Bing Shopping ads updates include multiple images, product status reporting & more

Bing Ads announced some new features and capabilities for Bing Shopping campaigns on Tuesday.
Heres’s a rundown of what’s new.
Show multiple images
Marketers can now include multiple image URLs in their product feeds to show a product from different angles, for example. Multiple images will begin to show in Bing Product Ads by the end of April.
Advertisers can now show multiple images in Bing Shopping.
You can add up to 10 image URLs in the optional [additional_image_link] in your product feed, separated by a comma delimiter.
Images must be bmp, gif, exif, jpg, png or tiff. The recommended minimum size is 220 pixels by 220 pixels, and the maximum allowed is 3.9 MB. As always, product images cannot contain watermarks or free shipping text.
Product status reporting
Four new columns are now available in the Product Groups reporting grid in the Bing Ads UI.
The Products Submitted column shows the number of products that were uploaded to Bing Merchant Center. Of those submitted, the

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Bing Ads Editor getting support for account level ad extensions

Bing Ads rolled out account level ad extensions in September 2017, allowing advertisers to assign an extension across all the campaigns in an account. Now, there is finally starting to be support for them in Bing Ads Editor.
Starting with callout extensions, advertisers will be able to associate account-level ad extensions in Editor as shown in the screen shot below.
Bing Ads Editor will support account-level ad extensions.
You’ll need to select the account level in the navigation in the upper right to access account-level extensions. And, as with shared library updates, account level ad extension associations are always posted, regardless of whether all campaigns or selected campaigns are being posted.
Support for other extensions at the account level will be rolling out in the near future.
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Bing ‘intelligent search’ capabilities continue to expand, include facts from multiple sources

Bing has announced several upgrades to its AI-powered intelligent search capabilities. Bing first launched intelligent search in December, bringing artificial intelligence to deliver richer search answers, and enhance image and conversational search.
Now, Bing is launching more intelligent search features with:

Aggregated facts across multiple sources.
Hover-over definitions for uncommon words.
Multiple answers for how-to questions.
Object detection for all common top fashion categories.
Using Intel’s FPGA chips allows Bing to quickly read and analyze billions of documents across the entire web and provide the best answer to your question in less than a fraction of a second.

When searching for facts, Bing may show information from multiple sources, all in one featured snippet. Here is a screen shot:
Bing will offer facts pulled from multiple sources with an expansion of intelligent answers.
Also, if Bing recognizes a word in a featured snippet that isn’t common knowledge, it will show its definition when the user hovers over it with the mouse cursor:
Bing is providing definitions to uncommon

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Bing has confirmed support for JSON-LD formatted Schema.org markup

Bing has confirmed that it is actively building out verification tools within its Webmaster Tools set to enable verification of schema.org structured data markup that is in JSON-LD format. Existing support includes validation for schema.org markup in Microdata or RDFa format only.
After seeing this tweet from CBSi’s Jon Henshaw, we reached out to Bing for comment, and Bing’s Head of Evangelism Christi Olson confirmed: “Yes, Bing does support JSON-LD.”
Olson further added:
“Bing has been using JSON-LD as a signal, but we are still building out the verification tools as part of the Webmaster Tools offering.”
Olson was unable to provide a time frame for when this will be available to webmasters. We’ll follow up when the new tool’s availability is live and formally announced.
The post Bing has confirmed support for JSON-LD formatted Schema.org markup appeared first on Search Engine Land.

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Bing Entity Search API is now available

Bing announced that their Bing Entity Search API is now available to US based users and also in Australia, Brazil, Canada, France, Germany, India, Italy, Mexico, Spain and the United Kingdom regions.
The Bing Entity Search API lets developers and creators programmatically pull in Bing Knowledge Graph structured data on topics such as people, places, things, and local businesses into their platforms and tools – similar to what you can do with Google’s Knowledge Graph Search API. It can be used on programs such as mobile or web applications, blogs, or web sites. You can preview the output from the API right over here by typing in a query into the search box and hitting enter.
For example, I searched for [times square] and the API returned this data and preview:

The JSON output is exposed by clicking on that tab (shown below):

This information comes from the Bing Knowledge Graph and is currently used in Microsoft products such as Bing.com,

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Who wins? Google & Bing’s ‘Super Bowl ad’ search results are quite different

Searches for “Super Bowl ads” are about to heat up as we head into Sunday. People turning to Google and Bing for information about the official Super Bowl Lii commercials will find very different treatments of the results on each of the engines.
Here’s a look at how those results compare. Going in alphabetical order, we’ll start with Bing.
Bing’s carousel of Super Bowl ads
Whether people are searching Bing on desktop or mobile, they’ll see a carousel at the top of the results featuring Super Bowl Lii commercials.
Clicking on any of the thumbails in the carousel brings up the search results for the specific ad including a video player to watch the commercial. The carousel remains at the top of the page so users can easily navigate to more of the commercials.

