Pricing Playbooks for Founders
How founders set, test, and raise prices — packaging tiers, finding willingness to pay, and the pricing changes that quietly doubled revenue. Each tactic is quoted directly from the founder who ran it.
337 tactics · page 10 of 12
“The free product is so good do I actually need to pay for the premium product? and what is my willingness to pay for that premium product.”
Giving too much away free collapses conversion — fitness apps especially over-deliver in free tier
A fitness client had below-average subscriber conversion rates and below-average pricing — and a subscription survey revealed the root cause: the free product was so compelling that users couldn't articulate the reason to pay. Carter cites Strava as a known sufferer of the same pattern. The fix isn't adding premium features; it's moving meaningful value behind the paywall or reducing what's available for free.
“I actually think it's the one that most often gets overlooked right because especially early stage companies you have a lot of product driven Founders they want to over deliver value for their customers... at some point you have to capture resources back from your best users.”
Value capture is the most-overlooked step — product-focused founders must eventually monetize
Carter identifies value capture (trial start rate, trial conversion, pricing, plan mix, gross margin) as the underinvested step of the Subscription Value Loop. Product-minded founders default to shipping more features but skip optimizing the monetization funnel. The tool benchmarks all value-capture metrics against 30,000+ apps so founders can see exactly how their paywall and pricing stack up against peers.
“Subscription wasn't big for us at the time right now it's most of our revenue and the company 3x or 4X because we properly took the time to like focus on subscription and at the time it was mostly ads and subscription was something that we had but just for the handful of people that wanted to remove the ads.”
Ads-to-subscription pivot 3–4× revenue — the hidden subscription was already converting, just buried
Podcast App ran on ads with a nearly invisible subscription (remove-ads upsell). When Siniawski properly invested in subscription — surfacing the offer, improving the paywall, using RevenueCat — the company's revenue tripled or quadrupled. The lesson: if subscription is already converting for a small segment without any optimization, that's a strong signal that focused paywall investment will compound dramatically.
“We optimize as a true north the business for long-term revenue and I say long-term revenue not short-term revenue because there's a lot of revenue we forgo and don't want to take because we believe it will squeeze you know the funnel in a way that we're not interested in.”
Optimize for long-term revenue even when it means forgoing short-term gains
LinkedIn explicitly declines revenue that would optimize a short-term metric at the cost of member trust or long-term retention. Pricing experiments are evaluated on a 5-year revenue model, not just the first year. This long-term revenue orientation is enforced structurally: there's allocated 'revenue we won't take' and the team has permission to decline short-term extraction tactics. The result is a subscription business running at several billion dollars in annual run rate.
“You'd be shocked how many users of consumer subscription apps don't even know there is a premium version of the product. Make sure a user sees the paywall in their first session — whether immediately after signup or at the end of onboarding. Then pair that with customized paywalls tied to your best premium value props, metered to appear when users hit the feature limit.”
Show the paywall in the first session — most free users never know a premium version exists
Paywall view rate is the upstream lever most apps ignore. Carter and clients doubled view rate by surfacing a contextual paywall in the first session, then layering in feature-specific paywalls when users exhaust free quota. Combining session-one awareness with contextual friction-point paywalls delivered a 30% subscriber conversion lift for one advising client — without changing price or trial length.
“You can't ask users directly how much they'd pay — they'll give you a lower price. Van Westendorp asks four questions around expensive, starting to be a bargain, inexpensive, and too cheap — generating intersection points that give you an optimal price range. Run this before the A/B test. Conjoint analysis helps you find which features drive willingness to pay per segment.”
Run Van Westendorp before A/B price tests — map willingness-to-pay range before spending test budget
Jumping straight to an A/B price test risks testing the wrong range entirely. Van Westendorp's four-question framework maps willingness-to-pay without anchoring bias. Carter adds conjoint analysis to identify marginal value by feature. For a South American edtech client, survey research revealed the Pro-tier's marginal value was near zero — a packaging redesign that would have been invisible to a pure A/B test.
