Model tab > Statistical Tests - Test for Rates

Intended audience: end-users developers

AO Platform: 4.3

Test for Rates

The Model tab generally includes one or more of the following sections:

Data Fields - these are the data field configuration properties mandatory for the model to execute.
Model Specific Configurations - configuration properties in this section will vary depending on the selected model. If the model does not require additional configuration, the section(s) will not be shown.

Single Group Binomial Test

Properties

Label	UI	Default	Description
Data Fields
Category Field	Dropdown w/Expression		Represents non-numeric groupings (eg, product type, customer segment) used to compare differences across multiple samples.
Value Field	Dropdown w/Expression		Represents the numerical data being tested, typically success or failure rates (eg, click-through rates, defect rates).
Preview Model Data	Button		Opens a dialog to view the data that will be used by the model. See Model > Model tab.
Model Configuration
Add Groups	Repeater Section		Allows users to define specific data segments (eg, different marketing campaigns, product variations) for separate analysis.
Group Name	Text Field
Group Fields	Tags
Select Groups to Compare	Repeater Section		Enables users to choose which predefined groups should be statistically compared to determine if their success rates significantly differ.
Group 1	Dropdown
Group 2	Dropdown
Confidence Score	Number Field	95	Represents the range in which the true prediction is expected to fall, based on a chosen confidence level. For example, a 95% confidence level means there’s a 95% chance the actual value lies within that range. Users can adjust the confidence level (eg, 90 to 99), with higher levels widening the interval to reflect greater certainty.
Report Insight By	Dropdown	Lower Bound	Defines how insights are generated based on key statistical measures: Lower Bound - the minimum expected value in the analysis, helping identify underperformance. Upper Bound - the maximum expected value, highlighting high-performing data points. Mean - the average value, providing a baseline comparison for evaluating trends and differences. These metrics help businesses assess performance variations and make data-driven decisions.

Multi Group Binomial Test

Properties

Label	UI	Default	Description
Data Fields
Category Field	Dropdown w/Expression		Represents non-numeric groupings (eg, product type, customer segment) used to compare differences across multiple samples.
Value Fields	Dropdown w/Expression		The numerical data being analyzed (eg, sales, conversation rate) to test whether differences between groups are statistically significant.
Preview Model Data	Button		Opens a dialog to view the data that will be used by the model. See Model > Model tab.
Model Configuration
Series	Checkboxes	All selected
Add Groups	Repeater Section		Allows users to define specific data segments (eg, regions, product lines) for separate analysis of success rates.
Group Name	Text Field
Group Fields	Tags
Select Groups to Compare	Repeater Section		Enables users to choose which predefined groups should be compared to determine if their success rates significantly differ.
Group 1	Dropdown
Group 2	Dropdown
Insight Message Type	Dropdown		Defines how results are communicated (eg, summary insights, detailed statistical explanations) to help users interpret the findings.
Filter Insights By	Radio-buttons		Allows users to refine the analysis based on specific criteria (eg, selecting only high-performing regions or filtering by threshold success rate). Options are: Percentages Percentiles
Bottom Insights			Bottom Insights - identifies categories with the lowest success rates (eg, underperforming stores or lowest response rates).
Number of Bottom Insights	Number Field	2
Bottom Insights Falling in Range	Number Fields	0-50
Top Insights			Top Insights - highlights categories with the highest success rates (eg, top-performing products or highest engagement augments).
Number of Top Insights	Number Field	2
Top Insights Falling in Range	Number Fields	51-100
Confidence Interval Bounds	Dropdown	Lower	Provides a range within which the true success rate is expected to fall, offering statistical certainty about the observed results. Lower - the lowest expected success rate within the confidence interval. Upper - the highest expected success rate within the confidence interval.
Rules for Adding to Insights Feed Page from Scheduler	Radio-buttons		This section allows the user to select if the Quick Insight will be added to the Insights Feed page when generated from a Scheduled Task. See Model > Model tab.

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