Peer benchmarks
You are in the $100–250 ARPU cohort
Your average revenue per user is $171.06, which places you among 830 anonymized peer companies. You beat the cohort median on 2 of 9 metrics — behind the pack for $100–250 ARPU companies. Start with the red cards below.
- <$10
- $10–25
- $25–50
- $50–100
- $100–250 (your cohort)
- $250+
How you stack up
The A marker is your workspace; ticks mark your cohort's lower quartile, median and upper quartile.
Monthly Recurring Revenue
Normalized recurring revenue across all active subscriptions.
$146.6k
youYou're outranking 79% of companies in your cohort. Good job!
- Raise prices for new customers first. Most SaaS underprices by 20–40%; grandfather existing plans and A/B the new tier — MRR moves without touching churn.Watch the impact in Metrics
- Push annual prepay at checkout and in dunning emails. Annual plans lift effective MRR stability and cut involuntary churn to near zero for 12 months.
- Add a usage- or seat-based expansion axis so your best customers grow their own bill instead of plateauing at the top tier.Find expansion candidates
- Model 'what if' pricing moves before you ship them — a 10% price lift usually beats a 10% signup lift on net revenue.Run it in Forecast
Lifetime Value
ARPU ÷ user churn — expected revenue per customer over their lifetime.
$2.7k
youYou're behind 69% of your cohort. There's clear room to close the gap on the median.
- LTV is ARPU ÷ churn — attack the denominator first. A one-point churn reduction is usually worth more than a two-point ARPU raise.See why customers leave
- Move upmarket one notch: add a tier 2–3× your current top plan with priority support and SSO. Bigger customers churn less and pay more.
- Recover failed payments before they become churn — involuntary loss silently caps LTV in most cohorts.Turn on Recover
- Trigger expansion prompts at usage thresholds (seats, volume, features) instead of waiting for renewal conversations.Segment power users
User Churn
Customers lost in the last 30 days as a share of the base 30 days ago.
6.3%
youYour user churn is at the higher end of the cohort — here's why that matters: it compounds every month, quietly dragging on growth. The tactics below are the fastest levers.
- Instrument cancellation reasons and act on the top one each month — companies that close the loop on exit feedback cut voluntary churn 15–30%.Set up Cancellation Insights
- Fix week-one onboarding: churn is decided in the first session. Ship a checklist that gets every signup to the core 'aha' action within a day.
- Offer a pause or a one-notch downgrade at the cancel moment — saving 20% of cancels is routine with a well-placed retention offer.Configure retention offers
- Separate involuntary churn out: failed cards masquerade as churn. Dunning recovers most of it automatically.Start dunning campaigns
Revenue Churn
MRR lost to cancels and downgrades ÷ MRR 30 days ago.
3.7%
youYou're behind 69% of your cohort. There's clear room to close the gap on the median.
- Dunning is the highest-ROI fix here — failed charges are usually a third of gross revenue churn, and 60–70% of them are recoverable.Recover failed charges
- Add friction-free downgrade paths before customers hit cancel: a $29 'parking' tier keeps the logo and the payment method on file.
- Watch which plans bleed revenue — churn concentrated in one tier is a packaging problem, not a product problem.Break MRR out by plan
- Counter contraction with expansion: annual-renewal reminders plus seat-usage nudges routinely flip net revenue churn negative.Project the effect
Active Customers
Customers with at least one paying subscription today.
857
youYou're outranking 84% of companies in your cohort. Good job!
- Tighten trial-to-paid conversion: shorten trials to 14 days, require a card for the highest-intent segment, and email on day 3, not day 13.Track trial metrics
- Win back recent cancels with a time-boxed reactivation offer — customers who left in the last 90 days convert at 5–10× cold traffic.Build a canceled segment
- A free plan grows the top of funnel (28% of your cohort has one) — but gate the one feature your paying customers value most.
- Keep delinquent customers active instead of losing them: in-app banners plus card forms recover payers without support tickets.Enable in-app recovery
Quick Ratio
MRR gained (new + expansion + reactivation) ÷ MRR lost. 4+ is healthy.
1.4×
youYou're behind 68% of your cohort. There's clear room to close the gap on the median.
