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61% Price Hike: The 38% Break-Even Churn Math

  • Oct 21, 2026
  • 21 min

Show notes

What the episode covers

This ARR Autopsy episode tests a 61% price increase on existing customers in a B2B SaaS business. There is no guest, and the founder's company name and ARR are not shared on air. The biggest takeaway: revenue only falls below its starting point if about 38% of customers leave, and that break-even is a ceiling, not a target.

This is the Wednesday episode for Week 43 of 2026. Topics covered:

  • Why playbooks promising under 5% churn on a 20-30% raise do not carry over to a 61% raise
  • How the break-even churn formula works on a $100 plan with 100 customers, and why losing 30 customers differs from losing 45
  • How to sort leavers, downgraders and non-noticers in a cohort table before judging ARR and growth effects
  • How grandfathering windows and announcement timing compare, plus a four-step pre-renewal checklist

Hosts: Derek and Elena, ARR Autopsy (no guest this episode)

Timeline

In this episode

7 moments worth skipping to. The timecodes match the player above.

  1. 0:11Introduction
  2. 1:34What the Playbooks Promise
  3. 4:53The Break-Even Churn Math
  4. 9:03The Turn: Who Left, Who Downgraded, Who Didn't Notice
  5. 12:58Grandfathering Window and Announcement Timeline
  6. 16:52The Pre-Renewal Checklist
  7. 19:44Outro

Quick answers

Straight from the episode

The questions this one settles, without the listen.

How do you calculate break-even churn for a price increase?
Break-even churn is 1 minus old revenue divided by new revenue, at the same customer count. The episode's example is a 35% price rise, where losing about 33% of customers erases the gain. For a 61% raise on a hundred-dollar plan, break-even comes to about 38%.
Is break-even churn a good target for a price increase?
No. The episode treats break-even as a ceiling, not a target. For a 61% raise the ceiling is about 38%, but the goal is to land well below it. Staying under break-even only means you have not lost revenue, so it is not proof the increase was a good move.
What should a cohort table show after a price increase?
It should split customers into leavers, downgraders and non-noticers. For leavers, check the count, the percentage against the roughly 38% break-even and the under-5% playbook figure, plus customer type, timing and exit reasons. Downgraders may still pay more than before. Silence from non-noticers is not approval.
How long should you grandfather existing customers when raising prices?
Blakkbear suggests a six-to-twelve-month window with a written end date. It also warns against keeping a second price list and recommends a ten-deal test. Rework frames grandfathering as a trust-versus-revenue trade-off and suggests honoring annual or multi-year contracts. SaaSRise recommends testing first, then grandfathering, then reading churn.
Do the standard price-increase benchmarks apply to a very large raise?
Not necessarily. The hosts cited unverified benchmarks of an 11% median list increase, about 1.2% median incremental churn and 0.4% for the top quartile. Elena questioned whether they carry over to a much larger raise. The episode treats them as playbook figures to test against your own data.
What is the pre-renewal checklist for a price increase?
It is a four-step checklist to run before renewal. It also covers separating price effects from communication effects by comparing groups, and what to do if your data can't make that split. It closes by naming break-even, about 38% for a 61% raise, as the ceiling.

Transcript

The full conversation

Every word of the episode, 3,232 of them, in the order they were said.

Read the transcriptHide the transcript

Derek Simmons61%. That's how much the brief says a founder raised prices on existing customers. And the breakeven math says revenue only falls below where it started if more than 38% of them walk.

Elena Reyes38. Hold on, that's more than a third of the base.

Derek SimmonsMeanwhile, the playbooks promise under 5% churn.

Elena ReyesUnder five against 38. Those two numbers shouldn't live in the same sentence.

Derek SimmonsWelcome to ARR Autopsy. I'm Derek, this is Elena, and we cut open revenue numbers to see what they actually mean.

Elena ReyesAnd I'm the one asking where the number came from, because one playbook on Justin McKelvey's site frames the standard advice as raising prices twenty to thirty percent with less than five percent churn.

Derek SimmonsWhich is a lot softer than sixty-one.

Elena ReyesWay softer. So let's be plain about what this episode is. We're working from the brief and the formula, and the founder's own figures aren't read on air.

Derek SimmonsRight. So the question is how much loss a hike this size can absorb and what you should check before your own renewals. Before we open the formula, let's see what the playbooks promise.

Elena ReyesFine, but I'm checking their homework.

