6. Surprising Answer
We were surprised!
We found that different approaches could
be used to maximize links and tweets
Most surprising that pages that get good
links are commonly NOT the pages that
get tweets
7. Twitter loves questions
Twitter loves questions
Questions like; 45.00
40.00
Why? 35.00
What? 30.00
25.00
When? 20.00
AVERAGE
Question Words
If 15.00
10.00
How? 5.00
0.00
Links per post Tweets per post
Make little difference to
link generation but a
major difference to
tweets
8. Linkers like events
But linkers like events
Stories like stocks 60.00
50.00
price 40.00
changes, product 30.00
launches and 20.00
10.00
Links per post
Tweets per post
updates generate 0.00
more links but barely
any change in
tweets
9. Title length and Tweets
Post title length(!)
By a slight margin Under 50
the shorter the title
the more likely a
75-100
tweet will occur AVERAGE Tweets per post
Links per post
50-75
100+
0.00 10.00 20.00 30.00 40.00 50.00
10. Slashgear Links
Zuckerberg
MacBook
iOS
Verizon
Apple
Motorola
Hot Brands for
BlackBerry
Amazon
Windows Phone
Toshiba
Links
Google
Windows
T Mobile
Facebook
Dell
Intel
Galaxy Tab
AVERAGE
Microsoft
Samsung
Galaxy
Samsung Galaxy
Android
HTC
Sony
Steve Jobs
iPad
iPhone
AT&T
Nokia
Sony Ericsson
iPod
Nintendo
0.00 20.00 40.00 60.00 80.00
11. Slashgear Links & Tweets
Zuckerberg
iOS
Brands – Apple
BlackBerry
Links and Windows Phone
Tweets
Google
T Mobile
Dell
Galaxy Tab Tweets per post
Links per post
Microsoft
Galaxy
Android
Sony
iPad
AT&T
Sony Ericsson
Nintendo
0.00 20.00 40.00 60.00 80.00
12. Links : Tweets
Ratio
Zuckerberg
iOS
Apple
Brands – Links BlackBerry
Windows Phone
to Tweets - Google
Ratios
T Mobile
Dell
Galaxy Tab
Microsoft
Galaxy
Android
Sony
iPad
AT&T
Sony Ericsson
Nintendo
0.00 0.50 1.00 1.50 2.00 2.50 3.00
15. Methodology - Backlinks
Methodology - Backlinks
Use Majestic
and Linkdex
to get the
inlinks counts
for each of
the pages
(only
accessible
through
Majestic API)
16. Methodology - Math
Methodology - Math Sub Test()
PhraseDensity 1, "D"
Feed all the pages PhraseDensity 2, "F"
into an algorithm PhraseDensity 3, "H"
that’s finds the PhraseDensity 4, "J"
most commonly PhraseDensity 5, "L"
used words and PhraseDensity 6, "N"
phrases
End Sub
Use a simple Excel Sub PhraseDensity(nWds As Long, Col As Variant)
s/s to work the Dim astr() As String
averages Dim i As Long
Dim j As Long
Dim cell As Range
Dim sPair As String
17. Revising your editorial….
Was this useful?
If you have a content site, yes
Repeating this exercise with your own
content may well lead you to revise editorial
guidelines that – in the end will help you
rank higher…..