Monday, November 30, 2015

Google Image Search Lets You Save Images For Later With Stars

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Google announced you can now save images to your saved images collection to see them later or save them to your collections.

This feature works across desktop and mobile and is rolling out to US searchers who are logged into their Google account.

Just search in Google Image search, click on the image and then click on the star icon and word Save, it will then save it to your collection:

haircuts images

Then you can view your saved images and then organize them in collections:

groups

This reminds me of Google’s starred results from back in 2000, which replaced SearchWiki. Starred results are no longer around, but Google does let you bookmark local results with a star.

The post Google Image Search Lets You Save Images For Later With Stars appeared first on Search Engine Land.

SearchCap: Building Author Rank, Google’s Car Loan Calculator & L.M. Montgomery Google Doodle

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Below is what happened in search today, as reported on Search Engine Land and from other places across the web.

From Search Engine Land:

Recent Headlines From Marketing Land, Our Sister Site Dedicated To Internet Marketing:

Search News From Around The Web:

Industry

Link Building

Search Marketing

Searching

SEM / Paid Search

SEO

The post SearchCap: Building Author Rank, Google’s Car Loan Calculator & L.M. Montgomery Google Doodle appeared first on Search Engine Land.

SEOs, SEMs, Analysts & Developers: Teams Save Up To 20% At SMX West

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Do you manage the search marketing team at your company or agency? Search Engine Land’s SMX West is the ultimate team building experience, where members will get must-know SEO, SEM, mobile, and conversion optimization tactics at more than 50 sessions and from 100 expert presenters.

  • Is your team sophisticated? Search marketing is constantly changing so there’s always something new to learn and changes to prepare for:
    • Your advanced SEMs can sharpen their skills with the latest tactics for audience targeting, scripts and match types.

    • Your advanced SEOs can develop strategies for coping with Google’s Accelerated Mobile Pages and leveraging the power of Google’s RankBrain machine learning algorithm.

  • Have new members on your team? SMX Boot Camp teaches all the search marketing basics — SEO, SEM, copywriting and link building — in just 1 day;
  • Conversions need a boost? Send your analysts for a deeper dive in KPIs, attribution, and ROI-maximizing tips in the Analytics & Conversion track;
  • Don’t forget the developers. They will learn how to optimize site architecture for maximum search results.

With more than 50 sessions, keynotes, panels and clinics, there’s always a session happening at SMX West that benefits your team members. See the agenda.

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The post SEOs, SEMs, Analysts & Developers: Teams Save Up To 20% At SMX West appeared first on Search Engine Land.

Avoid Hurdles When Working With Multiple Agencies

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Are you a digital marketing professional working with multiple agencies? From PPC to SEO to PR, some companies have a veritable alphabet soup of agencies that each manage very specialized services for businesses.

But all these agencies do not always play nicely. Competing strategies, miscommunications and bottlenecks are just a few reasons that multiple agencies need to align when there is overlap.

The trend of companies working with more than one digital agency likely is not going to slow down anytime soon, and agency growth is on the rise; that means a lot of choices for a lot of companies.

Today, let’s look at a few scenarios that might sound familiar to you when working alongside other agencies. And guess what? The solution to almost every problem in most cases is as simple as communication.

Problem #1: SEO & PPC Clashes

Usually, SEO and PPC work well together to build relevancy, clicks and conversions. But sometimes, when teams on both ends take action without communication, it can cause problems.

When an SEO agency that shares a client with our PPC agency decided to make some changes to the product titles on the client’s website by taking out keywords, it wreaked havoc on the company’s Google Shopping campaigns.

Then came the frantic phone call from the client. Shopping campaign volume had plummeted and left us scratching our heads. We did what we normally do: start investigating with a laundry list of questions.

As you may know, Google Shopping campaigns are tied to the data feed via Google Merchant Center, which pulls information from a website. Any changes to the product pages can directly impact the data feed, which in turn impacts Google Shopping ads.

It was obvious what had happened when we reached the “Have you changed anything on your website?” question. We decided to call up the SEO team. We weren’t sure how invested they were in the changes they were making, so that was an initial concern, but in the end, it was just an oversight on their part.

The crisis lasted all of 24 hours and was a simple fix; however, this is just one scenario that shows how direct and consistent communication between agencies can be key.

Problem #2: Turf Wars

Sometimes larger companies have more than one agency in the same space, which can lead to disjointed results. Case in point: Our paid search agency shares a client with another digital agency, and that digital agency is under contract to provide all the display advertising to the company.

Our client took that to mean that under no circumstances were we to run visual display ads on the Google Display Network (GDN); they would, however, allow one exception: remarketing with text ads on the GDN.

The real kicker is that the other agency isn’t touching AdWords at all, and it’s a shame because time and time again, we see how the GDN can boost overall search PPC performance. Not to mention, we always include display ads within our remarketing campaigns.

But hey, our goal is not to encroach on territory, but rather to do what’s best for the client and work in partnership with others. After a few educationally-based conversations on the benefits of the GDN, the client agreed to do a test case for a specific location only.

This small step was a win. We could then prove the worth of the GDN, and perhaps the client could renegotiate terms with the other agency when the contract was up.

Remember, nothing is clearer than the bottom line, and if you have the chance to improve that but feel others are holding you back, figure out a way to communicate through educational means so you can work together towards the goal.

Problem #3: Creative Blockages

What happens when you’re relying on multiple teams to complete one task? Take, for example, the story of a client who took a really long time to send us their display ads.

The client wanted their creative design team to work on the visuals for the ad, and that team was backed up with other priorities. Yes, we were facing creative blockage.

Time went on, and we decided to take matters into our own hands. We produced an estimate of what it would take for our designer to get the job done, presented it to the client and let them know we would eat the cost just to get the project going.

Strangely enough, that’s sometimes the only nudge a company needs. Whether from pride of ownership or something else, the creative team started working on the display ads right away.

Sometimes if you really want something to happen, and resources are short on the other end, offering a helping hand can make all the difference in getting the ball rolling.

