Differences between mètrics and KPIs
Metrics
A metric is nothing more than a number. It can be a total, it may be a ratio (a division between two numbers). Examples of total metrics: Total visits, page views, unique users, etc... While ratios are: conversion rate to sale, ratio of filled-out forms,etc...
KPIs
KPIs are indicators that may be metric, but not any metrics, but metrics that allow you to know if you are achieving your strategic goals and specific objectives. KPI is the abbreviation of Key Performance Indicator, in other words, key performance indicators.
For example, a strategic objective can be: increase sales and one of its associated KPIs can be: average size of the shoppingcart (measured in €).
Therefore, if you do not have clear objectives it will be impossible to establish the appropriate KPIs. Maybe you are measuring hundreds of metrics but without goals or KPIs is like not having anything.
Basic metrics you must take into account
1. Sessions: Number of times that users have visited our website in ag iven period of time. When an user accesses our site, a new sesssion starts, which will remain open and will bring together all the user´s clicks to be able to count them as a single visit.
The sesión is considered as finished when the user leaves our site, or if the user does not perform any action (click) on our site during a certain time (30 minutes by default in Google Analytics). If the same user accesses again, a new session will be started and it will be counted as a new visit.
2. Users: It represents the number of people who have visited our site in a given period of time. If the same user makes more than one visit in that period of time, is counted as one unique visit.
In order to determine if an user accesses our site multiple times,persistent cookies are used in the browser. These cookies are small pieces of information that browsers allow a site to store,and are forwarded automatically by the browser whenever the user visits the site. This system is the same one that is normally used to control the sessions mentioned above, and is not a system which can ensure 100% control of users and their visits.An user can use different browsers to access our site, you can delete the cookies from your browser, it may have disabled cookies... but normally cookies will allow to track the user correctly (at 98% cases aprox.).
3. Page views: Number of pages that have been visited by users for a period of time.
4. Time spent on site: Average time that a visitor stays on our website.
5. Time spent on one page: It is the time spent since a user accesses a page, until he or she browses to another page of our site. In the calculations of the time spent on a page, it is important to highlight the complexity that arises when calculating this time on the last page that a user visits (exit pages of the site). When a user is viewing what will be its last page (and makes no more clicks on our site), the analytical tools tend not to be able to calculate the real time that the user stays on the page and therefore is not accounted.
6. Bounces and bounce rate: Bounces are the visits to one page generated by users who do not click on any link to continue browsing our website. This metric is particularly important, because we can come to conclusions from his analysis. The visits that only generate a view page indicate (in most cases), that despite having caught a user´s attention, we have failed to retain it in anyway, nor make this visit a defined objective.
This metric must be analyzed it totaled for all our site, and individually for each one of our pages, so that we can determine which are the pages with the highest bounce rate. For pages that are generating the highest bounce rate, the next thing we could study are the sources of traffic from them. Where do these visits come from that do not find our website interesting? Visits may come from sites that we referenced, results of searches, ads sponsored... in any case, if we study where they come from we can understand why there are bounces,. Also what users are looking for when they land on our pages, so that we can improve in different ways. Blogs are an example of exception, since most of the visits are generated by users who have come only to read the last published post,or stay in the homepage by reviewing the latest ones.
7. New visitors and return visitors: these two indicators allow us to determine the percentage of visits that are made by users who have previously accessed our site, and which are of user sessions accessing for the first time. It is a good indicator to measure the audience that we have managed to retain on our site.
8. Percentage of dropouts: this indicator allows us to know the percentage of users who leave our site from a particular page. We must study this indicator, in cases we have defined a particular funnel conversion in which we put users up to our goal.
For example, in an e-commerce site, the process of adding products to the cart and browse through the different necessary steps to complete the purchase (registration to the user, your shipping address, your payment details...).
Within this sequence of pages which the user must pass through, it is especially useful to analyze the percentage of drop-outs to make improvements that help to reduce them.
In terms of free web analytical tools we can highlight GoogleAnalytics, Piwik, Open Web Analytics and Clicky.
The choice of the analytical tool must be based on your company needs and your resources (it will vary very much if you have to take care of this task by yourself or you can hire someone to do that). Anyway, free tools offer complete services, and in many cases you will not need more advanced services.
It is a free web site statistics service that offers information about how visitors use our website, how they have come to it, and what we can do to keep them visiting it. It also allows to measure sales and conversions.
Google Analytics allows you, among other things to:
-Generate powerful and easy to use reports so that we can decide what data we wish to see and customize our reports.
-Analysis of social networks: it allows us to know the way in which the visitors to our website are involved with our content on social platforms.
-Content Analytics: it shows us which parts of our website have a good performance and which pages are most popular, so that we can create a better experience.
-Advertising Analytics: it offers information about the performance of our ads on social networks, mobile phones and the searching network. It also links the activity of our website with our marketing campaigns offering a complete perspective, improving the performance of our advertising.
-Analysis of conversions: it lets us know how many clients we attract, how much we sell and how they are involved with our site.
-Mobile Analytics: it helps us to measure the impact of mobile devices. In addition, if we create an application for mobile phones, Google Analytics offers for iOS and Android software development kits so that we can evaluate how users use our application.