@rustybrick@KDruckSEO@devakatalk@brodieseo Seeing this param on non-product URLs at large scale. Since this is coming from Merchant Center, we inquired with Google Ads Support and were told it was expected behavior and sent to a couple GMC help docs. 🫤https://t.co/9XKJWfkOR1
@brodieseo Interesting. We saw an anomalous uptick in srstlid sessions *in GA4* starting 7/25, but so far can't reproduce in SERP or in other reporting. 🤔
My take on the leaked docs.
We don’t know if this is for production or for testing. My guess is it’s mostly for testing potential changes.
We don’t know what’s used for web or for other verticals. Some things might only be used for a Google home or news etc.
We don’t know what’s an input to a ML algo and what’s used to train against. My guess is clicks aren’t a direct input but used to train a model how to predict clickability. (Outside of trending boosts)
I’m also guessing that some of these fields only apply to training data sets and not all sites.
Am I saying Google didn’t lie? Not at all. But let’s examine this leak objectionably and not with any preconceived bias.
Ok, let's get this party started!
A couple weeks ago I said I was publishing the most important thing I ever wrote. I was wrong.
Documentation related to the Google Search algorithm leaked and I spent the weekend tearing it apart.
https://t.co/v71B16Ggov
✌🏾
@Similarweb@Kevin_Indig@lilyraynyc I have trouble seeing how the success of Yahoo broadly could account for the jump in search market share at the expense of Google but in tandem with Bing. Something seems off with GlobalStats' data.
@jonoalderson Agree. My team recently updated some SEO best practices for one of our front-end dev teams using a new-to-them JS framework. Sure, there are particular pitfalls, but it's all driven by the same principles.
It here! The DOJ finally released "Life of a Click" - explaining how Google used clicks for ranking
3 Pillars of Ranking:
• On-page
• Links+Anchors
• User-interaction
1/5 🧵