This report examines the SEO tactics used by those businesses ranking for 'Terriers'.
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This report examines the SEO tactics used by those businesses ranking for 'Terriers'. Terriers |
SEO Road Map - Sunday January 01, 2023Terriers #52 www.temora.net
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About the ReportThe Road Map lists the factors in descending order where the factors at the top have the strongest correlation with rank position in Google and they get incrementally weaker as you go down the list. We recommend that you fix 5-10 deficits at a time then wait 2-12 days to see if there is impact. You can always do more passes later. We want to avoid triggering a "Google Dance" where your page drops out of search for a week or more while Google reprocesses everything. We find that making too many changes at once triggers this. If you do trigger a Google Dance then 9 times out of 10 the correct action to take is to stop and wait. Work on different pages in that case. A Google Dance often results in the same position or better.Exact MatchThis is the search used to create this report.Terriers VariationsVariations are the words that Google makes bold in desktop search results. Google bolds them to show you how relevant the results are. We measure them because they help make your page relevant for the target keyword.terriers 3, terrier 3 LeadingThis means the tag content begins with the keyword match.<tag>KEYWORD ...</tag> Making Whole TagsThis means the only content in the tag is the keyword match.<tag>KEYWORD</tag> EntitiesEntities are nouns that Google's AI likely understands. They are found in public databases like Freebase, Wikidata, and Wikipedia. Groups of entities form topics which helps classify documents.norwich terrier 3, pets 3, black russian terrier 3, sealyham terrier 3, bull terrier 3, english 3, french 3, pet 3, australian terrier 3, fox terrier 3, rat terrier 3, glen of imaal terrier 3, airedale terrier 3, border terrier 3, dog 3, love 3, boston 3, glen of imaal 3, welsh terrier 3, norfolk terrier 3, skye terrier 3, american staffordshire terrier 3, health 3, menu 3, food 3, miniature bull terrier 3, akc 3, information 3, smooth fox terrier 3, manchester terrier 3, dog breeds 3, terriers 3, wire fox terrier 3, dogs 3, dog breed 3, scottish terrier 3, staffordshire bull terrier 3, dandie dinmont terrier 3, bred 3, miniature schnauzer 3, breeds 3, kerry blue terrier 3, portuguese 3, lakeland terrier 3, cairn terrier 3, spanish 3, dog show 3, irish terrier 3, italian 3, west highland white terrier 3, terrier 3, american hairless terrier 3, breed 3, cesky terrier 3, bedlington terrier 3, sport 3 Triple Word LSILSI are simply other words that come up naturally when people talk about your target keyword.Double Word LSIto find 3, li class 3, span class 3, div class 3, ul class 3, doctype html 3Single Word LSIvic 3, ted 3, persona 3, version 3, left 3, hang 3, role 3, policy 3, abb 3, blood 3, information 3, wrap 3, acc 3, thu 3, ace 3, red 3, act 3, post 3, rel 3, tim 