Boost your Online Testing Results for Impact: 3 Areas to Review
ByIf you are new to online testing and not sure what page or area to test on your website or just need that kick-start to get those testing adrenaline rushes back…
Here are 3 important areas to start pulling data for to get you going (or going again) on the forward path to optimization success.
1. The most visited pages on your website. Things to think about for each page – what’s the pages purpose, what’s the conversion rate, what’s the bounce rate, where are the leaks, what’s the average time spent on the page by your visitors, any coding errors hindering performance, page load time, special plug-ins needed for visitors to get full functionality.
2. Your Conversion points – Pull conversion data for each of your sites conversion points, how much revenue does each conversion point contribute, order each conversion point by revenue from producing the most to the least and look at the opportunities starting at the top of the list – a 100% increase in conversions on a page that only produces $50 won’t produce the same result as a 5% increase on a page that produces $10,000 in revenue – it’s a good place to start.
3. Your most popular visitor paths – Review data for your most popular visitor paths. Where are the leaks that visitors are exiting or straying from your desired end goal that you have designed for them? What are the opportunities to optimize and keep your visitors on the desired path? Can you shorten the path if need be, work on your call-to-actions, add a newsletter signup box, and so on.
4. Bonus – Combinations of the above, i.e the most popular visited page with a conversion point, sorted by lowest conversion percentage with theoretical greatest chance for improvement.
Of course this is not the be all end all of what to look for or what to test in each area, but merely a good refresher for those who need it, or a guiding hand for those confused with all the potential places to start testing first. But remember, it’s important to consider the opportunity costs in testing one area, page, path, etc. versus testing another.
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