Multiple problems can rear their ugly heads when working with multiple agencies and teams, but I’ve always found direct communication is the best solution — and even better when you can have an open line of communication with the other teams consistently. Unfortunately, that’s not always an option.

In the end, taking a partnership approach, rather than viewing the issue as “us versus them,” will help you think of solutions that can benefit both the company and the other agency.

The post Avoid Hurdles When Working With Multiple Agencies appeared first on Search Engine Land.

How To Build Author Rank Without Google Authorship

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By now, we all know that Google Authorship is dead; John Mueller made the announcement in August 2014.

However, at SMX East 2015, Google’s Gary Illyes said that webmasters and publishers should leave Authorship markup on their page. In a recent Twitter conversation, he also hinted that Google may bring back Authorship — no promises, of course.

Gay Illyves Google Authorship Comments

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Also, it seems Google has started to sunset Google+ which means Google+ profiles may not be around for long. So what is going on here? Why the confusion? Why would Google remove the authorship feature and then recommend leaving the markup on place?

Well, if we try to read between the lines of what’s happening, it seems that while Authorship is dead, Author Rank is not. Google may be recommending to leave the Authorship markup in place because it still drives some level of author signals. It could also mean they may be exploring a new Authorship-like feature, though at this point, we can’t count on that.

So in a post-Authorship world, how can authors build their Author Rank and authority? This can be done by leveraging schema.org’s Person and Article markup and/or by attempting to become an online entity.

In the announcement made by Google’s John Mueller about discontinuing support for Authorship, he highlighted the following:

Going forward, we’re strongly committed to continuing and expanding our support of structured markup (such as schema.org). This markup helps all search engines better understand the content and context of pages on the web, and we’ll continue to use it to show rich snippets in search results.

So Google is placing more importance on structured data. Gaining a Knowledge Graph result means you have become an online entity, which results in a certain authority. Here is an example of blogger Perez Hilton’s Knowledge Graph result.

Perez Hilton's Blogger Knowledge Graph

Structured Data For Authors

Implementing Schema.org Person and Article markup on your content can help build your Author Rank. Marking up your articles and author profiles will not only help Google better understand the content but also feed into the Knowledge Graph. I recommend the following:

Mark up your articles with Schema.org Article markup. Depending on the content type, you can get more specific — there is markup available for news articles, reports, scholarly articles, social media postings and tech articles. (And be sure to check out Google’s resource page for article rich snippets.)

Example Article Markup

Schema News Article Markup

To view the full markup, click here.

Leverage Schema Person markup, highlighting the author element. This markup should be placed on the article page, as well as the author’s profile page. Here’s an example of author profile page: http://ift.tt/1Q8ls03

Example Markup On An Article Page

<body itemscope itemtype=”http://ift.tt/1EZ0ESP;
<div>
<h1 itemprop=”name”>How To Build Author Rank Without Google Authorship</h1>
<p>By <span itemprop=”author” itemscope itemtype=”http://ift.tt/1Q8ls07; itemprop=”url”><span itemprop=”name”>Tony Edward</span></a></span></p>
<p>[Article body]</p>
</div></body>

Example Markup On An Author Profile Page

<div itemscope itemtype=”http://ift.tt/19FHJwQ;
<h1><span itemprop=”name”>Tony Edward</span></h1>
<p><img src=”/images/authors/TonyEdward-lg.jpg” itemprop=”image”></p>
<p>Tony Edward is a <span itemprop=”jobTitle”>Senior SEO Manager</span> at <span itemprop=”worksFor”>Elite SEM</span> and an <span itemprop=”jobTitle”>Adjunct Instructor of Search Marketing</span> at <span itemprop=”worksFor”>NYU</span>. He leads the SEO team at Elite SEM’s New York City office. Tony has been in the online marketing industry for over seven years. His background stems from affiliate marketing and has experience in paid search, social media and video marketing.</p>
</div>

Work Towards Becoming An Online Entity

Take steps to become an online entity and gain a Knowledge Graph entry. You can accomplish this by doing the following:

  • Create a Wikidata.org profile.
  • Attempt a submission to Wikipedia.org.

(Click here for full instructions.)

I would also recommend building citations where possible. Do not spam — rather, look for opportunities where you can insert a profile about yourself and your work. For example, you could build a profile on CrunchBase and link to your work under the News section:

Crunchbase Profile

In closing, keep your Authorship markup in place, as Google recommended, but start leveraging structured data to help boost your Author Rank, and work towards becoming on online entity.

The post How To Build Author Rank Without Google Authorship appeared first on Search Engine Land.

Google Is Testing A Car Loan Calculator Quick Answer Box

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Google is testing a new loan interactive calculator for car payments. This was spotted by both Dr. Pete Meyers and Kyle Sanders recently. It looks and feels a lot like the Google mortgage calculator feature that Google launched in February of this year.

I am personally not able to replicate this but here is a picture from Moz:

google-car-payment-calculator

As you can see, you can enter the loan amount, the interest rate, period of the loan and then Google will show you your monthly payments. You can also toggle to see the maximum loan amount as well.

Will we soon see car loans through Google or maybe a way to buy, lease or finance your new car through Google Comparison AdWords Ads? Maybe?

The post Google Is Testing A Car Loan Calculator Quick Answer Box appeared first on Search Engine Land.

Lucy Maud Montgomery Google Doodle Honors “Anne Of Green Gables” Author On Her 141st Birthday

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Today’s Google logo has been replaced with an animated Doodle honoring children’s book author Lucy Maud Montgomery on what would of been the writer’s 141st birthday.

The Doodle links to a search for “Lucy Maud Montgomery” and includes sharing icons to post the image on your Google+, Facebook and Twitter profiles, or send via email.

Born in 1874 on Canada’s Prince Edward Island, L.M. Montgomery – as she was better known from her book covers – published the first of the Anne of Green Gables series in 1908, turning many 11-year old girls into serious bookworms throughout the years. (Although, as one of those girls with her nose constantly in a book growing up, I was always more partial to Montgomery’s Emily of New Moon trilogy.)