Derek SimmonsOkay, so the creator brief for this episode frames the founder's raise as 61% on existing customers in 2026, and it sets that against playbooks promising that a modest raise barely dents retention.

Elena ReyesWhich is a fun setup because the advice is everywhere. Raise prices, nobody leaves, go buy a boat.

Derek SimmonsNobody has ever bought a boat off a retention curve.

Elena ReyesFair, but give me actual numbers. What does the advice look like when someone aggregates it?

Derek SimmonsSo the 2026 roundup on Digital Applied pulls together benchmarks it attributes to ChartMogul, Paddle, and ProfitWell. Big caveat, none of it is independently verified.

Elena ReyesNoted. Go.

Derek SimmonsThe median list price increase is 11%.

Elena ReyesEleven?

Derek SimmonsEleven. And after grandfathering, the realized increase is about 6%.

Elena ReyesWait, so the raise on the pricing page is nearly double the raise that shows up in revenue?

Derek SimmonsThat's what the roundup claims. Old customers keep old prices, so the headline number leaks before it lands.

Elena ReyesSo on a hundred dollar plan, the pricing page says eleven dollars more and the bank account sees about six.

Derek SimmonsOn average, per the roundup. Your own gap depends on how many customers you protect with an old rate.

Elena ReyesClassic problem. Okay, and the churn?

Derek SimmonsAbout 1.2% of incremental annual churn at the median. For the top quartile, 0.4.

Elena Reyes0.4. That's rounding error. That's a customer who forgot their password.

Derek SimmonsMost of a customer anyway.

Elena ReyesSeriously, though, picture a hundred customers. 1.2% is about one account. That's the median outcome the advice is built on.

Derek SimmonsAnd that's the number people quote at founders at the exact moment they're nervous. Small raise, about one account gone, relax.

Elena ReyesBut hold on, though. Do these benchmarks even apply here? Everyone in that median is doing a raise a fraction of the size, and half of them are grandfathering the pain away.

Derek SimmonsRight. The sample is mostly small moves with soft landings. Using it to judge a giant raise is like using the speed limit on a residential street to judge a rocket.

Elena ReyesHa. So they're a reference point, not a forecast.

Derek SimmonsExactly. And there's a second claim worth poking because it's about how you raise, not how much. A site called SaaS Buyer's Guide says vendors who raise prices without warning or context see 19% higher churn the following quarter.

Elena Reyes19% higher. Higher than what?

Derek SimmonsAh, you spotted it. The statistic is unsourced. No method, no baseline. So treat it as a claim, not a finding. We can't even tell whether it means 19% more than normal churn or 19 points stacked on top.

Elena ReyesMm, but I'd still steal the idea. It treats a price change as a communications and retention problem, not just a finance decision.

Derek SimmonsWhich gives us something to test against any announcement timeline later. Warning, context, the whole sequence.

Elena ReyesSo the sunny picture is small raises, small churn, and a bad rollout is the villain.

Derek SimmonsRight. Now, a founder who goes 61% isn't in that picture at all. So how much loss can a raise that big actually absorb before the whole move backfires?

Elena ReyesThat's a formula question, and I have a calculator open.

Derek SimmonsOkay, so the formula, it's one line. One minus old revenue divided by new revenue at the same customer count.

Elena ReyesSame customer count. That's the part people skip.

Derek SimmonsRight. You freeze the head count and ask one question. How many customers can walk before the bigger bill stops paying for itself?

Elena ReyesGive me a worked example because my brain turns to soup at the word divided.

Derek SimmonsThe pricing calculator page from tech.coach has one. A 35% raise breaks even at about 33% customer loss.

Elena ReyesWait, that's almost the same number. Raise thirty-five, lose thirty-three, and you're flat.

Derek SimmonsFlat on revenue, not flat on happiness.

Elena ReyesObviously, nobody sends a thank you card for a price hike.

Derek SimmonsNow run the founder's 61% hike through it. Same formula, and it lands at about thirty-eight.

Elena ReyesWalk me through that one with real numbers, slowly.

Derek SimmonsSay every customer pays $100. A 61% raise makes it $161. Old revenue over new revenue is one hundred over one hundred and sixty-one, which is about 0.62. And one minus point six two is point three eight, 38%.

Elena ReyesSo if you start with a hundred customers and sixty-two of them stay at the new price, you're back to roughly the revenue you started with.

Derek SimmonsExactly. Same revenue, thirty-eight fewer customers to support. That's the break even.

