Are Featured Listings Worth It? Do the Math First
Are featured listings worth it? Run the break-even math first: what a paid launch placement can return, what it never can, and when not to buy one at all.
By Mark Fulton ·

A featured listing is worth it only when the arithmetic works, and the arithmetic is simple enough to do in a minute. A placement buys you position, not demand. So take the fee, divide it by what one visitor is worth to you, and you get the number of visitors that placement has to send before it pays for itself. If you can't fill in the "what one visitor is worth" side of that division, because the app is pre-launch, has no working URL, or has nothing for a visitor to do when they land, the answer is no. Not "maybe later", no. Every honest case for buying a spot starts with a page that already converts somebody.
We sell a featured spot on this site, which makes us close to the last people who should wave a hand at this question. So here is the arithmetic instead, including the three cases where the answer is don't buy it.
What does a featured spot actually buy you?
Three things, and it helps to name them separately because people conflate them.
Ordering. Almost every directory, showcase and launch board is a list, and lists are read from the top. A paid spot moves you up the list for a set window. That is the entire mechanical product. It is real, and it is worth something, because the difference between position four and position forty on a browsed page is large. It is also not magic: the list still has to be browsed by someone.
A label. Featured placements normally come with a badge. On a site that plays it straight, that badge says something like "featured" or "sponsored" so readers can tell it was paid for. That is not a downgrade, it is how it should work. The FTC's endorsement guides are clear that a connection a reader wouldn't expect, and that would change how they weigh what they're seeing, has to be disclosed clearly. A directory that sells placement and hides it is doing you no favours anyway, because readers who work it out discount everything else on the page too.
Time. A placement is a window, not a permanent state. When it ends you go back into the ordinary list. Whatever you got, you got during that window plus a short tail.
What it doesn't buy is intent. A visitor from a browsed list is a curious person, not someone who typed your problem into Google at 11pm. That gap is the single biggest reason placement spend disappoints, and it's why the conversion rate you plug into the math below should be lower than the one you see from search traffic, not higher.
For what it's worth, our own featured spot is $19, and the honest description of it is: a position near the top and a badge. Not a traffic guarantee, and we'd rather say that than sell you a number we can't stand behind.
What can no paid placement do for you?
It can't buy you search rankings. This is the claim that gets attached to paid directory placement most often and it is the one to be most suspicious of. Google's spam policies list "low-quality directory or bookmark site links" as a form of link manipulation, and Google's guidance on qualifying outbound links asks publishers to mark paid placements with rel="sponsored", which is exactly what a properly-run directory will do to your link. So a paid spot is worth buying for the humans who see it, and for nothing else. Any vendor pitching a placement package on the strength of link equity is selling you something Google explicitly asks them to neutralise. Bulk auto-submission services sit in the same bucket, and worse: they fire your app at hundreds of sites indiscriminately, which is the pattern those policies were written to catch.
It can't fix a page that doesn't convert. Placement multiplies whatever your landing page already does. Multiply zero and you get zero, only now you're out the fee.
It can't create demand for a category nobody's looking for. If people don't yet know they want this kind of tool, a list position won't teach them. That's a content and conversation problem.
It can't be undone. A placement is bought before you know the result. There's no refund on attention that didn't arrive.
How do you work out your break-even?
One formula. Everything else is filling in your own numbers.
Value per visitor = Revenue per paying customer × (visitor → customer rate)
Break-even visitors = Placement fee ÷ Value per visitor
The rate is the whole chain, not one step. A visitor has to sign up, and then a fraction of signups have to pay. Multiply the two. If 8 out of 100 visitors start a trial and 1 in 10 of those converts, your visitor-to-customer rate is 0.8%, not 8%.
Below are worked examples. Every input in this table is an assumption I picked to show the shape of the calculation. None of it is measured data, from this site or anywhere else. Your real numbers will differ, and the whole point of the exercise is to use yours.
| Scenario (ASSUMED inputs) | Fee | Revenue per customer | Visitor → customer rate | Value per visitor | Break-even visitors |
|---|---|---|---|---|---|
| Subscription app, $9/mo, assume 6 months average retention | $19 | $54 | 0.8% (assume 8% sign up, 10% of those pay) | $0.43 | 45 |
| One-time purchase, $49 | $19 | $49 | 2.0% (assume) | $0.98 | 20 |
| Higher-priced tool, $29/mo, assume 12 months | $19 | $348 | 0.3% (assume) | $1.04 | 19 |
| Same subscription app, pricier placement | $99 | $54 | 0.8% (assume) | $0.43 | 231 |
| Free app, no paid tier yet | $19 | $0 | any | $0.00 | never |
Now the version that matters. Fill this in with your own figures before you pay anyone:
| Your numbers | Value |
|---|---|
| Placement fee | $ ______ |
| Revenue per paying customer (price × months you actually retain) | $ ______ |
| Visitor → signup rate (measured, not hoped) | ______ % |
| Signup → paying rate (measured, not hoped) | ______ % |
| Visitor → customer rate (multiply the two above) | ______ % |
| Value per visitor (revenue × visitor→customer rate) | $ ______ |
| Break-even visitors (fee ÷ value per visitor) | ______ |
Then ask the only question that follows: is it plausible this placement sends that many people who click through? If your break-even is 20 visitors, that's a low bar and the bet is reasonable. If it's 231, you need to believe something specific about that site's traffic, and "the vendor said it's popular" isn't a belief, it's a hope.
Two honest notes on using it. First, if you haven't measured your signup and payment rates, you cannot do this calculation, and guessing them generously is how people talk themselves into spending. Second, the free-app row isn't a joke. A genuinely free app with no paid tier has no revenue side, so no placement fee can ever break even in money. It can still be worth buying for feedback or credibility, but call that what it is, a marketing spend with a non-financial return, and cap it accordingly.