“When you're an early-stage consumer company, ideally you want one plan — either annual only or monthly and annual. Any more complexity and you're going to lose conversion on the margin, simply because people don't have the attention span to make a decision that's that complex. That's different for prosumer or B2B SaaS — for consumer, keep it simple.”
Early-stage consumer apps: one plan only — more than monthly + annual causes decision paralysis
Carter worked with a South American edtech company with Light and Pro tiers plus monthly and annual — four pricing options. Survey research showed marginal value of Pro over Light was minimal, and the multi-tier structure was suppressing conversion through choice paralysis. Simplifying to a single plan is one of the highest-leverage packaging decisions for consumer subscription apps at the Series A/B stage.
“Every one of my clients is looking at some sort of web subscription offering. Those are getting better and better. There's a bunch of names thinking about how do we offer a web subscription tool that provides the same features that the App Store does — at a 5–7% commission rate versus 30%.”
Web subscriptions at 5–7% commission vs. 30% App Store — every client is now testing this
The commission delta between App Store (30%) and modern merchant-of-record web payment stacks (5–7%) is now large enough that every serious CSS company is running web subscription experiments. Crowley sees the shift accelerating: consumers are already being trained to take a small discount, click a web link, and return to the app. The tools are maturing rapidly as Stripe and others build out merchant-of-record products.
“Spotify and Duolingo launched family plans. They acquired the mom and then the mom brought in the dad and the family. You can upsell new features — Quicken, OnX launched global maps versus just your state maps. There are really cool ways that CSS businesses are generating net revenue retention.”
NRR in consumer comes from family plans, upsells, and add-ons — not just price increases
Consumer apps can achieve positive NRR through three mechanisms beyond price increases: (1) family/group plans that expand seats within a single account, (2) feature upsells to premium tiers with new capabilities, and (3) consumable add-ons layered on top of the subscription. Each mechanism requires deep customer data to time correctly — Crowley notes 'you really have to dig deep to understand how these businesses work.'
“We saw a 75% increase in LTV per user through the implementation of this multi-step paywall along with some other pricing and packaging optimizations which has pretty fundamentally altered the full potential size of this business.”
Multi-step paywall drove a 75% LTV lift — freemium is chess while hard paywall is checkers
Carter's biggest win of the year was helping a client shift from a hard paywall to a multi-step paywall: 'this product is free and always will be free, but try the best version for 7 days.' The result was a 75% LTV increase per user. He cautions this is harder to execute than a hard paywall (checkers vs chess) and can backfire — another client saw 50%+ subscriber conversion drop when they tried it. The freemium switch works when strong organic acquisition exists to fill the larger top-of-funnel it requires.
“It used to be the marginal cost of serving a user subscriber for most consumer apps was close to zero. But now with these AI powered products and features that's no longer true because you do have the underlying compute costs to support the AI features.”
AI apps need tiered pricing — compute costs eliminate the zero-marginal-cost software model
The economics of subscription apps changed fundamentally with AI. Duolingo Max, Perplexity Pro, Claude Pro — the pattern is consistent: a free or basic tier without full AI access, and a premium tier for the complete AI-powered experience. Carter argues this structure is necessary for AI apps to protect margins, and that consumers are increasingly receptive because they understand AI compute costs after watching ChatGPT charge $20/month. Bootstrapped and early-stage founders must be especially conscious of this — unlimited AI features at a flat monthly price is often unprofitable.
“If you give away 30 days of free AI feature usage and you have whales racking up massive compute costs without paying you a dime and then they churn — that's not a sustainable business.”
Shorten free trials for AI apps — whales consuming free compute without converting are not sustainable
RevenueCat data shows most apps trending toward shorter trials despite 14-30 day trials outperforming on conversion. Carter believes AI apps are the primary driver — unlimited AI feature access for 30 days is economically untenable at scale. He suspects if you segmented the data by AI vs non-AI apps, the trend would be even more pronounced. Pair shorter trials with strong paywall placement to convert users before they burn through free AI compute budget.
