Conversion Optimization Strategy
Traffic on your website doesn't necessarily mean profit. So how are you going to convert your visitors into costumers? By conversion optimization. But how are you going to perform it? By a well established conversion optimization strategy. So check this out to establish a good strategy.TRY IT
Every Action Needs a Plan
The more costumers you have the more money you'll make. Or the bigger the basket size of a costumer the more profit you'll get. One can extand these examples but in the end they all mean that you need to have a better conversion rate. But before you take a step to apply conversion optimization you need to hold on a second and think of a good strategy which can lead you to that goal. Here you can find 3 steps on how to develop a perfect conversion optimization strategy.
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Monitor and Establish a Baseline
First thing one should do before any optimization actions is of course determining the KPI's and monitoring the current activity on the site. You should understand your visitors' actions today so that you can improve it tomorrow. In this sense set your metrics such as page views, bounce rate, average basket size etc. You can get the current values for these metrics using various analytics tools or user surveys. This will be your baseline to see how you are doing according to the plan and how far you improved from the starting point. This link includes some of these various analysis tools.
Come up with testable Hypotheses
After analyzing your current data you will see what is wrong, what is missing or what can be improved to achieve a better conversion. At this stage you should develop your testable hypotheses related to some recommendations, changes and solution offers that you propose based on the collected data.
Design, Implement and Run Tests
Based on your KPI metrics, baseline and the hypotheses you should now design your tests. Here begin with the simple and basic and then go into detail. Your tests should be checked couple of times mathematically and semantically by you and preferably also by other people. The tests may make use of A/B or Multivariate testings. If the results of these tests are in consistency with your hypothesis then you are good and need to keep up with it. Otherwise you either had something wrong with the tests or your hypothesis was wrong and in that case go back and make necessary changes. Here you can find the details of A/B and Multivariate testing and their differences.