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How to Remove Products from your Shopping Feed

Posted on March 26th, 2014 by Jacques van der Wilt

There are many reasons why you would like to remove products from your shopping feeds. A few examples:

- Seasonal products
- Unavailable products
- Products with a low price (CPA will exceed gross margin)
- Unprofitable products
- Some products do well on one channel and not on another

At DataFeedWatch we offer 2 ways to remove products from your feed: rules based and individual products. read more

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Segment your Analytics Data: Filter Products and Customize your View

Posted on March 24th, 2014 by Jacques van der Wilt

If you advertise hundreds or thousands of products on several channels, the amount of data may easily become overwhelming. You don’t want to see all data: you want to review relevant data.

We added two very cool tools that enable you to segment your Analytics data accurately:

Filter products

You want to know which products have a great conversion rate, so you can increase your bids for these winners. read more

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Google Shopping Data Feed for Volusion shops – Part 1: Required Fields

Posted on February 3rd, 2014 by admin

In this post you will find instructions on how to create an excellent data feed for Google Shopping using Volusion fields.

The first part concerns the fields required by Google. Volusion merchants probably know that most of their data is not in the format that Google requires. The good news is that most of the fields can be simply mapped without any additional modifications:

  • Id can be mapped from VariantID field
  • title from ProductName
  • description from ProductDescription
  • link from ProductURL
  • image_link from PhotoURL
  • price from ProductPrice
  • brand from ProductManufacturer
  • gtin from UPC_code

Availablity

This field indicates a stock status. read more

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BigCommerce: 10 Amazing Resources to Optimize your Data Feed for Comparison Shopping Engines

Posted on February 3rd, 2014 by admin

bigcommerce1 BigCommerce: 10 Amazing Resources to Optimize your Data Feed for Comparison Shopping Engines

BigCommerce merchants can benefit from full integration with DataFeedWatch. Our software enables them to optimize their data feeds for Google Shopping and many Comparison Shopping Engines in the US, Canada, Mexico, European countries, Russia, India and Australia.

Connect your BigCommerce shop to DataFeedWatch

The first thing you need to do is connect your BigCommerce shop to our data feed management tool. read more

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Analytics: Review the performance of every single product

Posted on January 29th, 2014 by Jacques van der Wilt

We launched the beta-version of Analytics: This is a revolutionary addition to your DataFeedWatch service. Analytics enables you to see your traffic, your conversions and your revenue for each individual product on each channel. Analytics will easily double your RoI.

Analytics is now in beta. That means that you may run into an occasional bug. read more

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How to check your source feed.

Posted on January 9th, 2014 by Jacques van der Wilt

You often need to check what is in your source feed. You know what’s in your store, but still; reviewing the INPUT feed is often the best way to trouble-shoot any problems you have with your OUTPUT feed.

DataFeedWatch offers several ways to check your source feed:

1. Show products

You can see & search all product details in the Show products section

DFW Show products How to check your source feed.
A. read more

Google Shopping Data Feed for BigCommerce shops – Part 1: Required Fields

Posted on January 3rd, 2014 by admin

In this post we are going to focus on creating an impeccable data feed for Google Shopping using  BigCommerce fields.

In the first part let’s cover the fields that are required by Google and how we can map them from BigCommerce.

Good news is that most of the fields you need for Google Shopping feed can be simply mapped from existing BigCommerce fields without any additional modifications:

  • Id can be mapped from variant_id
  • title from name
  • description from description
  • link from url or seo_url
  • image_link from image_url
  • price from price
  • brand from u_brand
  • gtin from u_upc
  • condition from condition

The only field that can sometimes prove a bit tricky here is link. read more

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