Responsive Web Templates Analytics

To get a better understanding of your campaigns, you can evaluate your results based on the campaign-specific figures. With our real-time analytics, you can keep track of the performance and effectiveness of your campaigns and take your next actions accordingly.

To measure campaign level performance, click Analytics against the campaign you wish to view the details on the Web Templates campaign listing page.

Selecting a time range using the date picker on the top right corner of the page, you can filter the performance metrics.

You can export the data you filtered in Excel file or get the URL of it to share.

Best Performing Variant Metrics

You can get the analytics of your campaign based on each platform. You can select your desired platform under the platform dropdown.

• Impressions: The number of times your users viewed your variant.
• Effective Days: The number of days on which at least one variant had been viewed more than 10 times.
• Uplift: Conversion rate uplift of the most successful variation compared to baseline.
• Incremental Value: Calculated difference of the most successful variation compared to baseline.

Performance Timeline

You can view the performance timeline of your campaign based on the platform you choose daily, weekly or monthly.

Performance Metrics

If you enable the platform breakdown button, you will get the statistics of each variant on each platform.

From the dropdown menu, you can select Goal Metrics to be shown in the dashboard for each active variant in your selected campaign.

• Impressions: Number of unique visitors which became part of the variation.
• Conversions: Number of successful primary goal occurrences.
• Conversion Rate: This metric indicates the percentage of your visitors who complete the goal for your variant.
• Uplift: Conversion rate uplift is calculated based on the ratio of the conversion rate of the variation to that of the control group.
• Significance: Significance is a global statistical term used for A/B Testing reports. It determines whether a report is reliable to take an action depending on it. Significance depends on the size of the experiment, meaning the number of impressions, and the difference in the performance, in other words, uplift. The score showing if the data is enough to keep or end the experiment. For example, if Significance is <95%, the experiment is not significant yet.
• Probability To Win: Probability to Win is the likelihood of this variant to best the other variant(s) in the test. This percentage is calculated by using Bayesian Significance, based on the collected data so far.
• Incremental Revenue: It is the extra revenue generated by the variation, calculated by finding the difference between the variation and the control group.
• Incremental Conversion: This metric is the number of extra conversions generated by any group of personalization. It is calculated based on the comparison of the variant performance to the control group performance.
• Revenue: is the value of purchases made from your variant.
• AOV(Average Order Value): is the ratio of the revenue to the total number of purchases.
• AOV Uplift: Average order value uplift is calculated based on the ratio of the average order value of the variation to that of the control group. The difference between the average order value performance of the variation and the control group will give this uplift.