DataFeedWatch » Features & Functionality

Sometimes it’s the small stuff that makes our life easier. So we added a very small feature to Analytics: you can now see a picture of every product in the products overview.

A picture says more than a thousand words, so seeing the image in the product table will often be more efficient than reading the Title or the ID.

How to show the images?

Click ‘Customize Columns’ and add a column for one of your image-fields.

An extra column will appear that shows an image for each product.

About DataFeedWatch

DataFeedWatch is data feed management software that enables merchants on Magento, MagentoGO, Shopify, Volusion, 3Dcart, BigCommerce, WooCommerce, and numerous other shopping carts to optimize their product data feed for Google and 200+ Comparison Shopping Engines

The post Product Pictures in DFW Analytics appeared first on DataFeedWatch.

Merchants often want the same data feed optimization for all channels. In DataFeedWatch you can create a feed for one channel, by simply copying the mapping of another channel. That saves a lot of time.

Many DataFeedWatch customers have a few complicated rules. Like mapping color from description, product type from Title, excluding products from 10 different categories or creating categories for 50 different product types. So if your rules apply to all your feeds, it is best to enter these rules once and then copy them to all other channels.

How does Copy Channel work?

Copy Channel is available for Map fields, In/exclude products and Categories:

Map fields

On all pages in Edit feed, there is a pull down in the top right corner that says “Copy from other channel”

When you select a channel from that pull-down, all Map field rules that you created for that other channel, will instantly appear on the Map fields page that you are working on. So you don’t have to create those rules again.
You can still make changes to it (because maybe you only want 90% of the rules to be the same) and you need to save it when you are done.
Please note that all rules that were already in place will be overwritten by the rules that you copied from another channel.

In/Exclude products

This works exactly the same as for Map fields

Not for CSV / TXT / (non-google-) XML

Copy Channel does not work if the source feed is a csv or txt file or an xml-file in any other format than google-xml.

Not all fields can be copied

The field must exist on both channels

If Google has a ‘color’ field and Bing does not, the color-field will not be copied from Google to Bing. Both channels should have fields that may have different names but have identical meanings.

Only the most current fields

There are tens of thousands of fields in the 500+ channels that we offer. It is impossible to link all of them to all others. That is why we have enabled Copy Channel for the fields that are used the most. If you would like to copy a field that is not supported by Copy Channel, you will need to create those rules manually after all.

The post Copy your Data Feed to another Channel appeared first on DataFeedWatch.

We’ve just added a new option for DataFeedWatch users to make life simpler. Now it is possible to review your output data feeds from the dashboard.

The new option is available from the channels view:

On top of that you can quickly switch between the data feeds, customize columns, sort and filter results.

Enjoy datafeedwatchers!

The post Check your data feed before sending it to a channel appeared first on DataFeedWatch.

How can you charge different shipping cost for different regions or methods or delivery times? That is not possible in the Google Merchant Center, but in DataFeedWatch you can!

Only 1 region in the Google Merchant Center

Merchants enter their Tax & Shipping data in their Google Merchant Center (GMC). You get to select an existing carrier (US) or you can enter a flat fee or shipping cost based on weight, number of items or price. That is quite an extensive range of possibilities and it works for many merchants.

Differentiate in DataFeedWatch

Some merchants want to differentiate: they want a different rate depending on
- State
- Delivery speed (1 day or 3 days.)
- Delivery method (air, ground, etc.)

This is how you can do that in DataFeedWatch:

So you can create as many Shipping rates as you want. In the US and Australia you can include regions; Google does not currently allow that for other countries, but you can still create different shipping rates for different methods.

If your feed already includes Shipping information, you can also map it from the appropriate input field.

One thing is very important to keep in mind:

If you add shipping data to your data feed, it will overwrite all Shipping-settings in your Google Merchant Center.

DataFeedWatch is data feed management software that enables merchants on Magento, Shopify, Volusion, BigCommerce, 3DCart and numerous other shopping carts to optimize their product data feed for Google and 200+ Comparison Shopping Engines

The post Different Shipping Rates for different Methods or Regions. New in DataFeedWatch appeared first on DataFeedWatch.

We have made your DataFeedWatch invoices available in your DataFeedWatch account. So now you can download the invoice every month and add it to your administration.

This is what you need to do:

1. Log into your DataFeedWatch account

2. Click ‘My Account’

3. Click ‘Invoices’

The first time you click the Invoice-tab, it may take a couple of seconds, before the invoices appear.

