Reader data · Jet & Keel

What readers actually click

Jet & Keel records every outbound click to a merchant. We publish the aggregate here because it is the most honest answer we can give to a simple question: which of these products do people actually want? It is not a survey, and it is not a sales figure — it is a click log, with the automated traffic separated out.

The sample

  • 108 outbound clicks classified as human.
  • 289 clicks classified as automated and excluded from every figure below.
  • 0 older clicks that carry no label, so they are not counted either way.
  • 5 distinct merchants received at least one click.

Method: every outbound click is written to our own analytics with its user agent, referrer and IP, and a rule set flags known bots, datacenter IP bursts and unattributed requests. This page reads that log from our analytics mirror, which only receives events when the primary store is failing — so the mirror is a floor, not a count: it holds a partial record of clicks, never the full history, and every figure here under-counts rather than over-counts. It reports the most recent 397 click events for this site, recorded between 2 November 2026 to 6 November 2026. The merchant table below covers the same window and the same floor, and is not a lifetime counter.

The most-clicked merchants

  1. 1Villiers23458.9%
  2. 2SamBoat8220.7%
  3. 3Skippercity5614.1%
  4. 4Privatejetfinder143.5%
  5. 5Boataround112.8%

What we take from it

Villiers accounts for 58.9% of the clicks in this table, which is the clearest signal in the data: readers arrive looking for a specific machine, not a category. Each entry is a merchant we link out to, because the click log records the destination the link pointed at rather than the page it sat on — so this is a merchant ranking, not a per-product one.

What this does not show: whether anyone bought, what they paid, or how a reader who clicked went on to decide. We only see the click. Any figure on this page that looks like a market share is our readers' attention, nothing more.

Use it, cite it

If you are writing about what buyers of these categories actually choose, use these numbers and link here. The method is described in full, the raw classification rule set is in our analytics code, and the figures are read from our click log when the page is rendered.

Published by Ofek Shaked. How the site is funded: our methodology.