The power of Twitter within the SEO space

Last night I was in a Twitter discussion where SEO issues were discussed, and the issue of social signals came up.  

Many  SEO PRACTITIONERS will tell you that social signals have no influence on your search engine optimisation strategies in any shape manner or form, and personally I believe they are right.  How ever the power of  individual tweets is a whole other animal, and some tweets can have a truly astounding impact on your individual online assets in strange and devious ways that at first glance seem unrealistic.

To understand the power of an individual tweet there are many different things that need to be understood, with the two main issues bring

• Duplicate content
• Website architecture

The first thing that one must clearly come to grips with is that each tweet must be annalized and dissected as a stand alone web page.  In every social media platform, your individual posts  are actually deemed to be stand alone web pages, and most folks have great difficulty in digesting this

Now the questions start to pop into your thinking patterns and thought process.... What does the website architecture of your social media activity look like.  In this post we will deal exclusively with Twitter and how your posts on twitter carry #SEOJUICES to the rest of the internet. The SEO juices of a single tweet can be very powerful and carry a great deal of influence in ensuring that individual digital entities recieve rather serious boosts within the Search Engine Results pages

So in Twitter your user name or Twitter handle has a host of different activities, and different uses, some are easy to understand, and others are exceptionally difficult to grasp untill you realise that web site architecture can be, and is indeed used in two distinct and different ways within the twittersphere.

The first one is simple and uses a flat structure where all your tweets are chronologically placed one under the other in the space.  Twitter.com/username/tweet, most folks understand this, as that is what they see within their twitter profiles when they look online?

Think domain/folder/subfolder

The second set of twitter architecture is where all the fun and games take place. This is an exceptionally complicated space where sub domains and nested  drop down folders that can be multiple layers deep, with  rather wide sub level bases. These are found hidden in structures, much like an organisation staff organogogram 

At the top is your original tweet which lives at http://username.twitter.com/tweet

Think subdomain.domain/folder where each tweet is considered as a folder within the subdomain 


Think USER.TWITTER.COM 

Next are the first level replies / comments on this individual tweet.  This level can be very wide, as each comment / reply to your original tweet will sit in this space.

Think USER.TWITTER.COM/ORIGINAL TWEET/ REPLY

Next level down is the replies / comments to the first level of comments / replies.   Then there may be more levels going deeper down the list as each new comment / reply slots into its appropriate position within the developing nested web site architecture, leaving a mass of sub folders containing each new comment / reply in a structured drop-down set of sub folders.

 This will look very much like a company staff chart, with a single boss and a number of workers who are directly responsible to him / her.  Where each first level reply / comment will sit on this level, spreading the first level base as far as there are new replies / comments on the original tweet in question.

This is now where things get rather sneaky and very interesting, coz replies / comments to sepperate posts at this level will drop down into the second tier of the resulting website architecture. Just like the boss in the company has workers who report to him directly, So each reply / comment will have its own list of second responders.

Think   USER.TWITTER.COM/FOLDER/SUBFOLDER

Each first level response will have its own second tier, and the second tier may have its own set of responses in a third tier. These third tier responses may have their own responders who will form the next tier within that individual drop down list.

This can and does get out of hand on long twitter conversations.  So be warned that this is very complicated, and rather messy, making it difficult to put into proper perspective.

Each of these individual tweets may also have likes and shares, then also reshares of shares complicating things even further. The likes do not carry any true SEO VALUE, as they are deemed to be social signals, which most search engines tend to ignore, or give little value within the SEO environment. That being said, the share factor is some what different, with each share bring treated in much the same fashion as the original tweet

So this website architecture is looking like a simple drop-down structure that has an easy to follow make up, with the sharesand reshares taking the same structure, but being placed adjacent to the original tweet

Now that we have the website architecture under control, and can see the flow of tweets in a business staff type organogram we can get into the real meaty part of the discussion

The content of each tweet is now evaluated from a Semantic perspective, starting at the top spot, and flowing steadily through each level with all of the sepperate sublevels bring indexed and evaluated.

Standard SEO evaluation by search engines is applied to each comment in the comment stream, taking into account this list and MANY OTHER ISSUES

• where in the nested loops the comment resides
• What the semantic context of the tweet consists of
• are there any out bound links to pages that expand the conversation
• What is the site authority and page authority level of any such linked to page
• are there any inbound links to individual comments
• Is this comment stream part of an embedded twitter post
• Who are the folks commenting
• How fresh are the comments
• Are the comments relevant to the conversation
• Should the comment get spam treatment
• What was the purpose and intent of each tweet in the comment stream

Because each comment is seen by the search engine as a stand alone web page, the interlinking between each comment is evaluated, where the level within the site architecture is used as a link referral base and out bound links add tremendous value to the SEO link juice of those tweets which contain them, adding SEO value within the entire conversation chain.

This can thus add true value within the Search engine optimisation flow patterns to all the out bound links, with any out bound links in the original tweet getting the lions share of this link juice. The closer to the top of the conversation an out bound link is found, the more link juice it should carry, but this is not always true, as there are many different factors that influence the flow of link juice from a social media conversation.

It can thus be seen that the SEO value of a Twitter conversation can become a very powerful and much appreciated boost to the individual online assets which may be linked to from within the comment streams of a tweet

By on line assets I mean web pages, blog post,  social media profiles or any online content such as images, videos or PDF documents

 Twitter is thus an extremely powerful link building tool
 

The value of Conversion Optimisation from a FUFISM perspective

Because we are looking at Conversion Optimisation from a #FUFISM perspective we firstly need to remind you what we mean by the term +fufism   

FUFISM is an acronym for Functional User Friendly Integrated Social Media and also a marketing philosophy where SEO and your target market research are two of the primary areas that need to be integrated into your total marketing strategy through effective and properly  managed use of the social media

Next we need to describe what we mean when we talk about Conversion optimisation, and how this works

 

In internet marketing, conversion optimization, or conversion rate optimization (CRO) is the method of creating an experience for a website or landing page visitor with the goal of increasing the percentage of visitors that convert into customers. It is also commonly referred to as CRO.

