Average Percentage of Links WBP Obtains: 23% are edu’s. 21% are .org’s 5% are k12’s 4% are ac.uk’s 1.5% gov’s 0.6% .mil We Build Pages Internet Marketing Services
So how do you get links If you're not going to Buy them??? We Build Pages Internet Marketing Services
Content! We Build Pages Internet Marketing Services
Secrets of Trust Bait 1. What to Write 2. How to Write it 3. And Who To Write to To Get Links We Build Pages Internet Marketing Services
1. What to write …. Give me a topic….any topic… um...no time.. Pool Supply Company Example We Build Pages Internet Marketing Services
Search Google - Pool Safety #1 page http://www.aap.org/FAMILY/TIPPPOOL.HTM 39 links - several highly trusted #2 page http://www.cpsc.gov/cpscpub/pubs/chdrown.html has 89 links...lots of edu's and gov's. #5 page http://www.liveandlearn.com/pools.html 94 links some edu's and other trusted links.
2. How to Write Link Bait vs. Trust Bait We Build Pages Internet Marketing Services
Link Bait for Links
Content Built for Bloggers and social media audience
Almost all links from Blogs (~2007 sites)
Link Value often fades as it's "old news"
10 Examples of Trust Bait We Build Pages Internet Marketing Services
3. Who to Write to Resource 1 on pool safety 89 links Resource 2 on pool safety 111 links Resource 3 on pool safety 150 links Resource 4 on pool safety 75 links Resource 5 on pool safety 75 links = 500 possible emails We Build Pages Internet Marketing Services
500 possible emails. We'll email about ~100 of those We have about a 5% conversion rate on link requests. 100 emails sent @ 5% conversion = 5 links. Hand = ugh! Tools = Brilliant! We Build Pages Internet Marketing Services
Summary for Trust Bait for Links 1. Find pages/topics that get lots of links . 2. Write killer papers on those topics. 3. Write to those who link to #1. We Build Pages Internet Marketing Services
Ranking documents based on user behavior and/or feature data
This reasonable surfer model reflects the fact that not all of the links associated with a document are equally likely to be followed
When a surfer accesses a document with a set of links, the surfer will follow some of the links with higher probability than others.
Four Areas are Analyzed 1 Data about the Link 2 Data about the Page that links to you 3 Data about the Page linked to 4 User Data
1. Data Associated with the Link:
Where link is on page (above fold, in list?)
Number of words in anchor text
Words in the anchor text
Context of words before and after a link
Commerciality of the anchor text
Topical text cluster link is associated with
2. Data associated with the page getting the link
Information about the web site that links to you.
Is link going to same domain, host, or owner?
Words in the (URL) of the target document.
Length of the address of the target document.
3. Data about the page that links to you.
Data associated with links on the page
Number of links on the page
Words on the page
Words in heading of document
Topical cluster with which the page is associated
Degree to which a topical cluster associated with the page matches a topic of the link
4. User Behavior Data
Probability that a link will be selected by a user
Navigational (How users arrived on that page)
Search terms used
How often a link is selected
How often links aren’t selected when one link is chosen
How often no links are selected on a page
Here’s Chuck We Build Pages Internet Marketing Servics
Jim Boykin We Build Pages .com [email_address] or Chuck@webuildpages.com Twitter @webuildpages please send me your feedback! We Build Pages Internet Marketing Services