{"id":50228,"date":"2020-04-30T09:12:14","date_gmt":"2020-04-29T21:12:14","guid":{"rendered":"http:\/\/13.236.98.142\/?p=50228"},"modified":"2020-04-30T09:28:16","modified_gmt":"2020-04-29T21:28:16","slug":"why-google-search-console-and-analytics-never-match","status":"publish","type":"post","link":"https:\/\/pureseo.com\/nz\/blog\/why-google-search-console-and-analytics-never-match","title":{"rendered":"Why Google Search Console and Analytics Never Match"},"content":{"rendered":"

<\/p>\n\n\n

It is the age-old question, one that stretches back to the first days of Google\u2019s alterations to their search marketing<\/a><\/strong> tools. When Google Analytics and Google Search Console first crawled out of the early primordial soup that was the Internet in 2005, they had some alignments that allowed us to match up data points and make some inferences. These days, we can only look at the output from these two titanic tools, scratching our heads and asking ourselves:<\/p>\n\n\n\n

\u201cWhy on earth are these data sets different?\u201d<\/strong><\/p>\n\n\n\n

Trying to exactly match the landing page traffic from GA with the clicks from GSC is an exercise in futility. Much like Neil Patel and page two of Google\u2019s search results, they simply don\u2019t get along.<\/p>\n\n\n\n

In the interest of shedding a light on one of the most pervasive frustrations the SEO industry struggles with, this is a breakdown of the underlying differences between GA and GSC. The former measures behaviours and attributes of the users, while the latter is concerned purely with a website’s metrics.<\/p>\n\n\n\n

Trials and tribulations with either tool aside, they have fundamental differences that result in the disparities we see in the data, and today we\u2019re going to put the mystery under a spotlight.<\/p>\n\n\n\n
\n\n\n\n

The Rank Modifier Engine<\/h2>\n\n\n\n

To understand how Google serves and refines individual SERPs, let\u2019s look at this patented model<\/a><\/strong> for modifying SERP rankings from Google\u2019s very own minds.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

For a brand-new search, the pages are run through the Indexing Engine (2010) and the Scoring Engine (2020) before they hit the Ranking Engine (2030). Then, they are displayed, and the user picks their preferred result. Once they\u2019ve clicked, their click is tracked (2050) and inputted into the Session Log (2060).<\/p>\n\n\n\n

Here\u2019s where it gets interesting. The tracked click from the session log is fed into the Rank Modifier Engine (2070). <\/strong>This engine influences the rankings for similar searches across time, presenting links it finds more relevant based on click history. Theoretically, this could broadly impact the relevancy score of all websites on a SERP, changing how they do in the Scoring Engine and where they appear on everyone\u2019s SERP. This impact reverberates across all tools.<\/p>\n\n\n\n

How is this relevant to the data disparity between the two tools? It comes down to how they measure a session and a click.<\/p>\n\n\n\n
\n\n\n\n

Beneath the Surface: A Real Look at What the Tools Are Measuring<\/h2>\n\n\n\n

Google Search Console and Google Analytics approach the measuring of data from fundamentally different places. These differences often fly under the radar as insignificant when it comes to comparing the two, but they are the reason for increased baldness and frown lines in many an SEO professional.<\/p>\n\n\n\n

Google Search Console uses query logs<\/strong> to track user clicks. On the other hand, Google Analytics uses a user\u2019s clickstream<\/strong> and harvests the session data from there. Why is this important?<\/strong> Well, this means that GSC uses information from one source to identify a click, whereas GA uses a different source to interpret a session. Because their data sources are different, so too are the metrics pulled from them. This is the core of the disparity before us, and one we\u2019re going to break down further below.<\/p>\n\n\n\n
\n\n\n\n

Google Search Console: Using Query Logs to Track Data<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n

