Lucky Orange Heatmaps & Replay and Zigpoll Customer Surveys both offer Shopify merchants valuable insights into customer behavior, but they approach this goal with distinct methodologies and target different aspects of the customer journey. Lucky Orange focuses on providing a comprehensive view of the entire online experience through visual analytics like heatmaps, session recordings, and checkout tracking. Its AI assistant, Discovery, aims to distill actionable insights from this wealth of behavioral data, empowering merchants to optimize site navigation and conversion funnels. Zigpoll Customer Surveys, on the other hand, centers on gathering direct customer feedback through targeted surveys delivered at key touchpoints, including pre-purchase, post-purchase, and abandoned checkout stages. Zigpoll leverages AI analytics to process survey responses, uncovering customer pain points and preferences. The app's seamless integration with Shopify and marketing tools allows for personalized customer experiences and optimized marketing campaigns. While Lucky Orange focuses on observed behavior, Zigpoll focuses on directly solicited opinions and sentiments. Ultimately, both apps contribute to a deeper understanding of the customer. However, one does it by looking at action and the other by asking why.
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| Rating | 4.8/5 | 5/5 |
Rating Lucky Orange Heatmaps & Replay4.8/5 Zigpoll Customer Surveys5/5 | ||
| Reviews | 792 | 417 |
Reviews Lucky Orange Heatmaps & Replay792 Zigpoll Customer Surveys417 | ||
| Primary Focus | Visual Behavior Analytics (Heatmaps, Session Recordings) | Direct Customer Feedback (Surveys) |
Primary Focus Lucky Orange Heatmaps & ReplayVisual Behavior Analytics (Heatmaps, Session Recordings) Zigpoll Customer SurveysDirect Customer Feedback (Surveys) | ||
| AI Integration | AI-powered data insights and anomaly detection (Discovery) | AI-powered survey response analysis |
AI Integration Lucky Orange Heatmaps & ReplayAI-powered data insights and anomaly detection (Discovery) Zigpoll Customer SurveysAI-powered survey response analysis | ||
| Checkout Tracking | Detailed Checkout Event Tracking & Analytics | Abandoned Checkout Survey Campaigns |
Checkout Tracking Lucky Orange Heatmaps & ReplayDetailed Checkout Event Tracking & Analytics Zigpoll Customer SurveysAbandoned Checkout Survey Campaigns | ||
| Customer Engagement Method | Passive Observation | Active Solicitation |
Customer Engagement Method Lucky Orange Heatmaps & ReplayPassive Observation Zigpoll Customer SurveysActive Solicitation | ||
| Target Merchant Type | Merchants seeking broad behavioral understanding across entire website | Merchants prioritizing targeted customer feedback and sentiment analysis |
Target Merchant Type Lucky Orange Heatmaps & ReplayMerchants seeking broad behavioral understanding across entire website Zigpoll Customer SurveysMerchants prioritizing targeted customer feedback and sentiment analysis | ||
| Ease of Use | Likely requires interpretation of visual data. | Simple survey setup, no-code required. |
Ease of Use Lucky Orange Heatmaps & ReplayLikely requires interpretation of visual data. Zigpoll Customer SurveysSimple survey setup, no-code required. | ||
| Value Proposition | Improve website usability, identify friction points, increase conversions. | Understand customer needs, personalize experiences, enhance satisfaction. |
Value Proposition Lucky Orange Heatmaps & ReplayImprove website usability, identify friction points, increase conversions. Zigpoll Customer SurveysUnderstand customer needs, personalize experiences, enhance satisfaction. | ||
For merchants seeking a holistic view of customer behavior across their entire website, including navigation patterns and checkout processes, Lucky Orange Heatmaps & Replay is a strong choice. Its visual analytics provide valuable insights into how customers interact with the store. Conversely, if the primary goal is to gather direct customer feedback at specific touchpoints, such as after a purchase or during checkout abandonment, Zigpoll Customer Surveys is the better option. Its survey-centric approach allows for targeted questioning and deeper understanding of customer motivations. Merchants with simpler websites and a strong focus on customer relationships might favor Zigpoll for its ease of use and direct feedback loop. A larger store might need both for a 360 degree view of its customers.
Both apps can help understand cart abandonment, but in different ways. Lucky Orange allows you to watch session recordings of users abandoning carts to see where they struggle. Zigpoll enables you to directly ask abandoning users about their reasons via surveys.
Zigpoll likely has a quicker setup due to its 'no coding required' claim and survey-focused approach. Lucky Orange, while not overly complex, requires more consideration regarding heatmap placement and interpreting visual data.
Lucky Orange's strength lies in its visual analytics and checkout tracking. Zigpoll's strength is in its AI-powered analysis of customer survey responses. The 'better' analytics depends on the specific insights you are seeking.
Yes, using both apps could provide a comprehensive understanding of your customers. Lucky Orange can identify areas of friction based on behavior, and Zigpoll can then be used to directly ask customers about those friction points.
Zigpoll is likely the better place to start for a new store, because a small business needs customer opinions more than session replay. Knowing what people think will provide more guidance in the short term than seeing where they move their mouse.
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