SaaS Planning

Ask finance, sales, and RevOps for the number.
If you get three answers, keep reading.

We build planning models in Anaplan and Pigment for SaaS companies. Not dashboards, not reports. The model your CFO, CRO, and RevOps team all agree to argue inside of.

Whose number is the number?

Most SaaS companies at $20M+ ARR are running at least four versions of next quarter at any given moment.

01

The board plan

Finance owns it. It was locked in December.

02

Street quota

What sales carries. The plan, plus cushion.

03

The CRM roll-up

Whatever the reps said last time they updated their deals.

04

Marketing's model

Pipeline-sourced. Agrees with none of the above.

Nobody is lying. They're four spreadsheets that have never met.

So the week-two forecast call turns into an argument about whose spreadsheet is right instead of what to do, and the reconciliation happens in slide decks the night before board. We've watched this at companies with excellent finance teams. The people aren't the problem. The disconnection is.

Here's the part that stings: even the pipeline math underneath those numbers is usually stale. The old rule says carry 3x pipeline coverage. That rule quietly assumes you win about a third of what you chase, and nobody wins a third of what they chase anymore.

19%
Median B2B win rate, measured across $48B of pipeline.
~5x
The pipeline coverage that win rate actually requires. Not the 3x folk rule.
Implied by the same data
36%
Committed deals that slipped past their close date last year. And that was the good year. It was 44% the year before.

A planning model earns its keep on one question: in week four, is the gap a conversion problem or a pipeline-creation problem?

Answer it in week four and you can act. Find out in week thirteen and you can only explain.

The churn that renews at 85 cents on the dollar

88% → 84%
Median gross revenue retention for private B2B SaaS, in one year.
95% → 91%
The top quartile dropped too. This is a market-level shift, not a few companies with churn problems.
40%
Share of net-new ARR now coming from expansion rather than new logos, at the median company.

Logo retention: 100%. Nobody canceled. The contract just renewed at 85% of last year's value.

The dangerous version of this doesn't look like churn at all.

Your customer runs leaner now and rationalized seats at renewal. Your ARR waterfall reports it months after it happened, filed under "contraction," lumped in with actual churn, which has a completely different fix.

Meanwhile expansion is quietly carrying the growth story. Benchmarkit's framing is the right one: past the 40% line, expansion has stopped amplifying new-logo growth and started substituting for it.

The question we ask every SaaS finance leader
If your GRR follows the market from 88 to 84, how much more new bookings do you need next year just to stand still?
It's arithmetic. It should take a minute. It usually takes a week, because renewals aren't forecast like a pipeline, contraction isn't separated from churn, and the churn assumption is one hardcoded cell from last November.

Twenty reps with $1M quotas is not $20M of capacity

This is the section where we lose people who plan headcount as a percentage of revenue. So let's do the math.

Heads in seat Not reqs. Not offers. Started and still here.
×
Ramp factor New reps sell a fraction of steady state.
×
Attainment Historical. Yours, not the plan's.
×
Attrition drag Departures cost until the backfill finishes ramping.
=
Real capacity Often roughly half of paper capacity.
5.7 mo
Average AE ramp time. A third longer than in 2020.
Bridge Group, 2024 SaaS AE report
32%
Annual AE turnover. Every departure costs the gap until a replacement finishes ramping.
Bridge Group, 2024
42.7%
Average individual quota attainment across ~47,000 cloud sellers, mid-2025.

Run those honestly and a "twenty reps, $20M" plan holds maybe half its paper capacity. The plan didn't miss in Q3. It missed in the planning cycle, silently, before anyone sold anything.

And then quotas ship late.

71%
Salespeople who start the fiscal year without an assigned quota. 42% wait a month or more.
77%
Reps who have experienced commission payout errors.
1.6 hrs
Per week the average rep spends re-deriving their own pay in a private spreadsheet, because they don't trust the statement.
19 yrs
Consecutive years quota allocation has ranked as the #1 sales comp challenge. Nineteen.

Reps missing quota is a selling problem. Most of this isn't that.

Late quotas, wrong capacity math, comp statements nobody trusts. That's a planning problem, and it's fixable.

One connected model. One number.

Built in Anaplan or Pigment, on live Salesforce and ERP data, where a change to a ramp assumption reprices the whole year without anyone reconciling anything by hand.

Revenue Planning & ARR Waterfall

New, expansion, and renewal modeled separately, and carried past the bookings number: through billings, deferred revenue, and cash.

  • Beginning + New + Expansion − Churn
  • Contraction separated from logo churn
  • Renewals forecast like a pipeline
  • Bookings → ARR → revenue → cash
Sales Capacity & Hiring

Heads × ramp × attainment × attrition, tied to the hiring plan. So the bookings target and the headcount plan stop disagreeing.

  • Ramp curves by segment
  • Attrition and backfill lag modeled
  • Req-to-start lead times
  • Capacity vs. plan, visible weekly
Territory & Quota

Bottom-up from territory potential, reconciled against the board's top-down number, with the gap made visible before comp plans go out.

