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What is this?
A straight answer to "how do we compare?"
We researched how healthy SaaS companies spend, grow and staff — checked every number against its original source — and built this so we can see where we stand and decide with evidence, not LinkedIn posts.
1 · The research
Verified benchmarks
Spend, growth, efficiency and headcount norms from the newest 2026 surveys — plus the peers that actually look like us.
2 · Our numbers
Where we stand
Enter our revenue, growth and team shape. Every chart grows a YOU marker and every metric gets an honest verdict.
3 · The decision
The headcount question
A calculator that answers whether a headcount reduction creates value or destroys it — and where to take it from if we do.
Two ways to use it
Chat (front page) — ask questions, get formatted answers with sources. Pages (left menu) — the same research laid out to browse. They share the same brain: numbers you enter in either place show up in both.
The headlines, if you read nothing else
Growth median
20%
CY2025, fourth straight yearly decline — but the first re-acceleration signal (15%→20%E) just appeared.
Retention warning
GRR 84%
Median gross retention just had its biggest one-year drop on record (was 88%).
Efficiency bar
Rule of 40
Median score is 25 — the market pays a large premium to companies that clear 40.
Our reality check
−4% / +23%
Public FY24 filings: revenue fell 4% while headcount grew 23%. That divergence is the whole conversation.
Which yardstick applies to us
Dimension
Us
The right comparison
Size
~$95–100M revenue (₹786 Cr FY24 filed)
$100M+ band: growth ~20–27% · G&A ≤16% · R&D ~26%
Funding
Bootstrapped, profitable, zero VC
Bootstrapped cohort — spends 56–100% less than VC medians, and 83% run near breakeven
Revenue mix
Platform SaaS + messaging delivery
Judge on gross-profit dollars, not revenue (SMS pass-through ≈31% margin)
India-adjusted rev/FTE band $120–200K — not the US $300–500K
Public-filing figures (CARE Ratings, Oct 2024) are pre-filled everywhere as defaults — replace them with internal actuals in Where We Stand.
01 · Our position
Where we stand
Put in our numbers, get honest verdicts. Defaults below are the public FY24 filings — overwrite with internal actuals.
🔒Private by design. Numbers save to this device only. To share your view with a colleague, use "Share inputs" — they paste the code on their machine.
Company numbers
FY24 filed: 786
FY24: −4%
est. Jul-25: 1,043
FY24 PBILDT: 7.2%
Team & org structure now lives in the Org Map — map your people top-to-bottom and the assistant spots key-person risks and where roles can be automated or reduced.
02 · Our position
Does a cut create value?
Cutting people trades growth capacity for margin. The market values growth at ~2.5× margin — so the cut only creates value if the margin gained beats 2.5× the growth lost. Run our numbers.
The calculator
India-heavy blends often ₹12–25L. Include salary + benefits + overhead.
0 if the roles don't touch pipeline, roadmap or retention.
Where to look first
What not to cut
Do it once, do it right
Sort teams before naming numbers (Bain)
Across-the-board haircuts are how cost programs fail. Sort every team into differentiating / necessary / over-delivering first; cut deep only in the third bucket, protect the first entirely.
One cut beats three (HBR)
Most layoffs never improve return metrics. Survivors' performance drops ~20%, resignations rise ~31% — and repeated waves make it worse. Size it so there's never a second announcement.
Tell a reallocation story
"Funding AI leverage and efficient growth" is true, survivable, and what markets reward — "cutting costs" is none of those. Top-quartile companies reinvested freed margin to re-accelerate growth (Battery).
What to watch afterwards
03 · The research
How much should a company like ours spend?
Short answer: it depends on how fast we intend to grow — not how big we are. Pick the ambition first, the budget follows.
Median spend as % of revenue — pick an ARR band
KeyBanc/Sapphire SaaS Survey line items (FY2023 — the last publicly disclosed set; the new 16th-annual edition is report-gated). R&D and G&A fall as companies scale; S&M doesn't.
The chart that answers the question: S&M follows growth ambition
Companies growing >30% spend 68% of revenue on S&M; sub-10% growers spend 31%. Same survey, same year — ambition is the variable.
Full department budget — % of ARR SaaS Capital 2026
Bootstrapped total ≈96% of ARR / equity-backed ≈101%; equity-backed spends 56–100% more per line. New 2026 stat: 83% of bootstrapped companies run near breakeven vs 52% of equity-backed — our cohort's discipline is normal. Industry R&D has compressed to 27% of revenue (from 35% three years ago).
The era reset — why old numbers mislead
Line
2022
2023
2024E
Δ
Sales & Marketing
42%
34%
31%
−11
R&D
36%
30%
27%
−9
G&A
24%
21%
18%
−6
Total OpEx
102%
86%
76%
−26
The industry cut a quarter of its cost base in two years. KeyBanc's 2025 edition now expects median EBITDA to turn positive in 2026. Anything quoted from before 2023 describes a dead market.
