Fraud Filter , 리뷰 210개

전체 평점
2.3
평점 수준당 개수
  • 평점의 31%가 별 5개입니다
  • 평점의 9%가 별 4개입니다
  • 평점의 7%가 별 3개입니다
  • 평점의 8%가 별 2개입니다
  • 평점의 45%가 별 1개입니다
2021년 12월 15일

I want to block some people from placing cash on delivery orders based on their mobile number, as some customers keep on ordering cash on delivery then rejecting the order leading to losses. Shopify should add this feature either in this app or in Advanced cash on delivery app.

FarmMate.in
인도
앱 사용 기간 9개월
답글 Shopify개 2021년 12월 21일

Hi, there. Thank you for taking the time to leave this great review and provide us with this feedback as well. I can certainly see how this idea could benefit our Fraud filter app and would be happy to submit this idea up to our developers for future consideration. Thank's again! -Marty, Shopify Support.

2022년 11월 23일

This isnt terrible, honestly. The only probalem is that you need to set up one rule for email, then another rule for address and another rule for name. The more criteria you have on a rule the less effective it is. This is good at setting up single point rules. Such as email block. But not email + address.

SurplusbyDesign
캐나다
앱 사용 기간 9개월
답글 Shopify개 2022년 12월 30일

Hey, there. Thank you for taking the time to leave us a review for Fraud Filter. We appreciate the feedback you've provided us here. With so many rules, there are times where too many of these rules being in effect may impact a shop's ability to keep all potential fraudsters out. I've gone ahead and passed the feedback you provided us here to our Product Team so they can consider adapting these rules in a future update. I can't comment on what the result of your feedback may be, but you can be confident that our team is aware of your review. Thanks again! -Imogen, Shopify Support

2017년 2월 26일

its very easy to setup and usGreat app

Ezgetone
미국
앱 사용 기간 6개월
2015년 5월 30일

Seems easy enough to use. For existing data perhaps its good, but that seems to mean that you would need to get scammed first before knowing what rule to set?
Would be great if there were some suggested rules that should be used, or maybe you could choose to have your fraud data shared with others so that it can auto-create/suggest some fraud rules for you based on what others are setting

Little Garments
남아프리카
앱 사용 기간 3개월
2013년 2월 21일

If your store is not based in the USA, this is a useless app to detect frauds. It's basically a filter for the data your customer types, it doesn't check credit cards, proxies, phone numbers, addresses and so on. You can't complaint about it though, as it's 100% free. If you're serious about preventing frauds, you need Subuno. Check it out on the app store.

ReaderShop .com.au