  • Territory scoring by potential
  • Top-down vs. bottom-up reconciliation
  • Mid-year re-carves without chaos
  • Quotas out before day one
Commission Engine

Bookings-based comp with accelerators, SPIFs, splits, and clawbacks, and rep-facing statements reps can check themselves.

  • Model plan changes before announcing
  • Rep-facing payout visibility
  • Clawback and true-up automation
  • No more shadow spreadsheets
Consumption Forecasting

If you've added usage pricing, consumption gets its own engine, reconciled against bookings. Forcing usage revenue into a contracted-ARR shape is how consumption quarters get missed.

  • Cohort-level consumption curves
  • Commit, drawdown, and overage
  • Reconciled to the bookings forecast
FP&A & 3-Statement

The plan your board actually sees: P&L, balance sheet, and cash flow driven by the revenue and headcount models, with GL integration.

  • Scenario and downside planning
  • Board what-ifs in hours, not weeks
  • Efficiency metrics in the forecast

Where this shows up first

In the reforecast. And in the commission run.

1 week → hours
MeridianLink
SaaS for financial institutions. Contract-level bookings-to-revenue model with Salesforce integration. Reforecasting went from a week of manual work to hours.
"Gave us visibility into pipeline, bookings, and revenue flow for the first time."
Read the case study →
550+ sellers
Renaissance
EdTech SaaS. A commission engine covering 550+ sellers, run through four years of annual plan rewrites. The comp plan still gets argued about every year. That's the point. Now they argue about plan design, not whether the math is right.
"PlanFlamingo helped us build planning infrastructure that actually reflects how we run the business."
Read the case study →
6 weeks → live
Riverside Insights
EdTech. Commission engine in Pigment, six weeks from data to first payment calculated. One quarter in, the dispute data showed sellers asking the same crediting question about the same kind of deal. Riverside shifted crediting mid-year toward the product they wanted sold, and captured revenue that used to be a next-year conversation.
"It removed the bottleneck. Now we can grow without the commission process holding us back." · Joe Mark, VP of Growth
Read the case study →

Two things we say that cost us deals

No. 1

Under roughly $10M ARR, a strong analyst in Excel is usually the right answer.

And we'll tell you that in the first call. A planning platform pays for itself when the model has to hold revenue, capacity, quota, comp, and cash at once. Below that, it's overhead.

No. 2

Even after go-live, some of your planning should stay in spreadsheets.

Anything exploratory, one-off, or owned by a single person thinking out loud belongs in Excel. The model is for the numbers the company runs on. An implementation partner who says otherwise is selling seats, not advice.

We hold no reseller agreement with Anaplan or Pigment. When we recommend one over the other, it's because it fits.

Questions about SaaS planning

Does PlanFlamingo specialize in SaaS companies?
+
Yes. SaaS planning is fundamentally different from traditional enterprise planning because the metrics that matter (ARR, bookings, renewal rate, expansion revenue) are different from traditional revenue recognition. We have built planning models for SaaS companies in EdTech, financial services, HR tech, and vertical SaaS verticals. We understand the nuances of SaaS metrics and can help you structure your planning around what actually drives your business.
Can you build an ARR waterfall in Anaplan or Pigment?
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Yes. ARR waterfalls are one of our core specialties for SaaS companies. We build beginning ARR + new business ARR + expansion ARR - churn ARR = ending ARR models in both platforms. These models integrate with your CRM (Salesforce) to pull bookings data, reconcile to revenue recognition in your ERP, and tie headcount planning to your revenue plan. The tricky part is getting the bookings → ARR → revenue recognition flow right, and we've done it dozens of times.
Which platform is better for SaaS: Anaplan or Pigment?
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Pigment, for most SaaS companies. It's the more AI-forward platform, it's more flexible when the business changes, and it's just as powerful as Anaplan for the models SaaS companies actually need: revenue, capacity, quota, comp, and cash in one place. It's also faster to implement and easier for a finance team to own without a consultant on retainer. Anaplan still has its place: extremely large multi-dimensional models, deep consolidation requirements, or procurement processes that weigh install base heavily. In our practice that's the exception, not the rule. We hold no reseller agreement with either vendor, so if Anaplan is the honest answer for your situation, that's what you'll hear.
Can you connect Salesforce to our planning model?
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Yes. Salesforce integration is critical for SaaS planning because your pipeline, bookings, and quota data lives there. We build Salesforce connectors in both Anaplan and Pigment to pull daily or weekly bookings data, merge it with revenue recognition data from your ERP, and keep your planning model always in sync with your CRM. Salesforce → Planning Model → ERP accounting is the data flow we typically implement.

Bring your last forecast.
And what actually happened.

We'll tell you in 30 minutes whether the gap is your model or your market. If the honest answer is "stay in Excel for another year," you'll hear that too.

See MeridianLink's revenue rebuild →
30 minutes with our founders. Response within one business day. hello@planflamingo.com