▮ Algorithm Profile

🔬 The Researcher

You compare 11 options before buying socks — and advertisers adore the trail you leave.

11.8% of people get this profile

est.

Estimated ad value

$2,919/yr

≈ $243/mo · the average US person is ~$1,327/yr

You don't buy things. You investigate them. By the time you purchase a $40 item you have read reviews on four sites, watched two YouTube comparisons, opened a Reddit thread from 2021, and built a private mental spreadsheet. You feel in control — and in a way you are. But every one of those clicks is a signal. The algorithm sees a user with clear, high-intent purchase research, which is the single most valuable kind of attention in advertising: a person who is definitely going to buy something in this category soon. So the bids on you go up, the comparison-shopping ads pile in, and that product you researched but didn't buy will follow you until you cave or it expires.

How platforms label you

High Purchase Intent

Your research pattern screams 'about to buy.' Advertisers pay a premium to reach in-market shoppers — and your browsing history flags you as exactly that.

Brand-Comparison Behavior

Because you weigh competitors, brands fight over you with conquesting ads — paying to show up the moment you research a rival.

The reality'In-market' audiences — users showing active intent to buy in a category — are among the highest-priced segments advertisers can target.

Take back some controlDo your research in a private/incognito window, then make the purchase normally. It breaks the link between your comparison-shopping trail and your everyday profile.

Why 'in-market' shoppers are gold

When your clicks reveal you're actively comparing products in a category, you become an 'in-market' audience — one of the most valuable targeting segments there is. Heavy research signals high intent, and high intent is exactly what advertisers pay the most to reach.

For education and entertainment only. The "ad value" figure is a rough, illustrative estimate built from public industry averages (e.g. US per-capita digital ad spend), not a calculation of your real data or a price anyone is paying for you. The personality types describe general patterns in how online platforms profile behavior — they are not a measurement of you specifically, financial advice, or a privacy audit. Provided as-is.