This post is an adapted video transcription that has been edited for better readability.
This post is an adapted video transcription that has been edited for better readability.
I originally wrote this post for the Seer Interactive blog.
SEMrush is powerful, versatile and all things considered, remarkably accurate. With that being said, SEMrush’s advanced features can be both a gift and a curse. With advanced functionality often comes complexity and it’s fairly easy to get lost in SEMrush’s broad array of features.
This guide will serve as a walk through of SEMrush’s most useful ones. I’ve broken the guide into five parts: organic rankings, keyword research, mobile user experience, competitor insights, and backlink data. Under these five topics, I’ve included how-tos on features in SEMrush to use in relation topic for your SEO endeavors.
On the precipice of primary season, there’s maybe never been a more competitive election. On the Democratic side, you’ve got Bernie Sanders and Hillary Clinton, neck and neck after the Iowa Caucus. On the Republican side, a half dozen candidates who seem to swap places in the polls on a near weekly basis, and until recently another half dozen waiting in the wings.
If Barack Obama’s 2008 and 2012 campaigns have taught us anything, it’s that smart use of digital media can pay off big time in the election cycle. Obama rallied voters, especially younger ones, through smart use of social media. In the 2016 election, every candidate is on Facebook, Twitter, even Instagram.
But what about SEO? Every candidate has a website – what exactly are they doing with them? How are people getting there? With more than 14 major candidates in contention, someone has to rank for something, right? Is anyone actively targeting an SEO strategy?
I originally wrote this post for the Seer Interactive blog.
It happens all the time – you’re on Pinterest and see something so cool that you immediately want to find out what it is, and where you can purchase it. Basically, an experience right out of a marketer’s dream.
If the Pinterest image you’ve landed on is the focus item in the Pin, then it’s quite easy to find a place to buy it, either right on Pinterest or elsewhere online. But what if you’re interested in a specific item in only a small part of a photo? Or what if you want to see other photos of the item that aren’t exact matches, but are similar?
This is where Pinterest’s new visual search shines. It gives you the ability to search Pinterest for pins that visually resemble the one you’re looking at, or search for a specific item within the photo.
With Pinterest being a must-have platform for marketers, it’s important to understand how this feature works and what marketers stand to gain from it. In the sections that follow, we’ll illustrate this feature’s capabilities and suggest marketing strategies to begin thinking about in regards to this new Pinterest feature.
Months back, a client launched a Tumblr blog. I won’t get into why they/we decided on a Tumblr blog, I’ll just say that we launched a Tumblr blog. I had never done much work with Tumblr before, so I relished the opportunity to dive in and see what I could do, Tumblr-wise.
Turns out Tumblr is much more versatile than I even knew. You can add an HTML theme and completely customize the appearance. You can add Open Graph tags and Twitter card data. You can add canonical tags and re-targeting pixels. You can add Google Analytics and track traffic similar to a regular website.
Let me start by saying that none of this is groundbreaking news – in fact it makes a lot of sense if you think about it a bit.
A new Panda algorithm update has recently been announced (v4.2) and the rollout is expected to take months. Not coincidentally, lots of SEOs have recently received notifications in Search Console (formerly Webmaster Tools) that blocking CSS and Javascript files in robots.txt can cause issues.
