New Network Integration: Datafeedr x Digital Advisor

We’re happy to announce a new partnership, this time with Digital Advisor – a leading Nordic affiliate network. Below you find the Digital Advisor merchants currently available in Datafeedr. https://www.datafeedr.com/networks?nid=1200 https://www.datafeedr.com/networks?nid=1201 https://www.datafeedr.com/networks?nid=1202 https://www.datafeedr.com/networks?nid=1203 If you can’t find the Digital Advisor network in the networks section of the Datafeedr API plugin, make sure you’re running the latest […]
How to Geotarget Datafeedr Content With GeoTargetingWP?

We regularly receive support tickets from Datafeedr customers asking whether it’s possible or not to show products or comparison sets based on a visitor’s geographic location. Here are just a few of the questions we recently received… Datafeedr has no built-in geotargeting functionality but that doesn’t mean you can’t geotarget Datafeedr content on your site! […]
How to Monetize Your Website With Datafeedr

Since 2008, Datafeedr has helped thousands of affiliate marketers worldwide monetize their websites. Having the biggest affiliate product database worldwide and a powerful search engine to search across different affiliate networks and excellent tech support Datafeedr has become the number one affiliate datafeed integration service for affiliates worldwide. If you’re new to Datafeedr here’s a […]
Are Your Product Pages Missing the Mark? Here’s How You Can Fix It

All too many affiliate product pages are thin in content and boring. Learn how to up your product description (re)writing game and avoid common mistakes with this guide. Have you worked hard building your affiliate store but still aren’t seeing the conversion rates you had hoped for? It’s possible that your product pages are completely […]
Building a WooCommerce Store Using Affiliate Feeds

A couple of weeks ago I spoke with BobWP on his WP eCommerce Show. You can find that talk here https://wpecommerceshow.com/building-a-woocommerce-store-using-affiliate-feeds-with-eric-busch/ Here are a few of the topics we discussed: What is Datafeedr and how did it come to be? Is it viable to start up an online store with just affiliate products? For new […]
Eric recently featured on the BobWP podcast

I recently appeared on the Do the Woo podcast with BobWP and Brad Williams. We get into Affiliate data feeds, Constant Contact, GraphQL and visual hooks. You can find the show notes and listen to the episode right here: https://bobwp.com/eric-busch-datafeedr-woocommerce/
Add filter to WooCommerce category metabox on Product Set “edit” page

If you have a lot of categories (like I have on geargrabber.net) you may find that scrolling and finding the category you are looking for is time-consuming. Here’s what the default WooCommerce category metabox looks like on a Product Set “edit” page: List of long categories in WooCommerce. You can use the Post Category Filter plugin to […]
Custom WooCommerce Buy Buttons

There are lots of fun things you can do to WooCommerce [Buy Now] and [Add to Cart] buttons. Here I’ll show you a few ways you can customize WooCommerce buttons which appear in The Loop (Shop Frontpage, Shop Category pages, etc…). You can add the code snippets below to a Custom Plugin. If you don’t want to write […]
Price Comparison Sets Plugin for WooCommerce Released Today!

We just launched our new Price Comparison Sets plugin for our WooCommerce/API users! The Datafeedr Comparison Set plugin automatically creates price comparison sets for any product in your WooCommerce store or by using a shortcode. Download now Screenshot of the Datafeedr Price Comparison Set in action!
Normalizing brand names when importing affiliate data feed into WooCommerce

WooCommerce is great for importing data feeds into and using for your datafeed-driven affiliate store. However, one of the frustrations of using data feeds is data inaccuracy. Datafeedr tries to normalize data before it hits our database but we can’t normalize everything. That’s why it’s important for users to be able to normalize information before […]