Designed by Doodler Olivia Huynh, today’s Google Doodle was inspired by a specific scene from Anne of Green Gables. It’s one of three animated images Google included on the Google Doodle blog.

Here are all three Doodles Huynh created to honor the famous writer:

LMMontgomery_Google_Doodle2

LMMontgomery_Google_Doodle

LMMontgomery_Google_Doodle3

According to Google, Anne of Green Gables became one of Canada’s bestselling books ever, translated into 20 languages and selling more than 50 million copies to date. Montgomery was named a member of the British Royal Society of Arts and an Officer of the Order of the British Empire.

The post Lucy Maud Montgomery Google Doodle Honors “Anne Of Green Gables” Author On Her 141st Birthday appeared first on Search Engine Land.

Friday, November 27, 2015

Why Everyone Should Be Moving To HTTP/2

HTTP/2

If I told you that your website could load faster, your server could use fewer resources, your developers wouldn’t have to waste time on hacks to increase site speed and you’d get a boost to your rankings all from one simple change, you’d probably call me a liar. If it sounds too good to be true, then it must be, right?

Wrong! The future is here with one of the greatest advancements in web technology in the past 20 years, and the SEO community doesn’t seem to be talking about it.

When Barry Schwartz posted a recap of a recent Google Webmaster Central Hangout in which Google’s John Mueller said that GoogleBot will support HTTP/2 by the end of this year or early next year, I expected a mad scramble and people shouting from the rooftops. Instead, there were crickets throughout the SEO industry.

You should already have switched to HTTP/2 for many reasons, including a tremendous speed increase, which makes for a better user experience, but now there are potential ranking factors on the line, as well.

What Is HTTP/2?

HTTP/2 is the latest update to the HTTP protocol by the Internet Engineering Task Force (IETF). The protocol is the successor to HTTP/1.1, which was drafted in 1999. HTTP/2 is a much-needed refresh, as the web has changed over the years. The update brings with it advancements in efficiency, security and speed.

Where Did HTTP/2 Come From?

HTTP/2 was based largely on Google’s own protocol SPDY, which will be deprecated in 2016. The protocol had many of the same features found in HTTP/2 and managed to improve data transmission while keeping backwards compatibility. SPDY had already proven many of the concepts used in HTTP/2.

Major Improvements In HTTP/2

  • Single Connection. Only one connection to the server is used to load a website, and that connection remains open as long as the website is open. This reduces the number of round trips needed to set up multiple TCP connections.
  • Multiplexing. Multiple requests are allowed at the same time, on the same connection. Previously, with HTTP/1.1, each transfer would have to wait for other transfers to complete.
  • Server Push. Additional resources can be sent to a client for future use.
  • Prioritization. Requests are assigned dependency levels that the server can use to deliver higher priority resources faster.
  • Binary. Makes HTTP/2 easier for a server to parse, more compact and less error-prone. No additional time is wasted translating information from text to binary, which is the computer’s native language.
  • Header Compression. HTTP/2 uses HPACK compressions, which reduces overhead. Many headers were sent with the same values in every request in HTTP/1.1.

There are several demos out there where you can see the difference in action with tiled images. It appears that as the latency increases, the speed increase from HTTP/2 is even more noticeable, which is great for mobile users.

Who Supports HTTP/2?

According to Can I use, HTTP/2 is supported by 76.62 percent of the browsers used by users in the US and 67.89 percent globally. There are a couple of caveats to these numbers, as Internet Explorer 11 only supports HTTP/2 in Windows 10, and Chrome, Firefox and Opera only support HTTP/2 over HTTPS.

You can check how this will affect your website visitors in Google Analytics by going to Audience > Technology > Browser & OS and comparing to the supported browsers.

You’ll also find that most major server software — such as Apache, NGINX, and IIS — already supports HTTP/2. Many of the major CDNs have also added HTTP/2 support, including MaxCDN and Akamai.

HTTPS With HTTP/2

While HTTP/2 supports both secure and non-secure connections, both Mozilla Firefox and Google Chrome will only support HTTP/2 over HTTPS. Unfortunately, this means that many sites that want to take advantage of HTTP/2 will need to be served over HTTPS.

Fortunately, there are new initiatives such as Let’s Encrypt, which goes into public beta on December 3, 2015. Let’s Encrypt is a new certificate authority that is providing free security certificates for websites. It’s a great initiative towards a more secure web.

Improvements For Users With HTTP/2

Speed, speed, and more speed, providing for a better user experience. As time goes on, and people learn the limits of the new protocols, users should see increased speeds on HTTP/2 connections.

What HTTP/2 Means For Developers

With HTTP/1.1, many techniques were used to speed up websites that are no longer necessary with HTTP/2. These optimizations used to take additional development time and were made to cover up inherent flaws in speed and file loading, but they also caused additional issues at times.

  • Domain Sharding. Loading files from multiple subdomains so that more connections may be established. The increase in parallel file transfers adds to server connection overhead.
  • Image Sprites. Combining image files to reduce requests. The file must be loaded before any image from the file can be shown, and the large image file ties up RAM.
  • Combining Files. CSS and JavaScript files are often combined to reduce the number of requests. This makes the user wait for files before any of it can run and consumes additional RAM.
  • Inlining. CSS and JavaScript code, or even images, are placed directly into the HTML, reducing connections but using additional RAM and delays page rendering until the HTML is finished downloading.
  • Cookieless Domains. Static resources like images, CSS and JavaScript files don’t require cookies, so many developers started sending these from a cookieless domain to save bandwidth and time. With HTTP/2, the headers (including cookies) are compressed, so the sizes of the requests are very small in comparison with HTTP/1.1.

For my fellow geeks out there dealing with REST APIs, you will no longer have to batch requests.

