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CHARTELLIGENCE VISUALIZES THE EFFECTS OF GOOGLE PANDA

Chartelligence has unique data gathering and visualization powers, which are beautifully demonstrated when trying to analyze the effect of the Google Panda updates on several websites.

Google Panda updates are algorithm changes in Google’s search results, which Google started employing on February 2011, in order to provide search results with higher quality. These algorithm changes had major effects on several websites, who saw their traffic shoots up or plummets, and behaving erratically with each update push.

These updates are real world events that have immense influence on these websites business, but they are not part of their internal events or core data. And that’s exactly the gap that Chartelligence bridges.

Let’s dive into the charts. Put yourself in the shoes of the site’s owner, and while analyzing the charts ask yourself “Does Panda affect me?” and “What Can I learn from it?”.

Slideshare suffers from Panda 3.6 and Panda 3.7

Slideshare, the slideshow sharing site, was dubbed as one of Panda 3.5 winners. And in fact, after Panda 3.5 you can tell there’s a slight rise in traffic. But see what happens after the Panda 3.6 and 3.7 iterations? Down to about 60% traffic.

Does Panda affect me? 
Yes.

What can I learn from this? 
My business is directly affected from Google Panda. I should try to follow Google’s guidelines on how to create better quality content.

Metrolyrics suffers constantly

Metrolyrics, a songs lyrics content site, seems to suffer with each Panda update

Does Panda affect me? 
Hell Yes!

What can I learn from this? 
My business is completely dependent on search traffic, and Google Panda is a real threat to my core business. I should really try to take measures to improve my content, or start looking for other business ventures…

Tumblr not affected by Panda

Tumblr, the blogging platform which lets users create dead simple blogs, seems not to be affected at all from Panda updates. They have fluctuations on their charts, but they should be explained otherwise.

Does Panda affect me? 
No.

What can I learn from this? 
Although my content is user generated, and I would tend to think that Google deems it of low quality, my business is actually sustainable enough and not affected by Google algorithm changes. I should keep up my good work!

Federated Media suffers from Panda 3.5 and 3.6, fully recovers after 3.7

Fedrated Media, the network of independent online publishers, was hit hard on Panda 3.5 and 3.6, but seems to have recovered on Panda 3.7, and even more so on Panda 3.9

Does Panda affect me? 
Yes.

What can I learn from this? 
Panda can have a major influence on my traffic, and although my business recovered, I can’t count on it that it will do so in the future. I should probably consider implementing some of Google’s guidelines.

Crackberry shoots up on Panda 3.5, and again on Panda 3.6

Crackberry is a forum for those people that are still left addicted to their Blackberries. In this example you can see that there’s a peak in the chart that cannot be explained by Panda. However, the last 2 peaks rose above average, and are correlated nicely with Panda 3.5 and Panda 3.6.

Does Panda affect me? 
Seems like only positively.

What can I learn from this? 
Seems like I was affected positively by Panda updates. I probably shouldn’t worry too much about Panda updates, but I still need to keep an eye on things, because if I can shoot up on updates, I might be also affected negatively on the next iterations.

This was just a simple example of how Chartelligence can be used to gain insights on the effects of real world events on your important business metrics, and how it can be used as an important tool in your decision making.

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