Optimizely: Most-used fields

The table below gives information about most-used fields that you can import from Optimizely. Other fields might also be available in Adverity.

The fields that you can fetch in Adverity are updated regularly to reflect updates to data source APIs.

API name	Adverity UI name	Description	Use in Adverity
Confidence Interval - High	Confidence Interval - High	The upper bound of the confidence interval for a metric’s value in an experiment variation.	dimension
Confidence Interval - Low	Confidence Interval - Low	The lower bound of the confidence interval for a metric’s value in an experiment variation.	dimension
Denominator Value	Denominator Value	The total count of events or users included in the denominator for calculating a metric, such as impressions or visitors.	metric
End Time (UTC)	End Time (UTC)	The date and time (in Coordinated Universal Time) when the experiment concluded or when data collection for the report ended. This field is used as a parameter for fetching experiment results.	dimension
Improvement Status from Baseline	Improvement Status from Baseline	Indicates whether a variation shows improvement, decline, or no significant change compared to the baseline (control) variation.	dimension
Improvement Value from Baseline	Improvement Value from Baseline	The percentage or absolute difference in the metric’s value for a variation compared to the baseline (control) variation.	dimension
Is Baseline Variation	Is Baseline Variation	A boolean indicator specifying if the current variation is the control group (baseline) in the experiment.	dimension
Is Improvement Significant	Is Improvement Significant	A boolean indicator showing if the observed improvement or decline of a variation compared to the baseline is statistically significant.	dimension
Metric Denominator Type	Metric Denominator Type	The classification or type of data used as the denominator in the calculation of a specific metric (e.g., unique visitors, impressions).	dimension
Metric Event ID	Metric Event ID	The unique identifier for the event that the metric is tracking.	metric
Metric Event Name	Metric Event Name	The user-friendly name of the event that the metric is tracking.	dimension
Metric Numerator Type	Metric Numerator Type	The classification or type of data used as the numerator in the calculation of a specific metric (e.g., conversions, clicks).	dimension
Metric Value	Metric Value	The calculated value of the metric for a specific variation.	dimension
Metric Winning Direction	Metric Winning Direction	Indicates whether a higher value or a lower value for this metric is considered a positive outcome (e.g., ‘increase’ for conversions, ‘decrease’ for bounce rate).	dimension
Numerator Value	Numerator Value	The total count of events or users included in the numerator for calculating a metric, such as conversions or clicks.	metric
Samples Remaining to Significance	Samples Remaining to Significance	The estimated number of additional samples or visitors needed for an experiment to reach statistical significance for a given metric.	dimension
Scaled Confidence Interval - High	Scaled Confidence Interval - High	The upper bound of the scaled confidence interval, indicating the highest likely impact or value for a given metric from the experiment results.	dimension
Scaled Confidence Interval - Low	Scaled Confidence Interval - Low	The lower bound of the scaled confidence interval, indicating the lowest likely impact or value for a given metric from the experiment results.	dimension
Scaled Improvement Value From Baseline	Scaled Improvement Value From Baseline	The scaled value representing the improvement or degradation of a metric compared to the experiment’s baseline or control group.	dimension
Start Time (UTC)	Start Time (UTC)	The date and time (in Coordinated Universal Time) when the experiment started or when data collection for the report began. This field is used as a parameter for fetching experiment results.	dimension
Statistical Significance	Statistical Significance	A measure indicating the probability that the observed results of an experiment are not due to random chance. It is a key indicator in A/B testing reports.	dimension
Variation ID	Variation ID	The unique identifier for a specific variation within an experiment.	metric
Variation Name	Variation Name	The human-readable name of a specific variation within an experiment.	dimension
api_name	api_name	The internal name of the API endpoint or resource from which the data is collected.	dimension
archived	archived	A boolean indicator specifying if the item (e.g., project, campaign, experiment) has been archived, meaning it is no longer actively used but retained for historical purposes.	dimension
campaign_id	campaign_id	The unique identifier for the Optimizely campaign.	dimension
campaign_name	campaign_name	The human-readable name of the Optimizely campaign.	dimension
condition_type	condition_type	The category or type of condition applied within an experiment, such as a specific variation or targeting rule.	dimension
conditions	conditions	The set of targeting rules or criteria that determine which users are included in an audience or exposed to a specific experiment variation.	dimension
created_date	created_date	The date when the entity was created.	dimension
created_time	created_time	The time when the entity was created.	dimension
date	date	The date when the experiment data or specific metric was recorded.	dimension
default_value	default_value	The default value assigned to a feature variable or setting if no specific variation is applied.	dimension
description	description	A detailed explanation or summary of the item.	dimension
enabled	enabled	A boolean indicator specifying if a feature, experiment, or other entity is currently active or enabled.	dimension
event_type	event_type	The classification or category of an event, such as a ‘click’ or ‘page_view’.	dimension
experiment_count	experiment_count	The total number of experiments associated with a project or campaign.	metric
experiment_id	experiment_id	The unique identifier for the Optimizely experiment.	dimension
experiment_name	experiment_name	The human-readable name of the Optimizely experiment.	dimension
id	id	The unique identifier for the entity.	dimension
implementation.apply_js	implementation.apply_js	JavaScript code executed when a variation is applied to a webpage, modifying its behavior or appearance.	dimension
implementation.css	implementation.css	Cascading Style Sheet (CSS) code applied to a webpage when a variation is active, altering its visual presentation.	dimension
implementation.html	implementation.html	HTML content injected or modified on a webpage when a variation is active, changing its structure.	dimension
implementation.reset_js	implementation.reset_js	JavaScript code executed to revert or reset changes made by a variation’s ‘apply_js’.	dimension
implementation.track_layer_decision	implementation.track_layer_decision	Code or configuration that tracks the decision made by the Optimizely experimentation layer, such as which variation a user was bucketed into.	dimension
implementation.undo_js	implementation.undo_js	JavaScript code executed to undo the effects of a variation, often used when a variation is stopped or archived.	dimension
is_classic	is_classic	A boolean indicator to differentiate between classic Optimizely Web Experimentation and other types of experiments, such as Feature Experimentation or Full Stack (legacy).	dimension
key	key	A unique identifier or programmatic key for an entity.	dimension
last_modified_date	last_modified_date	The date when the entity was last modified.	dimension
last_modified_time	last_modified_time	The time when the entity was last modified.	dimension
name	name	The human-readable name of the entity.	dimension
page_id	page_id	The unique identifier for a specific webpage or page type on which experiments are run.	dimension
project_id	project_id	The unique identifier for the Optimizely project.	dimension
project_name	project_name	The human-readable name of the Optimizely project.	dimension
segmentation	segmentation	Data or criteria used to define audience segments for targeting experiments or analyzing results.	dimension