In 2026, both Segments Analytics by Tresl and Zigpoll Customer Surveys are top-rated Shopify apps in the Operations and Analytics categories. Segments Analytics, positioned as a marketer's best friend, focuses on advanced customer segmentation using AI and data science principles. It aims to provide actionable insights from raw data by identifying profitable customer segments for targeted marketing campaigns. It prioritizes integrations with marketing platforms like Klaviyo and Meta. Zigpoll, on the other hand, is centered around collecting zero-party data through customizable surveys delivered at key customer touchpoints like post-purchase, pre-purchase, and abandoned checkout. It leverages AI analytics to derive insights from survey responses and connect those insights to Shopify customer and order data. While both aim to improve marketing effectiveness, Segments focuses on segment discovery and sync while Zigpoll focuses on survey-based feedback.
60 reviews
417 reviews
The ultimate customer segmentation tool. Built by data scientists to be a marketer’s best friend.
Post-purchase, pre-purchase, NPS, on-site, email and sms surveys. Tap insights with AI analytics.
| Rating | 5/5 | 5/5 |
Rating Segments Analytics by Tresl5/5 Zigpoll Customer Surveys5/5 | ||
| Reviews | 60 | 417 |
Reviews Segments Analytics by Tresl60 Zigpoll Customer Surveys417 | ||
| Core Functionality | Customer Segmentation & Analytics | Customer Surveys & Feedback |
Core Functionality Segments Analytics by TreslCustomer Segmentation & Analytics Zigpoll Customer SurveysCustomer Surveys & Feedback | ||
| Data Source | Shopify Data (transactional, behavioral) | Zero-Party Data (survey responses) |
Data Source Segments Analytics by TreslShopify Data (transactional, behavioral) Zigpoll Customer SurveysZero-Party Data (survey responses) | ||
| AI Focus | Segment Discovery & Insights | Survey Response Analysis |
AI Focus Segments Analytics by TreslSegment Discovery & Insights Zigpoll Customer SurveysSurvey Response Analysis | ||
| Target Merchant | Merchants prioritizing advanced customer segmentation for targeted marketing. | Merchants seeking direct customer feedback for product roadmap, marketing, and conversion optimization. |
Target Merchant Segments Analytics by TreslMerchants prioritizing advanced customer segmentation for targeted marketing. Zigpoll Customer SurveysMerchants seeking direct customer feedback for product roadmap, marketing, and conversion optimization. | ||
| Ease of Use (assumed) | Potentially steeper learning curve due to advanced features. | Likely easier to use due to no-code survey setup. |
Ease of Use (assumed) Segments Analytics by TreslPotentially steeper learning curve due to advanced features. Zigpoll Customer SurveysLikely easier to use due to no-code survey setup. | ||
| Value Proposition | Discover and activate profitable customer segments with AI. | Gather direct customer feedback to improve business performance. |
Value Proposition Segments Analytics by TreslDiscover and activate profitable customer segments with AI. Zigpoll Customer SurveysGather direct customer feedback to improve business performance. | ||
Segments Analytics by Tresl is ideal for merchants who have a strong existing customer base and want to leverage advanced data science techniques to identify high-value customer segments and personalize their marketing campaigns. If you need to drill down and create complex segments based on a variety of conditions, this may be the right fit. Zigpoll Customer Surveys is better suited for merchants who want to actively solicit feedback from their customers to understand their needs, pain points, and preferences. It's particularly useful for businesses looking to optimize their product roadmap, marketing spend, and conversion rates based on direct customer input. If you want to prioritize direct customer feedback over data-driven segment discovery, Zigpoll is the better choice.
Zigpoll likely has a simpler setup process due to its no-code survey creation. Segments Analytics, with its advanced data analysis and AI-powered segmentation, may require more time to learn and configure effectively.
Both can contribute to personalized marketing. Segments Analytics identifies the segments while Zigpoll can provide insights into how to personalize for specific segments.
Segments Analytics explicitly mentions integrations with Klaviyo, Meta, Google, TikTok, and Postscript, indicating a strong focus on marketing tool connectivity. Zigpoll mentions integrations with the existing marketing stack but provides less detail. That said, Segments is dependent on your existing first-party data being accurate.
Segments Analytics provides product journey, affinity, lifecycle, and cohort retention insights, offering a more comprehensive understanding of customer behavior based on their interactions with your store. Zigpoll focuses on behavior in relation to the survey itself, but that information isn't necessarily predictive.
Zigpoll might be more suitable for a small customer base as it actively solicits feedback, allowing you to gather valuable insights even with limited data. Segments Analytics may require a larger dataset to generate meaningful segments.
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