4. Enter your company info (not required) and download your invoice(s)

The post Download your invoices appeared first on DataFeedWatch.

Analytics 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.

How does it work?

Simple: We add tracking code to your product-URLs. That enables us to track data on product level (and for each channel). We then download your Google Analytics-data and present all performance data per product in a simple overview:

How can I get Analytics?

Simple: You click ‘Install’ on the Analytics page.

You will be asked to log into your Google Analytics account and approve the access for DataFeedWatch and to select the right profile.

That’s it!

Mind you: the tracking code will be added from this moment. So it will take 24-48 hours before you see the first results. And it will take a month before you have gathered 30 days of product level data. So start now!

Benefits

Analytics will make your marketing-life so much better:

1. All performance data on a single page

You can review the performance of your products on each channel on a single page. That is so much easier to review and compare than having to log in to every channel.

2. Increase your RoI

The performance of a product category, like bikes or sneakers, may look good. But if you take a closer look (and now you can!), you will see that the average is hiding important data. You can use that data to increase your sales and lower your cost in the following ways:

Nurture your winners

In each category, you will see that (e.g.) 10% of the products get you 80% of the revenue.
Now that you know, you will
a) bid more for your winners
b) only advertise for your winners on the channels where you can only bid per category.

Exclude your losers

In each category, you will see that (e.g.) 30% of the products get a lot of visits but no conversions.
Now that you know, you will
a) improve the conversion funnel or
b) exclude these costly products from your feed:

Excluding products from your feed is the easiest way to stop advertising for unprofitable products; often it is the only way, because most CSEs only enable you to manage categories – not products.

Lower your CPA

In each category, you will see that some products have a good conversion rate, but still the CPA is too high.
Now that you know, you will
a) lower your bids for these products
b) only advertise for the low-CPA products on the channels where you can only bid per category.

Optimize across channels

You can see for every product how it performs on different channels. Some products do well on channel A and not on Channel B or the other way around. Now that you know, you will
a) Exclude each product from its worst performing channel
b) Spend the savings on products/channels with a higher RoI

Price

DFW Analytics is available for only $19 per month per store. This is independent of the number of products in your store or the number of channels in your account.Enjoy!

FAQ: What happens to my own tracking code?

Nothing. It stays as it is. Whether your own UTM-codes were already in the source feed or if you added them in DFW: our Analytics tracking code is added. So: behind yours.

FAQ: My AdWords data is different from your DFW-Analytics data

Yes. That is correct. You know that we use the data from your own Google Analytics account. And even though AdWords and Analytics are both from Google, they do not track exactly the same way. Let me give you a few examples:

Visits vs Clicks

Some visits may be attributed to the All Products target in AdWords, but to the specific product ad in Analytics.
If people click a PLA and then bookmark the page and then return the next day, it counts as 2 visits in Analytics – but only 1 click in AdWords.

Transactions vs Conversions

Analytics assigns a conversion to AdWords, if AdWords ‘provided’ the last click – AdWords assigns all conversions to AdWords if an ad was ever clicked.
AdWords and Analytics have different cookie-times

The post Analytics: Review the performance of every single product appeared first on DataFeedWatch.

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. Or which products get a lot of traffic but no conversions, so you can exclude them from your feed. You may even want to know this per product type or per brand.

This is how you do that:
Click the Filters pull down in the upper left corner and select ‘Create filter’

Then create your filter like this:

You can save your filter if you like, so you can use it again later.
Click Apply and all data on the Analytics page (the graph, the total performance data and the table with will your products) will reflect the filtered products.

Then remove your losers from your feed(s). Read more about Analytics: Review the performance of every single product

Customize Columns

You can customize the layout of the table with all products.
Click the Customize Columns button above the products table:

A customization menu folds out:

On the left you can set what kind of columns you see in the middle: Attributes or Performance. Then you drag & drop the columns of your choice to the right and assemble the columns that will be applied.

As you can see, the columns for ID and Channel cannot be removed from the Applied columns.
Once you click ‘Apply’, you will see that the products table immediately reflects the new layout.
Read more about Analytics: Review the performance of every single product

The post Segment your Analytics Data: Filter Products and Customize your View appeared first on DataFeedWatch.

Those of you who already are using DataFeedWatch might have noticed the word “regexp” in mapping options. In this article I will explain how RegExp can be used in our app, but let’s first clarify what exactly RegExp is.