Elena ReyesHmm. Thirty-eight is higher than thirty-three even though the raise is way bigger. Why does the bigger raise not just blow the doors open?

Derek SimmonsBecause the gain is lopsided. The bigger the raise, the more customers you can afford before the total revenue drops.

Elena ReyesOh, so a huge raise buys you a huge cushion.

Derek SimmonsOn paper. And that same page warns that any model where every customer stays after a rise is unrealistic.

Elena ReyesWhich is the polite way of saying somebody's going to leave.

Derek SimmonsSomebody always leaves. The formula just tells you how many somebodies you can afford.

Elena ReyesOkay, but here's my itch. This is a ceiling on pain, not a prediction. A founder could clear the bar and still have blown up the best accounts.

Derek SimmonsClassic problem. Revenue looks fine. The customer list looks like a clearance rack.

Elena ReyesThere's a piece on SaaSRise about a vertical SaaS founder staring at a seven-figure gap between two pricing paths.

Derek SimmonsSeven figures. That's not a rounding error. That's a decision.

Elena ReyesAnd that founder walks through the break-even churn math. So this isn't a nerd exercise. It's the thing people reach for when the stakes are real.

Derek SimmonsWhich brings me to what you'd ask of your own spreadsheet. We're not reading the founder's sheet on air, so this is the checklist, not the reveal. First question: what's your break-even?

Elena ReyesAnd what's it built on? Which customer count? Which revenue base? Because if the base is wrong, the thirty-eight is decoration.

Derek SimmonsGood catch on the base. Does it include the customers already on a grandfathered rate or only the ones who got the full hike?

Elena ReyesMm, that could move the answer a lot.

Derek SimmonsIt could. The cleanest move is to run it twice, once on everyone and once on only the full hike customers. If the two answers disagree, the second one is the honest one.

Elena ReyesLet me make the cushion concrete though. Back to a hundred customers at a hundred dollars. Lose thirty, keep seventy at one hundred sixty-one, and revenue is about eleven thousand two hundred and seventy.

Derek SimmonsUp from ten thousand. Now lose forty-five. Fifty-five customers at a hundred sixty-one comes to about eight thousand eight hundred fifty-five.

Elena ReyesBelow the starting line. So the break even sits between those two outcomes, right where thirty-eight says it should.

Derek SimmonsAnd that's why it's a ceiling. Clear it with room to spare, and you still have to ask which fifty-five you kept.

Elena ReyesSo the cohort table, who actually left?

Derek SimmonsOkay, the turn. Three buckets in a cohort table. Who left? Who downgraded? Who didn't notice? We're not reading anyone's figures aloud here, so this is what to look for in each bucket. Start with the leavers.

Elena ReyesFirst, the count, then the percentage. Out of the whole base, how many customers walked? Because that percentage gets compared to two things.

Derek SimmonsWhich are...

Elena ReyesThe roughly thirty-eight percent break-even we just computed and the under five playbook number. Both comparisons can come out differently at once. Under the line on the math, far over on the blog posts.

Derek SimmonsPlot twist. You can win the math and still lose the argument with the blog posts.

Elena ReyesAnd the brief says that's the point. One real cohort table plus the break-even math that justified the move, not averages from fifty companies.

Derek SimmonsNext question for the leaver row. Which type of leaver? Small accounts? Big accounts? The ones on the oldest plan?

Elena ReyesAnd when? Within days of the email or at renewal? A leaver who goes the week after the announcement tells a different story from one who goes eight months later.

Derek SimmonsFair. And did they say why? Because one aggregated benchmark lists pricing or budget cuts as twenty-three percent of churn drivers.

Elena ReyesDigital Applied compiled it, attributing the data to ChartMogul, Paddle, and ProfitWell, and it's not independently verified.

Derek SimmonsSo even in a normal year, price and budget cause a chunk of churn, roughly a quarter.

Elena ReyesExactly. Which makes the exit reasons a useful test. If a leaver says price, fine, that's the hike working as feared. If they say they'd already moved to a competitor in the spring, the hike gets blamed for something it didn't do.

Derek SimmonsOh, that's the sneaky part. Every leaver after a hike looks like a hike casualty.

Elena ReyesMm-hmm. Somebody who was leaving anyway just got a convenient excuse.

Derek SimmonsSo ask for the reason on each row, not the guess, the actual words from the cancelation.

Elena ReyesNow the downgraders, different animal. They didn't leave, but they did something with their wallet.

