This report examines the SEO tactics used by those businesses ranking for 'Giant Dogs'.
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This report examines the SEO tactics used by those businesses ranking for 'Giant Dogs'. Giant Dogs |
SEO Road Map - Friday December 30, 2022Giant Dogs #14 trupanion.com
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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.Giant Dogs 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.big 3, dogs 3, giant 3, dog 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.pets 3, black russian terrier 3, cart 3, america 3, mountain 3, rottweiler 3, giant 3, great pyrenees 3, swiss 3, irish wolfhound 3, puppy 3, dog 3, greater swiss mountain dog 3, saint bernard 3, great dane 3, email 3, komondor 3, tibetan mastiff 3, health 3, menu 3, food 3, bullmastiff 3, akc 3, information 3, kuvasz 3, bernese mountain dog 3, dog breeds 3, uk 3, dogs 3, html 3, dog breed 3, akita 3, bernese 3, boerboel 3, mastiff 3, bloodhound 3, breeds 3, car 3, anatolian shepherd 3, breed 3, newfoundland 3, leonberger 3 Triple Word LSILSI are simply other words that come up naturally when people talk about your target keyword.Double Word LSIis very 3, span class 3, great dane 3, div class 3, nav class 3, large breed 3, ul class 3, i class 3, doctype html 3, li class 3, input type 3Single Word LSIparent 3, fit 3, these 3, path 3, bar 3, giant 3, because 3, require 3, cdn 3, easy 3, size 3, puppy 3, left 3, breadcrumbs 3, much 3, strong 3, icon 3, how 3, see 3, search 3, close 3, set 3, contain 3, right 3, food 3, information 3, wrap 3, good 3, div 3, contact 3, rel 3, club 3, info 3, req 3, ada 3, which 3, add 3, image 3, test 3, its 3, list 3, uld 3, sha 3, port 3, http 3, some 3, blank 3, back 3, medium 3, title 3, content 3, breeds 3, desktop 3, load 3, end 3, class 3, over 3, custom 3, mobile 3, label 3, breed 3, home 3, form 3, service 3, age 3, very 3, career 3, copyright 3, action 3, text 3, https 3, per 3, pet 3, nav 3, fro 3, large 3, aria 3, index 3, script 3, field 3, dog 3, other 3, file 3, top 3, too 3, rights 3, table 3, side 3, err 3, may 3, health 3, menu 3, url 3, doctype 3, col 3, auto 3, use 3, main 3, body 3, that 3, high 3, www 3, logo 3, links 3, net 3, border 3, new 3, including 3, read 3, spa 3, author 3, alt 3, true 3, header 3, try 3, amp 3, footer 3, cause 3, best 3, media 3, around 3, head 3, row 3, lang 3, make 3, src 3, social 3, control 3, about 3, instagram 3, press 3, they 3, height 3, app 3, based 3, png 3, input 3, meta 3, fact 3, two 3, pop 3, default 3, min 3, arg 3, svg 3, one 3, black 3, call 3, ask 3, open 3, ratio 3, source 3, align 3, view 3, ico 3, white 3, dogs 3, this 3, please 3, look 3, thin 3, especially 3, name 3, page 3, full 3, desc 3, shop 3, hidden 3, color 3, book 3, mass 3, show 3, description 3, privacy 3, rule 3, non 3, life 3, button 3, not 3, now 3, statement 3, dane 3, placeholder 3, org 3, center 3, bone 3, way 3, target 3, what 3, time 3, mark 3, base 3, pets 3, container 3, pup 3, none 3, type 3, when 3, cart 3, twitter 3, terms 3, href 3, images 3, item 3, var 3, work 3, scroll 3, style 3, quot 3, card 3, care 3, log 3, lazy 3, lot 3, low 3, eat 3, event 3, more 3, facebook 3, great 3, site 3, width 3, first 3, board 3, span 3, date 3, data 3, before 3, section 3, hip 3, his 3, only 3, create 3, html 3, consider 3, ver 3, like 3, bottom 3, sent 3, inner 3, most 3, youtube 3, largest 3, img 3, line 3, advice 3, link 3, cat 3, value 3, rest 3, also 3, ins 3, round 3, affiliate 3 |