A regular expression (RegExp for short) is a special text string to describe a search pattern. You can think of regular expressions as wildcards on steroids. You are probably familiar with wildcard notations such as *.txt to find all text files in a file manager. RegExp works on the same principles but can do so much more.

It takes some practice to get the hang of RegExp, but once mastered it comes it very handy. For those who are interested in learning regular expressions I can recommend this tutorial.

Also it is a good idea to test your RegExp before deploying it. There are many online tools out there to do just that. The tool I use is called Rebular.

So let’s move on to real life examples to see how RegExp can be helpful when it comes to feed optimization.

Example 1

Imagine you need to create a field ‘color’ for your Google Shopping feed. You do not have an field for color in your store but you know that all the titles of your products end with a color name (e.g. Adidas Mens Snova Glide 5 Running Shoes Green).

The best way to deal with this situation is to map color from name and use an additional replace rule with RegExp like this:

What it does is:

divide each name into two groups:
group 1 – everything except the last word represented by (.*) where
.* => any single character appearing any number of timesgroup 2 –last word represented by (s[^s]+) where
s => any whitespace character
[^s]+ => any single character except whitespace appearing at least once
Replace existing value which can be described as (.*)(s[^s]+) with a new value which is group 2 (in RegExp taxonomy written as $2)

The outcome of this mapping for “Adidas Mens Snova Glide 5 Running Shoes Green” would be “Green”.

Example 2

Imagine you create a price field for a channel that accepts 2 decimal points (e.g. 12.45) and your prices have 4 (12.4500). Again replace rule with RegExp comes in handy. To fix the format we need to set it like this:

Similarly to the previous example this rule:

divides each price into 2 groups:
group 1 – everything except the last two decimal points ([0-9]+.[0-9]{2}) where
[0-9]+ => any whole number
. => dot character
([0-9]{2} => any 2-digit numbergroup 2 – the last two decimal points ([0-9]{2})
replaces existing value which can be described as ([0-9]+.[0-9]{2})([0-9]{2}) with a new value which is group 1 ($1)

The outcome of this mapping for 12.4500 is 12.45.

Be advised that this mapping does not round up the price to two decimal points, but instead cuts off the last two digits.

Example 3

Let’s say you want to set product_type for Google Shopping as a main category of your products (e.g. Car parts) but in your system you have only the whole category paths (e.g. Car parts > BMW > 320i > 2013).

What you need to do here is remove everything beginning from “ >”. The rule that covers this would look like this:

where
s>.* => any single character followed by “>” followed by any single character appearing any number of times

The outcome of this mapping for “Car parts > BMW > 320i > 2013” would be “Car parts”.

Example 4

For the last example imagine a channel that requires UPCs, but in your system not all products have UPCs and the UPCs that you do have do not all have a proper format (12-digit). If you send a feed with products for which UPCs are empty or improper, the whole feed could be rejected. What you need to do is exclude those products. This can be achieved with a single exclude rule using guess what … RegExp.

What we do here is include only products for which UPC is exactly a 12-digit number. In other words include products only if UPC matches regexp ^[0-9]{12}$

Those are only a few of numberless examples of how RegExp can be used. The rule of a thumb is that whenever there is some complex mapping you need to RegExp is your “weapon of choice”.

If you have any mapping issues please describe them in the comments and I will try to find a proper RegExp to deal with it (if possible).

About DataFeedWatch

The post RegExp – Ninja Level Feed Optimization appeared first on DataFeedWatch.

Sometimes you want to specify exactly which products to exclude: Not all products below $50, but only the ones that are from a certain brand and product type.
We added multiple conditions to our Exclude tab, so you can be as exact as you want to be.

See the rules below:
The first rule lets you exclude all Nike – Basketball products below $50:

You can add as many rules as you want and each rule can have as many conditions as necessary.
Mind you: a rule with multiple conditions means that all conditions (within that rule) have to be met, in order for the rule to apply.

About DataFeedWatch

The post Exclude products from your data feed: Rules with multiple conditions appeared first on DataFeedWatch.

This is the coolest tool for anyone managing cpc-campaigns with variant products: DataFeedWatch Analytics enables you to aggregate the performance data for all variants of the same parent product.

Identifying which products are ‘winners’ and ‘losers’ is a key strategy for managing campaigns on Google Shopping or other shopping channels. Reviewing clicks and conversions on parent level enables you to do that much faster:

Let’s say that you sell sneakers in 6 different sizes. Each size is a variant. If a product has received 100 visits and never got sold, you delete the product from your feed. But an unpopular shoe with 6 variants will cost 6 x 100 = 600 clicks before all variants are removed from your feed.

