Articles on: FeedGeni General FAQs

Top Features in FeedGeni

FeedGeni is an app tailored to suit online store owners looking for mediums to expand and grow traffic to their site. With over 20 comparison shopping engines and marketplaces, store owners have the leverage to ultimately increase sales in their stores. FeedGeni also boasts of the custom feed feature, which will be explained in detail below, to help store owners to advertise their products on shopping sites that are not even listed on the app. In order to help store owners have growing businesses, we’ve come up with useful features that would help customize the app to their taste. Here are the top features of the app.


The Inventory Rule feature can be found under the product rules icon on the dashboard of the app. It was created to be able to make additions to your product feed, especially if your e-commerce platform, like Shopify, doesn’t allow you to add certain fields to your product feed file, but those details or fields are required by your comparison shopping site. Let's assume Shopify doesn’t allow you to add Gender or Age group fields to your inventory, but for store owners who sell apparel, Gender and Age group is a mandatory field when listing your products on Google Shopping. With Inventory rules, you are able to add the Gender and Age group fields to your product data as well as several other fields you might want to add.

Say I sell apparel for both men and women and would want to use the inventory rules to create data for these fields, I would do it like in the image below:

In the image above, I have created a rule that says that if either the title or the description of my product contains “men’s”, the Gender of that product should be set as Male. Now, let’s see how it reflects in my product feed file:

It worked!

So you see how easy it is to create additional fields in your product feed to cater to the fields that are not on your store’s platform. You can follow the same rules to create values for other important attributes like age, weight, among others.


Custom Labels were specifically made to suit our Google customers and other channels that require them in the Datafeed. With Custom Labels, you’re able to populate data into custom label fields in your Datafeed. Custom Labels help you to filter out, or tag (the more appropriate word:) ) products as on clearance, seasonal or promotional sales. With this tag, you’re able to separate them from your actual Datafeed and promote or advertise them differently. So for instance, I’ve got Christmas decor on sale since it’s Christmas, and I want to reduce the prices to clear them. Custom Labels would help me separate all those items and place targeted advertising campaigns on them. See the image below on how it works:


Product Mapping is an important feature in FeedGeni, albeit the least used, as most of the processes are done by default. This feature allows you to map your store’s attributes or column heads to how they are shown in the app. For example, if your platform uses “options” instead of “variants” to identify different variations of products, you could use the product mapping tool to map FeedGeni’s attribute or header “variants” to your store’s header, which is “options”. This ensures that FeedGeni is picking the right information from your store. Please note that users from Shopify do not need to use this feature as all attributes are automatically mapped right from installation.


Our Custom Feed feature is great to create product feeds from scratch for comparison shopping sites or marketplaces that are not currently integrated with FeedGeni. For instance, if you wanted a product feed for Walmart, or Idealo (these are platforms that we currently don’t support), you could use the custom feed feature. The only thing you’ll need to do is to get a file sample from the shopping channel you want to advertise on and then you can go ahead and create the feed from scratch by mapping each field or header in the sample file you’ve collected to FeedGeni’s headers. Let’s say I’m looking to create a feed for a local online shopping site that has a sample file that includes the following headers in the feed file: Product Name, Product Description, product URL, image URL, size, shipping cost, Price, and brand. I go to the Custom feed page on FeedGeni and begin mapping these headers to FeedGeni's headers. It should look like this when I’m done:

After everything, the feed should look like this:

Updated on: 28/12/2022

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