Readiness is an indicator that lets you know when your campaign or goal has reached statistical reliability and is therefore ready to be analyzed.
Readiness is available in the reporting of both your test and personalization campaigns.
The readiness test is also displayed in the campaign dashboards to help you to identify easier what campaigns you can pause and analyze. The color of the access report CTA changes accordingly to the readiness level.
Campaign readiness is always based on the readiness of the Primary goal you’ve chosen for your campaign.
Readiness indicator functioning
Availability
For goals
Readiness is available for each goal you have selected for your campaign: goal readiness
Readiness for goals is also used in our Reporting Copilot to help you analyse your results.
For campaigns
The campaign readiness indicator is the readiness is based on the campaign’s primary goal performance. When the primary goal is ready, meaning that it has reached the required number of days, conversions, and visitors, the campaign is considered ready as well and reliable. We recommend waiting for your campaign to be ready before analyzing its results.
This indicator is displayed in the campaign dashboards to help you to identify easier what campaigns you can pause and analyze.
Calculation rules
Readiness indicator is based on the 3 following metrics:
|
Campaign duration (days) |
The campaign must be live for at least 14 days. |
|
Traffic volumetry (visitors) |
At least 5,000 unique visitors must see each variation. |
|
Number of conversions |
At least 300 unique conversions must take place on each variation |
Good to know 💡
For browsing metrics (Revisit rate, Pages per session, and Bounce rate), the conversion metric is not taken into account in readiness calculation, meaning that goal readiness is based on days and the number of unique visitors only.
How to read Readiness indicator status
The readiness is available for each reporting indicator, on the top right.
The label informs about the readiness status. Hovering the (i) triggers more details about the readiness calculation and the status of each metric.
We recommend waiting for each goal to be ready before analyzing its results.
Readiness statuses
There are 4 readiness statuses, which enable you to know whether the campaign is ready for analysis at a glance.
|
👀 What you see |
🏁 Status |
📝 Explanation |
|
No data |
No data |
Your campaign and/or goal hasn’t collected any data yet, is in QA, or has never been launched. |
|
Ready |
Ready to be analyzed |
Your campaign and/or goal are statistically reliable. That is to say, it has been live for more than 14 days, and and had enough visitors and conversions on the primary goal. You can start analyzing the results of your campaign. |
|
Not ready |
Not ready to give reliable results yet |
Your campaign and/or goal is not statistically reliable yet. Either because there have not been enough visitors and/or conversions, or because your campaign has been live for less than 14 days. We recommend waiting before analyzing the results of your campaign. |
Good to know 💡
If you change the traffic allocation of your campaign after it has been launched, campaign and goal readiness will automatically adapt.
Heads up ⚡️
Variations that have less than 1% of the traffic won’t be taken into account in the readiness calculation.
Goal readiness with filters
When filtering your reporting data, the readiness of the filtered data is displayed in addition to the goal readiness, to let you know if the reporting data are also ready to be analyzed.
The calculation is the same and based on campaign duration, traffic volumetry, and number of conversions.
Once these criteria have been reached, the readiness of the filtered data turns blue, meaning that filtered data is ready to be analyzed. You will also see a blue-striped banner at the left of the Unique visitors card to inform you that filters have been applied to the reporting.
Good to know 💡
Readiness of the filtered data may take more time to be reached as the number of visitors meeting the filtered criteria is lower. For example, if you filter your reporting data on mobile visitors, readiness won’t be reached until at least 5,000 unique visitors have seen each variation.