If size 9 does not sell, size 10 probably won’t do much better. Clicking Show Parent Products, aggregates the data for all 6 variants. By clicking the + sign next to the Parent ID, you can fold out the stats for each variant. Now you can decide to remove the product from your feed after 100 or 200 clicks on all variants.

Viewing Performance Data for Parent Products has proven to be a very effective way to increase conversion rate and bring down CPA.

About DataFeedWatch

DataFeedWatch is data feed management software that enables merchants on Magento, Shopify, Volusion, 3Dcart, BigCommerce and numerous other shopping carts to optimize their product data feed for Google and 500+ Comparison Shopping Engines

The post View Performance Data for Parent Products appeared first on DataFeedWatch.

We just launched a revolutionary solution for feed problems with product images: the ‘Default Image Selector’. It enables merchants to select the best image for each product and include it in their data feeds to Google or any other shopping channel.

The product image is the single most important part of any product ad. The image dominates the ad and people focus on images; less on text. Manually selecting the best image in the shopping cart is too time intensive and A/B testing all images is too costly.

The Solution: Default Image Selector

DataFeedWatch offers the Default Image Selector. It enables you to select the best picture for each product in your data feed.

All products are listed in a table with all images. Each image has a radio button.
So clicking the radio button in front of a picture sets it as default:

DataFeedWatch customers have been able to select the best image for an average of 1,500 products per hour. It is still a tedious job, but it has proven to be a worthwhile investment, resulting in higher CTRs and more sales.

Tiffani Frey, Director of E-Commerce Marketing with US Patriot: We advertise thousands of products on Google Shopping. For many of those, images with the wrong color or with overlay text were showing in the SERPs. Setting the right image in our store was technically possible, but just not feasible for such a large number of products. The Default Image Selector saved the day for us. In a matter of hours we were able to get our best images into our Google feed. That improved our CTR and we have no more products disapproved due to images not meeting Google’s guidelines.

FAQ for the Default Image Selector

Where is the Image Selector?

You can find the Image Selector under Options > Select Default Image

I cannot find the Image Selector

The image selector is not available in the Options menu if you have only 1 image field in your source feed; in that case there is nothing to select from and the Image Selector is disabled. If you are a VOLUSION merchant, the Default Image Selector is currently not available.

How do I map the selected images?

All selected images are saved in a new input field “dfw_images”
So in order to submit the selected images to Google or another channel, map the image-field for that channel to dfw_images and they will show up in your feed.

How can I see color or other attributes ?

When selecting an image, you need to know which product it is. The brown or the blue one? The XL or the XS? So you can easily add a column for color or size or anything else to get the details of every product.

How can I filter products ?

If you want to select a default image for just a part of your products, you can easily filter them. Filter on a category or color or variants-only or anything you want.

Image Selector for CSV – XML – TXT source files

If your source feed is a csv/xml/txt file, you need to identify your image-fields first:

How can I select an image for new products?

You can simply show all products that you recently added, by filtering on a field like ‘date added’ or ‘date created’ or a field that is available for most shopping carts: “added_to_dfw”.

About DataFeedWatch

The post The Default Image Selector: Select the Best Images for your Shopping Feeds appeared first on DataFeedWatch.

You often wonder how many products are in your source feed (the one we download from your store), how many you excluded and how many are in your output feeds. There are several ways to see that:

Number of products in your Source feeds

On the My Shops page, you can see the number of products in your source feed(s) in the column ‘products count’.

Another way of seeing the same number is to click Options > Show products

And you ‘ll see the total number of products right there:

Number of (excluded) products in your output feeds

On the Channels page, you can see the number of products in your output feed(s) in the column ‘products count’. In the next column ‘excluded products count’, you can see how many products you excluded in any of your output feeds.

Please note that this number shows both the products you excluded with rules (in the in/exclude tab) and the ones you paused in DFW-Analytics.

Another way of seeing the same number is to click Options > Show feed

And you ‘ll see the total number of products right there:

About DataFeedWatch

DataFeedWatch is data feed management software that enables merchants on Magento, Shopify, Volusion, 3Dcart, BigCommerce, WooCommerce, and numerous other shopping carts to optimize their product data feed for Google and 500+ Shopping Channels

The post How to see the number of products in your data feeds? appeared first on DataFeedWatch.

