Discountly – Smart Discounts and Elevate A/B Testing Price Test are both Shopify apps in the "Pricing" and "Pricing optimization" categories, but they address fundamentally different needs. Discountly focuses on implementing a wide range of discount strategies, including volume discounts, product discounts, upsells, and shipping discounts. It aims to provide merchants with comprehensive control over their promotional offerings. In contrast, Elevate A/B Testing Price Test centers on data-driven optimization through A/B testing of various store elements, including pricing, shipping rates, themes, and content. The primary difference lies in their approach. Discountly is a tool for *executing* discount strategies that merchants already have in mind, while Elevate is a tool for *discovering* the most effective strategies through experimentation. Discountly’s strength is in its versatility and the number of discount types it supports. Elevate’s strength is in its ability to provide statistically validated insights to maximize revenue and profit. This makes Discountly appealing to merchants who are comfortable manually setting up discounts based on their understanding of their customer base, while Elevate appeals to merchants who prefer a more data-driven, experimental approach to optimization.
0 reviews
76 reviews
Manage custom discounts and Upsell on 15 different criteria with our all-in-one Discountly
All-in-one AB testing: optimize prices, shipping, themes, content and more to maximize store profit!
| Rating | 0/5 | 5/5 |
Rating Discountly – Smart Discounts0/5 Elevate A/B Testing Price Test5/5 | ||
| Reviews | 0 | 76 |
Reviews Discountly – Smart Discounts0 Elevate A/B Testing Price Test76 | ||
| Core Function | Discount Implementation | A/B Testing & Optimization |
Core Function Discountly – Smart DiscountsDiscount Implementation Elevate A/B Testing Price TestA/B Testing & Optimization | ||
| Discount Strategy | Manual Configuration (15 criteria) | Data-Driven Discovery |
Discount Strategy Discountly – Smart DiscountsManual Configuration (15 criteria) Elevate A/B Testing Price TestData-Driven Discovery | ||
| Key Features | Volume discounts, upsells, Buy X Get Y, shipping discounts | A/B testing prices, shipping, themes, segmentation, 100+ integrations |
Key Features Discountly – Smart DiscountsVolume discounts, upsells, Buy X Get Y, shipping discounts Elevate A/B Testing Price TestA/B testing prices, shipping, themes, segmentation, 100+ integrations | ||
| Target Merchant | Merchants with pre-defined discount strategies | Merchants seeking data-driven profit maximization |
Target Merchant Discountly – Smart DiscountsMerchants with pre-defined discount strategies Elevate A/B Testing Price TestMerchants seeking data-driven profit maximization | ||
| Ease of Use (Inferred) | Potentially simpler setup for specific discount types. | Focus on simplicity and sophistication, suggesting ease of use despite complexity. |
Ease of Use (Inferred) Discountly – Smart DiscountsPotentially simpler setup for specific discount types. Elevate A/B Testing Price TestFocus on simplicity and sophistication, suggesting ease of use despite complexity. | ||
| Value Proposition | Increased sales through versatile discounts and upsells | Maximized revenue and profit through A/B testing and insights |
Value Proposition Discountly – Smart DiscountsIncreased sales through versatile discounts and upsells Elevate A/B Testing Price TestMaximized revenue and profit through A/B testing and insights | ||
For merchants looking to quickly implement a wide range of pre-determined discount strategies, Discountly – Smart Discounts might seem appealing due to its feature set. However, the lack of reviews and a zero rating raise significant concerns. It's difficult to recommend it without any validation. Elevate A/B Testing Price Test, on the other hand, is a strong recommendation for merchants seeking to optimize their store through data-driven experimentation. Its high rating and numerous reviews suggest a reliable and effective solution.
If a merchant is unsure which discounts will be most effective or wants to continuously improve their store's performance, Elevate A/B Testing Price Test is the clear choice. If a merchant is set on specific discount strategies and is willing to take a risk on an unproven app, *and* they have a strong analytics system outside of the app to measure its effectiveness, they could *potentially* consider Discountly, but should proceed with extreme caution and thorough testing.
While both apps aim for ease of use, Discountly may appear simpler for setting up specific discount types. However, Elevate's focus on simplicity and sophistication, combined with its comprehensive documentation (inferred, but typical for well-reviewed apps), likely makes it easier to manage the entire A/B testing process effectively, even with its greater complexity.
Elevate A/B Testing Price Test offers better long-term value because it provides continuous optimization and learning. By constantly testing and refining strategies, merchants can achieve sustained improvements in revenue and profit. Discountly's value is limited to the effectiveness of the initial discount strategies implemented.
No. Discountly focuses on implementing discounts, not analyzing their effectiveness. While merchants can track sales data, they won't have the statistically validated insights and A/B testing capabilities offered by Elevate. They would need a separate, robust analytics platform to assess Discountly’s performance.
Elevate A/B Testing Price Test is likely the better choice for a new store. New stores often lack a clear understanding of their customer base and optimal pricing strategies. Elevate's A/B testing capabilities can help them quickly identify winning approaches and avoid costly mistakes. A new store might benefit more from understanding its customers than simply pushing discounts.
Using both is a good strategy, but due to Discountly’s lack of validation, it’s better to first establish a baseline and understand customer behavior with Elevate. Then, with data in hand, you can carefully and strategically choose a validated alternative to Discountly. At the very least, you'll have data to help you know when a discount experiment is working, or not.
Run audits for SEO, CRO, PageSpeed, and AI visibility. Get a clear report and actionable fixes.
Try Fix My Store