How we recommend

How the quiz actually works

Most comparison sites rank tools in a fixed order and call it a recommendation. We do something different, and the difference matters.

Each product is rated 1 to 5 across a set of capability dimensions — how deep its automation goes, how easy it is to learn, how well it integrates with course platforms, how it handles segmentation, and so on. Those ratings are written once, in one file, and describe the product rather than any particular reader.

Your quiz answers don't pick products. They express demand across those same dimensions. Answering “I'm building automated sales funnels” adds weight to automation and segmentation; answering “I want to get going quickly” adds weight to ease of use and subtracts a little from automation, because those genuinely trade off. Your score for each product is then the sum of your weights multiplied by that product's ratings.

The practical consequence is that we cannot quietly favour a product for one audience. A product's ratings are shared across every quiz on this site, so inflating one to win a recommendation here would distort its results everywhere else too.

Why we rule tools out rather than mark them down

If you tell us your budget is zero, we remove the tools without a free plan from your results entirely. We don't give them a scoring penalty and let them climb back into your top three on the strength of other answers.

This sounds like a technicality and isn't. Under a penalty system, a reader who said they would spend nothing can still be shown a paid-only product because it scored well elsewhere — which is worse than useless to them. When a constraint removes tools from your results, we say which ones and why, so filtering is never silent. If it leaves fewer than three options, you get fewer than three rather than a padded list.

How we make money

We earn a commission when someone signs up to a tool through our links, at no extra cost to you. The programs pay very different rates — the most generous pays us several times what the least generous does.

Commission rates are not an input to the scoring. They do not appear in the code that ranks products, or in any quiz configuration. The ranking has no access to them. This is enforced as a rule in the project's own documentation, not just an intention: when a product converts well but ranks poorly, the only permitted response is to check whether its capability ratings are wrong — never to add points.

One consequence worth stating plainly: some tools we have affiliate relationships with almost never come out on top for a given audience. We have left it that way. A tool that is solid but never the best fit for a particular kind of reader should rarely be recommended to them, however well it pays.

Where a program hasn't approved us, or we've chosen not to join, we link to the product directly and earn nothing. Those links are marked on the recommendation cards.

Every recommendation states a downside

Each result carries a caveat generated from your own answers — specifically, the thing you told us you needed that this product is weakest at. Every card also lists what the tool does badly, including the one we ranked first.

This is deliberate. A recommendation engine that only says positive things is an advertisement with extra steps, and you would be right to distrust one.

Keeping the data honest

Pricing and features change constantly, and stale numbers are the most common way sites like this quietly become misleading. Every product carries the date its pricing was last checked against the vendor's own page, and that date is shown on the card so you can judge how much to trust it. We recheck quarterly.

Capability ratings are editorial judgements, not vendor claims. They are our assessment against a written rubric, and reasonable people could rate some of them differently.

What we don't do

• No countdown timers, fake scarcity, or “limited offer” framing.
• No “sponsored top pick” slots. Position cannot be bought.
• No email capture to see your results. The quiz is anonymous.
• No accounts, and no selling of data we don't collect.

If we've got something wrong

Prices move, products change, and we will sometimes be out of date or simply mistaken. If you spot something wrong — a stale price, a feature rating that doesn't match your experience of a tool, or a recommendation that doesn't make sense — we would rather know. Corrections make this more useful to the next person.