We extended DataFeedWatch Analytics with several useful metrics:

Bounce Rate
% new sessions
Pages per session
Average Session Duration

This is extremely helpful in finding out which products do well and which don’t. We explained earlier how to remove products with many clicks and no conversions from your feeds. But since you only want to remove products that have a statistically relevant number of clicks, you end up paying for a lot of clicks before a bad product is paused.

With e.g. bounce rate, you can decide much quicker. If a product only got 30 or 50 clicks and a consistently low bounce rate or time on site, you can tell for sure that something is wrong. You can either go in and fix the problem (price too high, something wrong with the product page, etc.) or remove the product from your feeds.

About DataFeedWatch

The post Bounce Rate and other metrics in DFW-Analytics appeared first on DataFeedWatch.

A while ago we have added a possibility to map a Google Promotions feed in DataFeedWatch. In this post I’m going to explain why and how you can use it.

About Google Promotions

Google Promotions is a program for merchants using Google Shopping. It enables them to add a Promotions to their product ads on Google Shopping.

A Promotion looks like this:

Google Promotions

A promotion like this in the Google search results is very powerful: it gives a store a competitive edge and improves the click-through-rate.
So far, the Google Promotions Program is available in 6 countries: US, UK, France, Germany, Australia and India.

How to get started

Promotions can be sent to the Google Merchant Center in a separate feed. To make the option available however, merchants first need to submit a Merchant Promotions Interest Form.

Once your Google promotions application is approved, there will be an extra feed type to choose in the GMC.
submitting_promotions_feed

Google Promotions feed

The option to add a Google Promotions feed in DataFeedWatch is activated after a Google Shopping channel is added.
nav

The promotion feed can contain multiple promotions, just like product feed can contain multiple products. Each promotion must include the following fields:

Promotion_id – the unique ID of the promotion. It should not contain any spaces or symbols.
If you want to limit the promotion to a specific group of products you need to provide the same promotion id for those products in your standard Google Shopping feed.

E.g. if you create a promotion with promotion_id = ASICS_PROMO, which should apply only to Asics products, then in your Google Shopping feed you would map promotion_id field something like this:
Product_applicability – specifies whether the promotion is applicable to all products or only specific products.
Offer_type – this attribute indicates whether or not a coupon code is required for users to redeem the offer.
Long_title – this is the full title of the promotion. It should describe the promotion completely and accurately. Maximum length is 60 characters.
Promotion-effective_dates – the date and time frame when the promotion is active.
Redemption_channel – Indicates that promotion is valid online.

Once the feed is created in DataFeedWatch it is available under a URL, just like any other feed. This URL can be later provided when adding a promotions feed in the GMC.
URL1

URL2
You can learn more about Google Promotions here: https://support.google.com/merchants/topic/2877465

About DataFeedWatch

The post Google Promotions in DataFeedWatch appeared first on DataFeedWatch.

Sometimes you want to make changes to a number of products that have nothing in common. They are not the same product type or color, no common word in the description, no price-similarities, nothing.

Apply a rule to a few random products

Applying the rule to just a few products is easy: you enter the condition IF ID = … or ‘Matches Regexp 32 | 33 | 34 | But if you want the rule to apply to hundreds or thousands of products, that is too cumbersome.

Apply a rule to many different products: Upload a List

That is why you can now apply any rule to a number of products that are in a list that you can upload. You simply use ‘is in list’ as the condition. You then upload a list with (for example) all IDs of the products that you want the rule to apply to.

This will give you total flexibility to create any rule for any random group of products!

About DataFeedWatch

The post Applying Rules to a Lists of Products appeared first on DataFeedWatch.

IS IN LIST is another small functionality that makes DataFeedWatch great to work with. You can upload a file with products and use those to create rules, like Excluding them from a feed.

Sometimes you need to create a rule for products that have nothing in common. They are from different brands or categories, have different prices, colors or other attributes. So there is not a single rule by which you can capture them. However: you DO have a list.

So now you can make a rule that applies to all products that are in a list:

In this example you have a list (csv-file) with the unique IDs of all the products that you would like to exclude. You make this rule (Exclude IF id is in list) and then click the browse-button to select the file with these IDs. Then click SAVE.

If you later want to quickly see what was in that file, just mouse-over the file name (cursor becomes a magnifying glass) and click:

You will see the content of your csv in an overlay.