Derek SimmonsWhich is the group I care about for cash flow. A customer who cuts a plan tier keeps the logo and shrinks the line item.

Elena ReyesWait, that's the one that can hide. The headline says nobody churned, and revenue quietly drops under it.

Derek SimmonsClassic problem. Logo retention looks fine while the dollars leak.

Elena ReyesSo for the downgrade row, you want how many, which tier they dropped to, and whether the new price still beat what they paid before.

Derek SimmonsSay that last part again. Beat what they paid before?

Elena ReyesA customer can downgrade and still pay more than they did last year. Then the hike worked on them even though the spreadsheet tags them as a loss.

Derek SimmonsHuh. Okay, that one I'd want to see in numbers before I called it a win or a loss.

Elena ReyesAnd then the third bucket, the ones who didn't notice.

Derek SimmonsMy favorite customers, the ones who pay the invoice and never open the email.

Elena ReyesBut how do you know they didn't notice? No ticket, no reply, no cancelation. That's an absence, not an evidence.

Derek SimmonsRight. Silence isn't approval. The better test is whether they're still paying the new price after their next renewal point.

Elena ReyesAnd how big is that group? If it's the majority, the story changes. Then the hike is mostly a billing event.

Derek SimmonsAnd if it's tiny, then everyone noticed and everyone stayed anyway, which is a whole different kind of interesting.

Elena ReyesPut the three rows side by side, and the answer is never one number. Leavers set the floor on damage. Downgraders show the leak. Non-noticers show how much of the raise was friction-free.

Derek SimmonsFair warning, the leavers are one side of the ledger. The other side is how a founder sequenced the hike and softened it for people, because I'd bet that changes who ends up in which row.

Elena ReyesWhich means you need the order things were done in, what went out first, and to whom.

Derek SimmonsOkay, so the leavers are one column. Now the sequencing. How long did the old price stay alive, and when did people find out?

Elena ReyesRight, and I want dates, not we gave them a heads-up. Actual calendar days.

Derek SimmonsBlakkbear has a benchmark for the window. Its pricing reset post recommends grandfathering for a stated period, usually six to twelve months.

Elena ReyesStated, meaning somebody wrote it down.

Derek SimmonsExactly that. The end date goes right into the announcement.

Elena ReyesHuh. So no until further notice.

Derek SimmonsBlakkbear argues against it. Open-ended grandfathering creates a second price list, and that complicates every later change you make. Oh, man, I know founders running two price lists right now. One of them is a Post-it.

Elena ReyesSpreadsheet tab four. Nobody opens tab four. Wait, though, is a long window always better? Twelve months of the old price sounds like twelve months of eating the discount.

Derek SimmonsThat's the tension. Rework's grandfathering explainer says it protects trust and reduces churn, but you give up revenue and add complexity.

Elena ReyesSo it's a trade, not a freebie.

Derek SimmonsRight. And Rework says annual or multi-year contracts at fixed prices should be honored. Breaking them carries legal and reputational risk.

Elena ReyesWhich kills the fantasy of emailing everybody on Monday and billing the new rate Tuesday.

Derek SimmonsWhich means for those accounts, the new price effectively waits until the contract term ends. Honor the term, then reprice.

Elena ReyesSo sort your accounts by contract end date before you write one word of the email. Those dates are your real rollout schedule.

Derek SimmonsRework also recommends a middle path between pure grandfathering and forced migration.

Elena ReyesMiddle path. Very diplomatic. What does that look like, though?

Derek SimmonsThe source doesn't spell it out in what we have, so I'm not going to invent it. That's a question to put to any founder's spreadsheet.

Elena ReyesFair.

Derek SimmonsOne more from Blakkbear. Test the new price on the next ten deals before you touch the base.

Elena ReyesTen? That's small enough to do this quarter.

Derek SimmonsAnd it's cheap insurance. If those ten balk, you learn that before a single existing customer gets an email.

Elena ReyesWhat I'd watch is whether the ten even reach a quote and whether anyone asks for a discount before they've seen the value.

Derek SimmonsAnd SaaStr's price increase playbook, built from founders who've done it, covers the same ground. Test with new customers first, handle grandfathering, and read your churn data before you move.

Elena ReyesWhich is the order I want to check. Did a founder test first, or did the base find out at the same time as the sales pipeline?

Derek SimmonsSo here's what we'd want from any founder's timeline: window length, announcement dates, and the Tuesday morning the email went out. What was in the inbox? Who replied? Who called?

