Sunday 29 April 2018

10 Best WordPress Plugins for Affiliate Marketing

Original source: 10 Best WordPress Plugins for Affiliate Marketing via DailySEOblog.

Affiliate marketing is the latest buzz word. It is a key strategy that businesses today are using to promote themselves and reach a wider audience. Increased sales, more traffic, qualified leads, extending brands reach, better SEO rankings are the major benefits of affiliate marketing. In 2016, US retailers spent $4.7 billion on affiliate marketing. Astoundingly, affiliate marketing...



source https://dailyseoblog.com/best-wordpress-plugins-affiliate-marketing/#utm_source=rss&utm_medium=rss

Tuesday 24 April 2018

PageRank Updated

A popular search engine developed by Google Inc. of Mountain View, Calif. uses PageRank.RTM. as a page-quality metric for efficiently guiding the processes of web crawling, index selection, and web page ranking. Generally, the PageRank technique computes and assigns a PageRank score to each web page it encounters on the web, wherein the PageRank score serves as a measure of the relative quality of a given web page with respect to other web pages. PageRank generally ensures that important and high-quality web pages receive high PageRank scores, which enables a search engine to efficiently rank the search results based on their associated PageRank scores.

~ Producing a ranking for pages using distances in a web-link graph

A continuation patent of an updated PageRank was granted today. The original patent was filed in 2006, and reminded me a lot of Yahoo’s Trustrank (which is cited by the patent’s applicants as one of a large number of documents that this new version of the patent is based upon.)

I first wrote about this patent in the post titled, Recalculating PageRank. It was originally filed in 2006, and the first claim in the patent read like this (note the mention of “Seed Pages”):

What is claimed is:

1. A method for producing a ranking for pages on the web, comprising: receiving a plurality of web pages, wherein the plurality of web pages are inter-linked with page links; receiving n seed pages, each seed page including at least one outgoing link to a respective web page in the plurality of web pages, wherein n is an integer greater than one; assigning, by one or more computers, a respective length to each page link and each outgoing link; identifying, by the one or more computers and from among the n seed pages, a kth-closest seed page to a first web page in the plurality of web pages according to the lengths of the links, wherein k is greater than one and less than n; determining a ranking score for the first web page from a shortest distance from the kth-closest seed page to the first web page; and producing a ranking for the first web page from the ranking score.

The first claim in the newer version of this continuation patent is:

What is claimed is:

1. A method, comprising: obtaining data identifying a set of pages to be ranked, wherein each page in the set of pages is connected to at least one other page in the set of pages by a page link; obtaining data identifying a set of n seed pages that each include at least one outgoing link to a page in the set of pages, wherein n is greater than one; accessing respective lengths assigned to one or more of the page links and one or more of the outgoing links; and for each page in the set of pages: identifying a kth-closest seed page to the page according to the respective lengths, wherein k is greater than one and less than n, determining a shortest distance from the kth-closest seed page to the page; and determining a ranking score for the page based on the determined shortest distance, wherein the ranking score is a measure of a relative quality of the page relative to other pages in the set of pages.

Producing a ranking for pages using distances in a web-link graph
Inventors: Nissan Hajaj
Assignee: Google LLC
US Patent: 9,953,049
Granted: April 24, 2018
Filed: October 19, 2015

Abstract

One embodiment of the present invention provides a system that produces a ranking for web pages. During operation, the system receives a set of pages to be ranked, wherein the set of pages are interconnected with links. The system also receives a set of seed pages which include outgoing links to the set of pages. The system then assigns lengths to the links based on properties of the links and properties of the pages attached to the links. The system next computes shortest distances from the set of seed pages to each page in the set of pages based on the lengths of the links between the pages. Next, the system determines a ranking score for each page in the set of pages based on the computed shortest distances. The system then produces a ranking for the set of pages based on the ranking scores for the set of pages.

