We're growing a mobile app with free web tools instead of ads. Here's the playbook so far.

This is the sharpest take in the thread, and it reframes my own lineup. The "want a
number and then leave" trap is real: my pot odds and equity calculators are exactly
that, you grab the number and you're gone. The one that maps to your "I need this again
tomorrow" is the range visualizer, because it lets you save and edit your own ranges, so
it's a workflow you come back to, not a lookup. I hadn't drawn that line between my own
three tools until you said it.

And it lines up with the app itself: it's a daily trainer with streaks and an ELO, so the
tool that teaches "come back tomorrow" is the closest cousin to the actual product. The
number-grab tools pull traffic, the habit tool probably pulls the right people.

Your three-number split is also better than what I had planned. Completion rate and
install-CTA-click I had, but "day-2 app open by campaign" is the one that actually answers
it, because for a trainer the win isn't the install, it's whether they came back. Lower
traffic but higher day-2 opens equals the tool teaching the right habit. That's now the
metric I'll use to decide which tool to build next. Genuinely useful, thank you.

"Content that teaches pulls the people who care, not just clickers" is exactly it. An
ad makes a claim, a tool or a real story lets someone feel the thing before they decide.
Same bet, different shape. The Toyota on-device story on your product page is a great
version of that.

And "let people feel it before they commit to a download" is the cleanest way I've heard
the free-tool logic put. A voice stress test demo is perfect for it, because the demo IS
the pitch. If it works on them, the download mostly sells itself.

On your attribution question: yes, and it's basically our setup already. Each tool is its
own page, and the download links route through a single redirect that stamps a campaign
token, so Apple's App Analytics shows installs per campaign and Play Console shows them
per install referrer. Honest caveat though: it's campaign-LEVEL counts, not per-user
paths. iOS will tell you "this campaign drove N installs" but not what that person did
before the tap. For deciding which channel actually drives installs, that's plenty. For
stitching one user's full journey, it isn't, and that's where you'd need deferred deep
links or an SDK, which I've parked until it's clearly worth the work. For your stage, the
per-tool page plus campaign tokens will already answer your real question.

Same boat, with one correction: ours is actually free, not paid (premium is planned,
not live yet), but the zero-budget niche-audience funnel is identical, so all of this
applies to you.

On tool selection: it started as "what does a poker player google the second they're
stuck" way more than a spreadsheet. Pot odds, ranges, and hand equity are the three
things players literally look up mid-hand or right after, so the intent was obvious
before I checked a single volume number. I did sanity-check search volume after,
mostly to decide which to build first and how to name the page. But if I'd led with
volume I'd have risked building something technically searched and useless to solve,
which is the trap. Intent first, volume to prioritize.

On timing, honest answer: too early to give you a clean number from the tools. The pot
odds calc is about two weeks old and the equity calc is days old, so they haven't had
time to rank yet. What I can tell you from the blog side is that meaningful organic was
months, not weeks. A small trickle showed up in a few weeks, but the real compounding,
pages ranking and pulling steady traffic, is a 3 to 6 month game. Anyone promising
faster without budget is selling something.

And yes, I'll post the tool to install conversion numbers once I've actually
instrumented it. A few people in this thread have convinced me that's the next job.
Good luck with yours, happy to compare notes as we both figure this out.

The tool-to-tool flywheel framing is sharper than how I'd been thinking about it,
thank you. That's basically the bet without me having named it: the tools and the
blog articles all cross-link, so every new page is another entry point that also
feeds the others. The equity calc isn't just a third tool, it's a third front door.

On attribution, you and a couple of others in this thread have pushed me the same
way: stop chasing perfect tracking, ask whether CAC beats any paid channel. With
install cost near zero and organic still climbing, the honest answer is yes, and
that's the signal that actually matters.

To your question, and it bugs me that I can't answer it cleanly yet: the tools do
link to each other so the path exists, and anecdotally blog readers do land on a
tool. But the equity calc is only two days old, so the sample for real multi-tool
sessions is too thin to call one-and-done vs sticky. Instrumenting that, tool-to-tool
movement and repeat visits, is now top of my list, because if people hop between
tools it changes how I treat the whole thing. I'll report back once I have it.