Conversion Rate Optimization is the process of increasing website leads and sales without spending money on attracting more visitors by reducing your visitor "bounce rate". A conversion rate is defined as the percentage of visitors who complete a goal, as set by the site owner. Some test methods, such as split testing or A/B testing, enable one to monitor which headlines, images and content help one convert more visitors into customers.

There are several approaches to conversion optimization with two main schools of thought prevailing in the last few years. One school is more focused on testing as an approach to discover the best way to increase a website, a campaign or a landing page conversion rates. The other school is focused more on the pretesting stage of the optimization process. In this second approach, the optimization company will invest a considerable amount of time understanding the audience and then creating a targeted message that appeals to that particular audience. Only then would it be willing to deploy testing mechanisms to increase conversion rates.

Next we need to understand the term BOUNCE RATE

From Wikipedia, the free encyclopedia

 

Bounce rate (sometimes confused with exit rate is an Internet marketing term used in web traffic analysis. It represents the percentage of visitors who enter the site and "bounce" (leave the site) rather than continue viewing other pages within the same site. Bounce rate is a measure of the effectiveness of a website in encouraging visitors to continue with their visit. It is expressed as a percentage and represents the proportion of visits that end on the first page of the website that the visitor sees

Search engines also use this, but they have a timed version where a user is allocated a time to click on a call to action statement within the page, and if this time exceeds the predetermined time then a bounce is recorded. This time factor is set by the search engines, and us as site owners and marketing professionals have zero input to determine this time factor.  We also have no clue as to what this time factor is. 

From my research it appears that partial bounce rates do exist (at least for Google)  and that the time is not set in stone, and may vary according to the complexity of the search term as well as the polarity of the search term.

Next we  need to understand the term CTA or Call to action,

 In terms of online marketing a CALL TO ACTION is a reference to a link within the content which the marketing team has placed strategically to entice the end user (your target market) to click on so that they may proceed to the next stage of the conversion funnel.

Using the above definition, we must assume that every navigational link on the page is also a CTA. These navigational links may not necessarily be part of the sales  or conversion funnel, but they are never the less important CTA's which allow your end user (your target audience) to move between pages and gather the information that they are looking for.

Next issue to confront is what is a #SERP

A SERP is basically the result that a search engine returns when an end user types a query into the search box and either clicks on search or presses the return key.  This result is mostly pre-calculated by a search engine after your pages are indexed, using a host of different criteria, such as  but not limited to:

• page rank, 
• domain rank, 
• your key words in page,
•  your inbound marketing, 
• your social media marketing, 
• your content marketing,
•  your SEM (Search Engine Marketing)
• The semantics relating to your in-page content
• All your other SEO efforts, both #IPSEO (Inpage Search Engine Optimisation) and #OPSEO (Off Page Search Engine Optimisation)

Now that we have an understanding of the terminology used here, lets get to grips with  the value of Conversion Optimisation in terms of the bounce rate, and as such your SERP's (Search Engine Results Pages)  If an end user does not stay on a page long enough (in terms of the search engines perspective) to gain any value from their visit to the page then this will have a negative impact on the bounce rate from the Search engines perspective.  One way to eliminate this negative perspective from a search engine is to have the end user click on any CTA within the page.  The search engine does not care of your perceived value of this click in terms of your sales funnel  or conversion funnel, and NO CLICK = bad news for bounce rates

Bounce rates are currently (October 2014) one of the primary signals being used by many search engines including Google as SEOVI (Search Engine Optimisation Value Indicators) to determine their SERP's

It thus follows that CO or Conversion Optimisation is a key element in your SEO strategy,  and if not done properly, the damage to your online marketing can and will be considerable.  What most SEO practitioners forget to tell you is that any bad bonce rates have a culminate impact on your domain rank, your page rank, your site's trust factor issues and some other ares that are critical to getting top notch SERP's

My advice to you is thus that you should monitor all your bounce rate issues, and ensure that any pages with a high bounce rate be evaluated in terms of your SEO (Search Engine Optimization) and CO (Conversion Optimisation) policies and that you rectify these as soon as you can




Sources of research for this article

THIS LIST IS NOT EXHAUSTIVE  AND EXCLUDES ALL INTERNAL SOURCE AT INFO4U

1) http://en.wikipedia.org/wiki/Conversion_Rate_Optimization
2_ http://www.meteorsite.com/search-engine-optimization-seo
3) http://www.meteorsite.com/conversion-optimization
4) http://www.meteorsite.com/blog`
5)  http://en.wikipedia.org/wiki/Bounce_rate
6) http://www.web1marketing.com/glossary.php?term=bounce+rate
7) http://www.webopedia.com/TERM/B/bounce_rate.html
8) https://support.google.com/analytics/answer/1009409?hl=en
9) http://www.epower.com/google-analytics-glossary.php


J also evaluated many Google plus posts and conversations  mainly with these profiles but also many others  +fufism +David Amerland +Eric Enge +Joshua Berg +Jaana Nyström +Plus Your Business! +John Dietrich  +SEO  +SEO on Google+ - Search Engine Optimization  +ReelSEO +Mark Robertson +Jeff Huber  +Ammon Johns +Rand Fishkin