Under this newer version of PageRank, we see how it might avoid manipulation by building trust into a link graph like this:

One possible variation of PageRank that would reduce the effect of these techniques is to select a few “trusted” pages (also referred to as the seed pages) and discovers other pages which are likely to be good by following the links from the trusted pages. For example, the technique can use a set of high quality seed pages (s.sub.1, s.sub.2, . . . , s.sub.n), and for each seed page i=1, 2, . . . , n, the system can iteratively compute the PageRank scores for the set of the web pages P using the formulae:

.A-inverted..noteq..di-elect cons..function..times..fwdarw..times..function..times..function..fwdarw. ##EQU00002## where R.sub.i(s.sub.i)=1, and w(q.fwdarw.p) is an optional weight given to the link q.fwdarw.p based on its properties (with the default weight of 1).

Generally, it is desirable to use a large number of seed pages to accommodate the different languages and a wide range of fields which are contained in the fast growing web contents. Unfortunately, this variation of PageRank requires solving the entire system for each seed separately. Hence, as the number of seed pages increases, the complexity of computation increases linearly, thereby limiting the number of seeds that can be practically used.

Hence, what is needed is a method and an apparatus for producing a ranking for pages on the web using a large number of diversified seed pages without the problems of the above-described techniques.

The summary of the patent describes it like this:

One embodiment of the present invention provides a system that ranks pages on the web based on distances between the pages, wherein the pages are interconnected with links to form a link-graph. More specifically, a set of high-quality seed pages are chosen as references for ranking the pages in the link-graph, and shortest distances from the set of seed pages to each given page in the link-graph are computed. Each of the shortest distances is obtained by summing lengths of a set of links which follows the shortest path from a seed page to a given page, wherein the length of a given link is assigned to the link based on properties of the link and properties of the page attached to the link. The computed shortest distances are then used to determine the ranking scores of the associated pages.

The patent discusses the importance of a diversity of topics covered by seed sites, and the value of a large set of seed sites. It also gives us a summary of crawling and ranking and searching like this:

Crawling Ranking and Searching Processes

FIG. 3 illustrates the crawling, ranking and searching processes in accordance with an embodiment of the present invention. During the crawling process, web crawler 304 crawls or otherwise searches through websites on web 302 to select web pages to be stored in indexed form in data center 308. In particular, web crawler 304 can prioritize the crawling process by using the page rank scores. The selected web pages are then compressed, indexed and ranked in 305 (using the ranking process described above) before being stored in data center 308.

During a subsequent search process, a search engine 312 receives a query 313 from a user 311 through a web browser 314. This query 313 specifies a number of terms to be searched for in the set of documents. In response to query 313, search engine 312 uses the ranking information to identify highly-ranked documents that satisfy the query. Search engine 312 then returns a response 315 through web browser 314, wherein the response 315 contains matching pages along with ranking information and references to the identified documents.

I’m thinking about looking up the many articles cited in the patent, and providing links to them, because they seem to be tremendous resources about the Web. I’ll likely publish those soon.


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Wednesday 18 April 2018

The Worldpress Longtail Blog Strategy

Using WordPress Tags and Google+ targeting longtail keywords can really turbo charge rankings for multiple reasons, not only the long tails but also your mid tail and main SEO target keywords.

In the video below I first go over the strategy in brief, and then slowly make a post with this strategy so you can see every step of the way. Be warned though, my idea of a “quick video” on this turned into a 44 minute epic, so you may want to grab some strong coffee lol – if you’re pretty tech / SEO savvy the first 5-10 mins though should do the trick.

I’ve also made a little tool below to help speed up making lists for hashtags and WordPress tags for this strategy…

https://www.scott.services/tool

Any questions on it please feel free to contact me 🙂

The post The Worldpress Longtail Blog Strategy appeared first on Scott SEO & PPC Services.



source https://www.scott.services/the-worldpress-longtail-blog-strategy/

source http://scottservicesuk.blogspot.com/2018/04/the-worldpress-longtail-blog-strategy.html

Wednesday 11 April 2018

Episode 10: How to make money from your blog with AdSense

Original source: Episode 10: How to make money from your blog with AdSense via DailySEOblog.

Placing ads on their blog is the most common way bloggers make money, just like I did. Each time an ad on their website is clicked by a visitor, the blogger is paid for that click. Nowadays, bloggers have the options to choose from the endless advertising programs. However, I would recommend you to go...



source https://dailyseoblog.com/how-to-make-money-with-adsense/#utm_source=rss&utm_medium=rss

Episode 9: How to write compelling content that Google loves

Original source: Episode 9: How to write compelling content that Google loves via DailySEOblog.

