전체 평점
4.8
평점 수준당 개수
  • 평점의 88%가 별 5개입니다
  • 평점의 3%가 별 4개입니다
  • 평점의 3%가 별 3개입니다
  • 평점의 1%가 별 2개입니다
  • 평점의 6%가 별 1개입니다
2019년 10월 2일

Great app, we are managing 3 stores and this app makes managing our feeds a breeze. The support team is super helpful, showing us screencasts, giving ups tips. The app has a lot of features allowing us to manage all our feeds into one single interface!

ATTITUDE
캐나다
앱 사용 기간 6개월
2022년 10월 3일

This service is amazing...data feeds are such a complex topic and Marvin helped me get started moving from one platform to Shopify. Onboarding was great! I look forward to updating all our feeds for social stores next.

Velvet Heart Clothing
미국
앱 사용 기간 6개월
답글 DataFeedWatch개 2022년 10월 13일

Hello! Thank you very much for your review! We agree, managing data feeds is a very complex process. But with the help of the right tool, you can do the magic yourself. Also, anytime you need help, don't hesitate to reach out :)

Ewa/DataFeedWatch

2019년 8월 30일

Magdalena was very helpful - great software and great support. Been using for a couple of months and highly recommend!

Just Miniatures
영국
앱 사용 기간 6개월
2022년 9월 6일

Great app, great support. Using DFW for multiple Google feeds and plans to expand to other price comparison sites as their tool makes it easy.

K&B Audio
영국
앱 사용 기간 6개월
답글 DataFeedWatch개 2022년 9월 12일

Hi! Many thanks for your great review! We’re happy to hear that our tool helps you improve your experience with data feeds. Contact our support anytime you need our help!

~Ewa/DataFeedWatch

2022년 7월 1일

Big fan of DataFeedWatch, Marvin from their team went above and beyond helping us set up our feed. We went through step by step and solved all of our data issues.

AnaOno
미국
앱 사용 기간 6개월
답글 DataFeedWatch개 2022년 7월 6일

Hello! It’s great to hear that! Thank you for your appreciation!

~Ewa/DataFeedWatch

2020년 1월 31일에 편집됨

This app works well for our goals of providing an easy to manipulate feed that meets Google Shopping requirements. That is the tip of the iceberg of what Data Feed Watch can do. I'm also using it on other platforms. I was very satisfied with the customer service for learning to use their product and appreciated everything they did to make it a successful launch.

Shoelaces Express
미국
앱 사용 기간 5개월
2019년 1월 24일

Awesome app and excellent support service. The datafeedwatch is very helpful to us, it solved all requirement of other channel, and the support team is nice and kind. Thank you Keith.

BlazeVideo
중국
앱 사용 기간 5개월
2022년 12월 5일에 편집됨

I used this app to manage the data feed for Google Shopping ads and it really helps a lot. Generally speaking, it works good, but it is not easy to use for beginners since it uses some different terms than usual (like mapping rather edit or change); however, their representatives (Claire, Edgars) help a lot with this. Recently we had some issues with the sale_price setup. After chatting with their customer service representative (Tetiana), I fixed the issue immediately. The inconvenience is the time difference: sometimes they are offline while I'm working. Hope they can provide 24-hour customer service.

Matt & Nat Canada
캐나다
앱 사용 기간 5개월
답글 DataFeedWatch개 2022년 7월 14일

Hi! Thank you for your rating! Yes, we all know that data feed optimization may seem overwhelming at the beginning. Whenever you have problems or find something difficult, we will be there to help you. Just contact our support team :)

~Ewa/DataFeedWatch

2019년 2월 1일

This is the perfect feed solution. Excellent support and they are always there to answer any question and provide a resolution very quickly. I am a very satisfied customer and look forward to working with this company.

Smart Buy CCTV
영국
앱 사용 기간 5개월
2022년 12월 7일

Nice product. Good dashboard.
Wonderful and quick support.
Have had excellent support from both Edgar and Joan on different questions.

Petnet
덴마크
앱 사용 기간 5개월
답글 DataFeedWatch개 2023년 1월 18일

Thank you so much for your kind feedback! We're happy to hear that you're enjoying our app and support. In case you need assistance, please don't hesitate to reach out to us again!

~Milosz / DataFeedWatch