Posted by dohertyjf
We all know that online marketing is changing. When I started in online marketing a few years ago, all the talk was still about links and directories and ways to get more exact match anchor text. Some SEOs were doing some pretty nefarious things and profiting from it, but most of that came crashing down starting in February 2011 (with the first Panda algorithm) and then over the past couple of years with Panda, Penguin, and the EMD update all rolling out and affecting websites the world over.
Rand talked last week about the changing SEO metrics, and today I want to talk about the changing landscape of competitor analysis as more and more people make the shift from just SEO to inbound marketing. Since inbound marketing includes a lot more than SEO, if we want to be effective inbound/online marketing consultants, we need to not only have proficiency or knowledge of the different roles of an inbound marketer, but when we get into actionable recommendations for our clients or our company we need to know how to analyze what our competitors are doing across the whole marketing space, both to identify deficiencies in their … Read the rest
All marketing rises and falls on your ability to recognize your audience and speak directly to them. Yet all too many advertising campaigns fail to do one or both of these things, and itâ€™s really easy to miss the mark with SEO if you donâ€™t do your homework about your customer demographics … Read more
There is no doubt extensive and detailed keyword research has its place. If you haven’t been exposed to effective processes for vast keyword research I’d recommendÂ diving into my “explode your keyword list right” series. But sometimes keyword research should be quick and dirty. Exactness is not always essential and you don’t need mounds of data to back up the need of targeting a select number of obviously relevant keyword terms.
Quick Keyword Research Process
Step 1 -Â Gather Baseline Using Web Analytics
- Export keyword data
- Gather current rankings
The goal here is to gather enough data to be able to quickly manipulate your keywords to shed light on opportunities.
Step 2 – High Return / Low Ranking Keyword
- Sort keyword data to show high converting, low ranking keywords.
- Select valuable term.
- Identify similar terms in analytics data.
By simply organizing your data through a “custom sort” you are able to quickly see terms that are converting well for you, but don’t rank particularly high in search engines. These are ideal opportunities for building upon and targeting.
Step 3 -Â Check Competitors / Google Suggest
- Run queries in Google for top common terms to identify additional commonly searched phrases through
Posted by larry.kim
This post was originally in YouMoz, and was promoted to the main blog because it provides great value and interest to our community. The author’s views are entirely his or her own and may not reflect the views of SEOmoz, Inc.
Ahoy, SEOmoz UGC blog lubbers! In honor of International Talk Like a Pirate Day, today's post will show you how to unlock a secret treasure trove of SEO keyword research data from your own company’s AdWords account! Avast!
Great SEO always starts with great keyword research – unfortunately, getting high-quality, actionable keyword data can sometimes be challenging for several reasons:
- Google’s keyword tool is an undependable source – it doesn’t always provide complete, accurate data.
- Google analytics is an unreliable source, no longer showing all of the data for organic search referrals. Also, your Google Analytics data, by definition, tells you about what you’re already ranking on, not what you're missing out on!
- Keyword suggestion data in general is unreliable from a conversion perspective – it can tell you how popular a keyword is relative to other terms, but it can't tell you how it will perform on your specific
Posted by randfish
Do more tweets of a URL lead to higher search rankings on Google? Do longer articles get more shares on Facebook? Do emails that contain images have lower open rates?
These, and hundreds of other questions marketers are constantly asking, can be answered mathematically through correlation data. Yet, it seems there's an unfortunate bias against correlations, specifically in the SEO community. Part of this has to do with the well-known maxim "correlation is not causation." This is eminently true.
However, I LOVE to know correlation, even when it's wholly disconnected from causation, and I'm surprised more marketers rail against the acquisition of this knowledge. After all, we constantly use correlation-based observations in our everyday lives, scientists use it frequently to discover potential hypotheses and put forward experiments to test them.
For example, I personally care less about what Google actually uses as ranking elements in their massive algorithm than on what kinds of sites and pages tend to perform well. To my mind, it's much more fascinating to learn, that, for example, stories that appear in the Google News results are much more likely to have images originally sourced by the news publisher than it would be to … Read the rest