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Local Search Ranking Factors Study 2018

May 26

Many factors influence Google's Local Search ranking factors. For example, your business location can affect your local ranking. Using consistent NAP data can increase the likelihood of relevant proximity-based results. The more accurate your NAP data is, the more likely Google is to rank your business higher in local searches. Here are other important factors to consider:

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Relevance

There are many factors that determine a local business's position in search engine results. For instance, proximity describes the distance of a business from the search origin. For example, a museum or a landmark hotel will likely appear prominently in local search results, as will a well-known store. But relevance takes precedence over distance when calculating a local business's ranking. If you have more than one location, creating location-specific pages is a good idea.

Several of these factors are on-page. One of the first things to consider is the presence of relevant keywords. These keywords should be strategically placed on the page to rank higher in certain locations. Another factor is the presence of a business' NAP. Google uses NAP to determine proximity. However, it is important to remember that you can use other factors to improve your ranking. For example, it is important to include information about the size of the business, the location of its location, and the availability of hours.

Distance

Traditionally, distance as a local search ranking factor has been based on the distance from the searcher. However, the results in the Google Local Pack are weighted to reflect the distance. This could change in the future. In this article, we'll look at what distance means to local search ranking and how it can affect the results. Let's look at what distance means for a local business. For the most part, this is not a factor to be afraid of.

Distance as a local search ranking factor is a way for Google to determine how near the searcher's location is to the business. This information is obtained by the user's browser. A closer local business is likely to appear in the map results. Other businesses nearby may appear in the search results more prominently. Prominence also plays a part in determining a business's popularity and relevancy. Google encourages businesses to complete their business listings in Google My Business. Having complete information on your business will allow Google to determine its proximity and distance.

Prominence

Google has announced that prominence is now one of its major ranking factors for local searches. Prominence is a term that is used to describe a business's overall web presence. This includes the number of reviews it receives and how positive those reviews are. It also includes offline references such as landmark hotels, articles, and directories. This metric is similar to the E-A-T ranking factor, and uses the overall reputation of a business to determine its local search ranking.

Google also pays close attention to offline reputation signals, such as brand awareness, and has added a new ranking factor called "prominence" to its local search algorithm. Prominence is determined by what search engines find about a business elsewhere on the Web, including conversations on social media, reviews, and other factors associated with traditional SEO. It also looks at the number of social bookmarks, links, and other types of links a website has on the web.

On page signals

Earlier this year, Moz released the results of its 2015 Local Search Ranking Factors study. This study documents changes in ranking factors over time. Google understands that local searchers are more likely to find local businesses than national brands. It also notes the importance of having correct NAP data. This can help businesses appear in proximity-based search results. But it's important to note that NAP data is not enough to guarantee top rankings.

This survey does not include social signals, which may have shifted voting power to other factors. The study shows that business profiles and the age of GMB listings continue to increase their importance in local search rankings, from 15% in 2015 to 36% in 2021. However, link signals, social signals, and citations all dropped in importance over the same period. It's unclear how important each factor is in local search.

Link signals

In its latest survey, Link Signals in Local Search Ranking Factors Study, Moz released the results of its overall and local rankings. Last year, Moz conducted a similar survey, which coincided with the introduction of Google's Pigeon algorithm update. In addition, Google recently switched from local seven-packs to three-packs. This change in local SEO ranking factors is one of the many underlying factors in Google's local search ranking.

The on-page signals are your business name, keywords, domain authority, and citations, which can be found from multiple sources. In addition, personalization focuses on the location and device of a searcher and their search history. Behavioral signals affect local search rankings, including click-through rate and dwell time. While links are a major factor in local search rankings, other factors impact your ranking, such as anchor text, linking domain authority, and quantity of links.

Page speed

The localization trend is evident in Google's Local Pack and traditional blue links. Google's Local Ranking Factors survey has identified various factors influencing search results and outlined a timeline for their evolution. In this study, Page Speed was ranked as the top factor that drives local rankings. This factor is also closely related to Page speed, as Google suggests that web pages load in less than three seconds with fewer than 50 requests.

To get an idea of your own page's performance, you should run a speed test from Google. The test generally takes under a minute. The results are displayed in a graph. The "first byte" number is the TTFB for your page, and the waterfall reveals the connection and request details. The page's response time is also recorded in the chart. The "respond first, process later" method is another factor associated with high Page Speed.

 

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