When is a free listing plainly enough?
Most of the time, at the stage most solo apps are at.
A free listing is enough when you're still finding out whether anyone wants this. The job at that point is signal, not volume: does a stranger understand the tagline, do they get to the first useful moment, do they come back. Fifty visitors answer that as well as five hundred, and one conversation answers it better than either.
It's enough when your break-even number came out large. If you need hundreds of clicks to recover the fee, you are betting on a traffic level almost nobody publishes honestly. Take the free listing, watch what it does, and buy placement later if the free version already produced signups.
It's enough when you haven't measured anything yet. Buy the placement after you have a baseline, so you can tell the difference the placement made. Before that, you're purchasing an unmeasurable outcome.
And it's enough when the free listing is genuinely free. Ours is: submit your app costs nothing, it's reviewed by a person, and there's no upsell gate between you and a live listing. The only requirements are that it's a real app with a working URL, and that people can try it without paying, so free, freemium or free-trial apps qualify and paid-only ones don't. If you're weighing up where else to spend the same afternoon, we keep a checked list in where to post your app in 2026.
What should you fix before spending anything on placement?
Everything in this list costs nothing and raises the value of every visitor you'll ever get, from placement or anywhere else. Doing them in the wrong order is the most common way founders waste a fee.
- A working URL that loads for a stranger, fast. No waitlist page, no "request access", no login wall in front of the first look. If a visitor cannot experience the thing, position on a list is irrelevant.
- A tagline that says what it does. Not what it feels like. Someone should know whether it's for them in about five seconds.
- Three screenshots of the actual product, showing the moment it becomes useful rather than the empty state.
- One obvious next action on the page. One. The most common conversion killer is a page that offers four equally-weighted things to click.
- Analytics that can attribute a signup to a source. Without this you'll never know what the placement did.
- Five people who have used it in front of you. This finds the breakage no amount of traffic will forgive. Our beta tester checklist covers how to run those sessions, and if recruiting testers is the blocker, trading a review for a review with other builders works well, which is roughly the idea behind favors.dev.
If you want the full pre-placement sweep, the app launch checklist for solo developers is the longer version, and why nobody tries your app covers the specific page problems that quietly eat traffic you've paid for.
How should you judge the result afterwards?
Decide the measurement before you buy, because afterwards you'll be motivated to find a flattering interpretation.
Tag the link. Google Analytics documents the UTM parameters for custom campaigns, and at minimum you want utm_source, utm_medium and utm_campaign on the URL you give the directory, with a naming convention you'll still recognise in three months. If a site won't let you supply a tagged URL, you can usually still separate the traffic by referrer, but tagging is cleaner.
Then judge it against your break-even number and nothing else. Not impressions. Not "featured on" badge collecting. Not upvotes. The comparison is: did this placement send at least the number of visitors the table said it needed, and did those visitors convert anywhere near the rate you assumed. If visitors arrived and didn't convert, your assumption about conversion was wrong and the next placement will fail the same way until the page changes. If visitors never arrived, the site's audience was the wrong bet, and that's cheap information for a small fee.
Give it the placement window plus about two weeks. Some people bookmark and come back. Beyond that, the tail is noise.
And measure it against the free option, not against zero. The right comparison is "placement versus free listing plus the same hour spent talking to people". Often the hour wins, and that's covered in how to get your first 100 people to try your app.
The practical order, then: list free first, measure, do the arithmetic, and buy a spot only if the number it produces is one you actually believe. Submit your app free and see what the ordinary listing does. If the math works after that, the featured spot is $19 and it's there when you want it, and if checkout isn't set up yet the page will point you at an email instead. Either way, don't buy a position to compensate for a page that isn't ready.
Frequently asked questions
Do paid directory listings convert better than free ones?
Not inherently. A paid spot changes where you sit in a list, not who the audience is or how persuasive your landing page is, so the conversion rate on those clicks is normally the same rate you already get from that kind of traffic. What changes is the number of clicks, not the quality. Be sceptical of any page quoting a conversion uplift figure for paid placement, because the honest version of that number would need a controlled comparison of the same app on the same site in both states, which essentially nobody runs. Assume the same rate you already measure, and let the extra visitors be the only variable.
Is a featured spot worth it for a pre-launch app?
No. A pre-launch app has no working product for a visitor to try, which means the visitor-to-customer rate in the break-even formula is effectively zero, and no fee divided by zero ever pays back. There's a second cost too: the people who click during your placement are the curious ones, and spending them on a waitlist page burns an audience you can only bring in once. Many showcases, ours included, only list apps people can actually try, so a pre-launch page often isn't eligible for the free listing either. Ship something usable first, even a thin version, then list it free.
How long should a featured placement run?
Long enough to accumulate a meaningful number of clicks, and no longer. On a browsed directory the traffic from a placement is roughly proportional to time at the top, so a very short window rarely reaches a break-even number in the dozens. But attention decays: the same audience passing the same list for the fourth week stops registering you. In practice, one clear window with a definite start and end, then a look at the numbers, beats an open-ended renewal you forget to cancel. If you're renewing, renew because the last window cleared its break-even, not because the badge looks nice.
What should I track after buying a placement?
Four things. First, tagged sessions from the placement, so you know how many people it actually sent. Second, signups attributed to that source, which gives you your real visitor-to-signup rate rather than the assumed one. Third, paying conversions from those signups, which completes the chain. Fourth, the date range, so you can see the shape of the tail and know when it's over. Then rerun the break-even table with your measured rates instead of your guesses. That second version of the table is the genuinely valuable artefact, because it tells you what any future placement anywhere is worth to you.