3, req 3, add 3, ade 3, its 3, check 3, list 3, http 3, medium 3, root 3, end 3, mobile 3, label 3, special 3, service 3, family 3, age 3, copyright 3, american 3, number 3, per 3, order 3, nav 3, aria 3, script 3, ever 3, even 3, air 3, tom 3, top 3, too 3, share 3, product 3, err 3, col 3, con 3, cop 3, body 3, terriers 3, links 3, net 3, ali 3, border 3, new 3, read 3, alt 3, less 3, aly 3, ethe 3, amp 3, footer 3, media 3, rect 3, working 3, row 3, lang 3, ring 3, led 3, let 3, app 3, png 3, input 3, two 3, pop 3, found 3, art 3, black 3, lib 3, lie 3, had 3, source 3, view 3, white 3, late 3, dogs 3, pre 3, last 3, eric 3, camp 3, name 3, page 3, hidden 3, submit 3, book 3, show 3, description 3, button 3, not 3, nov 3, now 3, yes 3, target 3, short 3, play 3, when 3, put 3, fan 3, far 3, enter 3, tran 3, item 3, images 3, gene 3, style 3, log 3, irish 3, direct 3, web 3, low 3, wed 3, prod 3, more 3, display 3, great 3, width 3, small 3, hid 3, bout 3, fea 3, section 3, simple 3, hit 3, shows 3, his 3, ffe 3, format 3, inner 3, most 3, option 3, point 3, jpg 3, dde 3, clear 3, terrier 3, earn 3, user 3, ded 3, bac 3, fit 3, folk 3, icon 3, sec 3, uid 3, how 3, see 3, search 3, national 3, term 3, set 3, contain 3, right 3, food 3, die 3, dig 3, ford 3, down 3, div 3, contact 3, info 3, which 3, image 3, count 3, little 3, back 3, title 3, content 3, fox 3, miss 3, ding 3, load 3, class 3, over 3, form 3, select 3, https 3, text 3, fri 3, large 3, index 3, field 3, doc 3, dog 3, don 3, dom 3, mag 3, file 3, man 3, mar 3, may 3, menu 3, url 3, doctype 3, hide 3, able 3, urs 3, inks 3, auto 3, use 3, high 3, find 3, www 3, logo 3, different 3, selected 3, utc 3, level 3, spa 3, noscript 3, true 3, retrieve 3, header 3, best 3, bow 3, head 3, men 3, src 3, about 3, height 3, old 3, them 3, long 3, into 3, current 3, min 3, ian 3, mix 3, star 3, svg 3, one 3, many 3, face 3, symbol 3, ice 3, ico 3, ida 3, campaign 3, support 3, kid 3, privacy 3, kin 3, placeholder 3, org 3, bass 3, mark 3, base 3, none 3, type 3, mon 3, terms 3, href 3, cons 3, var 3, work 3, love 3, thumb 3, tools 3, ger 3, copy 3, place 3, event 3, eba 3, sell 3, help 3, site 3, span 3, date 3, data 3, own 3, assets 3, tab 3, html 3, tag 3, eda 3, vet 3, like 3, person 3, img 3, line 3, link 3, hair 3, public 3, value 3, efe 3, round 3, york 3, category 3 |
| #52 www.temora.net | Avg | Max | 1 | 2 | 3 | |
| Clean Variation Density | 0.00 % | 6.37 | 9.62 | 4.24 % | 5.25 % | 9.62 % |
| Clean Exact Match Density | 0.00 % | 0.82 | 2.11 | 0.19 % | 0.15 % | 2.11 % |
Clean Variation Density: Keyword density is the ratio of keywords to word count. In a clean density the following parts of the page are excluded: head tag, comments, scripts, styles, and HTML tags. All variations are used to calculate the match count.
Clean Exact Match Density: Keyword density is the ratio of keywords to word count. In a clean density the following parts of the page are excluded: head tag, comments, scripts, styles, and HTML tags. Only the Exact Match is used to calculate the match count.
