We’re happy to announce the addition of 8 new metrics into GA Data Grabber! Google hasn’t updated their API, but GA Data Grabber now uses existing dimension fields to calculate new interesting metrics, which are not available via the Analytics web interface nor through other tools that use the Analytics API. The new metrics are listed below. To start testing immediately, get the latest version from http://supermetrics.com/.
- Average number of days to transaction: how many days from the first visit does it on average take for a visitor to purchase? The bigger the average is, the more days the visitors take before making the purchase. The day of the first visit is counted as zero; if the average is zero, this means all transactions are done immediately on the day the visitor first arrives on the site.
The Google Analytics web interface does provide a simple distribution for this (in the new GA interface: Conversions -> E-commerce -> Time to purchase), but it doesn’t show how this develops over time, or relative to other factors such as marketing campaigns. See for example the attached screenshot of a report showing the development of this metric by month and by traffic source – changes on the site and in campaign emails can have a significant effect on how fast visitors are converted to buyers.
- Average number of visit to transaction: same as above, but counts how many visits it on average takes for a visitor to purchase.
- # of referring domains with visits: shows how many different domains are sending traffic to your site. Great metric for assessing link-building efforts. Attached example screenshot shows how the number of domains linking to AutomateAnalytics.com has developed over the last two years.
- # of keywords with visits: displays how many different keywords are sending traffic to your site. When plotted over time, this can be used to evaluate the success of search engine optimization. Note that to exclude PPC keywords from reports with this metric, you can use the advanced segment “Non-paid Search Traffic”, or a filter string: medium==organic
- # of landing pages with entrances: measures how many different pages draw visitors to the site. Query strings (starting with “?”) and fragment identifiers (starting with “#”) are stripped from the URLs before counting how many unique landing page addresses are found.
- # of pages with pageviews: how many different pages have been visited on the site? This metric can be used to evaluate how much different content is being viewed and how this develops over time. Each unique URL that has received pageviews is counted, but query strings (starting with “?”) and fragment identifiers (starting with “#”) are automatically stripped.
- # of countries with visits: from how many countries has the site received visits? Can be used to evaluate the geographical spread of traffic.
- # of cities with visits: same as above, but counts cities.