Improvements For Servers With HTTP/2

Many of the techniques mentioned above by developers placed additional strain on servers due to extra connections opened by browsers. These connection-related techniques are no longer necessary with HTTP/2. The result is lower bandwidth requirements, less network overhead and lower server memory usage.

On mobile phones, multiple TCP connections could cause issues with the mobile network, causing them to drop packets and resubmit requests. The additional requests just added to the server load.

HTTP/2 itself brings benefits for a server, as well. Fewer TCP connections are necessary, as stated above. HTTP/2 is easier to parse, more compact and less error-prone.

What HTTP/2 Means For SEOs

With GoogleBot adding support for HTTP/2, websites that support the protocol will likely see an additional rankings boost from speed. On top of that, with Chrome and Firefox only supporting HTTP/2 over HTTPS, many websites that have not yet upgraded to HTTPS may see an additional boost in rankings when they do.

I make this last statement with the caveat that many technical items have to be done correctly with HTTPS, or you will likely experience at least a temporary, if not permanent, drop when making the switch from HTTP.

The number one problem I see with sites switching to HTTPS is with redirects — not just 302s instead of 301s, but placement or writing of the redirects, additional hops or chains in the redirects and failing to clean up old redirects. There are many additional items that need to be cleaned up, such as internal links, external links where possible, mixed content, duplication issues, canonical tags, sitemaps, many tracking systems that need to be changed and more.

Let’s not forget what Gary Illyes said:

There are other reasons besides Google ranking signals that your website should be secure. One most people don’t realize is that when switching from a site using security to one without, the referral data in the headers is dropped.

In Google Analytics, this typically means that more traffic is attributed to direct, when it should actually be attributed to referring websites. HTTPS also prevents ads from being injected on your website, as AT&T was recently found doing with their free Wi-Fi hotspots.

We’ve all seen studies on how slow websites affect conversions and cause users to abandon a website, and conversely how site speed increases lead to increased sales and conversion rates. The important thing to note is that HTTP/2 is faster and provides a better user experience.

Google made speed a ranking factor for a reason, and it will be interesting to see if HTTP/2 itself becomes a ranking factor and how much additional weight will be placed on the added speed.

SEOs, developers, server admins, sales teams and pretty much everyone else should be getting the ball rolling with implementing HTTP/2. There is no downside to upgrading, since if a user cannot load the site over HTTP/2, they will load it just like they always have. Shout from the rooftops with me, or on Twitter:

“Everyone should be making the move to #http2!”

A final note, and an interesting thought from a conversation I had recently with Bill Hartzer at Internet Summit, is that Google may be pushing for HTTPS and only supporting HTTP/2 over HTTPS in Chrome because this will actually eliminate some of the competition from competing ad networks.

Bill said he couldn’t take credit for this idea, but it does make sense. A lot of the smaller networks don’t support HTTPS, so by recommending HTTPS and only supporting HTTP/2 over HTTPS, they are likely gaining more market share in the ad space.

The post Why Everyone Should Be Moving To HTTP/2 appeared first on Search Engine Land.

Search In Pics: GoogleBot In Snow, Google Pet Toys & John Mueller In Star Wars

In this week’s Search In Pictures, here are the latest images culled from the web, showing what people eat at the search engine companies, how they play, who they meet, where they speak, what toys they have and more. World’s Largest Android Marshmallow Mosaic:

Google John Mueller Star Wars:

Google John Mueller Star Wars
Source: Google+

Google Pet Toy:

Google Pet Toy
Source: Google+

GoogleBots Playing In The Snow:

GoogleBots-SNow
Source: Google+

The post Search In Pics: GoogleBot In Snow, Google Pet Toys & John Mueller In Star Wars appeared first on Search Engine Land.

Thursday, November 26, 2015

Thanksgiving Google Doodle Features “Three Sisters” Of North American Crops: Corn, Beans & Squash

Google thanksgiving logo 2015

Today’s Thanksgiving Day Google logo is based on the “three sisters” of North American agriculture: corn, beans and squash, and was created by guest Doodler Julia Cone using a papercraft technique.

“In the end, I hope that viewers will enjoy the craft of cut paper as an art from in a digital space,” says Cone on the Google Doodle Blog.

The colorful logo marking today’s holiday leads to a search for “Thanksgiving” and includes “Happy Thanksgiving 2015” sharing icons for Twitter, Facebook, Google+ or email.

Google offered a quick agricultural history lesson on its Doodle blog, explaining the origination of corn, beans and squash crops.

This planting technique, combining the three crops, originated in Haudenosaunee (Iroquois) villages, and was commonly used at the time of the European settlements in the early 1600s. This indigenous practice revolutionized horticulture and helped stave off starvation in many areas, including the Old World.

Here are a selection of Cone’s original sketches that led to the final Doodle used on Google’s U.S. homepage:
Google thanksgiving doodle sketches

Search Engine Land wishes all of its readers a happy Thanksgiving!

The post Thanksgiving Google Doodle Features “Three Sisters” Of North American Crops: Corn, Beans & Squash appeared first on Search Engine Land.

Wednesday, November 25, 2015

SearchCap: Google Store Data, AdWords Shopping Ads & Semantic Search

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Below is what happened in search today, as reported on Search Engine Land and from other places across the web.

From Search Engine Land:

  • 3 Google Patents You Need To Know About In 2016
    Nov 25, 2015 by Pratik Dholakiya

    Columnist Pratik Dholakiya outlines three patents that Google is applying for and explains how they could affect search results for you and your clients.

  • How Trust & Unique Identification Impact Semantic Search
    Nov 25, 2015 by Barbara Starr

    Is your content trustworthy, and does that matter? Columnist Barbara Starr explores how Google might be using trust as a signal when displaying search results.

  • AdWords Shopping Ads Enhancements: A Roundup
    Nov 25, 2015 by Frederick Vallaeys

    Columnist Frederick Vallaeys notes that AdWords has released many new features for Shopping Ads recently. Are you taking advantage of them?

