Google’s Ranking Algorithm
Gone are the days when SEOs were forced to obsess over minor or tedious details that had little bearing on ranking. Since SEO industry leader ‘Moz’ began releasing the results of their Biennial Search Engine Ranking Factors surveys, it has become easier for SEO service providers to identify the most influential factors in search results and determine where to focus their efforts.
Moz conducted a correlation study to gain insight into Google’s ranking algorithm in its most recent Biennial Search Engine Ranking Factors survey, which documented the opinions of over 150 leading SEO minds worldwide on more than 90 ranking factors.
The following are the ranking factors that should never be ignored by an SEO company in Delhi, according to aggregated data:
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Domain-Level Link Features
The first and most important consideration is the features that describe link or citation metrics for the page’s root domain or subdomain hosting. These include the number of unique linking domains, the distribution of authorities/popularity of linking domains, the raw popularity and trust of the domain, backlinks from sites in your geo-targeted area/language, domain level, and so on.
In short, links continue to have a reasonably strong relationship with ranking.
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Page-Level Link Features
A ranking page’s link or citation metrics are the second most important factor. The following features are included:
- the number of links from high-authority sites and known brands/entities
- topical relevance of linking source
- diversity of link anchor text
- number of unique linking root domains
- trust of links
- position/context of inbound links
- page popularity
- Number of links using keywords with exact-match or partial-match anchor texts, etc.
There is no solid basis for claiming that links to a specific page on your website do not affect its ranking.
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Page-Level Keyword & Content-Based Features
Regarding the ranking algorithm, the way you incorporate the targeted keywords or key phrases in specific sections of HTML code on a web page is essential. Keywords in title tags, H1 tags, Meta descriptions, alt attributes, and so on are examples of page-level keyword-based features. It is also critical to ensure that the targeted keywords and the content on that page are closely related. In page-level content-based features, you must consider the quality and relevance of the content, language modelling of the targeted keywords/phrases, and so on.
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Page-Level Keyword-Agnostic Features
This is all about the use of non-keywords/phrases on a website, as well as other non-link metrics. Content uniqueness and freshness, content length, relative CTR from SERPs for the keyword, quality of supplemental content, number of searches for the keyword with specific domain/brand/URL, overall design/UX, mobile-friendliness, page load speed, pure bounce rate, page age, dwell time and return visits, presence of structured data markup, international targeting, and others are all crucial factors to consider.
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Engagement & Traffic/Query Data
Although traffic and user engagement metrics are not a direct component of Google’s ranking algorithm, they correspond to ranking in an indirect but reliable manner, and you should never ignore them. All types of website visits, such as search visits, direct visits, total visits, and so on, increase traffic, improving rankings. More page views, lower bounce rate, longer time on site, and so on, on the other hand, indicate higher user engagement, which helps websites rank higher in Google search results.
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Domain-Level Brand Metrics
Identify all of the root domain elements that point to branding qualities and brand metrics. These typically include the brand/search domain’s volume, the existence/quality of verified business information, domain name citations across the web, brand/domain name mentions on social sites, the number of co-occurrence keywords with the brand across the web, and so on.
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Domain-Level Keyword Usage
Marketers must exercise caution when using keywords in the root domain or subdomain name. In general, the keyword can be an exact match for the root domain name, be present directly, be related to it via entity association, be present in the subdomain name itself, or be an extension for the domain. Google is adjusting the ranking ability of exact match domains (EMDs) and partial-match domains (PMDs).
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Domain-Level Keyword-Agnostic Features
Consider all non-keyword usages as well as non-link root domain elements. Consider the domain name’s length (characters), the uniqueness and freshness of site-wide content, responsiveness, aggregated CTR from SERPs, aggregated page load speed and dwell time for a domain, number of crawled error pages, domain age, TLD extension, SSL certificate, and other factors.
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Page-Level Social Metrics
Third-party metrics from various social media sources must be evaluated for each web page. Engagement with content/URL, Google+ shares and +1s, Facebook likes and shares, Pinterest pins and tweets, comments and upvotes for a specific page, and sentiment of links/citations are all directly related to ranking.
This understanding of Google’s ranking algorithm breakdown, combined with vast knowledge and rich experience in search marketing, can eliminate minor niggles and facilitate better SEO practices. So, focus on these elements to stay ahead of the competition and take your website to the next level. For more information consult with the best Digital Marketing Company in Delhi NCR.