04 · The research
What growth should we target?
Growth is judged relative to size — 30% is slow at $4M and excellent at $50M. Here's the 2026 curve, with us on it.
The 0.85 rule — growth decays naturally
Next year's growth ≈ 85% of this year's. That's physics, not failure — Salesforce decayed 84→76→60% while becoming Salesforce. The question is whether we decay faster than that.
Scale VP. Set targets as: last year × 0.85 = expected · band median = floor · top quartile = stretch.
Context
2026 read
Whole market
CY2025 median 20% (4th straight yearly decline) — but KeyBanc's new survey shows the first rebound signal in 3 years (15% → 20%E)
Bootstrapped $3–20M
15% median (SaaS Capital 2026); NRR 103%, GRR 91%
Public markets
Median public SaaS: ~13% growth, ~3.5× NTM revenue (Jul 2026) — the "AI rebound" is concentrated in a few winners
Elite paths
T2D3 is now top-quartile-only; AI-natives run Q2T3 (sub-$1M top quartile ~300%)
05 · The research
The five numbers boards check first
Before growth, investors now look at efficiency. These are the bars, with our position marked where we have data.
Rule of 40 — growth % + profit margin %
Median score
25
CY2025, up from 15 — the biggest efficiency gain in five years (top quartile 43)
Why it matters
+121%
valuation premium for durable clearers; NRR ≥120% earns 21× vs 9× EV/revenue
The AI-era bar
60
Vista's "Rule of 60" (Jan 2026) — an emerging aspiration, not a baseline
Burn multiple — cash burned per $1 of new ARR (skip if profitable)
One master metric — revenue per employee — plus the org ratios that show where teams get heavy.
Revenue per employee by stage
Team mix — ideal vs observed vs us
Ideal (Sacks org model)
50% S&M
40% R&D
10%
Observed median (41 SaaS cos)
39% S&M
31% R&D
14%
16% G&A
G&A above ~16–20% of headcount is the first place bloat hides. India-HQ companies healthily skew heavier to delivery/engineering (Freshworks runs a majority-India team).
Org-ratio cheat sheet
Ratio
Benchmark
Us
Quota-carrying share of sales dept
≥ 1/3
—
SDR : AE
1 : 2
—
PM : engineers
1 : 5–8
—
Manager span of control
5–10 reports
—
ARR per CSM
$1.5–2.5M
—
Sacks SaaS Org Chart; ChurnZero/Gainsight. US-pattern — treat as shape, not law.
The industry already ran this experiment
After the 2023–24 cuts, revenue per employee rose 8–17% in every size band — leaner teams held output (OPEXEngine/Bain). Layoffs continue: ~123K in 2025, ~120K already by mid-2026, increasingly AI-attributed. Median revenue-per-employee keeps climbing ($237K in the ICONIQ set; $175K in Benchmarkit's CY2025 sample).
07 · The research
The Netcore lens
The same benchmarks, re-read for who we actually are: bootstrapped, India-cost-base, AI-enabled martech with messaging revenue.
Martech retention: compressed, then stabilized
Braze 126% → 109%, Klaviyo 119% → 108% — both back to 110% in 2026. The realistic martech NRR bar is 108–110%, not the 120% in generic decks. New nuance: usage-based pricing medians 108% vs seat-based 95% (Benchmarkit CY2025).
The gross-margin ladder — why messaging revenue counts less
Every point of SMS/WhatsApp mix drags margin (Twilio's SMS ≈31% product-level). Below ~65% blended, the market values gross-profit dollars, not revenue — split platform ARR from delivery revenue in every review.
08 · The research
What could go wrong
The costs of the cut itself, and the seven ways benchmark numbers mislead people who quote them.
Return on layoffs
≈ none
Most companies that cut never improve ROA/ROE/ROS (HBR).
Survivors
−20%
performance drop; +31% voluntary resignations after badly-run cuts.
The boomerang
~49%
of employers rehired up to a quarter of cut roles within a year. (Not 75% — that stat is a misread.)
Retention fuse
1–3 qtrs
how long CS/support cuts take to show up as churn. Median GRR already fell to 84%.
09 · Reference
Sources
Every number traces to one of these. If a figure here disagrees with a LinkedIn post, trust the filing.
ORG MAP
People
View
Changes
Data
Heatmap
scroll to zoom · drag the dark to pan · double-click a lead to fold / open their team · drag a person onto someone to change their manager · click to edit · ◯ key person · ● high AI-exposure (est. by Console AI)
Edit person
BENCHMARK CONSOLE
Create your organisation
Map your company once — then chat with it, reshape it, and find the risks.
ENTERING THE ORG
mapping people · reporting lines · risks
Org assistant✎☰⤢‹
Setting up your organisation
Nothing is built until you approve — the chips above are the live setup.
👋 Need a hand? I can build and edit this chart for you — click to chat.