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#pubco n http:// ash.nallawalla.com @ashnallawalla Lateral Keywords for Writers (When the Google Keyword Planner isn’t enough) Presented by: Ash Nallawalla SEO Strategist, Suncorp Insurance

Ash Nallawalla Presentation at Pubcon 2015

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SEO Class

Lateral Keywords for Writers(When the Google Keyword Planner isnt enough)Presented by: Ash NallawallaSEO Strategist, Suncorp Insurance

#pubconhttp://ash.nallawalla.com@ashnallawalla1

About Ash

SEO consultant, currently at Suncorp Insurance (eight brands)Moderator at Webmasterworld forumsPreviously in enterprise SEO roles, notably NAB, ANZ Bank, Ubank, Optus and Yellow Pages2

#pubconhttp://ash.nallawalla.com@ashnallawalla

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Keyword Research BASICSNo longer enough

#pubconhttp://ash.nallawalla.com@ashnallawallaEverybodys doing itMost of us use the Google Keyword Planner to get a feel for the most searched terms.Our competitors do that too.

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#pubconhttp://ash.nallawalla.com@ashnallawallaSearch volume alone isnt enoughBut we need a starting point.

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#pubconhttp://ash.nallawalla.com@ashnallawallaGive researched keywords to writersA keyword matrix ensures a good spread of keywords across the site and saves the writer from guessing keywords.

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#pubconhttp://ash.nallawalla.com@ashnallawallaSearch intent is importantIntent can be Navigational, Informational, Commercial, Transactional.Yes, check out some tools.7

#pubconhttp://ash.nallawalla.com@ashnallawallaCHECK OUT THE COMPETITIONSo who is winning in your niche?

#pubconhttp://ash.nallawalla.com@ashnallawallaStart with a ranking checkUse your preferred rank-checking tool to see who is ranking for each keyword.We want to check which companys content is consistently coming up on Page 1 for a number of similar keywords.

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#pubconhttp://ash.nallawalla.com@ashnallawallaCount ranking keywordsFirst get the count of keywords that rank.

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#pubconhttp://ash.nallawalla.com@ashnallawallaDerive the mean positionGet the average position for each company.

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#pubconhttp://ash.nallawalla.com@ashnallawallaInvert the mean positionInverting means deducting the rank from 10, so that a higher number denotes a higher rank.

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#pubconhttp://ash.nallawalla.com@ashnallawallaDerive a scoreScore (say Allianz) = (C3*C5)+(D3*D5)Score = (6.1x21)+(4.0x3) = 14113

#pubconhttp://ash.nallawalla.com@ashnallawallaRanking spreadsheetVisibility is important, but what is your way to measure it?Which competitor is more visible?

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#pubconhttp://ash.nallawalla.com@ashnallawallaThe content writers dilemmaThe spreadsheet shows the winners, not the losers. We can see who is using the most searched phrases.Others are using the same tools.So what content are they using that you are not using?(Note: Ranking involves many other factors and this is also about Selling!)15

#pubconhttp://ash.nallawalla.com@ashnallawallaDeep Dive TERM FREQUENCYLooking for that lightbulb moment?

#pubconhttp://ash.nallawalla.com@ashnallawallaHat Tip to Eric EngeSee his articles in Moz:Just Google Eric Enge TF-IDF for the URLs.(click the image below if you have the PPT)

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#pubconhttp://ash.nallawalla.com@ashnallawallaInverse Document Frequency18

#pubconhttp://ash.nallawalla.com@ashnallawallaTF-IDF exampleSay, a document with 100 words contains the term cat 3 times.The TF is 3/100 x 0.5 + 0.5 = 0.515Google has, say, 30 trillion pages and the word cat appears in 1.7 billion pages.The IDF is log(30,000,000,000,000 /1,700,000,000)or log(730,2.718281828) = 6.593044535The TF-IDF (or TF*IDF) weight is the product of:0.515 x 6.593044535 = 3.395417935

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#pubconhttp://ash.nallawalla.com@ashnallawallaTerm Frequency Two ways to measure20

#pubconhttp://ash.nallawalla.com@ashnallawallaGetting back to Term Frequency21

Search for your keyword.Visit the page/s of the highest ranking company and the next four top rankers.Note their URLs.Note the URL of your own page.Do a Term Frequency analysis and, perhapsInverse Document Frequency analysis (TF-IDF).

#pubconhttp://ash.nallawalla.com@ashnallawallaGet n-gramsUse one of the old keyword density tools to get 1-word, 2-word, and 3-word pairs from your site and the five competitors.Collate, de-dupe n-grams and place in Erics spreadsheet.22

#pubconhttp://ash.nallawalla.com@ashnallawalla

TF one worksheet per keywordSix sets of n-grams on the left and de-duped list in grey zone.23Erics spreadsheet

#pubconhttp://ash.nallawalla.com@ashnallawallaTF close-upGet a count of each word or phrase used by the top five pages and by yours24

#pubconhttp://ash.nallawalla.com@ashnallawallaTF close-up25

#pubconhttp://ash.nallawalla.com@ashnallawallaTF close-upUse conditional formatting to pick a range of TF values and compare your TF column with the average TF of the competitors.You will now see significant words to consider.

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#pubconhttp://ash.nallawalla.com@ashnallawallaThe extracted wordsThe pages I was analysing did not contain some obvious words this is the beauty of this technique.27

#pubconhttp://ash.nallawalla.com@ashnallawallaThe future?Working on a web versionTakes minutes, not hours.28

SlidersGemsBeta: http://www.lateralkeywords.com

#pubconhttp://ash.nallawalla.com@ashnallawallaSummaryKeyword research requires more than the Google tool. Do lateral keyword research.Do consider Term Frequency at least. Also look into Inverse Document Frequency.Download full PPT from:http://www.trainsem.com/pubcon 29Ash NallawallaTwitter: @ashnallawallaEmail: [email protected]: http://ash.nallawalla.com

#pubconhttp://ash.nallawalla.com@ashnallawalla