They probably rushed the interface in GA4 because Universal Analytics wasn't GDPR compliant. Companies using it in Europe were getting sued, some countries were making moves towards banning it (Norway, Italy, Sweden, France, etc...) So rush out the new version that is compliant, let those who...
The hostnames you shared are similar to what I was seeing, that it's hitting redirected domains. In my case I don't have those alternate domains defined in GA4 so I would think it had to have come across them by actually hitting them and not just pinging my GA4 ID.
That's why you need to verify your hostname for these visits in GA. If they don't match your domain then you're right, they aren't hitting your site.
The tag manager approach only works if they're actually hitting the script somehow. Which I'm not 100% sure they are.
Another alternative to get...
You could use JavaScript to make something similar but it's already there and free.
If you want to get deeper into it, look into the datalayer, very handy for passing e-commerce data to other platforms or custom coding
Hostnames in Google Analytics is referring to what domain the script loaded on. The last big round of ghost referrals spam I recall addressing weren't actually hitting your site and wouldn't get this value correct. So it was easier to filter out by whitelisting your hostname (domain, subdomains...
I use Supermetrics and that appears to filter out ghost referral spam because I can't get it to pull into my reports however, it's definitely in the Google Analytics interface.
I can see it's spoofing hostname but only our domains that exist as redirects (misspellings, .biz, etc...). I don't...
Try visiting the site with your user agent set to googlebot. If it no longer redirects to your domain it could be an indicator of some type of spam.
Is it possible your registrar threw in the .co as some type of promotion and you actually have it but didn't realize?
I'd leave it and say what you think they do well but don't be shy about mentioning what you do better. It's similar to brands replying to bad reviews instead of deleting them. It acknowledges that an issue or competitor exists and let's your brand claim where it stands as opposed to hiding or...
A forum is a viable option, you just need to consider if the time spent maintaining it is worth it for you and how you plan to manage the impact of low quality content potentially residing on your primary or subdomain.
You're not going to outrank the big guys on big terms at least not in the...
Ryuzaki's points are spot on about subdomains. If you do decide to go with the forum, subdomain would be the cleanest route to keep UGC separate from your written content on the primary domain and easier to get rid of if you decide it's no longer worth maintaining.
Another thing you could...
1. Finance is going to be one of the tougher niches to get started in. Google is protective of your money your life (YMYL) categories. Sites that rank in this niche compete to showcase expertise, authority and trust (EAT).
2. AVD or more commonly referred to with websites as "average time on...
Look into setting up a DMARC policy, this allows you to verify what hosts are allowed to send email from your domain. You'll want to set up DKIM and SPF.
At what point would it actually be easier to just run Reddit Ads and not have to worry about all this shit? It's a pretty straight forward platform, you can pick the subreddit you want to promote in instead of fucking around trying to avoid bans.
Look into "upstream web analytics", it uses traffic data collected from ISPs. It's definitely not free but Similarweb might have what you're looking for traffic analysis.
This will become a factor when you see your open rates, unsubscribes and spam complaints. If you haven't been sending email, warm up your list by sending to your more recent subscribers, they'll be less likely to mark as spam. If you hit that whole list at once you might hurt your deliverability.
The potential is definitely there. The lengths I've seen link builders go to keep their sources private alludes to that risk too.
Some of the examples struck me as odd though, in particular guessing income level by the sound of the car or listening for a baby to stop crying before prompting a...
I wish there was more context because this is interesting and unsettling. Maybe this is a mock scenario of how machine learning could go too far?
Most of this feels made up but maybe feasible in the near future based on the research paper they mention...