  • From Search To Store: Google Shows You Ads And Keywords Driving Offline Visits
    Nov 24, 2015 by Greg Sterling

    Google released data earlier today on foot traffic patterns during the holiday shopping season. The data were collected from anonymous mobile users with location history enabled. These capabilities are part of Google’s broader Estimated Total Conversions effort to connect digital advertising with store visits. It matters because local commerce is more than 10X larger than […]

Recent Headlines From Marketing Land, Our Sister Site Dedicated To Internet Marketing:

Search News From Around The Web:

Industry

Local & Maps

Searching

SEO

SEM / Paid Search

Search Marketing

The post SearchCap: Google Store Data, AdWords Shopping Ads & Semantic Search appeared first on Search Engine Land.

3 Google Patents You Need To Know About In 2016

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It’s frustrating, isn’t it? When Google suddenly changes something, and you had no idea it was going to happen.

That’s where all the awkward conversations with your clients begin. And you have to try to figure out how you’re going to explain another change in strategy.

Now, while there may not be any way to become fully future-proof against Google changes (after all, they perform 500–600 minor changes a year, on top of their big updates), there are ways you can stay ahead of the game.

One of those ways is to understand the patents that Google is applying for and how they might impact search in the future.

In this article, you’re going to learn about three patents that could have a huge impact on future results — both for yourself and your clients.

A Quick Note On Patents…

Patents are funny old things.

While Google may file for them, there are no guarantees that they’ll ever come into play. They often file them as a “nice to have,” to prepare for future projects, or because it could come in handy at some point.

But by understanding the types of patents that Google is filing for, and the changes they want to make to search, you can get a solid understanding of:

  • best practices.
  • where SEO may be going in the future.
  • how you can implement for long-term SEO campaign success.

Understanding these can make decision-making much simpler and more effective for you. After all, you can never have too much of an idea about what Google plans to do, can you?

That being said, let’s look at the three most important patents you need to know about for 2016…

Patent 1: Onsite And Offsite Search Ranking Results

Google hasn’t updated PageRank in a long time. In fact, their last official update of PageRank was back in December 2013.

The announcement that PageRank was being discontinued caused a big stir in the industry, especially in the aftermath of Google announcing it wouldn’t be updating its Toolbar PageRank.

But with this patent, it seems that it may be returning in one form or another (whether as a replacement or an improvement), and it’s going to be at the forefront of people’s minds in 2016.

Where PageRank was one of the original foundations for trust in searches, the 0–10 scoring system proved to be a little less than stellar for Google’s liking, despite their using it for over a decade.

This patent proposes to not only change what they built with PageRank as a factor, but to grow and expand on it — for example, looking at onsite pages as more than that page versus the pages on the other sites, and using a Global Ranking to compare a representative page on a site against:

As Bill Slawski writes on his SEO by the Sea blog:

The global ranking score for a site may be based, at least in part, on a level of trust in a domain associated with the particular site. This sounds like it anticipates the possibility that multiple sites might be contained on one domain, like a WordPress.com.

This makes trust, both coming in and flowing out from links on your site, an important staple.

This trust is seen a little differently for onsite and offsite content, though. For onsite content, it comes in the forms of:

  • semantic search in relation to search queries.
  • the links to that page from other pages in the site.
  • the position of the page content within the overall site framework.

While for offsite content, it looks like:

  • number of links to a page or site from other related (or unrelated) pages or sites.
  • amount of times a page or site has ranked for a particular search query.
  • relevant data about sites affiliated with that site or page.

So putting an emphasis on building trust for all of your content could become one of the biggest undertakings you have in 2016.

Patent 2: Using Structured Data For Search Result Deduplication

Google wants to reduce duplicate content as much as possible. But it’s a hard thing to do — especially for e-commerce sites, which can often have thousands more pages indexed than they actually need, leaving results that can look like this:

Big-G-Patent

But now Google may have found a way to reduce duplicate content — using Schema markup — leading to fewer pages with duplicate content ranking for the same, or similar, search terms and promoting authority content.

This patent Google filed outlines a process that, using the vocabulary, would look a little like this:

structured-data

This lets Google discern what is relevant, and what isn’t, more and more effectively. It also means that search results could be:

  • bunched together for topics around the same entity.
  • removed altogether.

This creates a more accurate and personalized search result for the user.

But what does that mean for you?

If you’re unacquainted with using schema markup (or your skills are a little rusty), I’d recommend using Schema.org to find the appropriate markup for your site.

Patent 3: Rich Content For Query Answers

In February, Search Engine Land published an article about how Google displays rich answers for 19.45 percent of queries.

But even in less than a year, that number is dramatically rising. The same company that did that research, Stone Temple Consulting, found that by July of this year that figure had already grown to 31.2 percent of results.

ST-Post

Although this data set may not be representative of all searches, it’s still a huge increase in rich content that’s worth paying attention to.

This patent in particular, though, is about question queries. That is, if you were to search “How to fry bread?” the results would have to be relevant to answering that question for the user. Whether that’s in the form of:

  • Video
  • Images
  • Graphs
  • Charts
  • Snippets

But why has this rich content increased? Because search intent has changed, and users are looking for more comprehensive answers to questions/queries. Plus, the amount of quality content has grown. Rich answers are the logical next progression from that.

That means that answers with more accurate authority content for search queries — even implicit ones like “language in belgium” — are going to be a huge contributing factor to a website’s growth next year.

Stone Temple Consulting recently did a full guide (and case study) on rich content. Alternatively, you can look at the recently updated developer’s guide from Google.

Conclusion

It’s clearly evident that authority and rich content will play a major part in search campaigns in 2016. And it’s also the right time to identify the right schema markups for your content to make sure that the right pages show up for the most relevant search queries.

Do you think semantic search will influence your approach to content and rich answers in 2016? How? Let us know on Facebook, Twitter or our LinkedIn Group.

The post 3 Google Patents You Need To Know About In 2016 appeared first on Search Engine Land.

