Highmark Collective — Advertising

Researched profile. The figures here are modelled by us from public information, published with the sources they were drawn from. How we research.

Advertising

Read Sep 2026. Figures here are a reading taken then, not a live feed.

They buy acquisition, not defence — the opposite of the usual pattern — and the whole bill models out at a fraction of what a placeholder would have guessed.

🚨 Nobody can measure a competitor’s ad spend from outside the account, and the figure below is modelled rather than counted. The two sit side by side here on purpose. The COUNTED side is a live search read: amazon.com in Chrome, logged out, delivering to New York 10001, on 4 October 2026, run twice, with every sponsored card on sixty results per query classified and matched to their ASINs. The MODELLED side multiplies Jungle Scout’s share of sponsored impressions on each keyword by that keyword’s thirty-day search volume, by a click-through to the first sponsored slot measured on five of the thirty keywords and pooled at 8.87% on the rest, by the median suggested bid. It comes out at 2.3% of September’s revenue, in a band of 0.5% to 4.2%.

What the footprint shows is a brand buying strangers. They hold a sponsored slot on five of the seven generic head terms read, including the #1 slot on “christian journal set of 3” and #4 on “baptism gifts for girl”, and exactly one slot on their own name — where all ten organic results are theirs already and the term has no measurable search volume at all. That is the inverse of the brand-defence pattern most small sellers run.

Every part of the model has a hole in it and they all point the same way. A bid is the price to win a slot, not the price billed, and a cleared auction runs below it. Twenty-five of the thirty keywords borrow a pooled click-through rather than their own. Auto campaigns, product targeting, Sponsored Brands and Sponsored Display are invisible to a keyword model entirely, and no Sponsored Brands headline or video unit was seen for them on any query. Treat 2.3% as the middle of a wide band, not a reading.

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