“The average install-to-paywall rate across all the apps we work with is about 20%. The most successful apps get above 80%. If your paywall rate is low, that is probably the most impactful lever you can pull — everything downstream is multiplied by that number.”
Most apps show their paywall to fewer than 20% of installs — fix that first
Jake Moore benchmarked install-to-paywall rate across Superwall's customer base and found the median app exposes fewer than one in five installs to a paywall. Because every conversion metric — trial start rate, trial-to-paid rate — is multiplied by install-to-paywall, lifting that single number compounds across the whole funnel. Moving the paywall earlier in the flow (before onboarding or at app open) is the fastest fix.
“The idea is to show different prices to different users based on their intent level. Someone who came from a targeted ad and just went through your full onboarding is much more likely to convert at a higher price than someone who opened the app cold for the first time.”
Intent-based pricing: show each user the price matching their current demand level
Moore describes intent-based pricing as a natural extension of dynamic paywalls: the same app can show a $14.99/month price to a high-intent user (came from paid acquisition, completed onboarding, interacted with core features) and a $6.99 introductory offer to a cold user. Superwall's data showed this segmentation improved both revenue per paying user and overall trial start rate compared to a single price for all.
“The 30% fee saving sounds compelling. But if your web conversion rate is 40% lower than your App Store conversion rate, you've given back the saving and more. Fee avoidance as a primary motivation is usually a mistake.”
Avoiding App Store fees is not a good reason for web2app — lower conversion often offsets the saving
Petit runs the math that most teams don't: web funnels introduce additional drop-off points (landing page to email capture to onboarding to paywall) that native app funnels don't have. For apps with strong App Store listing conversion and a motivated search-intent audience, the fee saving rarely compensates for web conversion loss. Web2app makes economic sense when the incremental revenue from new audiences or retention levers exceeds the conversion penalty.
“Content creator apps with creator subscriptions — that's currently a huge pain and we get tons of customers coming to RevenueCat: can you solve this? The answer is no because Apple doesn't support it. So Apple is specifically saying they're working on this.”
Advanced Commerce APIs signal Apple is finally opening complex monetization — creator subscriptions and multi-app bundles are coming
Apple's Advanced Commerce APIs, announced at WWDC 2024, explicitly acknowledge that the standard IAP model cannot serve creator subscription platforms, complex SKU bundles, or multi-app content. This is a structural unlock that enables business models — Patreon-style creator tiers, bundled content across apps — that were previously impossible on iOS. Developers building in these categories should register for the partner program early.
“We experimented with a ton of different numbers from $4.99 all the way up to $19.99 a month. $12.49 had the highest LTV lift. That's been the base subscription price since then for the last probably two years or so — and it's still winning after multiple years of looking back.”
Almost doubling the monthly price from $6.99 to $12.49 lifted LTV — and the higher price is still winning years later
Reading.com's first act after gaining access to RevenueCat's Experiments feature was to run a full price ladder from $4.99 to $19.99. The winning price was nearly double the launch price, and longitudinal cohort analysis confirmed it wasn't a short-term anomaly: two years later $12.49 still outperforms on realized LTV. The lesson is that initial pricing is almost always a guess — and systematic testing quickly uncovers significant unrealized value even for products with strong word-of-mouth dynamics.
“We ran a test where we had monthly without a trial trying to push people to annual. It did — we did see more people use the annual option. But ultimately long-term it didn't work out. It ended up with a 17% drop in realized LTV.”
Removing the free trial on monthly to push annual caused a 17% LTV drop — hesitant users need an on-ramp
The now-common tactic of hiding the free trial on monthly plans to coerce users into annual backfired for Reading.com. Users willing to try a monthly plan but not commit to annual are often moderate-confidence users who convert well over time — removing their on-ramp eliminated them from the funnel entirely. The experiment is a cautionary counter-example for apps with high-consideration purchases where trial friction matters more than annual adoption rate.
