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Showing posts with label Web Analytics. Show all posts
Showing posts with label Web Analytics. Show all posts
Wednesday, November 25, 2020
Tuesday, August 27, 2019
Ask: What is web analytics vs. marketing analytics?
Ask: What is web analytics vs. marketing analytics?
In marketing, we have the concept of a purchase/sales/click funnel. There are different stages within the funnel that describe customer interactions. A basic purchase funnel includes the following steps:- Acquisition involves building awareness and acquiring user interest (Facebook Ads, Google Adwords) - Behavior is when users engage with your business (measuring activities on your website) - Conversion is when a user becomes a customer and transacts with your business (sales, download, etc) The current job market: Marketing analytics tend to focus on Acquisition + Landing page/AB Testing/ Conversion while Web analytics focus on Behavior /Missed Opportunities + Conversions.
Thursday, August 15, 2019
Ask: The Difference Between a Multivariate Test and an A/B Test? Which should you use?
Ask: The Difference Between a Multivariate Test and an A/B Test? Which should you use?
Both tests are trying to test which component you should change on your website to improve click thru rate and your funnel to your ultimate goal.
Site visitors are bucketed into one version or the other. By tracking the way visitors interact with the page they are shown — the videos they watch, the buttons they click, or whether or not they sign up for a newsletter — you can determine which version of the page is most effective.
AB testing
changes only “1” component at a time, such as font size, headline keyword, color of call to action button, etc. (but not all at the same time which most makes this mistake)
Multivariant testing
compares a higher number of variables, and reveals more information about how these variables interact with one another. As in an A/B test, traffic to a page is split between 2 versions of the design. The purpose of a multivariate test, then, is to measure the effectiveness each design combination has on the ultimate goal. So there are more combinations in your testing but will reveal how the
components perform with each other. See picture below with 1 image/2version and 1 headline/2 version testing
components perform with each other. See picture below with 1 image/2version and 1 headline/2 version testing
Should you use AB testing and Multivariant testing?
Depends on your volume of website traffic:
Multivariant testing requires a large amount of traffic to complete. Since all experiments are fully factorial, too many changing elements at once can quickly add up to a very large number of possible combinations that must be tested. Even a site with fairly high traffic might have trouble completing a test with more than 25 combinations in a feasible amount of time. But the biggest advantage is that it will test "combinations" of components which AB test does not do.
Multivariant testing requires a large amount of traffic to complete. Since all experiments are fully factorial, too many changing elements at once can quickly add up to a very large number of possible combinations that must be tested. Even a site with fairly high traffic might have trouble completing a test with more than 25 combinations in a feasible amount of time. But the biggest advantage is that it will test "combinations" of components which AB test does not do.
A/B testing is a powerful and widely used testing method. Keeping the number of tracked variables small means these tests can deliver reliable data very quickly, as they do not require a large amount of traffic to run. This is especially helpful if your site has a small number of daily visitors. Splitting traffic into more than three or four segments would make it hard to finish a test. In fact, A/B testing is so speedy and easy to interpret that some large sites use it as their primary testing method, running cycles of tests one after another rather than more complex multivariate tests.
Wednesday, July 31, 2019
What's the difference between Digital Marketing Analytics v.s. Web Analytics?
What's the difference between Digital Marketing Analytics v.s. Web Analytics?
My co-working in Branding Marketing asked me a question today when I was pulling a report for her: What is the difference between Digital Marketing analytics and Web Analytics since I'm doing both for our company.Web analytics
How is it defined? Short Answer: The goal is to analyze the Click Path or ClickStream. Long Answer: It zooms in on the elements in the "user behavior" such as how potential customers or site visitors interact with particular elements in your marketing campaign or website. Interactions can be in the form of page views, time spent on a page, or click-through rate which give you an idea on customer/visitor behavior or Click-Stream behavior.Softwares or tools used are Google Analytics ( used to be Urchin Software before Google bought them) and Adobe Analytics.
Software or tools used? Since there are lots of different social media marketing platforms emerging and offline marketing campaigns that can't be tagged/streamlined, it's often executed by Analysts like me via adhoc- reporting. I pull the data thru the platforms or API and then clean up the data in Excel or SQL (if IT dept got involved - usually startup/tech company have this covered).
Marketing analytics
How is it defined? Short Answer: The goal is to measure ROI. Long Answer: It takes on a wider perspective than web analytics. It focuses on your marketing campaigns (such as Facebook or Instagram advertisement) and activities, multichannel attribution, marketing mix modeling, distribution of marketing efforts and the like, all within the context of discovering ROI and how effective your marketing tactics and strategies are.Software or tools used? Since there are lots of different social media marketing platforms emerging and offline marketing campaigns that can't be tagged/streamlined, it's often executed by Analysts like me via adhoc- reporting. I pull the data thru the platforms or API and then clean up the data in Excel or SQL (if IT dept got involved - usually startup/tech company have this covered).
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