Some people think that the more they optimize a page, the better it ranks, so they include ten H1 tags and repeat the keyword they're trying to rank for over and Photo Background Removing over again. Why you shouldn't: It actually worked. In 2000, if you wanted to rank in the "purple elephant" category, all you had to do was include the phrase " purple elephant" multiple times in your title, multiple times in your H1 tags, and ad nauseam in your content. But in 2017, Google is looking for the content that offers the most value to searchers. This means that the over-optimization is Photo Background Removing over and you are focusing on the most complete response to a user's queries. Hidden content Why most people do it: Like hidden links, some people think they can include content that is the same color as the site background.
Everything we do in SEO is an opportunity to learn and improve. That's why I like to experiment. Although Google may reveal a few tidbits of information, it will Photo Background Removing never tell us everything we need to know to take our SEO strategies from the ordinary into the unicorn realm. unicorn seo experiences Today, I'd like to share six SEO experiments we did this year, and then explain what we learned from them. Advertising Continue reading below 1. Does organic search click-through rate matter? We know that machine learning - including Google RankBrain - is changing Photo Background Removing SEO as we know it. Already, Google uses RankBrain for every search, and it impacts “a lot” of queries. Does RankBrain (or other machine learning based things) impact rankings? If so, how?
Well, that's exactly what we wanted to know: what is a good click-through rate for organic search. good-ctr-for-organic-search-feed For this experiment, we looked Photo Background Removing at a set of 1,000 Google Search Console keywords for the WordStream site. What we found is very interesting. In April, the average CTR for the top position was 22%. This rose to 24 percent in July and 27 percent in September. Advertising Continue reading below So our data clearly showed that the top ranked results had their highest CTRs in September. Meanwhile, on the other end, the data showed that the bottom positions (4-10) were clicked on less than ever. Obviously, the click Photo Background Removing curve bends. I think that's exactly what you expect from a machine learning algorithm : it's about delivering the best answers (based on the highest user engagement), which means less many people will need to scroll down and click on lower results.