When an Internet user types something in Google’s search box, they might be least bothered about knowing why one webpage ranks #1 and another comes at the bottom of Page 5. They are most likely to find what they are looking for among the first few search results, with the tiniest percentage of visitors even...



source https://dailyseoblog.com/how-to-write-compelling-content-that-google-loves/#utm_source=rss&utm_medium=rss

Episode 8: How to Decide What Content to Blog About

Original source: Episode 8: How to Decide What Content to Blog About via DailySEOblog.

Staring at the blank screen again? This is one experience that every blogger will identify with! Writer’s block isn’t about being a novice or a pro blogger, it is about being able to come up with a great idea for a content piece. Content is not called King for nothing. When pitted against paid search,...



source https://dailyseoblog.com/how-to-decide-content-to-blog/#utm_source=rss&utm_medium=rss

Tuesday 10 April 2018

Google’s “Random Algo” Explained

So what is Google’s “random algo” or “rank modifier” that it also goes by? well in the video at the end of this page (HIGHLY recommend viewing on this subject, if you prefer to watch than read, scroll down now) we go into depth on what it is and I highly recommend watching the video, but in essence, its designed to try and fool / worry the unknowing SEO provider and / or SEO client. Basically, if Google spots anything that could be SEO, they roll a dice on three metrics…

  1. positive or negative
  2. time frame
  3. position adjustment

Here’s some examples based on different scenarios…

An SEO gains a brilliant backlink to the site, the anchor text is natural, the content of the site and theme related to the target site, high quality original content on the page that links to the target site, etc etc. Google spots this, and this new link gives the target page a boost in trust, authority and power to take the target keyword from position 8 on page 1, to position 5, but the random algo kicks in, and rolls the dice on the three metrics and picks…

  1. positive or negative = negative
  2. time frame = 3 weeks
  3. position adjustment = 10

So instead of jumping to position 5, which this backlink has really given, the random algo pushes their 8 position down to position 18 for 3 weeks. If the link is still there in 3 weeks, this random algo is removed and they gain what they should of, and jump to position 5. If you didn’t know about the random algo, you may panic that this link has sunk the ranking from position 8 to 18 and remove it and never wait out the random algo and now that position 5 is lost, AND, you may of just tipped off Google you’re doing SEO because if this link wasn’t for SEO gain, why was it removed soon after a dip in rankings.

what is the Google random algo
Here’s another example….

An unknowing SEO sees a great gig on fiverr where they can get 100,000 backlinks to their site for just $5, they’ve read that backlinks are powerful for SEO so they order 10 of these for $50, so 500,000 backlinks. These are made and point links to the target site all using the same anchor text, and all the links are from spammy websites. At the moment they’re ranking position 27 for their target keyword and they fire the 500,000 links to the target page, Google spots this and these link reduce trust and should take their position 27 to position 90 BUT, the random algo fires up yet again…

  1. positive or negative = positive
  2. time frame = 2 months
  3. position adjustment = 7

So their position 27 moves up to 20, the SEO thinks “wow this is brilliant” and buys even more so now there’s another 500,000 spammy links (upon seeing this Google would fire off another random algo layered on top of the first). After 2 months the random algo falls off, and the page drops to position 90. Google fooled the SEO into thinking they were good links so they would do more.

Now this is where it gets “fun”. Backlinks are not the only thing to fire off a random algo, other metrics such as: social signals, page / html / site changes, different user metrics, etc and to make it even more complex, every one of these gets its own random algo. For example, lets take just one metric, backlinks, and take the situation where a backlink is added daily to link to a target site, so every day a random algo fires, then daily the random algos could be something like…

day 1 = positive / 8 days / 3 positions

day 2 = positive / 32 days / 1 position

day 3 = negative / 2 days / 76 positions

…. etc – so when this is happening on every backlink found and processed, every social signal, every site change, the somewhat “simple” idea Google has come up with here is just beautiful (from their side at least lol) in making SEO testing take a lot longer (as you need to stop SEO tests and then wait it out for the random algos to “fall off”) and makes it easier for SEO to panic and shoot themselves in the foot, and finally it makes it harder for clients buying SEO services to see what is working / isnt. For example, a client may rank at position 20 for a keyword, start with a great SEO provider who does amazing work and out of “bad luck” with the random algos, actually see things get worse for a time. If the SEO and client arent a) aware of the random algo and b) able to test and verify rank drops arent due to other reasons (as you can’t and shouldnt just write off a rank drop as “probably the random algo” as there could be other reasons such as site issues, page issues, content issue, negative seo etc) then the client may think the SEO service isnt working and stop (which is what Google wants).