- Quick Ratio = growth ÷ loss. Fastest lift: cut the denominator by recovering failed charges — pure loss removed, no new spend.Cut involuntary loss
- Build an expansion engine: usage-based add-ons and seat growth turn your existing base into a second growth channel.Find upgrade-ready accounts
- Reactivations count as gains — run a quarterly win-back campaign to recent cancels with a concrete 'what changed' message.
- A ratio under 1 means you're refilling a leaky bucket. Prioritize churn work over acquisition until you're back above 2.Diagnose the leak
Failed Charges ($)
Dollar value of charge attempts that failed in the last 30 days.
$6.2k
youYou're behind 68% of your cohort. There's clear room to close the gap on the median.
- Turn on dunning: a 7-email sequence over 30 days recovers the majority of failed charges on autopilot — this is Recover's whole job.Set up Recover
- Send card-expiration reminders 30 and 7 days before expiry — preventing the failure beats chasing it.Enable expiry reminders
- Drop one-click recovery links into every failure email so customers can fix a card in 20 seconds from their phone.
- Retry smart, not hard: schedule retries around paydays (1st/15th) instead of burning attempts into 'too many tries' blocks.
Failed Charge Rate
Failed attempts as a share of all charge attempts in the last 30 days.
5.0%
youYou're behind 64% of your cohort. There's clear room to close the gap on the median.
- Your failure rate is mostly preventable: card-updater coverage plus pre-expiry reminders removes the 'card expired' slice entirely.Enable card reminders
- Write card updates straight back to your processor so a fixed card fixes every future invoice, not just one.Configure write-back
- Escalate in-app: banner for delinquents, then a grace-period paywall. Customers fix cards fastest when the product asks.
- For high failure rates on one brand or region, add a local payment method — insufficient-funds patterns often track payday cycles.
Revenue Growth
MRR today vs 30 days ago, as a monthly growth rate.
1.4%
youYou're behind 68% of your cohort. There's clear room to close the gap on the median.
- Compounding starts with retention: at your cohort's median churn, a point of churn saved is worth roughly a point of growth gained.Reduce churn first
- Price for growth: test a 10–20% increase on new signups. Your cohort's upper quartile grows mostly through ARPU, not volume.Monitor ARPU
- Set a monthly MRR goal and review the movement breakdown weekly — growth problems hide in one movement type (new vs expansion vs churn).Set goals in Forecast
- Stop losses you already earned: recovered failed charges land straight on the growth line.Recover revenue
Pricing insights
How companies in the benchmark pool package and price their plans.
Peers with a free plan
28%
Round-dollar pricing
71%
Prices ending in 9
44%
Average live plans
13
Most popular price points
Monthly plans
- 1$4914.2%
- 2$2912.8%
- 3$9911.5%
- 4$199.7%
- 5$98.4%
- 6$796.9%
Annual plans
- 1$49011.8%
- 2$29010.6%
- 3$9909.3%
- 4$1998.1%
- 5$5886.4%
- 6$995.2%
Your pricing vs the market
- Entry plan price
- $19$1047.4%
- Top plan price
- $199$1k403%
- Live paid plans
- 13147.7%
- Annual discount
- 16%20%25.0%
Your lineup: 14 paid plans, no free plan (28% of your cohort has one), 14 at round-dollar prices and 6 ending in 9. Charm pricing (…9) skews toward self-serve, low-ARPU cohorts; round dollars read as premium.
Failed payments
Where peer revenue leaks — and how your failure rate compares.
Cohort median is 3.6% — peers at your ARPU lose less to failed payments than you do.
Recover this revenueWhy charges fail
Share of all failed charges across the benchmark pool.
Failure rate by card brand
Share of attempts that fail, per brand, across the pool.
Visa accounts for the largest share of failed charges (48.9%) simply because it processes the most volume — the rate above is the fairer comparison.
Anonymized benchmark sharing
ContributingBenchmarks are built from workspaces that opt in. Your metrics are normalized into ratios and quartiles, stripped of names, emails, customer records and absolute identifiers, then pooled with the 830 companies in the $100–250 cohort. No cohort is published with fewer than 50 contributors, so no single company is ever identifiable — and nothing here is ever sold or shared outside aggregate form.
Opting out stops future contributions immediately and removes your workspace from the next aggregation run. You keep full access to cohort benchmarks either way.