Link-Lists and Traffic-Trading-Systems for mainstream

codePerformance

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Hello everyone,
I’ve had an idea some time ago and I would like to discuss this here in a big round.

May some of you know, many Adult/Porn websites using some traffic trading systems (Comus ePower Trader, CJoverkill, Fast Traffic Trader 2, TradePulse, Arrow Trader, ) which are ranking other websites in a link-list which is mostly located in the navigation or footer. The positions in the list link are determined by sent and received clicks and the click quality (by measuring the clicks from a user which was sent by one of the link partners. The more clicks a user made the better is the user/click quality).

Why such an automated approach of link partnerships never made their way into mainstream websites? I mean every webmaster could use fresh targeted users to his online project. Another advantage would be in the acquiring of targeted backlinks which could increase the own SE-Rankings.

Would you use such a trading-script to get new targeted traffic on your website? Remember you have to place such a link list as well so you could “lose” some of your traffic as well.


Lets the discussion begin.
 
Trade scripts were used mainly by TGPs and MGPs. The idea is to trade the free loaders with other sites to grow the sites traffic.

This works well for sites like adult sites, gaming etc were majority of the visitors are returning visitors looking for free stuff. So it makes sense to try to sell them first and if you can't sell anything to them trade them with other sites.
But for most mainstream sites majority of the traffic is from search engines, ads and social networks. It doesn't make sense to trade search engine/ad traffic. Instead you can build an email list.

But for sites with massive amount of returning visitors, traffic trading might work well.
 
But for most mainstream sites majority of the traffic is from search engines, ads and social networks. It doesn't make sense to trade search engine/ad traffic.
Theoretically you're right. Mainstream sites could get visitors from search engines. But in reality they will get nothing unless they have a certain amount of trust/authority-flow already (look at the results, big websites they even do not contain the keyword are ranked on the first page, due they have more authority).
In search engines we have the problem of limited "space" in general (only the first 2 pages of a search will be opened and visited by search engine users). Topics which are rising in interest (like "artificial intelligence") are more and more discussed in countless articles but only 20 of these are getting attention (due the limited space of search engines and their authority system) and all of these are big websites which are discussing that topic in a superficial way.

Let's image these 20 articles have a link-list in their side-bar which contains 5 relevant articles by third party websites (and they have such a link-list as well and so on). The visitors has always alternatives which could get him deeper into the topic or describing the topic from a different perspective. While every webmaster of these websites getting his users and rewards.
 
I guess most mainstream companies dont really put that much focus on SEO / SERP rankings.
Since they have a good budget to spend, they might just opt for social media Ads/SEM for more instant performances?

As far as I know, they only hire agencies to perform such SEO related tasks, such that these agencies should always play safe and refrain from using risky methods such as the ones you mentioned.
 
It might be a SEO-hack if the links of a Linklist would be normal do-follow links. But when they are Nofollow-Links such SEO-Risks would be solved. Such a Linklist would be more an exchange of topic-interested visitors, rather a SEO optimizing system due it is not measurable how much trust-flow a webmaster may lose and get by his (temporarily) link partners. Even the niches of 2 websites could be targeted correctly (due Information Retrieval) trust-flow metrics are harder to get and they would support the Trust-flow-related monopoly problem of the web.
 
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