5 Engagement Metrics That'll Help Improve Your Search Rankings
https://neilpatel.com/blog/5-engagement-metrics-thatll-help-improve-your-search-rankings/
https://neilpatel.com/blog/5-engagement-metrics-thatll-help-improve-your-search-rankings/
Neil Patel
5 Engagement Metrics That'll Help Improve Your Search Rankings
We all want to rank higher. That’s the name of the game. You want to be where active users are: search engines. If you’ve been penalized by Google, you may be confused about what to do next. You may not even know what got you in trouble in the first place.…
Definitions:
Domain-Level, Keyword-Agnostic Features: Domain name length, TLD extension, SSL certificate, etc.
Domain-Level, Link Authority Features: Based on link/citation metrics such as quantity of links, trust, domain-level PageRank, etc.
Domain-Level Keyword Usage: Exact-match keyword domains, partial-keyword matches, etc.
Domain-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.
Page-Level Social Metrics: Quantity/quality of tweeted links, Facebook shares, Google +1s, etc. to the page
Page-Level Link Metrics: PageRank, Trust metrics, quantity of linking root domains, links, anchor text distribution, quality/spamminess of linking sources, etc.
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.
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-Agnostic Features: Content length, readability, Open Graph markup, uniqueness, load speed, structured data markup, HTTPS, etc.
Domain-Level, Keyword-Agnostic Features: Domain name length, TLD extension, SSL certificate, etc.
Domain-Level, Link Authority Features: Based on link/citation metrics such as quantity of links, trust, domain-level PageRank, etc.
Domain-Level Keyword Usage: Exact-match keyword domains, partial-keyword matches, etc.
Domain-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.
Page-Level Social Metrics: Quantity/quality of tweeted links, Facebook shares, Google +1s, etc. to the page
Page-Level Link Metrics: PageRank, Trust metrics, quantity of linking root domains, links, anchor text distribution, quality/spamminess of linking sources, etc.
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.
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-Agnostic Features: Content length, readability, Open Graph markup, uniqueness, load speed, structured data markup, HTTPS, etc.
futureofsearch.png
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#seo future