![]() ![]() ![]() ![]() We believe matching user intent is of utmost importance. This could likely be because Google is smarter about what pages mean (through related keyword, synonyms, close variants and entities) without relying on exact keyword phrases. We continue to see lower correlations between on-page keyword use and rankings. These features describe use of the keyword term/phrase in particular parts of the HTML code on the page (title element, H1s, alt attributes, etc.) as well as semantic relevance and language modeling of the given keywords. That said, we can learn a lot from correlation studies!Īll correlations rated on a scale from -1.00 (no direct influence) to 1.00 (strong influence). Remember: Correlation is not causation! Just because websites/pages with a given feature tend to rank higher doesn’t necessarily mean that this particular feature is the cause of that higher ranking. The numbers shown are mean Spearman’s correlation with higher rankings, meaning that a higher number indicates that websites/pages with the given feature tended to rank higher on average than those without. Here, we present Moz’s analysis of 17,600 keyword search results from (US). These features describe link metrics to the individual ranking page (such as number of links, PageRank, etc.) ValuesUniqueness of the content on the pagePage is mobile friendly (for mobile rankings)Relative CTR from Google SERPs to the pagefor the keywordPage Load SpeedQuantity of searches for this keyword + specificbrand name, URL, or domain namePure bounce rate of the pageOverall design and/or user experienceDwell time or long click metricsFreshness of the content on the pageReturn visits to this page after initial query/clickLength of content on the pageThe age of the pageAverage browse rate after a click on this page inthe SERPsQuality of supplemental content on pagePage contains or other structureddataReading level of the content on the pageUse of images on the pageUse of rich media (video, slides, etc.)Page supports HTTPS / SSLAuthor authority of pagePage is mobile-friendly (for desktop rankings)Page contains Open Graph data and/or Twittercards0123456789 Page-Level Link-Based Features Rated on a scale from 1 (no direct influence) to 10 (strong influence). These features describe use of the keyword term/phrase in particular parts of the HTML code on the page (title element, H1s, alt attributes, etc). Page-Level, Keyword-Agnostic Features: Content length, readability, Open Graph markup, uniqueness, load speed, structured data markup, HTTPS, etc. User Usage & Traffic/Query: Data SERP engagement metrics, clickstream data, Visitor traffic/usage signals, quantity/diversity/CTR of queries, both on the domain and page level Page-Level Keyword & Content-Based Metrics: Content relevance scoring, on-page optimization of keyword usage, topic-modeling algorithm scores on content, content quantity/quality/relevance, etc. Page-Level Link Metrics: PageRank, Trust metrics, quantity of linking root domains, links, anchor text distribution, quality/spamminess of linking sources, etc. ![]() Page-Level Social Metrics: Quantity/quality of tweeted links, Facebook shares, Google +1s, etc. ValuesDomain-Level, Link Authority FeaturesPage-Level Link MetricsPage-Level Keyword & Content-Based MetricsPage-Level, Keyword-Agnostic FeaturesUser Usage & Traffic/Query DataDomain Level Brand MetricsDomain Level Keyword UsageDomain-Level, Keyword-Agnostic FeaturesPage-Level Social Metrics0123456789 Definitions:ĭomain-Level, Keyword-Agnostic Features: Domain name length, TLD extension, SSL certificate, etc.ĭomain-Level, Link Authority Features: Based on link/citation metrics such as quantity of links, trust, domain-level PageRank, etc.ĭomain-Level Keyword Usage: Exact-match keyword domains, partial-keyword matches, etc.ĭomain-Level Brand Metrics: Offline usage of brand/domain name, mentions of brand/domain in news/media/press, toolbar/browser data of usage about the site, entity association, etc. ![]()
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