This is gold, thank you. You nailed exactly where we're weak: we're on ?src=
right now, so we literally lose the thread at the store like you said. The
deferred deep link / Branch layer is the obvious missing piece, firing an event
at the "aha" moment plus the install CTA click and tying it through an
attribution SDK is going on the list this week. Without it we're guessing, agreed.

The "fully solve the googled thing vs lite version of the app" point really lands.
Our weakest tool is the one that feels closest to a teaser; the standalone
calculators pull better. Good to hear that pattern held for you too.

On which of the three carries it: honestly too early and too blind (that exact
attribution gap) to say with confidence. Early read is the pot odds calc has the
most search volume, but the equity calc is two days old. Once Branch is in I'll
actually know. Really appreciate you taking the time.

This is the sharpest version of a point a few people in this thread have circled, and it matches the conclusion I'd been reaching myself. The range visualizer lets you save and tweak your own ranges, so it's the one that makes you invest effort and come back, continue where I left off, while the pot odds and equity calculators are one-shot, grab the number and leave. So yeah, the saved-data tools are the ones to pour into, and the calculators mostly earn their keep as SEO front doors. On your question: I'm not tracking 7-day retention by which tool drove the install yet, the attribution isn't wired, but that's exactly the metric I want, because a tool with half the traffic and double the retention is the one to double down on. I'd bet it's the visualizer. I'll know once it's instrumented.

This is the sharpest version of a point a few people in this thread have circled, and it matches the conclusion I'd been reaching myself. The range visualizer lets you save and tweak your own ranges, so it's the one that makes you invest effort and come back, continue where I left off, while the pot odds and equity calculators are one-shot, grab the number and leave. So yeah, the saved-data tools are the ones to pour into, and the calculators mostly earn their keep as SEO front doors. On your question: I'm not tracking 7-day retention by which tool drove the install yet, the attribution isn't wired, but that's exactly the metric I want, because a tool with half the traffic and double the retention is the one to double down on. I'd bet it's the visualizer. I'll know once it's instrumented.

The two-segment split is the most useful reframe I've gotten on who this is for. Recreational players who improve socially, and grinders who treat it as income with a totally different relationship to tools. And you're right that one grinder who uses the app and mentions it in a strategy thread is worth more than 50 casual installs, for revenue and for influence both. One honest correction on your question: I can't give you a paid conversion rate yet, because the app is 100% free right now. Premium is planned but not live. So today there's no paid number to compare between segments. But your point reshapes who I build premium for and where I hunt: the free web tools pull general, mostly recreational traffic, while finding grinders is a different motion, the 2+2 forums and poker Discords where they already argue about ranges and equity. Lower traffic, far higher intent. That's a separate playbook I need to run on purpose. Thanks for drawing the line so clearly.

"Acquisition loops through utility rather than persuasion" is a better description of it than I had. And you've put your finger on the exact thing I can't yet prove. By design it's a shared journey: the tools and the blog all cross-link, so each one is a door into the same house. But whether they actually compound or just fragment into separate one-and-done entries comes down to whether users move between them, and that's the one number I don't have yet. Instrumenting tool-to-tool movement and repeat visits is next. If people hop between tools, it compounds. If every visit dead-ends in one tool, you're right that it fragments. I'd rather measure it than assume it compounds.

Exactly, a useful tool is something people will share, an app download is something you have to ask for. That difference is the whole bet. On the equity calculator specifically: it's only days old, so it's too early to tell, and honestly I expect it to behave more like the pot odds calculator (one-shot, grab the number, leave) than the range visualizer, which is the one people actually come back to. So my guess is the equity calc earns its keep as an SEO front door more than a retention driver. But that's a guess until I've got per-tool tracking in. I'll report back.

You named the hardest part exactly: the signal lags, so the temptation to kill it right before it compounds is real. Honest answer on how long I've given each tool: not long enough to judge yet. The pot odds calc is about two weeks old, the equity calc is days. So I haven't hit a real "is this working" checkpoint on any single tool. My read on the lag, mostly from the blog side, is that meaningful organic is months not weeks, with a small trickle in the first few weeks. The way I try to hold patience is to set the evaluation window up front (3 to 6 months for anything SEO-driven) and judge on leading indicators in the meantime, rankings climbing, backlinks showing up, people moving between tools, rather than on installs early. If I judged on week-two installs I'd kill everything. How long are you giving yours before you call it?

