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KPIs for SiteCat when you are not an ecommerce-firm.

When you come across situations where there are no options for cart products, sale options to define the KPIs, now what? You are most likely to be a publishing or a content based firm.

Quick facts

Link clicks: Number of link clicks for any custom, exit or download links can measure the user engagement.

Download, view and launch buttons: Do not forget to implement your success event for click actions on the page. Expose an eVar to count the number of clicks on the important pdfs, zips and other files.

Unique Click event: When we want to attribute exactly one credit to each event depending on the business needs. To assure that only the first instance of a Success Event will be counted in Success Event and Conversion Variable (eVar) reports.

getPercentPageViewed plug-in: Provides SiteCatalyst to capture the percentage of a page (vertically) that the user has viewed.

Bounce Rate: Defines the quality of content and the need to dig deep, improvise the content, optimizing the page.

Exit Rate: A good way to understand which page in the process is the weakest link or not interactive enough.

Read more at TechCouple

Click-Through Rates in Adobe Analytics

One of the more advanced things you can do with Adobe Analytics is to track click-through rates of elements on your web pages. Adobe Analytics doesn’t do this out of the box, but if you know how to use the tool, there are some creative ways that you can add click-through rate tracking to your implementation. In this post, I will share a few different ways to track click-throughs for both products and non-product items.

Product Click-through Rates

If you sell physical products, you may have pages that show a bunch of products and want to see how often each product is viewed, clicked and the click-through rate. In my Adobe Analytics book, I show an example of a product listing page like this:

If you worked for this company, you might want to know how often each product is shown and clicked, keeping in mind that this could be dynamic due to tests you are running or personalization tools. Luckily, this is pretty easy to do in Adobe Analytics because the Products variable allows you to capture multiple products concurrently. In this case, you would simply set a “Product Impressions” success event and then list out all of the products visible on the page via the Products variable like this:

s.events=”event20″;
s.products=”;11345,;11367,;12456,;11426,;11626,;15522,;17881,;18651″;

Then, if a visitor clicks on one of the products, on the next page, you would set a “Product Clicks” success event and capture the specific product that was clicked in the Products variable:

s.events=”event21″;
s.products=”;11345″;

Read the rest on analyticsdemystified.com

Visitor Retention Analysis using Calculated Metric Function

Before we start, lets understand the user metric definitions. New user are the acquired unique users this month. Repeat user are returned user from last six month. Retained user are the users this month which were also users last month. Resurrected user are repeat users this month that are not retained from last month but from some month prior to it.

Monthly Active Users = New users + Retained users + Resurrected users

Repeat Users = Retained users + Resurrected users

Read the complete article here Visitor Retention Analysis using Calculated Metric Function | LinkedIn