A/B Testing Platform
Move from risky trial-and-error to a data-driven, linear path to improvement. Test every change before you build.
From Hypothesis to Confident Implementation
Before investing valuable development resources, you need to validate that your ideas for improving search will actually work. Our A/B testing platform provides a fast, cost-effective way to run numerous experiments, compare different configurations, and select the best path forward based on hard data, not just intuition.
Test What Matters, Quickly
The platform allows you to test a wide range of search configurations against your typical user queries and expected results. This allows you to see precisely how dramatically the search experience changes with each modification. Common test scenarios include comparing configurations with:
- Synonyms turned on vs. off.
- Different phrase search boosting settings.
- Variations in field weighting (e.g., boosting the title field).
- New vs. legacy ranking algorithms.
- Changes in promotional logic or personalization.
Avoid Unintended Consequences
A common pitfall in search optimization is fixing one problem only to create five new ones. A seemingly minor change can have a ripple effect, improving results for one query set while degrading them for another. Our platform makes these trade-offs visible, allowing you to make holistic improvements and avoid deploying changes that do more harm than good.
Accelerate Your Roadmap
Because testing is fast and essentially free, you can run dozens of experiments to find the optimal approach. This eliminates wasted development cycles on ideas that don't pan out, allowing you to move directly toward your goals instead of navigating a maze of trial and error.