How to analyse experiment data [OPExperiments]
Please note: You must be using OptimizePress version 2.5.7 or above for PlusPack features to function correctly
Once you've run a few experiments using OptimizePress Experiments, you will eventually be presented with a set of results on your dashboard. In this article, we're going to be looking at each element of these results to better help you understand and read the data.
To begin with, we're going to be using some sample data to help illustrate the different sections. The first thing you'll see upon entering OptimizePress Experiments is your main dashboard.
We've split the main dashboard into 3 separate rows: A row containing the ' Experiments' and 'Stats' buttons, which we'll get to a bit later, a row containing a list of your experiments. And a third row containing a further breakdown of each of your experiments.
You can create a new experiment from your existing experiments by clicking on the green ' Create New Experiment' button as well as pause/make active or remove any existing experiments from your list.
Clicking on the ' Test Name' in your experiment listings will expand and show a further detailed stats area of that experiment in the third row.
The detailed stats area will consist of 5 stats:
- Visits: How many visits your page has received during the course of the test.
- Alternatives: How many variations are running.
- Original's conversion rate: A percentage of the conversion rate of your source page (The higher the percentage, the more successful)
- Best Alternatives conversion rate: The percentage of the conversion rate of your alternative page(s).
- Conversion rates (%): A Pie chart showing a visual comparison of the conversion rates between your test pages.
Clicking on your experiment link on this row (A) will launch a light box containing a further breakdown of your stats to help you dig down on your most successful elements.
Here, you will be able to choose a date range of your data to be shown with 3 data types to select from:
The top bar graphs(1) give you a general overview of your experiments data.
- Conversions: How many optins, or goal visits you've had.
- Unique: How many unique visitors have come to your page.
- Views: How many total overall visitor views your page/pages have had.
The second graph(2) will display a comparison of your data throughout the date period you will have selected.
Back to the main dashboard. We will now click on the ' Stats' button on the first row as mentioned earlier. This will take you to an area detailing all of your optins in a date period of your choice with a listing of all of your pages created with OptimizePress.
The left hand section of the dashboard showcases a graph thats displays all of your optins that you will have acquired across all of your pages throughout a set period. The right hand section of the dashboard lists all of your pages created with OptimizePress with a list of stats to help you identify, which of your pages are the most successful:
- Preview: Clicking on the 'eye' icon will launch a preview of your page to help remind you what your page looks like.
- Views: The number of overall views your page has had in a set period.
- Unique Views: The number of unique visitors that have come to your page for the first time in a set period.
- Conversions: The number of optins, downloads, sales your page has helped you generate.
- Conversion Rate: The conversion percentage of your page (The higher the percentage, the more successful).
Finally, clicking on any of the page links in the right hand section of the dashboard will launch a light box with a deeper breakdown of your stats for each page:
PLEASE NOTE: There are two different scenarios which mean you may not see analytics data shown for your live experiments:
a - Only one variation visited (both the original and at least one variation needs to be visited for data to be recorded. You will see a notice message - "Insufficient conversion data for this experiment!"
b - At least one conversion is needed. You will see a notice message "There are no conversions yet for this experiment!"