| #14 trupanion.com | Avg | Max | 1 | 2 | 3 | |
| Clean Variation Density | 2.98 % | 3.61 | 4.85 | 4.85 % | 3.06 % | 2.92 % |
| Clean Exact Match Density | 0.14 % | 0.08 | 0.14 | 0.14 % | 0.10 % | 0.00 % |
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 | trupanion.com | Avg | Max | #1 | #2 | #3 | 0.20 |
| ENT009 | Entities in Title Tag | 7 | 6.33 | 8 | 5 | 6 | 8 | -0.28 |
| CP333 | Has Schema Person | 0 | 0.33 | 1 | 0 | 0 | 1 | -0.27 |
| CP451 | Number of US Phone Numbers | 2 | 42.00 | 126 | 0 | 0 | 126 | -0.25 |
| CP134a | Exact Match in Body Tag | 2 | 5.33 | 13 | 13 | 3 | 0 | -0.24 |
| CPJLD127 | Has JSON-LD ItemList | 0 | 0.67 | 1 | 0 | 1 | 1 | -0.21 |
| ENT001 | Entities in HTML Tag | 413 | 1973.67 | 3608 | 3608 | 1522 | 791 | -0.21 |
| CP159a | Exact Match in H1-H6 Tags | 0 | 0.33 | 1 | 0 | 1 | 0 | -0.19 |
| CP227 | Has Meta Keywords | 1 | 0.33 | 1 | 0 | 0 | 1 | -0.19 |
| CP438 | Number of Meta Keywords | 1 | 3.00 | 7 | 1 | 1 | 7 | -0.19 |
| CPJLD034 | Has JSON-LD BlogPosting | 0 | 0.33 | 1 | 0 | 1 | 0 | -0.17 |
| CPJLD172 | Has JSON-LD News Article | 0 | 0.33 | 1 | 0 | 0 | 1 | -0.17 |
| CP150a2 | Exact Match in H2 Tags | 0 | 0.33 | 1 | 0 | 1 | 0 | -0.16 |
| CP483a | Exact Match in the Title Tag | 1 | 0.33 | 1 | 1 | 0 | 0 | -0.16 |
| CPJLD264 | Has JSON-LD VideoObject | 0 | 0.33 | 1 | 0 | 1 | 0 | -0.14 |
| CPJLD251 | Has JSON-LD Thing | 0 | 0.33 | 1 | 0 | 0 | 1 | -0.14 |
| CP443 | Number of Rel Author Links | 0 | 0.67 | 1 | 1 | 0 | 1 | -0.14 |
| CPJLD122 | Has JSON-LD ImageObject | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.11 |
| CP203 | Has Apple Touch Icon | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.11 |
| ENT000a | Number of Entities Used | 37 | 74.33 | 85 | 85 | 77 | 61 | -0.11 |
| CP470a | Exact Match in the HTML Tag | 2 | 5.33 | 13 | 13 | 3 | 0 | -0.10 |
| CPXX888 | Number of HTML Tags | 649 | 1376.67 | 1674 | 1674 | 1330 | 1126 | -0.09 |
| CP345 | Has Terms of Service | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.09 |
| CP233 | Has Meta Twitter Site | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.08 |
| CP425 | Number of HTTPS Links | 102 | 268.67 | 391 | 391 | 230 | 185 | -0.08 |
| CP228 | Has Meta Robots | 1 | 0.67 | 1 | 0 | 1 | 1 | -0.07 |
| CP380 | Meta Description Length | 112 | 133.33 | 151 | 151 | 140 | 109 | -0.06 |
| CP435 | Number of Links | 104 | 274.00 | 398 | 398 | 231 | 193 | -0.06 |
| CP213 | Has FavIcon | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.06 |
| CPJLD198 | Has JSON-LD Person | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.06 |
| CP347 | Has US Phone Number | 1 | 0.33 | 1 | 0 | 0 | 1 | -0.06 |
| ENT008 | Entities in Meta Description Tag | 4 | 6.00 | 12 | 5 | 12 | 1 | -0.05 |
| CP480 | Title Length | 71 | 48.00 | 54 | 41 | 49 | 54 | -0.05 |
| CPJLD189 | Has JSON-LD Organization | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.05 |
| CPJLD265 | Has JSON-LD WebPage | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.04 |
| ENT002 | Entities in H1 Tags | 3 | 4.00 | 6 | 3 | 6 | 3 | -0.03 |
| ENT004 | Entities in H3 Tags | 1 | 14.00 | 31 | 31 | 11 | 0 | -0.03 |
| CP469a | Exact Match in Sentences | 1 | 1.00 | 3 | 3 | 0 | 0 | -0.02 |
| ENT018 | Entities in Sentences | 123 | 420.33 | 739 | 739 | 390 | 132 | -0.01 |
| CP481b | Word Count in Meta Description Tag | 22 | 22.67 | 29 | 29 | 23 | 16 | -0.00 |