About DataFeedWatch

DataFeedWatch is data feed management software that enables merchants on Magento, Shopify, Volusion, 3Dcart, BigCommerce, WooCommerce, OpenCart, and numerous other shopping carts to optimize their product data feed for Google and 750+ Shopping Channels in 40 countries. DFW-Analytics also shows the performance data for every individual product on each channel, so merchants can boost their RoI by quickly identifying and removing unprofitable products.

The post Exclude a List of Products from your Feed appeared first on DataFeedWatch.

DataFeedWatch-Analytics shows you clicks, conversions and revenue for every individual product. You can see which products are unprofitable and remove them from your data feeds with a single click. This way, the unprofitable products are no longer part of your campaigns and your advertising budget will only be spent on products that make you money.

How to boost your RoI with DFW-Analytics

You manage your CPC-campaigns on (sub-) category or brand or a combination, because
a) managing per product would take too much time
b) most channels do not provide you with product level data

With DFW-Analytics you continue to optimize the overall campaign performance but you add another optimization:

1. Find your unprofitable products in 20 seconds

2. Remove unprofitable products wit a single click

Removing products that only cost you money is a big saving. You will no longer waste this part of your advertising budget, but spend it on profitable products instead.

Other Benefits

Identify your winners

You can identify the best performing products the same way. If you know which products get you the most profit, you can increase your bids, improve titles, etc.

All performance data on a single page

You can review the performance of your products on each channel on a single page. That is so much easier to review and compare than having to log in to every channel.

Optimize across channels

You can see for every product how it performs on different channels. Some products do well on channel A and not on Channel B or the other way around.

Price: $0

DFW Analytics is FREE. Gratis. $0 per month per store. Compliments of the guys at DataFeedWatch. Enjoy!

How does it work?

Simple: We add tracking code to your product-URLs & we ask you to install one line of additional Google Analytics javascipt to your site. That enables us to track data on product level (and for each channel). We then download your Google Analytics-data and present all performance data per product in a simple overview:

How can I get Analytics?

Simple: You click ‘Install’ on the Analytics page.

You will be asked to log into your Google Analytics account and approve the access for DataFeedWatch and to select the right profile.

That’s it!

Please note that it will take 24-48 hours after adding the Google Analytics javascript to your site, before you see the first results. And it will take a month before you have gathered 30 days of product level data. So start today!

FAQ: Can I see CPC and CPA as well?

YES, cost data is an extra module that we currently offer to a limited number of beta-users. Ping us if you would like to add that before we officially release it!

FAQ: What happens to my own tracking code?

Nothing. It stays as it is. Whether your own UTM-codes were already in the source feed or if you added them in DFW: our Analytics tracking code is added. So: behind yours.

FAQ: My AdWords data is different from your DFW-Analytics data

Visits vs Clicks

Some visits may be attributed to the All Products target in AdWords, but to the specific product ad in Analytics.
If people click a PLA and then bookmark the page and then return the next day, it counts as 2 visits in Analytics – but only 1 click in AdWords.

Transactions vs Conversions

Analytics assigns a conversion to AdWords, if AdWords ‘provided’ the last click – AdWords assigns all conversions to AdWords if an ad was ever clicked.
AdWords and Analytics have different cookie-times

The post DFW-Analytics: Review the performance of every single product appeared first on DataFeedWatch.

Order Management is a tool that enables Shopify merchants to sync their Amazon orders with their Shopify store. All products sold on Amazon are updated in the Shopify store continuously, so that the number of items available in Shopify is always up-to-date. This ensures that merchants never advertise out of stock products and waste money on clicks that won’t convert. It also saves Shopify merchants time, since they no longer have to manually update Shopify when an item is sold on Amazon. On top of that, merchants can download all order-data from DataFeedWatch.

Why is Order Management so Useful?

Imagine that you are a merchant who reviews and manually updates your feeds from different platforms every evening to determine how many items you’ve sold. At the start of the day, you have 5 t-shirts in stock. Throughout the course of the morning, you sell 4 of these t-shirts on Amazon. However, Shopify thinks you still have 5 t-shirts left in stock, because you have not yet manually updated your account. In the afternoon you sell a further 3 t-shirts on Amazon, and you’ve now sold 2 more t-shirts than you actually have. If you had had an Order Management tool to automatically update your stock then this problem never would have happened. With the Order Management tool, the stock on your feeds will automatically update across Amazon and Shopify to save you the headache of accidentally under-stocking your products.

How do I install Order Management?

