“You’ll never guess why a certain SEO company decided to do…”
Last week, we discussed the importance of TF*IDF to SEO and we learned a few things, which is good. The thing about SEO is that a lot of it is trial and error so we’re going to be taking learning about TF*IDF which means Term Frequency – Inverse Document Frequency a step further by doing a case study on it using actual data from the SEO Hacker website.
Youtube is the second largest search engine. A lot of people are doing SEO for Google – which usually ends up with Bing and Yahoo rankings following suit. What we fail to see is that Youtube SEO can gain you far more search traffic than Yahoo and Bing does. So if you’re not doing Youtube SEO, you’re missing out.
Ever wish you can beat your (most amazing) competitors but you feel like you don’t have all the resources and power to do so? That’s okay, for there are so many ways to do it, and so many tools that you can use to help you.
There are very few things written about Dwell Time Metrics (A.K.A. User Activity Metrics) as a ranking factor relative to linkbuilding, on-site SEO, and yes, even microdata. Knowing that Google sneaked in the Phantom 2 update (which became known as the “Quality Update“) to their core algorithm right when they launched the highly-awaited, “Mobile-geddon”, this untold SEO secret has become even more important.