Compra Post Purchase Surveys and Reveal: Customer Data & NPS both aim to enhance a merchant's understanding of their customers, but they approach it from different angles and at different stages of maturity in the Shopify app ecosystem. Compra focuses on direct data collection through customizable surveys deployed across various touchpoints like post-purchase, on-site, and even via shareable links. This allows merchants to gather immediate feedback on attribution, NPS, and reasons for drop-offs. Reveal, on the other hand, emphasizes leveraging existing customer data, particularly through RFM (Recency, Frequency, Monetary Value) analysis and automated NPS tracking, to identify high-value customer segments and improve overall customer lifetime value (CLV). Compra seems to be geared towards merchants actively seeking to gather fresh, targeted feedback, while Reveal serves merchants already possessing a significant amount of customer data and looking to extract actionable insights from it. The key distinction lies in the data source and analysis method. Compra provides the tools to *actively* solicit data, enabling merchants to influence the survey experience and gather specific insights. This is invaluable for understanding immediate customer reactions and addressing friction points in real-time. Reveal takes a more *passive* approach, analyzing existing transaction and engagement data to uncover patterns and predict future behavior. This is most useful for refining marketing campaigns, personalizing customer interactions, and optimizing retention strategies. The zero reviews on Compra versus the 64 five-star reviews on Reveal also presents a substantial risk with choosing Compra because you lack social proof.
0 reviews
64 reviews
Create post-purchase, pre-purchase, on-site & link surveys to drive revenue insights
Leverage your Data to Segment, Retain & Acquire better customers. Use NPS & RFM to improve the CLV
| Rating | 0/5 | 5/5 |
Rating Compra Post Purchase Surveys0/5 Reveal: Customer Data & NPS5/5 | ||
| Reviews | 0 | 64 |
Reviews Compra Post Purchase Surveys0 Reveal: Customer Data & NPS64 | ||
| Data Collection Method | Active (Surveys) | Passive (Data Analysis) |
Data Collection Method Compra Post Purchase SurveysActive (Surveys) Reveal: Customer Data & NPSPassive (Data Analysis) | ||
| Key Focus | Gathering Targeted Feedback | Analyzing Existing Customer Data |
Key Focus Compra Post Purchase SurveysGathering Targeted Feedback Reveal: Customer Data & NPSAnalyzing Existing Customer Data | ||
| Core Metric | Attribution, NPS, Drop-off Reasons | RFM, CLV, NPS |
Core Metric Compra Post Purchase SurveysAttribution, NPS, Drop-off Reasons Reveal: Customer Data & NPSRFM, CLV, NPS | ||
| Target Merchant | Seeking direct customer insights, new businesses | Established businesses with existing data |
Target Merchant Compra Post Purchase SurveysSeeking direct customer insights, new businesses Reveal: Customer Data & NPSEstablished businesses with existing data | ||
| Shopify Flow Integration | Yes | Implied, but not explicitly stated |
Shopify Flow Integration Compra Post Purchase SurveysYes Reveal: Customer Data & NPSImplied, but not explicitly stated | ||
| Ease of Use | Potentially easier customization of surveys | Potentially complex data analysis |
Ease of Use Compra Post Purchase SurveysPotentially easier customization of surveys Reveal: Customer Data & NPSPotentially complex data analysis | ||
| Value Proposition | Actionable Insights for immediate improvements in marketing and CX. | Improved customer segmentation for ad campaigns and better customer lifetime value. |
Value Proposition Compra Post Purchase SurveysActionable Insights for immediate improvements in marketing and CX. Reveal: Customer Data & NPSImproved customer segmentation for ad campaigns and better customer lifetime value. | ||
For a new Shopify store or one experiencing significant churn or struggling with attribution, Compra Post Purchase Surveys could be valuable despite the lack of reviews, allowing for targeted data collection and immediate improvements. However, be aware of the risk associated with a new app and limited community support. If, however, a merchant already has a sizable customer base and transaction history and wants to leverage that existing data to identify high-value segments and improve retention, Reveal: Customer Data & NPS is the clear choice. The positive reviews and focus on RFM analysis make it a more reliable option for data-driven customer management. Due to the zero reviews, it is not possible to recommend Compra without significant risk to the merchant.
Compra is likely better for understanding cart abandonment reasons because it allows for targeted on-site surveys to capture immediate feedback from users who are dropping off. Reveal does not provide direct feedback tools like surveys.
Reveal is better for improving marketing ROI because it focuses on customer segmentation using RFM, enabling merchants to target their advertising campaigns more effectively using Meta & Google ads. Compra focuses on improving marketing insights by collecting direct feedback.
Compra explicitly states integration with Shopify Flow. Reveal's description doesn't mention Flow specifically, but similar functionality might be achievable via APIs or other integrations.
It's difficult to say definitively without user reviews for Compra. Reveal, having been around for longer with many reviews, likely has more comprehensive documentation and support resources. The complexity of setup also depends on the merchant's existing data infrastructure. Given Compra's focus on direct surveys, the initial setup *could* be simpler if the merchant is comfortable crafting survey questions.
Reveal is more directly focused on increasing CLV. Its core features, such as RFM segmentation and buying habits reports, are specifically designed to identify high-value customers and optimize strategies for retaining them and encouraging repeat purchases. Compra's survey data can indirectly contribute to increased CLV by identifying and addressing customer pain points.
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