“We found that about 20% of the users who are starting a trial or completing a purchase on the web are also opting in to purchase this PDF upsell. Right now it's just a Google Drive folder that we send people a link to and they're able to download the PDFs directly.”
20% of users buy a $9.99 printable upsell immediately after starting a trial — one-time IAP adds revenue without subscription churn
Reading.com offers a $9.99 one-time purchase giving immediate access to the full curriculum's printable worksheets — content that is also available progressively inside the subscription. The offer appears immediately post-trial-start or post-purchase, and 1 in 5 users buys it. The materials create offline brand presence in the home, reinforce parent commitment to the curriculum, and generate incremental revenue from users who would have stayed subscribers regardless.
“What felt really fair about the season pass is that I don't forget about it and then I'm charged forever. The season pass gives you a very clear overview of these are the things you can get in this period of time if you spent this amount of money.”
Season passes feel fair because they are time-bounded and require engagement — subscriptions feel unfair when users forget and keep paying
Nørvig identifies the psychological reason season passes outperform subscriptions for engagement-dependent products: they are inherently transparent. Users know exactly what they get, for how long, and the charge stops automatically. Subscriptions accumulate guilt when users stop engaging but keep paying — a feeling that accelerates churn and brand damage. For apps where usage is periodic or goal-oriented, the season pass model may fit better than perpetual subscription.
“Somewhere between 80 and 85% of revenue still to this day comes from advertising. What the ads allow us to do is to also be available and support markets that would not traditionally have subscription apps or use in-app purchases — Tier 2, Tier 3 — where most other big brands would not advertise.”
80-85% of Subway Surfers revenue comes from ads — rewarded video lets users pay with attention, opening Tier 2/3 markets subscriptions can't reach
Subway Surfers' massive global download share in lower-GDP markets is enabled by ad monetization — markets where $10/month subscriptions represent real economic friction but watching an ad costs nothing. For subscription apps looking to grow internationally, rewarded video and interstitial ads offer a genuine monetization path in markets where subscription conversion is structurally low, allowing reach without sacrificing the premium tier in high-income markets.
“Apps in general I think have left the premium user out in a lot of cases. Either have some very heavily ad-monetized thing which often doesn't work very well or the subscription apps just don't generate as much from ads. Gaming is at the forefront of monetization and I joined the industry in 2013 — it's an amazing industry to follow.”
Subscription apps can adopt season passes, rewarded ads, and one-time IAPs — gaming is a decade ahead on hybrid monetization
Nørvig and Jacob Eiting agree that subscription apps are roughly a decade behind mobile gaming in monetization sophistication. Gaming has normalized season passes, rewarded video, consumable IAPs, and subscription tiers coexisting in a single product. Subscription apps overwhelmingly choose one model and leave users who want to pay less or more stranded. Developers who explore hybrid monetization now are building the playbook others will follow.
“LTV is particularly hard in the early days. What I advise people to do is think more about your range of possible outcomes. You're getting a directional estimate at best — so run a range of scenarios and assign some probabilities to them, come up with your best estimate, start making decisions, and go back and check it every month or two.”
LTV is a terrible metric to buy against — use capped time-horizon cash flow predictions instead
Falzon argues 'lifetime' value is literally incalculable — cohorts from six years ago still renewing mean there is no finite lifetime to average. The practical alternative: cap LTV at a specific time horizon (2-3 years is common), separate payback period as a distinct metric, and run scenario analyses with probability weights rather than claiming a single LTV number. Early-stage companies need tight payback periods because they lack cash; mature companies can extend payback windows and buy against longer-horizon projections. The wrong approach is picking a single LTV number and treating it as fact.
“If you have a 5% buffer on retention before this price test winner is no longer a winner, maybe don't roll that one out. If retention can go down by 50% and that thing's still a winner — close your eyes and roll it out. Sensitize it to say: if retention comes in 10% worse, does it change my answer?”
