
PR review time: 10 minutes
Today’s one idea / first-party data, revealed
Hey everyone, quick little housekeeping note before we start today’s edition.
The Diff is obviously a new thing, most of you know me from How They Grow.
HTG was looong-form company case studies. One company. Everything you need to know about their story, growth and product. 40 minute reads…deep stuff with lots of analysis, but also, a big ask of you.
The Diff (pre today) was the flip side. Shorter, talking about my own apps. Building in public energy. More a “here’s what I’m doing”. But what I’m doing isn’t always going to be super interesting.
The Diff (now) is a hybrid. Each week, I’m going to pick one stealable product idea or growth play I’ve seen in the field. It will come with evidence from winning companies who shipped it (various mini studies vs one big one), and then where relevant, proof from me trying it in our build-in-public lab. Putting things to practice in either Little Moments, Good Times, or DataDonkey.
This blends the actionable idea we both need to grow our products, with the research and analysis you know deserve and know me for, with the shorter and personal flavor I enjoy.
I like it, and as one myself, I think it’s the right direction for product builders and founders who want to grow their business.
Anyway, babbling over.
Today’s idea comes from 5 companies, 4 industries, 1 stealable move.
The other day I opened RevenueCat to look at my mostly-static dashboard. One paying subscribers. The usual.

Nobody told me honest building in public could be so embarrassing.
And then I saw something more interesting. Something new RevenueCat launched. Benchmarks.

Telling me, politely, with charts, how badly I'm doing compared to other paid apps.
Where I sit on conversion. Where I sit on retention. Where I sit on refund rate (rocking here guys…my one paying sub is holding out). A whole percentile readout of how I stack up against thousands of other apps in their network across all apps or categories.
I'd never had this data before. Nobody outside RevenueCat could give it to me. Not Apple. Not PostHog analytics. Not a podcast. RevenueCat could tell me—because they sit on the data of 116,000 apps including OpenAI, Notion, VCSO, and of course, mine—and they decided to.
That's the idea this week.
People want to know how they're doing.
Don’t you?
It's one of the most reliable human pulls we have. We’re remarkably fascinated with how we size up compared to peers.
But for a lot things that matter—money, fitness, career trajectory, your app's monetization—knowing is genuinely hard. Not the Buzzfeed survey data that nobody needs. The data that nobody hands out for free.
Unless you're sitting on a platform like RevenueCat that already has it.
The move: if your product has aggregated first-party data your users can't get anywhere else— and most products do—turn it into individual peer benchmarks and show it back to them. Not a leaderboard. A percentile.
→ Centralize private market data for actionable insight
"You're in the bottom 32% of paid apps in your category. Here's what the top quartile is doing differently."
It's the cheapest growth feature you can ship. You already have the inputs. The compute is trivial. And it pulls on three threads at once: authority, retention, and acquisition. One feature, three jobs done.
First-party data, revealed, is the move.
Let’s get to it!
—Jaryd

Today’ partners / Your support helps keep this all free
I’ve been playing a lot with a new product that launched recently, Rezonant.
TLDR, they’re like a vibe delivery platform for product teams. It’s an agent-based platform that works for folks like us, tying discovery, planning, coding all together.
The move: install their Chrome extension, click around your product highlighting what you want changed, or just start a screen recording and talk. It ingests it, and turns them into PRDs and tickets.
If you allow it to, it goes a step further and their coding agent can build and ship them in parallel.
Free to start. Start talking to your product...

