this post was submitted on 01 Nov 2023
22 points (86.7% liked)

Technology

34920 readers
179 users here now

This is the official technology community of Lemmy.ml for all news related to creation and use of technology, and to facilitate civil, meaningful discussion around it.


Ask in DM before posting product reviews or ads. All such posts otherwise are subject to removal.


Rules:

1: All Lemmy rules apply

2: Do not post low effort posts

3: NEVER post naziped*gore stuff

4: Always post article URLs or their archived version URLs as sources, NOT screenshots. Help the blind users.

5: personal rants of Big Tech CEOs like Elon Musk are unwelcome (does not include posts about their companies affecting wide range of people)

6: no advertisement posts unless verified as legitimate and non-exploitative/non-consumerist

7: crypto related posts, unless essential, are disallowed

founded 5 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
[–] autotldr@lemmings.world 4 points 1 year ago

This is the best summary I could come up with:


This week, during the US v. Google antitrust trial, we got a rare glimpse at a closely guarded secret: which search terms make the most money.

By my count, that’s three iPhone-related queries, which makes sense, given that the iPhone 8 had just launched and there were a lot of retailers, carriers, and accessory makers who might want to bid to be at the top of search results.

There are five insurance-related queries on the list, which has always been a competitive and lucrative space — I just Googled “auto insurance” and got four ads before a single regular result.

Most people don’t switch car insurance very often, so it’s worth a lot to Allstate or State Farm to get your first click when you search.

The sweet spot for Google, it appears, is right in the middle: a popular search query that overlaps with a competitive, expensive industry.

Again, there’s only so much to extrapolate from one week’s list, especially given that the other side of the table — how much money each query brought in — is still redacted in the public exhibit.


The original article contains 706 words, the summary contains 185 words. Saved 74%. I'm a bot and I'm open source!