Backlinks is the piece I think people underrate, and you framed the math perfectly: a tool that converts 0.5% directly but earns 150 quality links a year can be the best thing you build, because every link makes the next piece of content rank faster. Honest state: the tools are too new to have meaningful links yet, so I can't claim that flywheel is spinning, only that it's the outcome I'm building for. On active posting vs waiting: I've tried active, and it's harder than it sounds. Poker communities and tool subreddits are protective, so straight link posts get caught by spam filters or sit in mod queues, especially from an account that reads as promotional. So right now it's a mix: lean into making the tools naturally shareable (the range visualizer is the obvious one, people want to show the ranges they built), build in public like this, and earn the community links the slow way instead of forcing them. How are you seeding yours, active or organic?

Agreed on all of it, and the post-install survey is the piece I hadn't given enough weight. A single "how did you find us" question in the app is cheap to add and covers exactly the iOS gap where UTMs go dark, so the UTM-plus-survey combo is a smarter stack than either alone. I'm partway there: I tag the download links with a source param today, but no survey and no cohort view yet. Your last point is the one I most want to get to: tracking the quality difference, not just the volume. Tool visitors arrive with a specific problem in mind, so I'd expect their retention to look nothing like a social-driven install, and that deserves its own column. Wiring both is next.

To answer your direct question first: right now it's basically total site to installs, with only a coarse source tag, not clean per-tool tracking. So I can't yet answer your four downstream questions, and they're the right four to ask. One honest note on number two: there's no trial or subscription conversion to measure yet, because the app is 100% free today and premium is planned but not live. Number four is the one I'd bet the whole thesis on though: do people who save or create something in a tool convert better than people who calculate once. The range visualizer lets you build and save your own ranges, the calculators are one-shot, so if save-and-return behavior converts better, that tells me exactly what to build next. I just need the per-tool instrumentation in to prove it. Good luck with the habit app, the same sharing dynamic applies: people share a streak or a tool, not "download my app."

Unique UTM per CTA per tool is exactly the plan. Aggregate traffic hides the only thing I care about. On your return-visits question: I don't have the numbers yet, but my bet is the range visualizer pulls far more return visits than the pot odds calculator, because it lets you save and tweak your own ranges, so there's a reason to come back, while pot odds is grab the number and leave. If that holds, it tells me my audience cares more about studying ranges than running quick math, and that's where the next tools should go. Measuring it is the next job.

This is the most actionable comment in the thread, thank you. On your first tip, I'm partway there: the tools are already separate static routes (/tools/pot-odds-calculator, /tools/range-visualizer, /tools/equity-calculator), each with its own metadata, not a generic catch-all. What I haven't done rigorously is map each H1 to the single highest-volume keyword I can actually defend, so that's a concrete audit I'm taking. The schema tip is the one I'm acting on fastest: I already have FAQPage on the tool pages, but adding HowTo is an easy win, and your read on AI Overviews sourcing rich snippets first in 2026 is the kind of thing I'd rather build for now than retrofit later. The dwell-time-as-moat point matches what I'm seeing reasoned all over this thread. Appreciate the operator-level detail.

Thank you, that genuinely means a lot. And you said the core better than my whole post did: it delivers value before asking for anything in return. That's the whole difference between a tool and an ad.

Congrats on the music discovery launch. If I were in your shoes I'd lean into how playful music is: a 30-second "find your sound" taste-match or a shareable result quiz maps to the exact pre-download moment, and the result is something people actually post, which an ad never is. Different domain, same bet.

On durability, my honest read matches your intuition: a trickle that keeps ranking and compounding stops being a trickle. The catch is the two conditions you already named, keep ranking and keep being genuinely useful. Lose either and it's back to noise. I'll circle back and post how the funnel actually performs once it's had time to settle. Good luck with yours, and thanks for the kind words :)

That's a sharper framing than mine, thank you. You're right that I jumped to "does
it convert" when the real fork is what these tools even are: an acquisition
funnel, standalone products, or both. And you're right that I can't honestly make
that call from two weeks of thin data.

If I'm honest, the equity calc could probably stand on its own, while the others
feel more funnel-shaped, which already hints they're not all the same kind of
asset.

Genuine question back: what signal would you want to see before making that call
with confidence? Retention on the tools themselves, repeat visits, something else?
I'd rather know what I'm looking for than collect numbers blindly.