The main panel that you see once you log in is the Dashboard, an information management tool that provides an at-a-glance view of how your experiments are performing, based on the sales goal.
To see the data, the first thing you must do is filter by the period of time you are interested in, using the option in the top left side:
Below you will find many visualizations, like charts and tables based on key performance indicators, metrics, and other relevant data.
The platform starts counting the views and displays them in this pie chart from the moment you install the tracking code. So this chart shows your true testing potential and lets you know how far you can go with testing (run multiple tests and use multiple features at the same time) to validate your hypothesis so you can generate a constant growth over time. The more you test, the greater are the chances to grow the conversion rate and have an impact on the long term.
A tested view means a variation or control seen by one user included in your experiments.
A user can see a variation more than one time if the experiment is set to work on multiple pages.
The revenue per visitors is calculated as the total amount of money brought by visitors who were included in the experiments and reached the page where the main goal has been implemented, divided by the number of unique users who saw the experiments. So it is calculated globally, for all the experiments you run. The pipe chart shows how much all variations tested so far have increased the revenue per visitor compared to the original website.
In this section you can see the value increase for these four KPIs: revenue per visitor, conversion rate, total revenue, and weighted revenue and is calculated for all variations vs control (the unaltered version of your website).
Revenue per visitor shows the total revenue generated by all control/variation from all experiments, divided by the total number of unique users from all experiments.
Conversion rate is the total number of conversions divided by the number of total users from all experiments, for the Sale goal.
Total revenue is the total real amount for all sales generated on control/variations in all experiments.
Weighted revenue – predicted amount for the sales generated on control/variations in all experiments, if the split between control and variations would be 50/50. The one with lower traffic would be proportionally increased to match the one with higher traffic. Useful to easily compare control vs variations when a high number of variations is present in the experiment.
Example: an experiment with control and 7 variations results in 12.5% for each, if split equally. Thus, control has 12.5% and variations have 87.5% of the traffic. In this case, let’s say the experiment had 1000 users. This means 125 users on control and 875 users on variations. The amount generated by control will be raised by 875/125 to stimulate equal traffic for control and variations, making it very easy to see the estimated difference between control and variations.
All time activity
Here you can see the total number of active, paused, or expired experiments (total and by category: A/B test, personalization, overlay, or survey).
In this section, you will find the most recently created experiments, with a direct link to the reporting page for the specific experiment and also an edit button.
Top 5 experiments
On the next tab, you will find a list of the 5 most valuable experiments that you have run so far, based on your main goal.
All in all, this is your business dashboard that you can check anytime you want to see how your experiments are performing, based on your main goal.
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