One of the greatest things Moz has to offer is a leadership team that has given me the freedom to do what it takes to “make things right.” I first encountered this when Moz agreed to spend a lot of money on clickstream data so we تلاش کے حجم کو بہتر بنا سکتا ہے
About 6 months into this multi-year project to replace بڑے لنک ایکسپلورر کے ساتھ ہمارا لنک انڈیکس ، مجھے اوپن اینڈڈ سوال کا کام سونپا گیا تھا، "How do we know if our link index is good? ” I had been thinking about bangladesh number data this question since this article was published in 2015 and I knew I wouldn’t move forward with anything other than a system that starts with a web template. Once again, Moz told me what it took to “get it right,” and they let me go with it.
What's the big deal with randomness?
It's really hard to overstate how important a good random sample is. Let me digress for a second. Let's say you look at a survey that says 90% of Americans believe the Earth is flat. That would be a scary statistic. But later you find out that the survey was conducted at a Flat Earth convention and the 10% who disagreed were convention center employees. That makes perfect sense. The problem is that the sample of people surveyed wasn't random Americans - instead, it was biased because it was taken at a Flat Earth convention.
Now, imagine the same thing for the web. Let’s say an agency wants to run a test to determine which link index is better, so they look at a few hundred sites for comparison. Where did they get the sites from? Past clients? Then they’re probably biased towards SEO-friendly sites and not reflective of the web as a whole. Clickstream data? Then they’ll be biased towards popular sites and pages — again, not reflective of the web as a whole!
Backlinks per domainFix it.
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