Why are my stats different on Woopra than on Google Analytics?

Some Woopra users see a discrepancy between their stats on Woopra and on Google Analytics. The primary reason for this discrepancy is each service’s reporting method. Woopra is committed to providing the most accurate data by showing you individual visitors and exactly how they are engaging with your site.

Time Window

Woopra shows you exactly who is on your site, what they’re doing, and when they leave. Woopra’s reporting is accurate to the second.

Google Analytics reports based on who has been active on your site within the last 5 minutes. That means if a visitor is reading something on your site, watching a video, or idle for more than 5 minutes, Google Analytics won’t report that they’re on your website. It also means that if a visitor left your site within the last 5 minutes, Google Analytics will inaccurately show that they’re still on.

Sampling

Another cause of this discrepancy is Google Analytics’ use of sampling, which means using a subset of data. Google Analytics often uses sampling for both collecting data and generating reports based on your data. That means that Google Analytics may only be collecting data on some of your visitors and/or only using a portion of that collected data when generating your reports.

Woopra never uses any kind of sampling. Since we report at the individual level, rather than simply aggregating, we always collect your full set of data. You can see the full list of current visitors in the “Live Visitors” tab and the full history of individual visitors in the “Search” tab. Woopra’s analytics reports are generated using this full set of data.

Tracking Across Multiple Devices

Lastly, some discrepancies exist between Woopra and Google Analytics as a result of the growing tendency for each person to have multiple devices (e.g. mobile, tablet, home computer, work computer etc.) from which they access the same online services.

Traditional web analytics, like Google Analytics, are unable to track a user across multiple devices, so a visitor returning to the site from another device is identified as a new visitor, rather than a returning visitor. A part of the discrepancies between Woopra and Google Analytics are often a result of Google Analytics’ inability to track customers across multiple devices.

Woopra is heavily focused on individual level tracking rather than device-based tracking. By capturing user activity across their devices, Woopra offers a rich and accurate narrative of their usage, and sees things from the customer’s vantage point. This is especially important for customer-focused organizations, such as SaaS and e-commerce, in order to track user activity accurately across multiple platforms.

For example, you might sign up for service X from your home computer, subsequently use the service’s app on your iPad, and end up upgrading your account from your work computer. You did complete the onboarding process, but traditional web analytics reports get stuck at step 1 (signup) because they can’t identify you as the same person across all those devices. They fail to recognize that you have in fact completed steps 2 and 3 of the funnel.

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