Price increases hurt annual retention more than monthly — sensitize tests before rolling out
Falzon describes a recurring mistake at Mosaic: price tests run against monthly subscribers produced misleading signals about annual subscriber impact. Monthly retention data arrived quickly; annual renewal data took 12+ months. Teams would roll out a price increase that looked like a winner on monthly data, then a year later discover annual churn spiked and the test was actually a loss. The fix: before rolling out any price test, model the range of retention impacts and check whether the outcome is still positive under the pessimistic scenario.
“Our paid penetration went from about 20% to 9% and that's scary when you see this chart — but it was the right decision. When you give the product away for free, the people that are using the product become your marketing. We've seen a massive increase in organic growth as a consequence.”
Freemium conversion dropping from 20% to 9% was the right call — free users became Opal's best marketers
Schlenker describes Opal's switch from a hard paywall to freemium: paid conversion cut in half but organic DAU growth exploded. The free tier unlocked students as a second segment — two-thirds of DAUs are now students — which in turn opened a third segment: schools purchasing institutional phone-policy products. Revenue recovered and grew as the larger user base multiplied organic sharing. The counterintuitive principle: for mass-market problems, revenue efficiency and user scale are often in tension, and temporarily sacrificing conversion rate to capture a larger installed base pays back over years.
“if you're making 20 cents per install in the state there is no UA manager on Earth that can attract traffic that is going to be profitable like so running a bit of a very simplistic very basic what proximately is my Revenue per user.”
Revenue per install below $1 in the US means no UA manager on Earth can save you
Before touching paid UA at all, check your effective revenue per install from organic sources. If it is under $1 in tier-1 markets, unit economics make profitable buying impossible regardless of channel or creative quality. This reality check saves founders from burning budget on a fundamentally broken funnel rather than a fixable creative or audience problem.
“I wouldn't be shocked to see everyone having something between 15 to 20 in the next two to three years especially as new categories came up right like four years ago no one had an AI buddy in their pocket nobody now right it's one of the fastest growing companies of all time mostly consumer.”
Subscription fatigue is overplayed — the real ceiling is 15–20 subscriptions, not 3
Crowley's data shows consumers are rational, not subscription-fatigued: they cancel things they don't use and willingly pay for things that save time or add real value. Today's average subscriber count is 6–8 and trending toward 15–20. The ceiling isn't wallet exhaustion — it's product quality and genuine utility. Every category delivering consistent value earns its slot.
“I'd say like the last two years every one of my clients and I do mean everyone is building web funnels and I think one they're just not as worried about Apple coming after them or being mean right and we've all heard stories about product updates getting jammed up.”
Every serious-scale app is now building web funnels — fear of Apple retaliation has faded
Crowley reports a near-universal shift among large consumer subscription apps toward web payment funnels, driven by two factors: Apple's enforcement posture softened after losing the Epic lawsuit, and the business case at scale is compelling — getting back 15–20% margin at $100–200M revenue is multi-million dollar EBITDA improvement. For smaller apps the calculation is less clear, but the direction of travel is unmistakable.
“there's another arm of it that's going to be fully outsourced content production that's going to be the contact us for pricing because I can't do that for every company because it starts to feel weird and so there's going to be just way fewer opportunities there”
Use 'contact us for pricing' when delivery is the real bottleneck
For high-touch services where Aaron personally does on-camera work, he deliberately hides pricing. The friction is the point: it caps inbound to a volume he can actually deliver on and signals scarcity. Public pricing is for productized offerings; bespoke work needs a conversation gate.
“premium is not a revenue model it's an acquisition model it does make acquisition easier but I'm going to put that in finger quotes because while it makes it easier it puts a lot more pressure on having an incredible product experience”
Freemium is an acquisition model, not a revenue model
Freemium is one of the hardest models for a bootstrapper to make work. It demands a massive TAM with real willingness to pay AND a dialed-in onboarding flow — most solo founders don't have the product engineering depth to nail both. A self-serve free trial (ideally opt-out credit card) is almost always the better default until the activation curve proves itself.