Order Management is free to all DataFeedWatch users who have Amazon and Shopify. However, you’ll need to install the tool to begin using it. Here’s how:
Click on the button called “Marketplace Orders” and then select the date from which you wish to begin downloading feeds. If you have previously been handling stock updates across Amazon and Shopify, select today’s date; this prevents you from submitting duplicate updates. Otherwise, pick a historical date from which to begin the download.

Next you must give DataFeedWatch permission to modify information about your product stock.

Your orders will now begin syncing. This could take up to several minutes.

How Do I use Order Management?

Once the tool has been installed, clicking “Marketplace Orders” will bring you to a page that lists all of your recent orders, including order number and customer name, among other characteristics. You can view this information two different ways: by product and by order.

Viewing by product allows you to see all products and their unique SKUs.

Viewing by order displays a single order comprised of one or more products.

Order Managment Screenshot 1

On the left hand side of the screen there is a toolbar with five buttons: All, Unshipped, Pending, Shipped, and Cancelled. These are the same as Amazon’s Order Status Options. Pending orders are those for which the order has been placed but payment verification has not yet occurred. As DataFeedWatch does not send data to Amazon, shipping status must still be manually updated directly on Amazon’s website when an order has been shipped.

The Order Management tool will sync orders from Amazon to Shopify and update this table for your review. You will be able to keep track of all of your orders, and export to XLM if you wish to.

About DataFeedWatch

DataFeedWatch is data feed management software that enables merchants on Magento, Shopify,Volusion, 3Dcart, BigCommerce, WooCommerce, OpenCart, and numerous other shopping carts to optimize their product data feed for Google and 750+ Shopping Channels in 40 countries. DFW-Analyticsalso shows the performance data for every individual product on each channel, so merchants can boost their RoI by quickly identifying and removing unprofitable products.

The post Amazon Order Management for Shopify Users appeared first on DataFeedWatch.

If your data feed contains product data like gross margin, stock, cpc or price-rank, you can optimize your ppc-campaigns very effectively. Merging various sources into one feed enables you to achieve exactly that!

Data driven online marketing

Like most marketing efforts, online marketing is increasingly becoming data driven. Unfortunately the data that you would like to use is never available with the touch of a button. However, when you put enough attention to your data integrity, you can enrich your data easily and optimize your online marketing efforts. DataFeedWatch offers you the possibility to merge numerous feeds together containing product data from different sources or more interesting containing additional information about your products.

Optimize bids by margin

There are quite a few sources that you could use to add relevant information to your product data. Let’s start with your purchasing data or sales administration system, it contains all information needed to generate information like margin by product or product group. Enriching the data of your product input feed offers you various ways to optimize your campaign performance. For example by adding custom labels based on margin categories to your Google feed and use them in your Google Shopping campaigns to set more optimal bids.

Stock accuracy

The availability of current stock data is essential for successfully operating an eCommerce business. The growing number of marketplaces and other channels selling your products make it even more important to organize your stock data flow. Merchants often use a Product Information Management system (PIM), ERP or other tool that contains their stock data. Merging this data with your product data feed and updating your output feeds multiple times a day offers you the ability to instantly stop advertising products with insufficient stock levels and vice versa start selling products that are back in stock. Stop advertising products that are (nearly) out of stock saves you CPC but more importantly prevents from having disappointed customers.

Repricing

Being successful in the hunt for the online consumer is primarily based on offering the right price. Repricing is a very important tool, especially for retailers selling comparable products in a competitive environment. Merchants often use a third-party tool to monitor and update prices based on current competitor data.

Merging repricer data offers various opportunities. For example, excluding all products that have a price rank > 3 and therefore are not among the 3 cheapest, and include them again when their price rank improves. Or include all products if competitor A, B or C is out of stock. And if your price-data is coming from the repricer-app instead of directly from your shop, merging enables you to add the most current price data to your feed.

Web scraping data

Building data feeds for all kinds of channels and marketplaces sometimes requires data that is not in the input feed from your eCommerce platform but ís available on your website. By using a web scraping tool you’re able to harvest the necessary data and merge it with your product data feed based on a unique identifier. This way your still able to build and optimise the best quality data feeds and be competitive!

Cost data

The availability of sufficient relevant data is key for generating useful analytic reports. Merging cost data feeds from the channels and marketplaces that you use, offers you the ability to generate sophisticated analytics reports, but more importantly, enables you to optimize your ROI. For example, comparing your margin to your CPA protects you from wasting budget and use that budget more effectively (more info).

Original author: René Bisschop

About DataFeedWatch

The post The Power of Merging Multiple Data Feeds appeared first on DataFeedWatch.

