Elevate A/B Testing Price Test vs Pay What You Wantfor Shopify (2026)
Elevate A/B Testing Price Test and Pay What You Want represent fundamentally different approaches to pricing on Shopify. Elevate A/B Testing Price Test positions itself as an all-encompassing A/B testing platform, allowing merchants to optimize various aspects of their store, including pricing, themes, content, and shipping. It's designed for data-driven decision-making, offering statistically validated insights and supporting a wide range of integrations. In contrast, Pay What You Want focuses specifically on dynamic pricing and customer empowerment by enabling them to suggest their own prices, aiming to reduce cart abandonment and foster customer loyalty through flexibility and donations. Elevate A/B Testing Price Test is aimed at larger e-commerce teams seeking to rigorously test and optimize every facet of their store for maximum revenue. Pay What You Want, on the other hand, targets smaller businesses or those with specific product categories (e.g., art, donations) where customer willingness to pay is a more critical factor. The value proposition of Elevate A/B Testing Price Test lies in its comprehensive testing capabilities and statistically significant results, whereas Pay What You Want emphasizes increased customer engagement and perceived value through flexible pricing.
At a Glance
Elevate A/B Testing Price Test
76 reviews
Pay What You Want
41 reviews
Detailed Overview
Elevate A/B Testing Price Test
All-in-one AB testing: optimize prices, shipping, themes, content and more to maximize store profit!
Key Features
- AB test themes, templates, landing pages & content to supercharge revenue growth
- AB test product prices and shipping rates to unlock maximum profit potential
- Segment & target customers with laser precision to boost engagement and sales
- Integrates with 100+ platforms & pagebuilders - from Shopify to custom solutions
- Unlock powerful insights with 100+ metrics, real-time stats & confidence scoring
Pay What You Want
With the Pay What You Want app, Give a free hand to customers who can make an offer & donation
Key Features
- Enable PWYW to allow Customers to name their price
- Create a price range to set limits min and max price limit for products
- Customize and Add an “Ask Your Price/Make an Offer” button on catalog pages
- Make an offer give a free hand to audience with easy donation process
- Add buttons to redirect users directly from catalog to Cart or Checkout page
Feature Comparison
| Rating | 5/5 | 4.3/5 |
Rating Elevate A/B Testing Price Test5/5 Pay What You Want4.3/5 | ||
| Reviews | 76 | 41 |
Reviews Elevate A/B Testing Price Test76 Pay What You Want41 | ||
| Primary Function | Comprehensive A/B Testing | Pay What You Want Pricing |
Primary Function Elevate A/B Testing Price TestComprehensive A/B Testing Pay What You WantPay What You Want Pricing | ||
| Pricing Strategy | Data-Driven Optimization | Customer-Driven Flexibility |
Pricing Strategy Elevate A/B Testing Price TestData-Driven Optimization Pay What You WantCustomer-Driven Flexibility | ||
| Target Merchant | Larger E-commerce Teams | Small Businesses, Donation-Based Stores |
Target Merchant Elevate A/B Testing Price TestLarger E-commerce Teams Pay What You WantSmall Businesses, Donation-Based Stores | ||
| Ease of Use | Simplicity & Sophistication | Theme Compatible; Customizable Button |
Ease of Use Elevate A/B Testing Price TestSimplicity & Sophistication Pay What You WantTheme Compatible; Customizable Button | ||
| Value Proposition | Revenue Maximization through Testing | Increased Customer Engagement, Donations |
Value Proposition Elevate A/B Testing Price TestRevenue Maximization through Testing Pay What You WantIncreased Customer Engagement, Donations | ||
| Integration Capability | 100+ Platforms & Pagebuilders | Not explicitly stated |
Integration Capability Elevate A/B Testing Price Test100+ Platforms & Pagebuilders Pay What You WantNot explicitly stated | ||
- Conversion Audit
- Speed Audit
- SEO Audit
Conversion Audit
Our Verdict
For merchants seeking a data-driven approach to optimize every aspect of their store, including pricing, Elevate A/B Testing Price Test is the clear choice. Its comprehensive A/B testing features and statistical insights provide a robust platform for maximizing revenue. However, for smaller businesses or those operating in niches where customer willingness to pay is paramount, such as donation-based organizations or businesses offering artistic goods, Pay What You Want offers a compelling solution to increase customer engagement and reduce cart abandonment by providing pricing flexibility.
In short, Elevate A/B Testing Price Test is for strategic, data-focused optimization, while Pay What You Want prioritizes customer empowerment and non-traditional pricing models. A merchant deciding between them should carefully consider their business goals and target audience.
Common Questions
Which app is better for general price optimization?
Elevate A/B Testing Price Test is generally better for price optimization because it allows for controlled A/B testing of different price points to determine the optimal price for maximizing revenue.
Does Pay What You Want offer A/B testing capabilities?
The app description for Pay What You Want does not mention any A/B testing features. Its primary function is to enable customers to suggest their own prices.
Which app is easier to set up?
The Pay What You Want app likely has a simpler setup process due to its focused feature set. Elevate A/B Testing Price Test, with its broader functionality, may require more configuration.
Can Elevate A/B Testing Price Test test the 'Pay What You Want' model?
Potentially, but indirectly. You could use Elevate A/B Testing Price Test to test different messaging or incentives related to a Pay What You Want offer presented outside the core functionality of that offer itself.
Which app integrates with more third-party platforms?
Elevate A/B Testing Price Test explicitly states it integrates with 100+ platforms and page builders. The Pay What You Want app does not specify the number of integrations.
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