my marketing blog. 我的網路營銷筆記。 not SEO. just 5 min quick notes for my clients and coworkers.
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Showing posts with label website optimization. Show all posts
Showing posts with label website optimization. Show all posts
Friday, July 17, 2020
Monday, February 3, 2020
Why Doctors and Medical clinic should have an optimized website. Don't solely on your medical degree and medical reputation!
Why Doctors and Medical clinic should have an optimized website. Don't solely on your medical degree and medical reputation!
(Actual conversation) Doctor friend: Why do I need a website? Why should I invest in improving my website? As long as I'm a good doctor, patients will come.
Patients don't know it until they see it visually or through word of mouth
Me: Patients don't know why you're good. They aren't in the medical field. How would they know you're a good surgeon or OBGYN? Your medical degree, research paper, or public speeches aren't residing on your website. It's on your Weibo and Facebook, but scattered everywhere.
Doctor: Well, I hired an advertising agency to places some ads, it didn't work.
Me: Where are they directing the traffic? What's your landing page? Do you have Call-To-Action CTA button above the field? Does your CTA button pop?
Doctor: What's CTA?
Me: um.....here's a quick explanation example See pic.
- Call-to-action CTA button should reside "above the fold" on landing pages for your advertising campaign
- Call-to-action CTA should visually pop out of the background color with color scheme
- There should be 2-3 CTA button on the landing page or home page
- Resource tab/page (or sometimes "Learning") page should have lots of content, such as Tutorial Youtubes, Customer Testimonials, Blogs, Podcast, Research & Report, Community Forum, Doctors public speeches, Helpful tips for beginners, Trending topics, and etc.
- The Resource page should contain all the creative assets to enable your sales team to answer customers' doubt, concerns and questions. This enables your sales team to sale and convert your potential customers.
Thursday, August 15, 2019
AB testing or MultiVariant testing at a photo shoot
AB testing or MultiVariant testing at a photo shoot
I love how Zack Scriven is AB testing (sort of) his image! This is how photo shoots should be done now! Here’s what I suggest for Multivariant testing because this is not exactly AB testing or aka Split testing
Multivariant Testing: You should have 4 pictures to choose.
1= A (baseline); 2= A but with sunglasses; 3 = A but with that 🧢 in B; 4 = B
AB testing:
1 = A baseline; 2 = A with sunglasses 🕶
I just explained this in details here 👉 The Difference Between a Multivariate Test and an A/B Test? Which should you use?
Side note: in all my testing, “eye contact” tend to have more conversions, time spend on site, and click thru rate. I like A but do tell me your results!
Side side note: I actually told my gfs they should do this for their dating app profile. They were like “tell us more about AB testing/multi *what what* testing?!”
Most of the times, it doesn’t turn out the way I expected. That’s why I love #marketinganalytics #webanalytics!
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.
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