Customers are curious, demanding and impatient. Negative experiences with a brand’s website cause individuals to question future engagement. Read our 4-step process for what to do about it.
We start by creating segments so that we can see where the traffic is focused
We can now prioritise tests and changes against established metrics
Tools such as A/B and Multivariate tests are used to measure effectiveness
Increase in e-commerce revenue after 12 months of running the programme
Increase in conversion rate at point of purchase
Incremental revenue over same period
The first step aggregates the large pool of data available into buckets. BY creating these segments we can reveal the relationship between the data points clearly. Common categories are:
This identifies areas of opportunity and tells us where to focus our efforts.
Once we understand the relationship between categories and conversion we can then set benchmarks and targets. Benchmark examples include:
With the first two stages defined prioritisation no longer needs to be guess work. Once design commences it is best practise for the designer and analyst to work collaboratively and challenge each other’s ideas:
We recommend the use of A/B testing or multivariate tools to allow us to conclude with more certainty what the uplift is due to. We use a combination of technologies throughout the process that include Adobe & Google Analytics to review this data, Clicktale & Google Optimize to inform it and typically Google Data to visualise it.
With Jarmany on your team you are closer than ever to improving your performance with UX Analytics.
Start your conversation by calling us on +44 (0)203 051 4960 or email email@example.com.