A query log<\/strong> is a text file stored in a website\u2019s backend that tracks the features of the user, their query, and the features of what they choose to click on. The data is interpreted and presented as metrics in GSC, plotted overtime to help site owners optimise what they\u2019re offering.<\/p>\n\n\n\n

Contrary to common conceptions, Google has made it clear that they don\u2019t consider clicks and the click-through rate of a site\u2019s page to be a factor in ranking. Instead, they use the information in these click logs to \u201ctune\u201d an individual searcher\u2019s signal, presenting them the ideal SERP based on their past clicks. So, that means that clicks can influence rankings on an individual scale (at least according to Google).<\/p>\n\n\n\n
\n\n\n\n

How Google Search Console Measures a Click<\/h3>\n\n\n\n

Query logging <\/strong>tracks the queries a single user makes and tries to measure if they are different enough to be called \u201cdistinct\u201d. If they\u2019re not, two searches may be tracked as just one, and if both of those searches lead to the same landing page, it can be interpreted as just one impression. A query session can last from minutes to hours, depending on how similar the queries are to each other.<\/p>\n\n\n\n

Interestingly, if a user makes a search that is unrelated to the others, GSC will track this as a separate session. So, GSC\u2019s fundamental definition of a session is inherently different from GA\u2019s. To quote the discussion from the patent we looked at earlier:<\/p>\n\n\n\n

\u201cTwo sessions associated with the same user will share the same cookie but will have different session identifiers.\u201d \u2013 Google Patent Discussion (US8359309B1)<\/em><\/p>\n\n\n\n
\n\n\n\n

Google Analytics: The Power of the Clickstream<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n

A clickstream (also called a click path or click log) <\/strong>is the virtual Jetstream left behind by a user as they jump from page to page across the internet. It tracks user information and keeps a record of their activity across the Internet. Google Analytics dips into the clickstream to harvest its information, generating metrics and data about the users that visit your website to help you target your ideal audience. In digital marketing<\/a><\/strong>, this tool is invaluable.<\/p>\n\n\n\n
\n\n\n\n

How Google Analytics Measures a Session<\/h3>\n\n\n\n

A session in Google Analytics is based on the passage of time, not the relation of queries or clicks. The limit of time before a new session is started can be adjusted by the site owner to last longer or shorter, so a session in GA is user-defined. <\/strong>That\u2019s crucial.<\/p>\n\n\n\n

By default, these sessions last for thirty minutes of inactivity before a new one is started (assuming the user comes back and continues searching). Therefore, one user can spark multiple sessions on the same website. A user could click on the same page three times (GSC) in two sessions (GA), resulting in three clicks and two sessions being recorded.<\/p>\n\n\n\n

To bring the question to a succinct answer: A Google Analytics session and a Google Search Console query session or click are not the same things. So, unfortunately, no matter how many times you try to line them up, they\u2019re not going to behave. Don\u2019t pull your hair out trying, just stick around for our recommendations on how to refine your data!<\/p>\n\n\n\n
\n\n\n\n

Review, refine, and revamp your online presence with Pure SEO.<\/h4>\n\n\n\n

We\u2019re New Zealand\u2019s top search engine optimisation company<\/a><\/strong> for small to medium-sized businesses. We offer our years of experience in the ever-changing world of the Internet, bringing your company\u2019s website, search engine marketing, and social media presence up to scratch. Get in touch with us today!<\/p>\n","protected":false},"excerpt":{"rendered":"

It is the age-old question, one that stretches back to the first days of Google\u2019s alterations to their search marketing…<\/p>\n","protected":false},"author":8,"featured_media":50241,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"ep_exclude_from_search":false,"footnotes":""},"categories":[578,2],"tags":[],"ai":[],"class_list":["post-50228","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","category-blog","entry"],"acf":[],"yoast_head":"\nWhy Google Search Console and Analytics Never Match - Pure SEO<\/title>\n<meta name=\"description\" content=\"Ever tried to run Google Search Console and Analytics data next to each other, and been frustrated when they don't match up? 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