Dados próprios · Atualizado em September 10, 2026
Em quais serviços de crescimento os compradores realmente clicam?
Every figure below is a filtered count of click-throughs recorded on our own outbound links, updated daily. It is what readers realmente clicked on the pages we publish — which means it is shaped by our own layout as well as by reader interest, because we choose which services a page lists and in what order. Read it as the share of our outbound clicks, not as market demand.
32,130 click-throughs recorded between April 17, 2026 e September 10, 2026·13,262 nos últimos 30 dias.
01 · Por serviço
Para onde vão os cliques dos leitores
Participação de todos os cliques rastreados, por serviço. O número menor é a contagem bruta de cliques; um ▲ verde marca os serviços que conquistam uma participação maior nos últimos 30 dias do que a que têm no acumulado.
Showing the top 12 de 25 services that clear our publication floor of 100 clicks. Shares are of every counted click, so this table does not add up to 100%: 279 counted clicks sit below the floor and are not shown. The full list of published rows is in the dataset.
Why the top row is the top row: Likes.io is the service we list first on 35 of our 47 ranked buying guides. A service listed first on almost every page collects clicks that a service listed eighth cannot, so its share here measures our placement at least as much as it measures reader preference.
02 · Por plataforma
Quais plataformas os compradores fazem crescer
Participação dos cliques rastreados pela plataforma que o comprador estava procurando.
Platform is read from the page the click came from, so this table covers only clicks that started on a buying guide for a named platform. 2,775 of the 32,130 counted clicks started somewhere else — a review, a comparison, the home page — or fall below the publication floor. They are excluded from the rows below but still counted in the total each share is divided by.
Como ler estes dados
O que isto é: an aggregate, anonymized count of click-throughs recorded on our outbound links, refreshed daily. Exactly two filters apply: known bots, crawlers, and link scanners are excluded by user-agent, and a click only counts if the same session also loaded a page on this site. The second filter matters, because our redirect is a public URL that automation hits without ever reading anything. What does not apply: our internal analytics also drop visits whose browsing pattern looks automated — eight or more pages spread over four or more hours — and this public dataset does not, so these totals are looser than the verified figures we use internally. The counts are of clicks, not people: one reader clicking twice counts twice.
O que isto não é: é um clique, não uma compra nem uma venda confirmada, e ele não é o nosso ranking editorial. Popularidade não é qualidade. Qual serviço nós de fato recomendamos, e por quê, é decidido pela nossa rubrica publicada e pela pontuação editorial (mais um piloto prático pago de cinco serviços do Instagram), não pelos cliques. Veja como classificamos.
What we do not capture: impressions, how far down a page a service's card sat, click-through rate, and which page template the click came from. None of those are recorded against an outbound click anywhere in our logs, so no share on this page can be adjusted for how much exposure a service got. That is the single biggest limit of the dataset, and it is why the placement note above is a count of pages rather than a correction to the figures.
Os números subjacentes estão disponíveis como um conjunto de dados legível por máquina for anyone who wants to cite or verify them. It carries the same filters, floors and coverage figures as this page.
Corrections and changes
- August 26, 2026
- Removed the claim that the figures “reflect live demand instead of an opinion”, and the claim that they “track human reader interest as closely as server logs honestly allow”. Neither was supportable: the counts are clicks on links this site places in positions this site chooses, and a stricter automation filter exists in our own analytics code than the one applied here. Added the placement disclosure with its measured page counts, the publication floor, the display cap, the coverage figures that reconcile the tables to the total, the start of the recording window, and an explicit list of the things this dataset does not capture.
- July 28, 2026
- Tightened the click definition: a click now counts only when the same session also loaded a page on the site. The previous user-agent-only filter counted automation that hit the public /go redirect without ever reading anything, and every figure on this page dropped accordingly.
The figures themselves change every day as new clicks are recorded; this list covers changes to what the report claims, not to the numbers it reports. Spotted something wrong? Tell us.