How to Build Your Own Convert Experiences

Segment users by sources, channels, geo-locations and historical behavior

40+ filters in drag-and-drop conditions builder for targeting by location, language, device, time, cookies, UTM parameters, and custom tags

Target audiences based on historical behavior and actions

Target visitors based on cookie data

Advanced targeting using custom JavaScript conditions

Best in class A/B testing features with advanced targeting and post segmentation

Run experiments across multiple domains

Server-side testing, feature flagging and rollouts to unlock experimentation across all growth channels

Run A/B tests optimized for mobile web experiences

Reinforcement learning framework dynamically allocating more traffic to better-performing variants in real-time

Heatmaps showing user interaction patterns within experiments

Transparent statistical models with choice between Frequentist and Bayesian analysis

Real-time visibility into test progress toward statistical significance for primary metrics

Winsorizing and capping methods to handle anomalies across Shopify, APIs, and Webhooks

Slice and dice test data by visitor type, device, campaign, country and custom segments after test completion

Centralized audit trail of all account activity for transparency, security and compliance

Separate data storage for enhanced privacy and security

OAuth-based Google authentication for user login

Enhanced security with multi-factor authentication for logins

Granular permission controls based on user roles

Work with JavaScript and CSS on global and variation levels for advanced customization

Create and customize pop-up overlays for experiments

JavaScript editor with full access to site's JS, jQuery and CSS plus JS event tracking

WYSIWYG editor for creating test variations visually

Prevents same visitors from being exposed to multiple conflicting experiments on the same page

Unified QA widget to preview variants, check tracking installation health, and troubleshoot via live logs

Streamlined QA process for efficient test validation

Detects Sample Ratio Mismatch to identify when control and variant traffic distribution is unequal

Secure token-based API to create tests, modify settings, and generate reports programmatically

Simple single tag for easy implementation and tracking

Native integration for A/B testing on Shopify storefronts

Export raw test data for advanced analysis

Manually remove specific date ranges from experiments due to external factors affecting data quality

Compare KPIs like CTR, AOV, RPV, and ROI with high confidence and low costs