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What is Stella?
Stella is an innovative platform tailored for marketing measurement, offering marketers scientifically sound insights into which advertisements, campaigns, and media channels drive revenue growth. It includes three key features: Incrementality Testing, Always-On Incrementality, and Media Mix Modeling (MMM). With Incrementality Testing, Stella performs geo-holdout studies, commonly referred to as inverse holdouts, to determine performance variations between test and control regions, thereby isolating the direct effects of advertisements instead of relying solely on attribution techniques. This tool streamlines intricate statistical concepts like causal inference and confidence intervals, enabling users to grasp potential outcomes independent of any specific campaign, and revealing the true "lift" generated by each ad. Additionally, the Media Mix Modeling component utilizes a distinctive Bayesian method to analyze past marketing budgets alongside external factors, such as seasonality and promotional events, to accurately evaluate each channel's contribution to total sales. By employing these sophisticated strategies, Stella not only enhances the decision-making process for marketers but also ensures that the data they rely on is both precise and actionable. Ultimately, the platform stands as a vital resource for marketers seeking to optimize their advertising efforts effectively.
What is ABTestly?
ABTestly serves as a powerful A/B testing tool tailored for teams that wish to execute experiments via coding rather than utilizing a graphical interface.
Variations are developed using genuine JavaScript and CSS, allowing for seamless integration into your code repository and subjecting them to the same thorough review process as other code updates. The platform boasts a compact runtime of around 31 KB when gzipped, ensuring that users do not see a flash of the control version by delaying page rendering until the variation is completely applied.
Rather than relying on a single estimated figure, ABTestly diligently monitors assignment, exposure, and conversion as three separate events in a detailed ledger, which improves the transparency of results. It also provides well-defined confidence intervals alongside sample sizes, avoids hasty announcements of winning variations, and detects any discrepancies in sample ratios, notifying users of potential concerns.
With three statistical engines at its disposal, frequentist analysis is accessible for all plans, while sequential and Bayesian methods are exclusive to Pro plans and higher. Furthermore, a speed guardrail feature assesses the 75th percentile Largest Contentful Paint (LCP) in comparison to the control group, ensuring that performance metrics remain optimal.
Clear pricing options are available, starting at $99 monthly for up to 50,000 tracked users, $249 for 200,000 users, and $549 for as many as 500,000 users, all with a 14-day trial included for monthly subscriptions, allowing teams ample opportunity to test the platform's capabilities. This approach not only enhances user experience but also fosters confidence in the results obtained from A/B testing initiatives.
Media
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Integrations Supported
API Availability
API Availability
Pricing Information
$2,000 per month
Free Trial Offered?
Pricing Information
$99/month
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Online Training
Training Options
Documentation Hub
Company Facts
Organization Name
Stella
Company Location
United States
Company Website
www.stellaheystella.com
Company Facts
Organization Name
ABTestly
Date Founded
2025
Company Website
abtestly.com
Categories and Features
Incrementality Testing
Not specified
Categories and Features
AB Testing
Not specified