| Factor ID | Factor Name | temora.net | Avg | Max | #1 | #2 | #3 | 0.20 |
| CP126 | Exact Match making whole A Tags | 0 | 1.33 | 4 | 0 | 0 | 4 | -0.25 |
| CPJLD189 | Has JSON-LD Organization | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.23 |
| ENT000a | Number of Entities Used | 17 | 83.00 | 86 | 86 | 83 | 80 | -0.23 |
| ENT004 | Entities in H3 Tags | 0 | 14.67 | 40 | 40 | 0 | 4 | -0.23 |
| CP470a | Exact Match in the HTML Tag | 5 | 24.67 | 57 | 15 | 2 | 57 | -0.22 |
| CPXX888 | Number of HTML Tags | 414 | 1830.00 | 2647 | 2647 | 1516 | 1327 | -0.21 |
| CP435 | Number of Links | 37 | 357.33 | 451 | 423 | 198 | 451 | -0.21 |
| CP425 | Number of HTTPS Links | 37 | 353.00 | 446 | 417 | 196 | 446 | -0.20 |
| CP168 | Leading Variations in H3 Tags | 0 | 20.33 | 50 | 50 | 1 | 10 | -0.18 |
| ENT012 | Has Entities in H1 Tags | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.18 |
| CPXR002 | Number of HTML Comments | 6 | 2.33 | 5 | 2 | 0 | 5 | -0.17 |
| ENT014 | Has Entities in H3 Tags | 0 | 0.67 | 1 | 1 | 0 | 1 | -0.14 |
| ENT009 | Entities in Title Tag | 3 | 3.67 | 5 | 4 | 5 | 2 | -0.13 |
| ENT001 | Entities in HTML Tag | 106 | 2791.67 | 5699 | 5699 | 1628 | 1048 | -0.13 |
| CP426 | Number of Images | 26 | 13.00 | 15 | 15 | 15 | 9 | -0.11 |
| ENT018 | Entities in Sentences | 25 | 458.33 | 849 | 849 | 165 | 361 | -0.10 |
| CP126a | Exact Match in A Tags | 1 | 5.00 | 15 | 0 | 0 | 15 | -0.10 |
| CP235 | Has Meta Viewport | 1 | 0.33 | 1 | 0 | 1 | 0 | -0.09 |
| CP233 | Has Meta Twitter Site | 0 | 0.33 | 1 | 1 | 0 | 0 | -0.09 |
| CP134a | Exact Match in Body Tag | 5 | 24.67 | 57 | 15 | 2 | 57 | -0.09 |
| CP234 | Has Meta Twitter Content | 1 | 0.67 | 1 | 1 | 1 | 0 | -0.08 |
| CP438 | Number of Meta Keywords | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.08 |
| CP346 | Has Trademarks | 0 | 0.33 | 1 | 0 | 1 | 0 | -0.08 |
| CP492 | Word Count | 104 | 2105.33 | 3612 | 3612 | 1345 | 1359 | -0.08 |
| CPJLD014 | Has JSON-LD Article | 0 | 0.33 | 1 | 0 | 0 | 1 | -0.08 |
| CP447 | Number of Trademarks | 0 | 0.67 | 2 | 0 | 2 | 0 | -0.08 |
| CP427 | Number of Images with Alt Text | 26 | 10.67 | 15 | 14 | 15 | 3 | -0.08 |
| CP381a | Exact Match in Meta Descriptions | 2 | 0.33 | 1 | 0 | 1 | 0 | -0.07 |
| CP231 | Has Meta Twitter Description | 1 | 0.33 | 1 | 0 | 1 | 0 | -0.06 |
| ENT005 | Entities in H4 Tags | 0 | 8.67 | 25 | 1 | 25 | 0 | -0.06 |
| ENT015 | Has Entities in H4 Tags | 0 | 0.67 | 1 | 1 | 1 | 0 | -0.06 |
| CP492b | Unabridged Word Count | 122 | 2253.33 | 3836 | 3836 | 1405 | 1519 | -0.05 |
| CP213 | Has FavIcon | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.05 |
| CP213z | Has Form | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.04 |
| ENT010 | Title Tag Has Entities | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.03 |
| ENT002 | Entities in H1 Tags | 1 | 2.33 | 4 | 2 | 4 | 1 | -0.02 |
| CP203 | Has Apple Touch Icon | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.02 |
| CP313 | Has Privacy Policy | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.02 |
| ENT013 | Has Entities in H2 Tags | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.01 |
| CP428 | Number of Images without Alt Text | 0 | 2.33 | 6 | 1 | 0 | 6 | -0.01 |
| CPJLD122 | Has JSON-LD ImageObject | 0 | 0.67 | 1 | 0 | 1 | 1 | -0.01 |
| CPJLD233 | Has JSON-LD Search Action | 0 | 0.67 | 1 | 1 | 1 | 0 | -0.00 |