Your web store is your direct connection to online shopping channels. It has to work for you 24 hours a day, 7 days a week. However, sometimes your online retail activities will become interrupted for various reasons where you are forced to pause your feed downloads. In this blog post, we show you exactly why and how you would pause your feed downloads.

Let’s look at the 4 main reasons why you would want to pause your feed downloads:

Stock-taking: you want to reassess, change or update your stock
Optimization reassessment: you want to “switch off” your campaigns so you can look at ways to further improve your campaign and increase your ROI
Website maintenance: your website is under maintenance or you are migrating to another server
Corrections: your data feeds are incorrect and are being rejected by channels or you need to change things like images, available colors, etc.

Something important to note as this point is that you can only pause your download. So DataFeedWatch will stop downloading the product data from your store. DataFeedWatch will also not upload your channel-feeds via FTP. But if you upload your channel feeds via HTTP, then the channels will still be pulling your feeds from DataFeedWatch. In this case, you would need to go to your Merchant Centre and pause your feeds there as well.

Let’s have a look at how you would pause your feed download using our DataFeedWatch tool (other tools will differ):

Go to your Shop, click on the options button to the right and scroll down the tab to EDIT SHOP.

Click on EDIT SHOP and this will take you to your download schedule.

Scroll down the page to the Schedule and simply change the Schedule status from “active” to “pause.”

Once you click on “Pause” remember to hit the “Update shop” button or your changes won’t be implemented!

Now you can set a reminder so that you don’t forget about the fact that you paused your download. You will also still be charged during pauses, and no products will be downloaded until you reactivate your schedule.

Original author: Amour Setter

About DataFeedWatch

DataFeedWatch is data feed management software that enables merchants on Magento, Shopify,Volusion,3Dcart, BigCommerce, WooCommerce, OpenCart, and numerous other shopping carts to optimize their product data feed for Google and 750+ Shopping Channels in 40 countries. DFW-Analytics also shows the performance data for every individual product on each channel, so merchants can boost their RoI by quickly identifying and removing unprofitable products.

The post How to pause your data feed download? appeared first on DataFeedWatch.

How to show the images?

About DataFeedWatch

How does Copy Channel work?

Map fields

In/Exclude products

Categories

Not for CSV / TXT / (non-google-) XML

Not all fields can be copied

The field must exist on both channels

Only the most current fields

Only 1 region in the Google Merchant Center

Differentiate in DataFeedWatch

One thing is very important to keep in mind:

1. Log into your DataFeedWatch account

2. Click ‘My Account’

3. Click ‘Invoices’

4. Enter your company info (not required) and download your invoice(s)

How does it work?

How can I get Analytics?

Benefits

1. All performance data on a single page

2. Increase your RoI

Nurture your winners

Exclude your losers

Lower your CPA

Optimize across channels

Price

FAQ: What happens to my own tracking code?

FAQ: My AdWords data is different from your DFW-Analytics data

Visits vs Clicks

Transactions vs Conversions

Filter products

Customize Columns

Example 1

Example 2

Example 3

Example 4

About DataFeedWatch

About DataFeedWatch

About DataFeedWatch

Top 3 Image Problems

1. The Wrong Color / Variant

2. Disapproved: Images with Text Overlay

3. The worst picture shows

The Solution: Default Image Selector

FAQ for the Default Image Selector

Where is the Image Selector?

I cannot find the Image Selector

How do I map the selected images?

How can I see color or other attributes ?

How can I filter products ?

Image Selector for CSV – XML – TXT source files

How can I select an image for new products?

About DataFeedWatch

Number of products in your Source feeds

Number of (excluded) products in your output feeds

About DataFeedWatch

About DataFeedWatch

About Google Promotions

How to get started

Google Promotions feed

About DataFeedWatch

Apply a rule to a few random products

Apply a rule to many different products: Upload a List

About DataFeedWatch

About DataFeedWatch

How to boost your RoI with DFW-Analytics

1. Find your unprofitable products in 20 seconds

2. Remove unprofitable products wit a single click

Removing products that only cost you money is a big saving. You will no longer waste this part of your advertising budget, but spend it on profitable products instead.

Other Benefits

Identify your winners

All performance data on a single page

Optimize across channels

Price: $0

How does it work?

How can I get Analytics?

FAQ: Can I see CPC and CPA as well?

FAQ: What happens to my own tracking code?

FAQ: My AdWords data is different from your DFW-Analytics data