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It’s been a while - you’ve probably been wondering what we’ve been up to the past few months. The answer is: a lot!
We are super excited to announce the release of 2.21 - this is our most feature-packed release in a while, which is why it took us a little longer to get out to you 😉 Just in time for the holidays, right?!
2.21 brings a total of 11 new features to the table, including some major new functionality to the query model. My persona favorites: Order By, First/Last Aggregators, and Embeddable Charts.
Did you ever want to order results by something other than Count Events? So did we! Order By is an extremely powerful feature that allows you to control how results are ordered in the Explorer. Old behavior can still be accessed - for any query, you can choose to order by either Count Events or the Measure of interest.
Introducing First/Last Aggregators - This is the first time we have ever added new aggregation functions to Interana since the launch of our product! These will join the family of standard measures that already exist, like Count Events, Count Unique, Sum, Average, etc. These new aggregators return the first or last value of a column (i.e. the value with the min or max timestamp value). Great for attribution use cases - now you can answer: “What is the first referrer that users came in from?”.
We also added an Embeddable Charts option that lets you use HTML to embed a dashboard chart in a web page or other tool that supports HTML. Ooooooo. Ahhhhhh.
For a full list of new features, resolved issues, and known issues, visit our 2.21 Release Notes page. As always, if you have any questions, send them to firstname.lastname@example.org.
Funnels are really useful and the default visualization is really cool! But have you taken a long at those funnel metrics that get generated with each funnel? They could be really useful too! In this blog, I'll run through an explanation of per-funnel metrics and what they mean!
As part of the Support Engineering team, I often see questions from customers on the subtleties between filtering within a metric and filtering in explorer. In this blog, I'll go through a quick simple example showing the fundamental difference between the two.
Most websites and many applications have traffic from both logged-in and logged-out or unknown users. While it is clearly important to learn about how your logged-in users interact with your application, there are often also extremely vital flows associated with users before they create an account. Questions like:
Are people that use certain browsers getting stuck on a step in the signup funnel?
How many pages do people read before signing up?
Did my UI change improve signup conversion rates?
Do Google AdWords clicks or certain campaigns lead to a higher retention after 30 days?
…might hold the key to unlocking hidden growth opportunities! Let’s get started.