Blockly Fraud Filter vs Zigpoll Customer Surveysfor Shopify (2026)
Blockly Fraud Filter and Zigpoll Customer Surveys, while both categorized under 'Operations' in the Shopify App Store, serve fundamentally different purposes for merchants. Blockly Fraud Filter is a security-focused app designed to help merchants mitigate fraudulent orders by creating custom rules to identify and potentially cancel suspicious transactions. Its strength lies in its rule-based filtering and fraud prevention capabilities, particularly beneficial for merchants facing chargeback issues. Zigpoll Customer Surveys, on the other hand, is a customer feedback and analytics tool that enables merchants to gather insights through various survey types, including post-purchase, pre-purchase, and NPS surveys, delivered via on-site interactions, email, or SMS. The primary difference lies in their objective. Blockly focuses on protecting revenue by preventing losses from fraud, whereas Zigpoll focuses on increasing revenue by improving customer experience and optimizing marketing spend based on customer feedback. Zigpoll also offers AI analytics and integration with marketing stacks, enhancing its ability to provide actionable insights from collected data. The ease of use is likely similar for both given the 'no-code setup' claim in Zigpoll's description and the emphasis on straightforward rules in Blockly's description, although this is speculative based on the available information.
At a Glance
Blockly Fraud Filter
1 reviews
Zigpoll Customer Surveys
417 reviews
Detailed Overview
Blockly Fraud Filter
Blockly helps reduce chargebacks by identifying and stopping orders that may be fraudulent
Key Features
- Add an extra layer of security
- Alert you to potentially fraudulent orders or cancel them automatically
- Create filters for specific customers
- Create filters for customers referred from particular websites
- Create filters for certain credit card brands
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 | 5/5 | 5/5 |
Rating Blockly Fraud Filter5/5 Zigpoll Customer Surveys5/5 | ||
| Reviews | 1 | 417 |
Reviews Blockly Fraud Filter1 Zigpoll Customer Surveys417 | ||
| Core Function | Fraud Prevention | Customer Surveys & Analytics |
Core Function Blockly Fraud FilterFraud Prevention Zigpoll Customer SurveysCustomer Surveys & Analytics | ||
| Target Audience | Merchants concerned about fraudulent orders and chargebacks | Merchants focused on improving customer experience and optimizing business decisions |
Target Audience Blockly Fraud FilterMerchants concerned about fraudulent orders and chargebacks Zigpoll Customer SurveysMerchants focused on improving customer experience and optimizing business decisions | ||
| Key Feature 1 | Rule-based filtering of orders | Post-purchase surveys with AI analytics |
Key Feature 1 Blockly Fraud FilterRule-based filtering of orders Zigpoll Customer SurveysPost-purchase surveys with AI analytics | ||
| Key Feature 2 | Automatic cancellation or flagging of suspicious orders | Multilingual and customizable surveys |
Key Feature 2 Blockly Fraud FilterAutomatic cancellation or flagging of suspicious orders Zigpoll Customer SurveysMultilingual and customizable surveys | ||
| Value Proposition | Reduce financial losses due to fraud | Gather customer insights to optimize business and marketing strategies |
Value Proposition Blockly Fraud FilterReduce financial losses due to fraud Zigpoll Customer SurveysGather customer insights to optimize business and marketing strategies | ||
| Ease of Use | Straightforward, rule-based features | No-code setup in seconds |
Ease of Use Blockly Fraud FilterStraightforward, rule-based features Zigpoll Customer SurveysNo-code setup in seconds | ||
Our Verdict
The choice between Blockly Fraud Filter and Zigpoll Customer Surveys depends heavily on the merchant's primary needs. If a merchant is experiencing a high volume of fraudulent orders and chargebacks, Blockly Fraud Filter is the more suitable option, providing tools to proactively prevent fraud. However, if a merchant is primarily focused on understanding customer preferences, improving customer satisfaction, and optimizing their marketing efforts, Zigpoll Customer Surveys is the better choice.
Given the low number of reviews for Blockly Fraud Filter, it may be a newer app or cater to a smaller niche. Merchants considering Blockly should carefully evaluate its features and potentially contact the developer for more information. Zigpoll's higher review count suggests a more established user base and a potentially more reliable solution for customer surveys and analytics.
Common Questions
Which app is easier to set up?
Based on the descriptions, both apps seem to offer relatively easy setup. Blockly focuses on straightforward, rule-based features, while Zigpoll boasts a 'no-code setup in seconds'.
Which app is more proactive?
Blockly Fraud Filter is more proactive in preventing issues, automatically cancelling or flagging suspicious orders. Zigpoll is more reactive, gathering feedback after customer interactions.
Does either app integrate with marketing platforms?
Zigpoll explicitly mentions integrations that connect seamlessly with Shopify and your marketing stack. Blockly does not mention specific integrations in its description.
Which app is better for a new Shopify store?
For a brand-new store, Zigpoll might be more beneficial initially to understand customer preferences and tailor the experience. However, if the new store sells high-risk items prone to fraud, Blockly may be necessary from the outset.
How can the 'Operations' category apply to both apps?
Both apps improve a store's operational efficiency. Blockly streamlines order processing by automating fraud detection, while Zigpoll optimizes business strategies based on customer data, streamlining marketing and product development efforts.
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