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Why the idea works / A deeper review
Why I like this idea
Five things stack here. Any one of them would be enough. Together they're a wedge. I love wedges.

a wedge
You own data nobody else can get. This is the moat. RevenueCat knows what those 116K paid apps look like performance wise. Apple doesn't tell me that. Competitors won't. The data only exists in one place, and this recent move took RevenueCat from being an A-tier product with a great payment SDK and a generous free tier with paywalls and experimenting, to an S-tier product (that’s the highest) that’s suddenly a teacher here to help a noob like me with subscription growth. And I’m not even paying them yet.
Showing the data is mostly free. You already collect it, you already store it, and exposing it as a benchmark is a few queries and a chart. The marginal cost is rounding error. Almost no other growth feature has this economics and bolsters your brand as a domain expert.
LLMs flip "show" into "show → suggest". RevenueCat shipped their Benchmarks the same week they shipped Rico, their AI growth assistant.
Not a coincidence. The benchmark tells you where you stand. Rico tells you what to do about it. The loop is closed. Two years ago, exposing the data would have meant "interesting, now what?" Now it means "here's your homework."

help me Rico
People share their data. The amount of RevenueCat dashboard screenshots I’ve seen on LinkedIn and YouTube. Everyone building apps is using them, and they love to share them. Every StarterStory episode basically opens with one.
Benchmarks is new, but I promise you, people will start sharing these as accomplishments. Being top 1% of apps for trial conversion is stuff you want to talk about. That's free distribution. Every screenshot is an ad for the tool. The benchmark itself is the marketing.

dang, must be nice though
It taps into the deep psyche of "am I behind?" This is the one that actually changes behavior. Not vanity ("look how good I'm doing"), but the productive anxiety of "I didn't know other apps onboard like that, and they convert way better than me. Cool. I have homework."
It's the move of a great teacher who tells you that you're not doing great, but they've helped many students like you, and here's how to get that A+.

The evidence / Who’s done this and won
So, who’s dunnit?
RevenueCat — how good are you with monetization?

RC has become the gold-standard SDK layer between mobile apps and the App Store. They see every transaction, every renewal, every churn. They've quietly become the source of truth for what subscription apps actually look like at scale.
And they’re only productizing this first-party data now. Before this, they executed the move slightly differently, almost a test case. They launched State of Subscription Apps, a downloadable report built on 116,000 apps, $16 billion in revenue, and more than a billion transactions.
Sliced it by category, platform, trial length, paywall strategy, AI vs. non-AI, and more.
The subscription app market is bigger, faster, and more unforgiving than it's ever been. But the patterns are there if you look. The operators who study the data, and learn the tools, are the ones who will come out ahead.
Pair that with Rico and the loop closes. I don't just see where I am, but get suggestions in my dashboard tied to my specific weak spots on what I can do in app, and how to use RevenueCat better. Show, then suggest.
They take private subscription market data for apps, and contextualize if for founders and growth marketers.
Klaviyo — how good are you with emails?
Klaviyo runs email marketing for tens of thousands of e-commerce brands. They benchmark you against your peers—by industry vertical, by store size, by send cadence. Doing what RC does but for your email. And notice below, also doing the Show x AI move.
The platform that names the problem is the platform that gets to sell the solution. It’s just free reinforcement that you should keep using them. Retention move for days.

They take private email performance market data for apps, and contextualize if for the content and growth marketers.
Carta — how good are you at getting a deal?
Carta sits at the cap table layer for tens of thousands of startups and thousands of funds. They see every priced round, every option grant, every secondary sale, every dilution event across a meaningful chunk of the venture market.
So, the pulled the move → "Companies like yours typically raise X at Y dilution. Median Series A in your sector is Z." Built into the product. Plus public-facing reports like their quarterly State of Private Markets that founders read before every raise, and journalists quote when they want a number on what's "normal" right now.
The reason this works is the moment. Every founder considering a raise has the same anxious question: "Am I being offered a fair deal?"
Carta has the only data-grounded answer in the market. Crunchbase has rumors. AngelList has selection bias. Pitchbook costs five figures a seat. Carta has the actual ledger and it's already open on the founder's screen.
They take private market data for funds, salaries, rounds, and contextualize if for the founders, investors, and employees.

