Evaluate experiments in Varify.io
Table of contents
In short
If you connect your Google Analytics property in your tracking setup, you can evaluate your experiments directly in Varify using internal reporting. In this article, you can find out everything you need to know about internal Varify reporting.
Notice: Reporting in Varify is only available if the reporting option "In Varify and GA4" has been selected in the tracking setup and the corresponding GA4 property has been successfully connected.
Calling up the reporting page
As soon as you start a new experiment, the "Results" section will appear at the top right of the experiment. Click on it to go to the evaluation report.
Notice: The "Results" button only appears if the connection to the GA4 property was already established when the experiment was started. If the button is not displayed after the start, you will find a solution here.
Creating the report
You can add various Google Analytics goals on the report page.
To do this, click on „Add new goal“.
Select the metric you want to evaluate from the list. You can find revenue goals in the „Revenue“ tab.
Then click on „Add Goal“. After a short moment, the goal will appear in the report.
You can assign several metrics, key events or events to a report. Each selection is displayed separately as its own goal in the list.
Notice: After starting the experiment, it can take up to 24 hours until the first events are available for selection.
The goal has been added to the report. For each goal, Varify compares the metrics between the variants. For each variant, the number of visitors is set in relation to the measured metric and displayed as the conversion rate. You can also see the improvement as well as confidence and significance.
Customize and filter the reporting
You have various options for customizing the reporting. Use the date slider to set the time period. By default, „Experiment start to current date“ is selected.
You can also use the following filters and segmentations:
| Filter/Segment | Explanation |
|---|---|
| Device | Segmentation by device category: mobile, desktop, tablet. |
| Segment | Segmentation by visitor type: all visitors, new visitors, returning visitors. |
| Baseline | Improvement, confidence and significance are based on the selected baseline (standard: „original“). |
| Outlier Smoothing | Filter outliers in revenue targets to avoid distortions caused by very high orders. |
| Exclude Duplicate User Events | Events per user are only counted once by default, even if they are triggered multiple times; if this option is deactivated, triggers are counted multiple times. |
We have all filter and segmentation options here described once again in more detail.
Evaluation of the test results
A conversion rate and an uplift are calculated based on the number of visitors in the variant and the values of the selected metric.
To check whether your experiment is statistically significant, you can use the confidence level for the evaluation. Variants with a confidence level of 95 % or higher are highlighted with a green "Yes".
Pin primary goal and goals
For a better overview in reporting, you can define a primary goal and/or pin goals at the top.
Primary Goal
The primary goal is the main metric of your experiment. You can mark any goal you add as the primary goal, but only one is possible at a time.
How to set a primary goal:
- Click on the pencil icon in the reporting overview.
- Select the primary goal.
- Save with the floppy disk symbol.
The primary goal is always displayed at the top in green - even above pinned goals.
Pin Goals
You can pin goals. They then remain at the top of the reporting, even if you add new goals. This means you always have the most important goals to hand.
How to pin a goal:
- Click on the pin at the top right.
- To release, click on the pin again.
Pinned goals remain at the top and are marked with a green frame.
BigQuery, Shopify or PostHog in Varify Reporting
In addition to the Google Analytics 4 Goals, you can also display the following web analytics key figures in Varify Reporting:
| Filter/Segment | Explanation |
|---|---|
| Google Analytics 4 | As described in this article, you can display GA4 events in Varify Reporting. |
| BigQuery | If you use BigQuery in conjunction with GA4 to analyze your raw data, you can also use Varify Reporting with BigQuery numbers. Learn more |
| Shopify | In Varify Reporting, you can use your Shopify figures live for analysis. To do this, you need a GA4 tracking setup and our Shopify tracking integration. Learn more |
| PostHog | If you use our PostHog Tracking integration, the figures are available for analysis in Varify Reporting. Learn more |
First steps
Tracking & web analytics integrations
- Tracking with Varify
- Manual Google Tag Manager tracking integration
- Automatic GA4 tracking integration
- Shopify Custom Pixel Integration via Google Tag Manager
- Shopify Tracking
- BigQuery
- PostHog evaluations
- Matomo - Integration via Matomo Tag Manager
- etracker integration
- Piwik Pro Integration
- Consent - Tracking via Consent
- Advanced Settings
- Tracking with Varify
- Manual Google Tag Manager tracking integration
- Automatic GA4 tracking integration
- Shopify Custom Pixel Integration via Google Tag Manager
- Shopify Tracking
- BigQuery
- PostHog evaluations
- Matomo - Integration via Matomo Tag Manager
- etracker integration
- Piwik Pro Integration
- Consent - Tracking via Consent
- Advanced Settings
Create experiment
Targeting
Reporting & evaluation
- Reporting in Varify.io
- BigQuery
- Segment and filter reports
- Share report
- Audience-based evaluation in GA4
- Segment-based evaluation in GA 4
- PostHog Tracking
- Exporting the experiment results from Varify
- Matomo - Results analysis
- etracker evaluation
- Calculate significance
- User-defined click events
- Evaluate custom events in explorative reports
- GA4 - Cross-Domain Tracking
- Reporting in Varify.io
- BigQuery
- Segment and filter reports
- Share report
- Audience-based evaluation in GA4
- Segment-based evaluation in GA 4
- PostHog Tracking
- Exporting the experiment results from Varify
- Matomo - Results analysis
- etracker evaluation
- Calculate significance
- User-defined click events
- Evaluate custom events in explorative reports
- GA4 - Cross-Domain Tracking
Visual editor
- Campaign Booster: Arrow Up
- Campaign Booster: Exit Intent Layer
- Campaign Booster: Information Bar
- Campaign Booster: Notification
- Campaign Booster: USP Bar
- Add Link Target
- Browse Mode
- Custom Selector Picker
- Edit Content
- Edit Text
- Move elements
- Hide Element
- Keyword Insertion
- Redirect & Split URL Testing
- Remove Element
- Replace Image
- Responsive Device Switcher
- Style & Layout Changes
- Campaign Booster: Arrow Up
- Campaign Booster: Exit Intent Layer
- Campaign Booster: Information Bar
- Campaign Booster: Notification
- Campaign Booster: USP Bar
- Add Link Target
- Browse Mode
- Custom Selector Picker
- Edit Content
- Edit Text
- Move elements
- Hide Element
- Keyword Insertion
- Redirect & Split URL Testing
- Remove Element
- Replace Image
- Responsive Device Switcher
- Style & Layout Changes