You don't have to use accounts to save cookies. You can just run history on them and they are probably 60% as strong as a logged in account. Now when you have 100,000 of them. You have a really strong network. I wouldn't do any traffic or CTR without cookies. Fresh searches won't work the same. Especially if all your traffic has no cookies. Easy to spot by the algo's.
I'm trying to visualize how to do this. So I open a browser using Playwright incognito, visit Google, save all cookies, database it. Initiate a new incognito browser, visit Google, save all cookies, database it.
Cookies don't save proxy information. So you can use new proxies each session. Run a generic browsing session, save the cookies and then load them before you do the visits. GEO and niche relevant traffic works the best. So if you are trying to rank a lawyer, have the history include things like searching for lawyer keywords and visiting lawyer websites. Or if you are trying to rank in Las Vegas have it search for Las Vegas terms and websites. Not 100% necessary, but it does work the best.
So incognito not necessary, just create a fresh browser session and maintain its cookies. Use proxies for every session to save the GEO in the cookies? Search for many terms in the niche and construct a normal browser session, no account login necessary. Save/restore the session over time to build out a history of searching for a particular niche. After these sessions have been aged a month or two, use them to follow the shortened URLs. That's the process that will take something from barely ranking to pages 1 to 2.
I don't want to shill any specific product but I mentioned what I use above. Mobile or residential for proxies.
If you do it right, yes.
Yes, fingerprint is very important. And the traffic appearing to be real. Which is why headless won't work the same. But you can test anything.
Google can see the website you were on before you went to the website. Having GA installed on the website helps. But I think they also track activity on Chromium. Even though they claim they don't.
Let us know how it goes.
It's not going to work on a trash website and you are trying to outrank wikipedia. But it does work in certain cases. Just wanted to clear that up so there isn't any confusion. And I don't do anything with shortened urls. You will have to test that for yourself.
No, I don't sell it as a service. But I do have clients that I do work for and also I rank some affiliate and lead gen websites with it.
Does the software you mentioned earlier in the thread change footprint automatically? I'm assuming, if playwright is being used for instance, that you would have to emulate different browser versions, different screen resolutions, different operating systems, different installed plugins? How elaborate do you need to get in mixing up the footprint? If we're using the 100k example you gave, what percent would need to differ in footprint?
1. It depends on the level of traffic that a keyword would normally get. If the keyword gets 100 clicks a day. #1 would probably get (20 clicks), #2 (10 clicks), #3 (8 clicks), #4 (5 clicks), #5-10 maybe (1-3 clicks). So if I'm #5-10, I would send 5 clicks a day to mimic the #4 website. If you aren't on page 1, I would do keywords + brand to get the website into the top 3 positions for CTR until you hit page 1 for the keyword without the brand. When you add the brand it will pull page 1 (95% of the time). I never run straight keyword CTR to anything not on page 1-2. It's a waste of time imo. I don't think the algo is weighted to CTR until you hit page 1-2, and even more the higher you go up they factor it. If you aren't at least on page 2 focus on social referral traffic and branded, keywords + branded searches until you hit page 1-2. Sometimes just doing that will jump you up 30-40 spots.
Main thing with the footprint is try to keep it within 2 versions of what it should be. So if Chrome version is 146, use 144-145-146. Once you go past 2 versions old it sends a red flag. There aren't a ton of variations of footprints. Most people use 4-5 of the same phones and most people use 3-4 of the same PC user agents. So you don't need a huge variation. As long as there is some variation. Out of the 100K you can have a mix of 10 devices and 3-4 user agents randomized. I usually do 70% mobile and 30% desktop. Then probably 60/40 android/iphone of mobile. And then with desktop vary the screen sizes maybe 3-4 different ones that everyone uses.