How Trust & Unique Identification Impact Semantic Search

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There are many factors that are key to the notion of semantic search. Two that are critical to understand that have not been written about much from an SEO point of view are trust and unique identification.

These two factors lie at the core of the many changes we see happening in search today, alongside Google’s ever-growing knowledge graph and their move in the direction of semantic search.

The Semantic Web Stack

The notion of trust is a key component in the semantic web. Below is an illustration that depicts the semantic web stack, with trust sitting at the top.

Semantic Web Stack

Semantic Web Stack (Source: http://ift.tt/1Xfef4b)

Trust is achieved through ascertaining the reliability of data sources and using formal logic when deriving new information. Computers leverage or mimic this factor in human behavior in order to derive algorithms that provide relevant search results to users.

Search Result Ranking Based On Trust

Search Result Ranking Based on Trust is, in fact, the name of a Google patent filed in September 2012. The patent describes how trust factors can be incorporated into creating a “trust rank,” which can subsequently be used to alters search result rankings in some fashion.

People tend to trust information from entities they trust, so displaying search results to users from entities they trust makes a lot of sense (and also brings in a personalization component).

A group at Google recently wrote a paper titled, Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources. The paper discusses the use of a trustworthiness score — Knowledge-Based Trust (KBT) — which is computed based on factors they describe therein.

Below, I have extracted some salient features from the paper that I believe are worth understanding from an SEO POV:

We propose using Knowledge-Based Trust (KBT) to estimate source trustworthiness as follows. We extract a plurality of facts from many pages using information extraction techniques. We then jointly estimate the correctness of these facts and the accuracy of the sources using inference in a probabilistic model. Inference is an iterative process, since we believe a source is accurate if its facts are correct, and we believe the facts are correct if they are extracted from an accurate source.

The fact extraction process we use is based on the Knowledge Vault (KV) project [10]. KV uses 16 different information extraction systems to extract (subject, predicate, object) knowledge triples from webpages. An example of such a triple is (Barack Obama, nationality, USA). A subject represents a real-world entity, identified by an ID such as mids in Freebase [2]; a predicate is predefined in Freebase, describing a particular attribute of an entity; an object can be an entity, a string, a numerical value, or a date.

I also most definitely enjoyed the introduction here:

Quality assessment for web sources is of tremendous importance in web search. It has been traditionally evaluated using exogenous signals such as hyperlinks and browsing history. However, such signals mostly capture how popular a webpage is. For example, the gossip websites listed in [16] mostly have high PageRank scores [4], but would not generally be considered reliable. Conversely, some less popular websites nevertheless have very accurate information.

What can be garnered from this is that SEO practitioners should ensure that all statements written on any website or blog are factual, as this will enhance trustworthiness (which may one day impact rankings).

When it comes to searching for entities in Google, it is clearly evident that they use some form of a trust-based mechanism. Users tend to trust online reviews, so reviews and review volumes are useful to users when they search for a specific product. As a case in point, a search for the product “La Roche Posay Vitamin C eyes” yields the following result in organic SERPs:

Google Search for "La Roche Posay Vitamin C eyes" - Organic Results

Google Search for “La Roche Posay Vitamin C eyes” — Organic Results

The only example that shows up without the enhanced displays associated with reviews (rich snippets) is a page that, when selected, does in fact contain reviews from an authoritative and trusted source (Amazon).

The “most trusted” result is given first, as that comes from the official website of the brand and the reviews page associated with that product. This is a pattern that seems to be quite prevalent in a large majority of product searches at this point in time.

I have written in the past about how another Google patent may utilize reviews in search results in such a manner, and I will quote a relevant portion of the referenced patent here:

The search system may use the awards and reviews to determine a ranking of the list, and may present the search results using that ranking.

Unique Identifiers In E-Commerce

In addition, I have also described in the past how unique identifiers may be leveraged to aggregate reviews by search engines.

Why is this important in the context of reviews in e-commerce?

If a search engine or e-commerce site cannot uniquely identify a product, multiple pages can be created for the same product. This causes those pages to effectively have diluted their “trust rank” and/or link equity in terms of impacting those signals they send to the search engines.

For example, you can see below, in the case of the marketplace eBay, that there are many cases where the same product is listed many times, and hence the reviews are not aggregated on one unique URL:

Search for results La Roche Posay Active C eyes ebay

Search for results “La Roche Posay Active C eyes ebay”

This means that it is critical for merchants to be able to uniquely disambiguate their products internally, if they want to send strong signals in order to rank in organic SERPs for a specific URL.

Ensuring your product listings are correctly and uniquely identified provides this benefit, as it will aggregate the reviews for that product onto the same page/product listing, thereby strengthening the “trust rank” of that page. It ought to have a corresponding effect in terms of avoiding link dilution for that page.

Until recently, this was also an issue on Amazon, but one that appears to have recently changed. Compare a recent product search on Amazon for the same product search a few weeks ago:

amazon-search-then

In this product search from several weeks ago, you can see many separate listings of the same product. [click to enlarge]

In a more recent search for the same product, only one listing appears. From that page, you can select other sellers to purchase from.

In a more recent search for the same product, only one listing appears. From that page, you can select other sellers to purchase from.

Amazon very recently altered this (a couple of weeks ago), and now only displays the one (correct) product at the top of their search results; however, this also appears to give a strong and exclusive bias to the brand owner of the product.

This is unfortunate as I now only seem to get one price (from the brand itself), and it is clearly not the best price. For me, it degrades the user experience, as I don’t seem to be able to get the best price or many options from other sellers (which is my understanding of the definition of a marketplace).

As local business are all entities and have associated products or services, the impact of trust clearly has an equivalent effect and plays a strong role here. An example is depicted below for a search for a specific product.

Search for "4 slice toaster oven near me"

Search for “4 slice toaster oven near me”

It is also very well known that results from trusted review sites often dominate organic SERPs in local search today, with Yelp as a well-known example. This means this applies to professional services and all other kinds of local businesses, forming the basis for a large part of the user’s “trust” in that business entity and/or the products or services they offer.

