How to use Uniform Insights

This is capabiltity that can be enabled by installing a special integration from Uniform. After it is configured, each Personalization and A/B Test inside Uniform's visual composition editor will get a new Insights tab showing primary (conversion-focused) and secondary metrics with the breakdown by variant:

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Integrated A/B testing insights
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Integrated personalization insights

This integration requires a one-time addition of a special Insights plugin for the Uniform Context tracker and can co-exist with your existing analytics systems of choice.

See the how to install guide for the detailed steps.

The goal of Uniform Insights is to help marketers and growth specialists understand how their experiements and personalization is performing in context of where content and experiences are managed, discover new optimization opportunities and understand the behavior of visitors in real-time.

For each A/B test or personalization, you can see how each variant is performing using primary and secondary metrics.

Any Uniform signal configured to trigger conversion will be used to measure conversion rate. This is a solution-specific configuration, varying by your use case. In addition, you are able to measure conversion across all signals, that are marked as conversion.

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all signals with conversion will appear here

Secondary metrics supplement the primary metrics to provide a more comprehensive view of the test performance. The following secondary metrics are available:

  1. Visitors: number of unique visitors reached
  2. Visits: number of visits
  3. Events: number of events triggered
  4. Bounce rate: percentage of visitors who leave the site after viewing only one page

Based on real-time data collection, Uniform Insights can detect the trending variant in the test. This is a variant that is outperforming the others in real-time. This will help you in early detection of a winner and focus on optimizing this variant.

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Trending variant

Uniform Insights uses collected data and industry accepted methods of statistical significance calcucation to detect a winning variant and highlight it inside the Insights tab:

For both A/B testing and personalization, you can switch to the Comparison mode to see how the performance of the current variant compares to the control variant in case of an A/B test and to the baseline personalization variant if you analyze personalization performance.

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Comparison mode

Time series view shows historic performance of all variants of a test or personalization in a line chart:

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Cumulative view
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Time series view

Conversion measurement is performed via a Uniform signal that is configured to trigger conversion. It's a new setting enabled with Insights and accessible in the signal editor:

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Create a conversion signal

Simply toggle Once in the Trigger Conversion section of the signal editor to enable conversion measurement.

note

Make sure to save and publish the manifest after applying this change. This may require a rebuild of your application depending on your setup.

You can either use an existing signal and configure it to trigger conversion or create a new signal.