns

Projected lifetime value per account, blended across cohorts, rising from $84,000 closed to a forecast $142,000 inside a widening confidence band.

Value per account
$84K today
Twelve months out
$142K forecast
Basis
Blended across cohorts

Time to cash

Predict the day the money lands

DSO is forecast from how each customer actually pays, not from the terms they signed.

  • Predicted pay date on every open invoice
  • Late payers identified from their own history, before they are late
  • The forecast feeds the cash projection above, not a separate model

Days sales outstanding by month, the predicted time to cash on open invoices, falling from 34 days closed to a forecast 21 days.

Days sales outstanding
34 days today
Twelve months out
21 days forecast
Basis
Open invoices, per customer

Deferred revenue release

Revenue you already sold, by month

The release schedule comes from the contracts in force, not from a demand forecast.

  • Schedules read from the agreement, term by term
  • Amendments and mid-term changes reschedule the balance on the spot
  • The audit trail runs from the schedule back to the signature

Forward schedule of revenue recognition from contracts already in force, releasing $1.48M in the current month and $2.6M by month twelve.

Releasing this month
$1.48M
By month twelve
$2.6M
Source
Contracts already in force

Budget variance

Know you are ahead before the board asks

Predicted performance is drawn against plan, flat at 100%. The gap is a distance on a chart.

  • Plan drawn as the baseline, never as a second measure
  • Variance projected forward, so a miss is called while it is fixable
  • Reforecast in place, without rebuilding the model

Predicted performance against plan by month, tracking from 102% of plan to a forecast 109%, with plan drawn flat at 100% as a grey dashed baseline.

Against plan today
102%
Twelve months out
109% forecast
Baseline
Plan, flat at 100%

Your revenue data should make decisions, not reports.

Free up to $1M ARR. Connect the ledger and the first twelve-month projection runs the same day.