Elena ReyesYes. Who replied in an hour and who replied in a week?

Derek SimmonsAnd then you hold those answers up against six to twelve months, an end date in writing, and a ten-deal test.

Elena ReyesSo does a timeline pass?

Derek SimmonsOnly the founder's own sheet could answer that, and we're not reading it on air. So treat all of this as a test.

Elena ReyesThen my side. A hike this size should unlock something, or we're just admiring a bigger invoice. Did expansion move after the new price landed? Count only what the sheet shows. Upgrades, add-ons, seats, whatever is there.

Derek SimmonsAnd if the sheet shows nothing?

Elena ReyesThen that's the finding. I'll take a flat line over a flattering story.

Derek SimmonsSpoken like someone who's been burned by a dashboard.

Elena ReyesDude, we've all been burned by a dashboard.

Derek SimmonsFine. And that's useful right now for anyone with renewals coming.

Elena ReyesSo what do you check before your own twenty twenty-seven renewals?

Derek SimmonsOkay, verdict time. We're working from the brief and the formula, so the verdict is a test, not a number we're handing you. Real churn either lands under the break-even line or it doesn't. Then the second question, was it the price or was it the email?

Elena ReyesSecond question is the sneaky one, because if someone leaves, you can blame the price. If someone stays, you can credit the announcement. Neither claim is free.

Derek SimmonsSo how would you actually pull those apart on a sheet?

Elena ReyesCompare the groups against each other. Take the customers who got a clear, dated announcement and the ones who got a vague one if your sheet has both. If leavers cluster in one group, that points at the email. If they spread evenly, that points at the price.

Derek SimmonsAnd if everybody got the same email, you can't separate them at all.

Elena ReyesRight, and then you say so out loud. That's a fine answer. A made-up cause is not one.

Derek SimmonsRight. So which playbook do we borrow for the forecast?

Elena ReyesNone of them. Justin McKelvey's playbook frames a twenty to thirty percent raise with under five percent churn. That's a different scenario from sixty-one, so it can't serve as a forecast. And the brief's test is one real cohort table, not a borrowed benchmark.

Derek SimmonsFine. So what does a listener actually do before their own renewals? Step one.

Elena ReyesCompute break even first, before the email, before the pricing page, before anyone feels brave, and treat it as a ceiling, not a target. Clearing it only means revenue didn't fall. It doesn't mean the raise was healthy.

Derek SimmonsStep two, a dated grandfathering window. Not for a while, a date.

Elena ReyesA date on the calendar. Customers can plan around a date. They can't plan around a vibe. And check your contract terms while you're there because annual deals at fixed prices wait for their end date.

Derek SimmonsStep three.

Elena ReyesAnnounce with context. Say why the price is changing and what they get. A bare number in an email reads like a ransom note.

Derek SimmonsWith worse formatting.

Elena ReyesAlways worse formatting.

Derek SimmonsAnd step four, my favorite because it's where founders get lazy, track leavers, downgraders, and non-noticers separately.

Elena ReyesSeparately because one blended churn number hides everything, and the person who never opened the email is not a win you earned.

Derek SimmonsAnd if your sheet can't separate those?

Elena ReyesThen the honest verdict is that you don't know yet, and the fix is better tracking before the next raise, not a better story afterward.

Derek SimmonsSo here's where the arc lands. For a sixty-one percent raise, the formula gives about thirty-eight percent as the ceiling on customer loss. Without the founder's cohort figures in hand, the verdict stays a test, and the method is what you take home.

Elena ReyesThirty-eight, that's the number I'm picking for the wrap.

Derek SimmonsSo the number Elena just picked, break-even churn about thirty-eight percent for a sixty-one percent raised. Run it before you send a single email.

Elena ReyesA ceiling, not a forecast.

Derek SimmonsAnd the one check before renewals, sort last year's leavers. Left, downgraded, didn't notice.

Elena ReyesDerek has been burned by blended percentages. We've all seen the scars.

Derek SimmonsI still flinch at pie charts.

Elena ReyesOkay, call to action time. Send this episode to one founder who's staring at a twenty twenty-seven renewal list and sweating. Just one. Pick the friend who says, "We'll see what happens."

Derek SimmonsSubscribe on YouTube or in your podcast app, and leave a review because that's how more founders end up showing us real numbers instead of vibes.

Elena ReyesReal spreadsheets. Messy tabs welcome.

Derek SimmonsEspecially tab four. Go open it.

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