MIDA: Heatmap, Replay Checkout vs Zigpoll Customer Surveysfor Shopify (2026)
MIDA: Heatmap, Replay Checkout and Zigpoll Customer Surveys both fall under the Operations and Analytics categories on Shopify, but they address fundamentally different needs. MIDA focuses on understanding user behavior directly through visual tools like heatmaps and session replays on the checkout flow, aiming to identify friction points and improve the user experience. Zigpoll, on the other hand, centers around gathering direct customer feedback through surveys delivered at various touchpoints, including pre-purchase, post-purchase, and abandoned checkouts. Zigpoll boasts a slightly higher rating and a significantly larger number of reviews, suggesting broader adoption and potentially stronger overall satisfaction. While MIDA uses implicit data gathered from user behavior, Zigpoll relies on explicit data collected from surveys, allowing merchants to directly ask customers about their experiences and preferences. Zigpoll also highlights its AI analytics for deriving insights from survey responses, as well as multilingual support and Shopify integration capabilities. MIDA’s value proposition centers on its ability to visually identify problems, while Zigpoll enables more in-depth understanding through direct customer feedback.
At a Glance
MIDA: Heatmap, Replay Checkout
248 reviews
Zigpoll Customer Surveys
417 reviews
Detailed Overview
Zigpoll Customer Surveys
Post-purchase, pre-purchase, NPS, on-site, email and sms surveys. Tap insights with AI analytics.
Key Features
- Advanced post-purchase surveys that get quality responses. No coding required.
- Customize and translate every detail. Localize for multiple languages.
- Abandoned checkout campaigns. Uncover common pain points and recover carts.
- Connect survey responses to your Shopify customer and order dashboards.
- Compatible with Shopify's Order Status and Thank You Page Checkout Extensions
Feature Comparison
| Rating | 4.9/5 | 5/5 |
Rating MIDA: Heatmap, Replay Checkout4.9/5 Zigpoll Customer Surveys5/5 | ||
| Reviews | 248 | 417 |
Reviews MIDA: Heatmap, Replay Checkout248 Zigpoll Customer Surveys417 | ||
| Focus | Website Behavior Analysis (Heatmaps, Session Replays) | Customer Feedback (Surveys) |
Focus MIDA: Heatmap, Replay CheckoutWebsite Behavior Analysis (Heatmaps, Session Replays) Zigpoll Customer SurveysCustomer Feedback (Surveys) | ||
| Data Type | Implicit (Observed Behavior) | Explicit (Customer Input) |
Data Type MIDA: Heatmap, Replay CheckoutImplicit (Observed Behavior) Zigpoll Customer SurveysExplicit (Customer Input) | ||
| Key Feature | Checkout Flow Heatmaps and Replays | Advanced post-purchase surveys and AI analytics |
Key Feature MIDA: Heatmap, Replay CheckoutCheckout Flow Heatmaps and Replays Zigpoll Customer SurveysAdvanced post-purchase surveys and AI analytics | ||
| Target Merchant | Merchants focused on optimizing user experience through visual analysis | Merchants focused on directly soliciting customer feedback for data-driven decisions. |
Target Merchant MIDA: Heatmap, Replay CheckoutMerchants focused on optimizing user experience through visual analysis Zigpoll Customer SurveysMerchants focused on directly soliciting customer feedback for data-driven decisions. | ||
| Ease of Use (stated) | Not explicitly stated, but likely requires some time for data analysis | No-code setup in seconds |
Ease of Use (stated) MIDA: Heatmap, Replay CheckoutNot explicitly stated, but likely requires some time for data analysis Zigpoll Customer SurveysNo-code setup in seconds | ||
| Value Proposition | Visually identify areas of friction in the checkout flow. | Understand customer needs and pain points through direct feedback for business optimization |
Value Proposition MIDA: Heatmap, Replay CheckoutVisually identify areas of friction in the checkout flow. Zigpoll Customer SurveysUnderstand customer needs and pain points through direct feedback for business optimization | ||
Our Verdict
For merchants prioritizing immediate, visual insights into user behavior, particularly concerning checkout flow optimization, MIDA: Heatmap, Replay Checkout is likely the better choice. It's suited for those who want to see where users are struggling and make changes based on observed actions. However, for merchants who want a deeper understanding of the 'why' behind customer behavior and are willing to actively solicit feedback, Zigpoll Customer Surveys is superior. Its strengths lie in its customizable survey platform, AI analytics, and ability to target customers at different stages of the buying journey, leading to a potentially more holistic view of the customer experience.
Given Zigpoll's higher rating and review count, its focus on zero-party data, and its AI analytics features, it may be the preferred starting point for most merchants seeking actionable insights. However, a data-driven merchant might find value in using both apps in conjunction: MIDA to identify problems, and Zigpoll to understand the underlying causes and test potential solutions.
Common Questions
Which app is better for identifying reasons for cart abandonment?
Both apps can help with cart abandonment, but in different ways. MIDA can show you where users drop off in the checkout process. Zigpoll can directly ask users why they abandoned their carts through targeted surveys.
Does MIDA offer customer support?
The provided information does not specify whether MIDA offers customer support.
Does Zigpoll integrate with email marketing platforms?
While the description mentions integrations with the marketing stack, it does not specify which platforms are included. Merchants should verify specific integrations before installation.
Is MIDA suitable for analyzing the entire website, or just the checkout process?
Based on the name "MIDA: Heatmap, Replay Checkout", it focuses on the checkout process and may not be suitable for the entire website.
Which app provides more actionable insights for product development?
Zigpoll, with its survey capabilities and AI analytics, is likely to provide more direct feedback for product development by asking customers about their needs and preferences.
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