Cheat behavioral factors using Movebo - Profit Hunter

Cheat behavioral factors using Movebo - Profit Hunter

Website optimization and promotion is perhaps one of the most rapidly developing areas in modern advertising - almost every month search engine creators come up with new ways to eliminate the ability to manipulate their behavior, and optimizers - new ways to carry out these same manipulations. Recently, search engines have been paying more and more attention to how many different people opened your site on the results page, how many pages of the site each of them looked at, how deeply it went deeper during browsing. All this is called behavioral factors - that is, factors that are based on how a visitor behaves on your site. People escaping from the site, barely seeing his home page - obviously a bad behavioral factor. People who stay for a long time and scroll through a couple of dozen pages - on the contrary.

Due to the change in the priorities of search engines, methods that have been effective quite recently die off, they are replaced by others. One of them offers the recently opened Movebo service. ru.

How does this system work? Very simple. The main tool is computers, or rather, the IP addresses of real Internet users, each of whom, on a voluntary basis, installed a client service program on their system and received a certain fee for it. After that, the program collects information about user behavior for a while: what time it usually happens on the Web, which sites it runs, how much time it spends on search results and sites, the number of hits and transitions from the issue - up to the mouse movement. Having collected the necessary information, the program starts to perform tasks issued by the system on behalf of the user, and does so in such a way that the actions attributed to the user are not out of their usual course of behavior - that is, it does not suddenly appear that the surfer starts visiting a hundred or two in a row at an awkward time sites not related to each other topics.

By and large, from the point of view of the search engine, it turns out that a person continues to behave completely naturally, in full accordance with his previous habits, but among his search queries there are a number of new ones prescribed by the system - but all the same from a number of those that he used to visit. Each user gets exactly those tasks that best fit into the picture of his behavior. There are a number of other features designed to hide from search engines as much as possible the manipulation of user behavior - for example, the system easily uses the default browser, not necessarily IE. So far, the most common options are supported: IE, Mozilla Firefox, Chrome and Opera. In the future, perhaps, will add support and something more exotic.

For now, the system is in beta mode, so tasks are automatically distributed among users. In the future, the creators of Movebo suggest adding features so that optimizers can customize jobs on their own.

Everything is good in words, but what effect does it actually bring? The creators claim that they are very impressive - they have posted on their website some very interesting results from their recently conducted experiment. Those who want to learn everything in detail can download it on the main page of the site. If in brief, Movebo chose to monitor a thousand keywords for two hundred sites on twenty different topics, in positions no higher than TOP-3 and no lower than TOP-50 in Yandex and Google. On one thousand keys these sites advanced, on the other - no; after some time, the dynamics of these keys were compared. It turned out that the keys promoted in Movebo rose during the experiment (65 days for Yandex, 37 days for Google) by an average of five positions, while the keys that did not move remained about the same where they were.

In general, all this is very interesting - it is quite likely that Movebo in particular and a similar approach in general has a great future.

Well, for a snack - an analytical report on evaluating the effectiveness of the Movebo service for behavioral factors.

Like articles? Subscribe to the newsletter!


Related Articles