Omniconvert Explore 3.0: How New Testing Features Unlock Growth for Ecommerce

Shopify and e-commerce teams are constantly under pressure to do more with less. Traffic costs are rising, customer expectations are higher than ever, and the simple frontend tweaks that once delivered growth are no longer enough

That’s why the new release of Omniconvert Explore 3.0 is such a significant step forward. It introduces three powerful features that move experimentation beyond aesthetics and into the areas that actually influence revenue:

1. Native mobile app testing for iOS and Android
2. Server-side testing for deeper backend experiments
3. Shopify-native pricing experiments for product price points

In this article we’ll walk through what each new capability does and how it benefits modern e-commerce teams, stores, and business leaders alike.

What Is Native Mobile App Testing and Why Does It Matter?

Native mobile apps are often where the most loyal and valuable customers engage. They spend more time, return more frequently, and are more likely to convert than visitors on desktop or mobile web. Yet until now, true experimentation inside native mobile apps has been difficult to set up and slow to iterate.

Omniconvert Explore 3.0 changes that.

With native mobile app testing, your team can run controlled experiments inside any iOS or Android app, so you can answer questions like:

• Does a simplified onboarding flow increase retention?
• How does changing the layout of an in-app purchase screen affect conversions?
• Which messaging reduces friction and keeps users engaged?

What Can You Test With Native Mobile App Experiments?

• Onboarding flows to reduce early churn
• In-app purchase paths to boost revenue
• Layouts, UI components, and navigation variations
• Messaging and interaction flows that influence user behavior

How Does This Benefit Ecommerce Stores?

• Boosts mobile engagement and retention
• Reveals what drives purchases inside the app
• Reduces friction and improves user experience

How Do Teams Work With This Feature?

• Product and CRO teams iterate faster with evidence
• Design teams validate creative decisions with real user data
• Leaders get clarity on what works across devices

This feature brings app experiences into the modern experimentation workflow for the first time, closing a gap that many optimization programs have struggled with.

How Does Server-Side Testing Improve Backend Logic Experiments?

Most optimization in ecommerce focuses on the user interface: buttons, layouts, images. But the logic underneath, the rules that drive recommendations, discounts, system behavior, and personalization, often has a bigger impact on customer action.

With Omniconvert Explore 3.0’s server-side testing, you can now test these deeper decisions directly on live traffic, without needing heavy engineering support or risky rollouts.

What Types of Changes Can You Test?

• Backend business logic variations
• Recommendation rule sets
• Discount condition changes
• Performance or caching strategies

What Business Benefits Does This Unlock?

• Backend optimizations validated with live traffic
• Reduced risk in deploying logic changes
• Clear insight into how system behavior shapes user outcomes

How Is This Useful for Teams?

• Engineers and CRO specialists can collaborate on experiments
• It removes frontend limitations from backend validation
• Results are more reliable and stable than browser-only tests

Server-side experiments bridge the gap between technical decisions and measurable business impact.

What Are Shopify-Native Pricing Experiments and Why Use Them?

Pricing is one of the most powerful levers an e-commerce store has, but it has also been one of the hardest to test on Shopify, due to platform constraints

Omniconvert Explore 3.0 now offers Shopify-native pricing experiments that let you evaluate how product price points actually perform with your audience.

What Pricing Variations Can You Compare?

• Different product price points
• Price sensitivity and behavior impact

How Do These Experiments Benefit Stores?

• Identifies price points that maximize both conversion and revenue
• Reveals how customers respond to pricing adjustments
• Reduces risk associated with price changes

What Advantage Do Teams Gain?

• Data-driven pricing decisions replace guesswork
• Marketers and product leads can align on pricing strategy
• Faster insight into revenue impact of price changes

By turning pricing into an experimentable variable, Omniconvert Explore 3.0 puts one of the most sensitive revenue levers into your optimization roadmap.

How Does Omniconvert Explore 3.0 Increase Overall Ecommerce Revenue?

Omniconvert Explore 3.0 gives teams the tools to run deeper experiments, but like all experimentation platforms, outcomes depend on context, traffic patterns, audience behavior, and how tests are designed. Here’s how the features can potentially influence key e-commerce goals:

Can It Help Improve Conversion Rates?

By exposing mobile app flows and backend logic to controlled tests, teams have the opportunity to identify and reduce friction that may be blocking purchase completion. Well-designed variations can help reveal which experiences may lead to smoother user journeys.

Can It Increase Average Order Value (AOV)?

Pricing experiments allow merchants to explore how customers respond to different price points. Insights from these tests can help teams find pricing strategies that might encourage customers to spend more, while balancing conversion sensitivity.

Can It Raise Revenue Per Visitor (RPV)?

When elements across the app, backend logic, and pricing are tested and refined based on real behavior, some stores can see improvements in how much revenue they generate per visit. How much improvement occurs can vary depending on traffic quality and the nature of the tests.

Can It Help Reduce Acquisition Costs?

By improving how effectively each visitor converts or spends, teams can potentially make paid acquisition more efficient. This may lead to a lower cost per acquisition over time, assuming traffic volume and quality remain constant and optimization efforts yield positive insights.

Conclusion: The Future of E-commerce Optimization

Traditional optimization tools focused on surface changes. Omniconvert Explore 3.0 expands what’s possible by:

✔ letting teams test inside native mobile apps,

✔ validating backend logic, and

✔ measuring pricing decisions that impact revenue.

These capabilities bring a deeper, more strategic layer of experimentation to e-commerce, helping teams answer the questions that truly matter: What improves retention? What increases revenue? What pricing strategy works best?

For teams that want reliable insights backed by real user behavior, Omniconvert Explore 3.0 is a major step forward, making optimization data-driven, decision-ready, and aligned with modern e-commerce complexity.