Critic Reviews And Trust

Looking at this in another vein, Google recently started advising users to promote their content using Critic Reviews, and they suggest adding review markup to any of the following pages:

The page can be any of the following:

  • The website’s home page
  • A page linked from the home page that provides a list of available reviews
  • A page that displays an individual review.

They provide an example for promoting Critic Reviews for the movie “Gravity” and specify that the preferred format is JSON-LD (although they do state that they accept microdata and RDFA as alternative syntaxes). For examples of the microdata format, they recommend looking at schema.org/review.

Critic reviews – Sample markup in json-ld for the movie Gravity

Critic reviews – Sample markup in json-ld for the movie Gravity

Google in fact put out a terrific video on the topic of Critic Reviews. A snapshot below illustrates how the schema.org markup added for these reviews appears on your mobile device.

As Google clearly states here, these snippets help users make decisions and also introduces them to new, authoritative sources (whom they now presumably trust).

Crtitial Review Snippets on mobile

Crtitial Review Snippets on mobile

 

The standard set of attributes for Critic Reviews is well defined on the post, and there are also additional requirements for four specific Critic review types: movies, books, music albums and cars.

Promote Your Content With Structured Data

As an SEO, you should work to make your code “machine-friendly” and add relevant structured data to your pages using schema.org where applicable. As Google states very clearly here, doing so will give you a better chance of achieving enhanced displays (rich snippets) in search results, as well as a presence in the knowledge graph.

If you can, go one step further than specified in the blog by adding identifiers where possible. Focus primarily on Freebase and Wikidata IDs. I illustrated how to find a freebase ID in a previous article by locating the “MID” (Machine Identifier), and I also discussed how to facilitate the search engines disambiguating your content using the “sameAs” predicate in schema.org.

I would also recommend obtaining the wikidata identifier (or “QID”), which you can find quite easily on Wikipedia by going to the URL of the entity and then clicking “wikidata item” in the left-hand navigation.

wikidata-item

I would like to end this article with a screenshot from the video that I could not resist, as it makes a very clear statement. Structured Data allows Google to answer some really hard questions, and Google clearly loves the ability to do so. This means if you want to make Google happy, be sure to add structured data to your web pages.

Structured Data Lets Google answer some really hard questions

Structured Data Lets Google answer some really hard questions.

Takeaways

  • Mark up all your pages with relevant schema.org markup; if reviews apply, make doubly sure to mark them up, since they add a trust indicator.
  • Add identifiers wherever possible (MIDs and QIDs).
  • If you are running an e-commerce-type marketplace and are interested in “landing pages,” make sure you uniquely identify your products to ensure that your review volumes are maximized and that you do not lose link equity for those pages.
  • If you are a brand site, make sure to add reviews to your product page, along with your unique identifier, to ensure your appropriate recognition as the “official website,” typically in position 1 in organic SERPs (Other factors may alter this, of course).
  • If you are promoting some form of media that supports critical reviews (video, movies or music, or a product like cars), be sure to add markup to those pages.

The post How Trust & Unique Identification Impact Semantic Search appeared first on Search Engine Land.

AdWords Shopping Ads Enhancements: A Roundup

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The AdWords team behind shopping ads has been very busy improving their offering, with at least 11 major new capabilities launched in the past six months.

Even if you’re using AdWords regularly, it’s easy to have missed some of these new capabilities that may be buried deep in the UI. To make sure you’re not missing any opportunities, here’s a roundup of what’s new in AdWords Shopping ads, along with my thoughts on how to use all these features to drive more sales and profits for your ecommerce business.

The new features fall into a few different buckets that I’ll cover here one by one:

  • Finding what to sell
  • Getting it added to your merchant feed
  • Selling more
  • Selling more profitably

I’ll wrap it up with a few extra tips based on my experiences with shopping ads.

Find Products You Should Sell

1. Shopping Insights

Google Trends has long been an amazing tool to help retailers figure out what products they should stock, and now Google has launched a variation of this tool that is geared specifically towards retailers: the Shopping Insights tool. The tool covers the 5,000 most popular products on Google Shopping.

Because the dataset is limited, Google Trends may still be the best way to gauge the interest in the products you carry. One classic example I’ve shared at many of my AdWords lectures is how to use Trends to see which brand of jeans may be most popular in various parts of the country.

Google_Shopping_Insights-Jeans

The new Google Shopping Insights tool shows the most popular product searched in different regions and on different devices. Currently the data is limited to 5,000 products. Screenshot from google.com taken November 2015.

 

Google_Trends_-_Web_Search_interest__levis_jean__7_jeans__true_religion_jeans_-_United_States__2004_-_present

Google Trends lets you look beyond the 5,000 most popular products. In this example, we can look at any brand of jeans, even if it’s not in the top 5,000 of all products searched on Google. Screenshot from Google.com taken November 2015.

2. Assortment Report

The Shopping Assortment Report found in the Google Merchant Center shows the most popular products in categories where you also sell products. The idea is to tell you if there are popular products in those categories that you don’t offer and that might provide an opportunity to drive a massive amount of new sales.

Because these products are best-sellers, and there will be a lot of competition from other retailers, you shouldn’t expect these to contribute a lot of profit, but they could certainly drive a big increase in revenues when added to your product mix.

The report only includes products for which you have received no impressions for the past 14 days. This means you may actually have the product in your feed, but your bids and relevance are too low to get any traction.

To make sure you’re not missing any simple opportunities like this, cross reference your list of GTINs with those in the Assortment Report to find popular products that you sell but that aren’t getting any share of the available impressions.

Assortment_Report-example

This Assortment report shows that eBay usually has a higher prices for the most popular products in Apparel & Accessories. Screenshot from Google.com taken November 2015.

Because the Shopping Assortment Report shows reference prices from five sites for each product, it can be used to understand the pricing strategies of your competitors. Who is always offering the product for a penny less than the typical price? And which sites always have a higher price yet are still successful?