Any questions on the above please feel free to shoot me an email at scott@scott.services, I’ve love to hear from you, and all the best with your SEO, Scott 🙂

If you’d like to get even more information about it, why not check out Googles patient on this at https://patents.google.com/patent/US20090171943

 

The post Google’s “Random Algo” Explained appeared first on Scott SEO & PPC Services.



source https://www.scott.services/googles-random-algo/

source http://scottservicesuk.blogspot.com/2018/04/googles-random-algo-explained.html

Episode 7: How to Set the SEO Basics Right for Your Blog

Original source: Episode 7: How to Set the SEO Basics Right for Your Blog via DailySEOblog.

I have been asked several thousand times why I started my own blog. The initial aim was to share my ideas and experiences with others. However, I soon realized that my blog could become a great way to expand my networking opportunities with my professional peers. So, I started being more and more creative with...



source https://dailyseoblog.com/how-to-set-the-seo-basics-right-for-your-blog/#utm_source=rss&utm_medium=rss

Episode 6: How to Install Plugins on Your New WordPress blog

Original source: Episode 6: How to Install Plugins on Your New WordPress blog via DailySEOblog.

Once you have installed WordPress, the next thing you need to look for are plugins, to spruce up your site and add crucial functionalities. There are thousands of free and paid plugins available for almost every function or feature on a WordPress website and more are being created almost everyday! Choosing the right plugins could...



source https://dailyseoblog.com/how-to-install-plugins-new-wordpress-blog/#utm_source=rss&utm_medium=rss

Episode 5: How to Choose the Right Theme for Your Blog

Original source: Episode 5: How to Choose the Right Theme for Your Blog via DailySEOblog.

Last week, I woke up feeling totally low on energy. I didn’t feel like doing anything, not even getting out of bed. I was surprised to see how my mood changed almost instantly when I wore a yellow T-shirt. Yes, colors can have a significant impact on our mood. According to WebPageFX, neatly 85% consumers...



source https://dailyseoblog.com/how-to-choose-the-right-theme-for-your-blog/#utm_source=rss&utm_medium=rss

Episode 4: Best WordPress Hosts for Your Blog

Original source: Episode 4: Best WordPress Hosts for Your Blog via DailySEOblog.

In a galaxy far, far away, when they built a website, not much thought was paid to the web hosting service. However, the new revolution that has brought every Jedi online, your choice of web host definitely makes a difference not just to your visibility in the virtual galaxy but how you are ranked by...



source https://dailyseoblog.com/best-wordpress-hosts-for-your-blog/#utm_source=rss&utm_medium=rss

Episode 3: How to Choose a Host for Your Blog

Original source: Episode 3: How to Choose a Host for Your Blog via DailySEOblog.

So, you’ve decided to create your own blog? Great! Welcome to the club! You will not have what they can an online asset. And, while such an asset doesn’t require much capital investment, one thing that is definitely worth investing in is a reliable hosting service. Why, you ask? Web hosting is what will keep...



source https://dailyseoblog.com/how-to-choose-a-host-for-blog/#utm_source=rss&utm_medium=rss

Episode 2: Where to Buy Cheap Domain Names From?

Original source: Episode 2: Where to Buy Cheap Domain Names From? via DailySEOblog.

If you’ve already read Episode 1, you know that finding a good domain name can be crucial to the success of your blog or business website. It is your unique identity online, one that you can use to establish your brand and make it memorable for visitors. For me, a key advantage of having a...



source https://dailyseoblog.com/where-to-buy-cheap-domain-names-from/#utm_source=rss&utm_medium=rss