Wer nutzt diese Software?
DataFeedWatch richtet sich an alle Händler, die auf Einkaufskanälen werben. Von kleinen Online-Shops bis Einzelhandelskonzernen wie Adidas oder PPC-Agenturen.
Durchschnittliche Bewertung46 Bewertungen
- Gesamt 5 / 5
- Benutzerfreundlichkeit 4.5 / 5
- Kundenservice 5 / 5
- Funktionen 4.5 / 5
- Preis-Leistungs-Verhältnis 4.5 / 5
- Startpreis 29,00 $/Monat
- Kostenlose Version Nein
- Kostenlose Testversion Ja
Cloud, SaaS, Web
24/7 (Live Vertreter)
Angaben zum Hersteller
- Gegründet 2008
DataFeedWatch ermöglicht Händlern und Agenturen die Optimierung der Produktdaten-Feeds für Google Shopping und 1.000 weitere Einkaufskanäle in 50 Ländern.
Die Verbesserung der Feed-Qualität erhöht die Leistung ihrer Werbekampagnen auf diesen Kanälen.
DataFeedWatch zeigt auch die Leistung jedes Produkts auf jedem Kanal: Produkte mit schlechter Performance können mit einem einzigen Klick entfernt und der Gesamt-ROI der Kampagne gesteigert werden.
Die hilfreichsten Reviews für DataFeedWatch
Bewertet am 19.4.2018
Kommentare: I was able to reduce the size of my data feed as well as open up virtually every eComm channel that exists without having to create separate feeds for each. More so, DataFeedWatch makes it stupid-simple to slice-n-dice one's data so that channels that have different requirements for syntax, e.g. capitalization or non-capitalized or any of the other many ways that channels seem to make our lives more difficult don't have to be spoon fed separately with separate fields in my input feed for each of the channels with ever so slightly different requirements for exactly the same data! Not only that, I can create fields and their contents out of whole-cloth with a rich range of conditionals which can use individual input fields to generate a static value or modify the contents of a given field's value based on conditions of other fields or business rules I'm able to implement entirely within the DataFeedWatch admin panel. On that last point, I no longer have to concern myself with business rules in deciding what to send to whom, which always resulted in having to have separate feeds generated for each separate channel but with DataFeedWatch, I can build the business rules right into the given channel's configuration and change it on the fly if/when necessary, without ever having to do any more coding or having to worry about effecting any of the other channels.
Vorteile: I've been web-coding applications since before PHP even was thought of and DataFeedWatch admin application is the only web-based application, that I didn't write myself, that has impressed me to the extent that I am almost giddy working with it! It had a bit of a learning curve, which an hour of on-boarding would flatten out to nothing, but once I got familiar with my way around, I was actually able to learn from using the UI/UX how to improve my management of datafeeds and channels to the extent I've never experienced before. I also love the fact that their admin makes it possible to actually reduce the size and complexity of the primary feed we provide to DataFeedWatch by using the admin's very rich feature set of renaming, combining and dynamically creating 'static' values for fields that I would have had to implement in the feed itself. Also, different channels all seem to want the same or similarly named fields to use channel specific syntax, e.g. Google wants 'in stock' for 'availability' while Bing wants 'In Stock' for 'Availability' and eBay accepts either 'Y' or 'N', accordingly, and so previously I had to have three separate fields instead of what I can do with DataFeedWatch which is to use a field that simply contains TRUE or FALSE and then I can use that value to create conditional static values separately as required by each different channel.
Nachteile: I only have two VERY minor nit-picks and they both have to do with the UI/UX. I like that they've adopted some 'guided navigation' in the form of a balloon suggesting to the user to use the 'Review' function to actually look a a given channel's configuration and tell you what is wrong with any of the data that would be going to the specific channel, including actually listing not just 'Your feed is broke' but instead, a summary of all issues found grouped by issue and the count thereof followed by every single row in the feed that has issues pointing out exactly what the issue with that record is. But, that balloon gets annoying when it continually pops up and I have to dismiss it is z-indexed higher than the primary content, which only makes sense but, covers up a portion of the primary content and although one can scroll or dismiss the balloon, it covers up a portion of the primary content. That said, one can dismiss the balloon or, click a link to "Hide these tips" but, it comes back. Likely a configuration issue easily remedied. The other nit-pick is that the support chat window is stuck in the corner of the page and can't be moved which can make discussing an issue on a specific page more difficult because as is usually my luck, what I have issues with is most often hidden by the chat window. True, I can open a new window/tab but, with the quality and utility of the UI/UX as it exists, the balloon and chat window content-blockage stand out like a sore thumb.
Bewertet am 15.5.2019
Can't work without DFW anymore
Kommentare: We use DFW for almost every client. Because we are daily users we now the tricks and can work very quickly. The tool gives us so much efficiency in setting up and improve feeds and also setting up Shopping campaigns as we want.
Vorteile: DataFeedwatch is a very straightforward and easy to use tool! Everything is easy to understand and by doing it once you understand the functions and also learn directly how you can use some functions in other ways and accounts! Beside that, when you have an problem, the support chat is very helpfull and quick in helping you. They are solving your problems for you.
Nachteile: It's not particular an Con of DFW itself but more of tools like this. You need to use them to understand them. The first time you use it it can be a bit hard to make the correct optimyzations. But the support is in that case there for you and willing to help!