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Google Analytics provides many great features for your website visitor, source, and conversion tracking. And there’s even more you can do when you take full advantage of all your data Google Analytics collects.
Ask and answer deeper questions: How well does the respondent audience in your web visits correspond to your target audience? What traffic sources yield the most valuable customers (not just one-time conversions)? How can you enable colleagues who are not web analytics gurus to more fully use and benefit from your website data? What new insights to gain and retain customers can you learn by blending your Google Analytics data with Salesforce.com data or other sources?
And how can you do all this quickly, without a lot of manual work? Read this whitepaper to learn five tips to get more from your Google Analytics data.
We've also pulled out the first several pages of the whitepaper for you to read. Download the PDF on the right to read the rest.
Many organizations use cohort analysis to understand a class of website visitors, often segmented by a specific action over a defined time period. Cohort analysis can include cross-platform data from the web, mobile web, and offline. For example, when a customer makes the first purchase in a desktop browser and follow-up purchases in a mobile browser and in-store, what is that customer’s lifetime value to date?
If you’re not already using cohort analysis, a blog post by Google Analytics advocate Justin Cutroni offers suggestions to get started. Begin by inserting activity conversion dates. Then use custom variables or events to create cohorts.
For experienced cohort-analysis pros, you may want ways to simplify the process. In a Google Analytics blog series, E-Nor President Feras Alhlou and Analytics Solutions Architect Shiraz Asif shows how to automate cross-platform cohort analysis. This can save you time and reduce the manual work of integrating online and offline data. And you can visualize the cohorts as custom variable keys across a date range.
Peaks and valleys are interesting, but sometimes what you really want to know are the trends in the overall volume for your website, pages, or groups of pages. If you export to Excel, you can select a line chart in Chart Tools and then follow the Microsoft Office help guide for trend lines. Just grab your favorite caffeinated beverage first, because for something that should be easy, the interface and steps are less than intuitive. Or, if using Tableau Software, simply bring in your data via Tableau’s direct connector to Google Analytics, right click on your chart, and select trend lines.
With GA flow visualization reports, you can see how your visitors navigate through content. Flow visualization maps the starting page and subsequent pages. Nodes represent points through which traffic flows. A node can be a single page, a directory, an event, or a dimension. With the Visits Flow report, you can see how visitors follow a storyline, such as going from a campaign page to a video and then to a purchase page. Click on any of the nodes and select to see traffic from or to that node.
Unfortunately, what you can’t do in the flow visualization reports is filter to see how multiple variables affect previous and next pages. For example, are previous-tonext-page trends different by geography? What about time periods or days of the week? What if you wanted to add even more variables such as customer segments?
To filter previous-to-next-page data by multiple variables, you’ll want to export your data from Google Analytics. You may already be exporting from GA to Excel or column-separated value (.csv) files. Or to save time and reduce that manual work, give Tableau’s direct connector to Google Analytics a try.
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