{"id":26440,"date":"2021-10-14T16:23:06","date_gmt":"2021-10-14T03:23:06","guid":{"rendered":"https:\/\/www.egwebdesign.co.nz\/?p=26440"},"modified":"2021-11-26T11:47:17","modified_gmt":"2021-11-25T22:47:17","slug":"conversion-rate-optimisation-for-low-traffic-sites","status":"publish","type":"post","link":"https:\/\/www.egwebdesign.co.nz\/2021\/10\/conversion-rate-optimisation-for-low-traffic-sites\/","title":{"rendered":"Conversion Rate Optimisation for low traffic sites"},"content":{"rendered":"\n

If your ecommerce store doesn’t have enough traffic for AB testing you can still use CRO to improve your sales.<\/strong><\/p>\n\n\n\n

You can’t test anything without traffic.<\/p>\n\n\n\n

While each website is different, there are some statistical rules at play. AB testing can be very complicated.The amount of traffic, amount of conversions and the uplift in conversions all matter.

The rule of thumb is approximately 500 conversions per month.
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How low is low traffic?<\/strong><\/h4>\n\n\n\n

Below is an AB test sample size calculator. As you can see, it gets complicated. But sample size tools can be helpful to find out if your site can handle AB testing.
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Basically what the result below tells us is:<\/p>\n\n\n\n

Our site has a 2% conv. rate. 1000 visitors per week. We are looking for an increase of 15% in conversions. We want the test to run for 4 weeks (the recommended time). Oh, and we want the winning variation to have an 80% chance of being actually the winning test.<\/p>\n\n\n\n

Computer says no. <\/strong>Unfortunately for the above test we’ll need 57,806 users over the 4 weeks (14,451 per week). The alternative is to run the test for 57.81 weeks at 1000 users per week. Over a year! That is out of the question.<\/p>\n\n\n\n

But if the increase in conversions we are looking to achieve is 63% we can test with 1000 users per week over 4 weeks.<\/p>\n\n\n\n

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So if we want to move the needle on a low traffic site we’ll need some big wins. You aren’t going to get big wins by AB testing button colours. Many meaningful changes will need to be made to the online store.<\/p>\n\n\n\n

So let’s start looking for those big wins….<\/strong><\/p>\n\n\n\n

Everything starts with research<\/strong><\/h4>\n\n\n\n

Optimisation is research driven. Research about your users. What they want and need from your site to buy. We can research in two ways.  Quantitative research and Qualitative research.<\/p>\n\n\n\n

Quantitative research is about the data. It tells you what pages they visited and for how long. Whether they made a purchase or not and where they left your site. All very important, but it doesn’t give you the why.<\/p>\n\n\n\n

Quantitative research includes:<\/p>\n\n\n\n