Below the carousel is a list of related searches and news results about the query “Super Bowl Ads”.
Here’s how the results look on mobile:
Bing is not serving any paid

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Merkle Q4 2017: Search ad click growth fell, ad spend rose 23% across Google, Bing, Yahoo

Overall, in Q4 2017, search ad click volume growth slowed by 9 percent as the average cost per click (CPC) increased 14 percent. Spend rose 24 percent year over year. Engagement and conversion performance from search ads improved, however, and clicks from phones accounted for 50 percent of all clicks for the first time. Those are among the findings reported in Merkle’s Q4 2017 Digital Marketing Report.
Source: Merkle
These search ad trends are consistent with the Q4 performance trends reported by Marin Software last week.
Google ad spend growth slowed slightly from Q3
Spending on Google search ads increased 23 percent overall year over year in Q4 2017. Retail and consumer goods spending on search ads rose 24 percent during the holiday season, according to Merkle’s Q4 2017 Digital Marketing Report.
That growth in search ad spend is actually a slight deceleration from Q3. Search spend jumped 38 percent on mobile and 21 percent on desktop. Click volume growth slowed sharply to 8

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Marin: Search CPCs outpaced spend growth in Q4 2017

Paid search spending increased by just over 10 percent year over year in Q4 2017 across Marin Software’s customer base. CPC growth doubled that of overall spend with an increase of roughly 20 percent year over year.
Mobile CPCs increased 25 percent year over year, accounting for 53 percent of total spend. Google took 89 percent of search spend share, with 11 percent going to Bing. The findings are part of Marin’s Q4 2017 Digital Benchmarks Report highlighting some of the key metrics realized across the accounts running campaigns through the platform.
Click volume was off roughly 7.5 percent from Q4 2016, while click-through rates increased from roughly 1.75 percent to more than 2.5 percent.
Source: Marin Software
Given the holiday season, it’s not surprising to see investment and activity in Shopping ads increase. Marin saw Google Shopping ad click share increase by 31 percent from Q3 to Q4 2017.
Looking more closely at CPCs by industry, education continues to stand out,

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5 (less obvious) PPC trends to watch in 2018

In closing out our big recap of all the big 2017 trends and changes in PPC, I predict we’ll see trends in artificial intelligence, audience targeting, attribution and local marketing continue to develop in 2018.
Those are all exciting areas, but that’s not a particularly earth-shattering prediction. Here is a look at five trends that are related but slightly askew from the major themes that will play out in paid search over the coming year.
1. Structured data will matter even more
It’s not just for SEO, and I suspect we’ll be talking about structured data much more on the ads side in 2018. Cindy Krum makes the case in her (must-read) column on mobile SEO predictions for 2018 that structured data will become a bigger factor in the year ahead as the mobile-first index rolls out. Krum primarily discusses Schema markup, but advertisers also provide files of structured data via product feeds in Merchant Center and Business data feeds

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Bing announces AI-powered new ‘intelligent search’ features

At Microsoft’s AI event yesterday in San Francisco, the company showcased its vision for AI-enabled computing, as well as its AI differentiation strategy. The latter essentially boils down to three big ideas: making AI-supported software broadly accessible to people to improve “everyday” experiences, the seamless combining of work and personal functionality in the same tools and the intention to be an ethical AI company.
Microsoft showed how AI and machine learning are now supporting its marquee products, from Windows to Office 365 and Bing. The most impressive demonstration of the day (from a self-interested perspective) featured AI-guided and automated design suggestions in PowerPoint.
There were several Bing-centric AI announcements, all under the heading of “intelligent search“:

Intelligent Answers
Intelligent Image Search
Conversational Search

Intelligent Answers
Think of this as a kind of “next-gen Featured Snippets.” But what is different and interesting is that Bing is often summarizing or comparing multiple sources of information rather than just presenting a single answer.
If there are competing perspectives on an

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