Here's the compound effect. Because Carta benchmarks are the canonical reference, every conversation about valuation now happens through Carta's vocabulary. Founders quote Carta to investors. Investors quote Carta back.
RevenueCat, with their newer Benchmarks, will likely become a canonical part of apps raising money, showing on their pitch deck how they compare to others in their category.
Quick tour — same move, different categories
Zillow's Zestimate. The OG. Aggregated comparable-home transactions turned into your individual property estimate. Built an entire category on data nobody else had.
Mint and Credit Karma. Personal finance peer percentiles — "you spend more on dining than most users your age". The "users your age" framing is the move, and it predates LLMs by a decade.
Strava. Segment leaderboards plus age-graded performance — "top quartile for your age and weight on this climb". (Strava blends benchmark + leaderboard, which is its own thing — but the percentile half is the part that matters here.)
Action / What you can do with this
How to apply it
TLDR: People want to know how they are doing.
So, take your platform data, show it back to them, and use LLMs to level up to actionable insight.
If you sit on aggregated user data your users individually can't see, the move is to take your platform data, show it back to them, and use LLMs to level up to actionable insight.
Think [Your product] takes private [what type of data] data and contextualizes it for [the customer who cares about this data].
Playbook to do that is roughly:
Audit your data. What do you have that your individual users can't get? Make a list. Most teams find 5-10 candidates in 30 minutes.
Pick one metric. The single biggest "users would reference or screenshot this" candidate. Conversion, growth rate, spend, time—something with peer comparison upside.
Ship a free Trojan-horse artifact first. e.g RevenueCat's State of Subscriptions report. Industry-level aggregate, no login needed. Watch the inbound. Throw an email to download button to get it. Popular move.
Productize it as personalized benchmarks. Behind your normal auth wall, against the user's actual data.
Close the loop with show → suggest. Don't ship the chart alone. Pair every benchmark with at least one suggested action, scoped to the gap. This is where LLMs do most of the work.
That's it. First-party data, revealed.
Lab Notes - the testing plan for my own apps 🧪
I’m putting it to practice with a fun little web app with v0 called The Millionaire Calculator. I don’t have aggregated platform data due to size obviously, but a quick move was loading up data around income etc, and in the calculators, showing users how their inputted numbers size up. Just a curiosity thing

enter your info

see how you’re doing (with relevant tips)
Just a fun implementation of the idea at a small scale. No relevant move here really for Little Moments or Good Times.
At my full-time job though (I work on a B2B2C white-label travel booking platform for membership businesses to sell travel) just a few days ago we were talking about a very relevant thing.
A customer asked me, casually, "How is [other customer redacted] doing with hotel conversion?" Genuinely curious. They wanted to know what a peer's funnel looked like, what was normal, what booking values were typical, what was working for someone their size. We sit in the middle with that data. They didn't. It can help them grow, meaning it helps us grow.
Roadmap updated 🙂
~Thank you for supporting today's sponsors. If you haven’t, check out HubSpot and Rezonant.app — they keep posts like this free and the lab running.

Closing notes / Check this out before you go
The products I highly recommend 🛠️
Every week, I highlight tools I love and those I actually use as full time staff product manager and part time solo builder. Today, I’m highlighting beehiiv—the platform I use to write, grow, and monetize my newsletter. If you want to write a newsletter, start here. I’m new here, but I’m loving it.
Resend: All my emails for all my apps go through resend.
Supabase: The database, auth layer, edge function setup for all my apps
Passionfroot: Where B2B brands find me to sponsor this newsletter

See the full set of vetted tools I use all the time here → Jaryd’s Stack
Projects from the Build-in-Public Lab 🧪
As I share ideas with you, I also put them to practice on my own personal apps. Here’s what I’m working on.
Little Moments: Record a lifetime of memories, captured with one little moment from your day in under 60 seconds.
Good Times: Answer one question a day with your friends
Latest editions 📧
ICYMI, here are some recent entries from The Diff
Something I found super interesting 🧠
If you’re looking for something else to sink your teeth into right now…
A nice breakdown covering a launch path TLDR: Content, Waitlist, Webinars.
The webinar part and how they did it so well is what’s interesting.

That’s it! Thanks again for being here and reading today’s Diff.
— Jaryd









