Web & app experiments that help you ship what converts
Web & app experiments let you test ideas on real users before you roll them out to everyone. NVECTA helps growth, product, and CRM teams improve conversion, activation, and engagement with controlled testing and personalization.
Test safely
Run web A/B testing with clear variations so you can validate changes without risk.
Personalize experiences
Show different content to different users with web and app personalization.
Control releases
Use remote config to turn features on/off instantly, without waiting for a full release cycle.
Learn what works
Use feature experiment to measure impact and confidently execute winning adjustments.
Trusted by thousands
The engine behind better web & app experiments
Web A/B testing
Create variations in a code editor, analyze performance clearly, then rollout winners to replace opinions with proven results.
Web and app personalization
Use Web and app personalization to tailor experiences by user behavior, improving relevance, engagement, and conversions.
AI-Powered Experiments
NVECTA uses AI to identify high-impact tests, reducing guesswork and helping teams run meaningful web and app experiments.
Success quantified
Real results from real customers—measured across ROI, growth and retention
500+
satisfied clients globally
98%
clients satisfaction
5x
ROI for clients
2x
more conversion
How AI is used for web & app experiments
AI helps you run better tests with less effort and clearer priorities.
AI helps identify high-impact areas where web A/B testing can improve conversion or activation. This keeps your experiment roadmap focused and practical.
AI helps identify high-impact areas where web A/B testing can improve conversion or activation. This keeps your experiment roadmap focused and practical.
AI can highlight patterns in results, like which user groups respond better to which variation. That makes it easier to understand what’s driving performance and why.
AI helps guide web and App personalization by spotting which experiences fit which user behaviors. This improves relevance and reduces “one-size-fits-all” messaging.
AI can flag when results look uncertain, so teams avoid rolling out changes too early. This helps you protect performance while still moving fast.
Supporting features
Use the same platform to improve acquisition, activation, and retention—one controlled change at a time.
Run web A/B testing to test headlines, CTAs, layouts, and form steps. Analyze results and Rollout the best version to increase signups.
Use web and app personalization to show different content to new users, returning users, or high-intent segments. This helps users reach value faster and improves activation
Use remote config to release changes in phases and adjust quickly if needed. This reduces risk and keeps teams in control.
Use feature experiment to test new features, feature placements, or flow updates. Make decisions based on real usage impact, not assumptions.
Supporting features
Use the same platform to improve acquisition, activation, and retention—one controlled change at a time.
Run web A/B testing to test headlines, CTAs, layouts, and form steps. Analyze results and Rollout the best version to increase signups.
Use web and app personalization to show different content to new users, returning users, or high-intent segments. This helps users reach value faster and improves activation
Use remote config to release changes in phases and adjust quickly if needed. This reduces risk and keeps teams in control.
Use feature experiment to test new features, feature placements, or flow updates. Make decisions based on real usage impact, not assumptions.
Web A/B testing: Rollout
Roll out the winning version confidently once the results are clear. Reduce back-and-forth and move improvements into production faster.
Web A/B testing: Rollout
Roll out the winning version confidently once the results are clear. Reduce back-and-forth and move improvements into production faster.
Feature experiment
Test the impact of feature changes on key goals like activation, usage, or upgrades. This connects product releases to real outcomes, not just shipping velocity.
Feature experiment
Test the impact of feature changes on key goals like activation, usage, or upgrades. This connects product releases to real outcomes, not just shipping velocity.
Your data remains in your control
Trusted by teams worldwide
NVECTA operates without duplicating or storing your data. Instead, we securely read directly from your existing data warehouse—so your data stays safe and untouched.
Seamless integrations. Enterprise ready
Connect your data, systems, and tools through 100+ reliable integrations, built to unify your stack and scale with your business.
FAQ section
Web & app experiments are controlled tests that help you compare different versions of a page, experience, or feature to see what performs better on real users.
You create variations using a code editor, then analyze results to see which version wins, and rollout the winner to everyone once you’re confident.
Yes. NVECTA includes web and app personalization so you can show different experiences to different user groups based on behavior or context.
Remote config lets you turn features on/off or change settings without a full redeploy. It’s useful for gradual rollouts, quick fixes, and safer experiments.
A feature experiment helps you test the impact of a product feature change on goals like activation, engagement, or upgrades—before you roll it out widely.
Growth teams use it to improve conversion and acquisition flows, while product teams use it to validate feature changes and improve onboarding and engagement.
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Ready to unify your customer data and deliver personalized experiences?