Posts tagged with 'Google Analytics'
For most publishers and businesses operating online, analytics has become an indispensible tool for understanding the audiences that keep the bills paid.
But in some instances, analytics is limited in that it generally provides a better view of the audience as it existed in the past (yesterday, a week ago, a month ago, etc.). For Google Analytics users, however, that is changing.
Google still has its free analytics product, but now it has announced a paid-for version of Google Analytics, called Premium, which will be a $150,000 per year product.
In one brief announcement today from Google a very bold approach is being embarked upon. That is, going from a single free-to-all product, to one that is now split into two offerings: Google Analytics Standard (free) or Premium ($150,000 per year).
That's a big change for Google Analytics, so what's the difference?
Following on from my post about how to track on page website leads in Google Analytics, this post is here to show you how to tie in any leads via the phone with the callers' activity on your website.
With many businesses that do not have an online shop, the phone is often the biggest source of business but also one of the hardest to track.
Imagine seeing which users called you and finding out which keywords and traffic sources they used to get to your site.
By the end of this post you will know how to get this invaluable data too.
Everyone involved in a business with an online presence wants to know how much return they are getting from their efforts, however large or small. Unfortunately, not everybody has methods in place to accurately track and attribute their return.
This is the first in a series of posts that will take you through the best ways to track a variety of leads that you may be targeting.
In this post I'll show you how to track on-page leads. The other part(s) will cover leads that involve off page activity, including social interactions and phone call leads, all within Google Analytics.
Understanding purchase latency, the number of days between purchase events, is essential to any customer retention strategy.
If you know how typical customers behave you can identify those who are likely to defect when they don't purchase again within the average latency period, using so-called trip wire events.
If you can re-engage customers before they defect, you'll retain them longer and your revenues will rise.
As a web analyst, I have been playing around with Google Analytics for many years now and have increasingly enjoyed watching and waiting for new features that a)add better ability to gain insight about a web business and b) make my life easier!
Features such as custom variables and event tracking have been an absolute gift in terms of being able to understand who visits my clients’ websites, which features are interacted with and what value this delivers my clients.
Frustratingly of course, there are areas where things could just be a little bit better and that’s where (in all honesty) we get to have some fun by re-working the way Google Analytics delivers data by creating hacks and being creative with filters.
According to a recent Econsultancy report, the proportion of companies exclusively using Google Analytics for their analytics needs has risen to 44%, compared to 38% last year and 23% in 2009.
Our Online Measurement and Strategy Report 2011, produced in association with Lynchpin, looks at the extent to which companies are using Google Analytics, paid for analytics tools, and which tools they are using for which reporting requirements.
Below, we include some charts from the report and also some opinions on whether Google Analytics can meet all your needs.
Not since Google plumped for pay-per-click sponsored listings in 2000 has ‘The Big G’ made a decision as strategically significant as its recent commitment to path-to-conversion reporting in the guise of ‘Multi-Channel Funnels'.
In my experience, the day of the week and hour of the day at which marketing emails are sent is often based on little more than the gut feeling of the email marketer and the performance of previous emails, rather than real data.
As someone who could put the anal in analytics, I think that's a rather inexact science. Surely there's a more accurate way to figure out whether the assumption is really true?
Some call it multi-touch attribution, others call it engagement mapping. Google calls it Multi-Channel Funnels and it has to be one of the biggest talking points in online marketing measurement circles today.
Whatever you want to call it, it is now live in limited pilot for some lucky Google Analytics customers.