Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
ABTestly is a robust A/B testing solution designed for teams that prefer to implement experiments through code rather than a graphical interface.
Each variation is crafted using authentic JavaScript and CSS, ensuring that experiments are integrated directly into your code repository and undergo the same rigorous review process as other code modifications. The platform maintains a lightweight runtime of approximately 31 KB when gzipped, and it prevents visitors from experiencing a flash of the control version by holding the page until the variation is fully applied.
Instead of relying on a single inferred number, ABTestly meticulously tracks assignment, exposure, and conversion as three distinct events on a precise ledger, enhancing the auditability of results. It provides clear confidence intervals along with the sample size, avoids premature declarations of winning variations, and identifies any sample ratio mismatches, alerting users to potential issues.
The platform features three statistical engines: frequentist analysis is available for all plans, while sequential and Bayesian methods are reserved for Pro plans and above. Additionally, it includes a speed guardrail that compares the 75th percentile Largest Contentful Paint (LCP) against the control group, ensuring optimal performance metrics.
Transparent pricing is available, with plans starting at $99 per month for up to 50,000 tracked users, $249 for 200,000 users, and $549 for up to 500,000 users, all of which come with a 14-day trial for monthly subscriptions to allow teams to evaluate the service effectively.
Description
Stella is a platform designed for marketing measurement, providing marketers with robust, scientifically validated insights into which advertisements, campaigns, and media channels effectively contribute to increased revenue. The platform is equipped with three primary tools: Incrementality Testing, Always-On Incrementality, and Media Mix Modeling (MMM). Through Incrementality Testing, Stella conducts geo-holdout studies, also known as inverse holdouts, to evaluate performance differences between test and control areas, effectively isolating the causal effects of advertisements as opposed to relying solely on attribution methods. This tool simplifies complex statistical processes, including causal inference and confidence intervals, allowing users to understand the potential outcomes without a specific campaign, thus uncovering the genuine “lift” attributed to each advertisement. Furthermore, its Media Mix Modeling feature employs a unique Bayesian approach to dissect historical marketing expenditures and various external influences, such as seasonality and promotional events, to assess the contribution of each channel to overall sales effectively. By leveraging these advanced methodologies, Stella empowers marketers to make informed decisions based on accurate data analysis.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon
No
Google Cloud Platform
No
Meta AI
No
Shopify
No
Snowflake
No
Integrations
Amazon
Yes
Google Cloud Platform
Yes
Meta AI
Yes
Shopify
Yes
Snowflake
Yes
Pricing Details
$99/month
Free Trial
Yes
Free Version
No
Pricing Details
$2,000 per month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
ABTestly
Founded
2025
Website
abtestly.com
Vendor Details
Company Name
Stella
Country
United States
Website
www.stellaheystella.com
Product Features
AB Testing
Audience Targeting
No
Campaign Segmentation
No
Funnel Analysis
No
Heatmaps
No
Landing Pages / Web Forms
No
Multivariate Testing
No
Split Testing
No
Statistical Relevance Analysis
No
Surveys
No
Test Scheduling
No
Visual Editor
No
Product Features
Alternatives
No Alternatives