long text blocks) can affect the ratio of session duration versus page views. It's wise to look at both this metric and average session duration, however, as the structure of user funnels or the amount of content (e.g. The number of pages with which a user interacts is another good proxy for user engagement. You can find this in the dropdown in the Overview section under Audience, or if you're accessing the metric through the API, use ga:pageviewsPerSession. This metric is a good high-level proxy for user engagement.Īverage pages per session is the number of pages a user views, on average, in a single session on your site. You can find this in Audience > Overview, then click on the dropdown above the first graph, or if you're accessing the metric through the API, use ga:avgSessionDuration. When you plot the data over time, you can determine how your campaigns drive traffic and how many times users engage with the site.Īverage session duration is the average amount of time that a user spends on the website in a single session. These metrics provide a quick and coarse-grain analysis of marketing efforts. If you're accessing the metrics through the API, use ga:users and ga:sessions. You can then select Sessions or Users in the dropdown directly above the primary graph: You can access user and session data in the Audience > Overview. For instance, if you have 100 users and 200 sessions, it's reasonable to infer that each user visited the site two times on average during the specified time period. The users metric provides the number of unique individuals visiting a website over a given time period, and sessions are the number of times that users are actively engaged with the site. When analyzing Google Analytics data, there are 14 metrics that all marketers should include and understand: Audience Sign up for free → Contact Sales → 14 metrics that marketers should export from Google Analytics Through the API you can query the metrics and dimensions or use a third-party ETL tool such as Stitch for integration into a data warehouse for more comprehensive analytics. These data points can also be accessed using the Google Analytics Core Reporting API with the syntax ga:identifier. Typically dashboards allow segmentation by one or more dimensions as a means to filter down sets of metrics. In most cases, it only makes sense to combine dimensions and metrics that share the same scope." For a list of valid dimension-metric pairs, use the Dimensions and Metrics Reference. Each dimension and metric has a scope: user-level, session-level, or hit-level. According to Google, "Not every metric can be combined with every dimension. Dimensions are categorical attributes, such as the city where a user is located or the browser they use, while metrics are the quantitative measurements, such as number of sessions or pages per session. Google Analytics separates data into dimensions and metrics. This typically involves defining funnels for important actions - such as purchases - to see how well the site encourages these actions over time. Conversions tracks whether customers take actions that you want them to take.What pages do they visit? How long do they stay? You can examine these metrics to understand the overall user experience and its effects on retention and engagement. Behavior explains what customers do on your website.You can compare incoming visitors from Facebook versus Instagram, determine the efficacy of your SEO efforts on organic search traffic, and see how well your email campaigns are running. In the Channels section under All Traffic, you can dig into what channels (organic traffic, social media, email, ads, etc.) deliver the most traffic. Acquisition shows you how customer get to your website.With these metrics, you can interpret the impact of your marketing efforts on various user segments. ![]()
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