For example, eBay often has higher prices. This suggests that perhaps consumers mistakenly believe an auction always leads to a better price, so sellers on eBay can get away with charging more for the same products.

Simplify Creating Merchant Feeds

3. Google Merchant Center Add-On For Sheets

For small sites that don’t offer a lot of products, the easiest way to create a feed for the Google Merchant Center is through Google Sheets. Now, Sheets even offers a free add-on that helps with validating the data and submitting it to the Merchant Center.

merchant-center-add-on-for-sheets

The Google Merchant Center add-on for Google Sheets simplifies the creation and maintenance of a product feed that is compatible with Merchant Center, a prerequisite for running shopping ads on Google. Screenshot from Google.com taken November 2015.

Over the past year, Google Sheets has gotten powerful enough that I often prefer it over Excel, especially for working with AdWords data, which I can easily import into Sheets using AdWords Scripts. (There are many great examples of AdWords Scripts to start pulling data into Google Sheets on this site, as well as on Google’s Developer Site for Scripts.)

4. Online Product Inventory Update Feed

Larger advertisers who want to send continuous updates about prices and inventory can now use the online product inventory update feed. It updates faster than the full feed and won’t cause issues with the full product feed’s approval status if there are transient errors.

Showing the correct price for a product is critical to maintaining a great conversion rate, so this is a must-have for merchants who change prices more often than they typically update their main product feed.

5. Automated Product Group Creation

Google has made it easier to structure product groups by letting advertisers who are building new ad groups pick an attribute in their feed by which to split products into groups. This feature also lets advertisers put a single product into each resulting product group.

Here’s a use case where that can be useful: when you have 100 groups after splitting products by the different brands you sell, you’d have had to manually go and subdivide each of these 100 groups by item ID, a process that can be very time-consuming. Now, Google can do this two-level split automatically.

shopping ad group builder

Automatically build product groups for new shopping ad groups. Screenshot from Google.com taken November 2015.

Sell More

6. Find More Clicks With The Click Share Column

Enable the new click share column to get insights beyond what you already get from impression share. Unlike impression share, which tells you how many times your shopping ad showed divided by how many times a user within your targeting searched for your product, click share shows how many clicks you got divided by how many times your ad was competitive enough to potentially get a click.

If your impression share is good, but your click share is low, it may be because your shopping ad is not appealing, so fix the elements that influence CTR (i.e., the things that show up in the ad like price, image and headline). On the other hand, if you are losing impression share, increase your rank by increasing your bid or improving your quality (CTR).

Remember, Google makes money through a combination of CPC and CTR (because Ad Rank, also known as CPM = CTR x CPC x 1,000), so your relevance is just as important as your bid.

7. Utilize YouTube Shopping Ads

When Shopping ads launched last year, they could only show on Google SERPs; now, however, they can be syndicated to search partners like YouTube, Walmart.com and others, so these provide a big opportunity for driving more volume.

Google is making two flavors of shopping ads available on YouTube:

TrueView For Shopping. TrueView for Shopping will automatically create cards from the data in your Merchant Center to show in your own in-stream TrueView ads, thus making it easier for users who see your video ad to purchase it from your site. To enable this feature, you will need to ask a Google rep.

Shopping Ads On YouTube. Shopping ads on YouTube is already available to all advertisers because it’s just a part of the Google Search Network. When you opt in to show your ads on search partners, someone who is watching a video review of a product you sell can see a card with your product overlaid in that video.

Shopping Ads can now appear as cards on YouTube by opting into the search partners option of a shopping campaign in AdWords.

Shopping Ads can now appear as cards on YouTube by opting into the search partners option of a shopping campaign in AdWords. Screenshot taken on Google.com in November 2015.

As you run your ads on search partners, be sure to segment your AdWords reports by “Network (with search partners)” to make sure that your results on these partner sites are good enough to justify the money you’re spending there. Results that I’ve seen have been good, but it’s always a good idea to check your own data as more partner sites start to drive clicks on shopping ads.

Sell More Profitably

8. Flexible Bid Strategies For Shopping Ads

Last year, I recommended structuring shopping campaigns into ad groups so that you could take advantage of ad group-level features like mobile bid adjustments and negative keywords. Now, add flexible bid strategies to that list of features available for well-structured shopping campaigns.

The best bid strategy for e-commerce is almost certainly to target the ROAS that corresponds to your profitability goals. You can use this strategy so long as you’re adding conversion value data into AdWords, either with the AdWords conversion tracking code or with an import of Google Analytics’ e-commerce data.

The formula to calculate your target ROAS is as follows: to break even, you need an ROAS target of 1 divided by your margin. If you want to keep some profits, you subtract the amount of profit you want from 1 and then divide that by the margin: (1 – percentage of profit to keep)/margin.

Google recommends a bid strategy of “maximize clicks” if you’re promoting a sale and want to drive foot traffic for a local inventory ads campaign. Other flexible bid strategies make less sense for shopping ads, in my opinion.

9. Remarketing Lists For Shopping Ads

You can now add a remarketing audience to your shopping ad groups or campaigns. Like with RLSAs, they can be used to modify bids or to target only those people who are on a remarketing list.

Combine this with the very powerful new Customer Match feature where you can build an audience list by importing the email addresses of your current customers. You can even segment them based on how much they spent, how recently they purchased, or what types of products they bought.

You can then, for example, increase bids for customers who tend to place high-value orders and decrease bids for customers who buy very little and where there may be little profit left after you pay for your free shipping promotions for the holidays. (You are offering free shipping, right? Eighty-eight percent of consumers say free shipping makes them more likely to buy.)

If you previously installed the code for Dynamic Remarketing (where Google automatically inserts products users looked at into display ads), AdWords will already have created some other useful audience lists like shopping cart abandoners. These may be an excellent audience to pursue with a more aggressive promotional ad or with a more aggressive bid strategy.

10. Automated Extensions For Shopping Ads

As I said in my column about Shopping ads last year, there was no point adding promotional text to ad groups because virtually no user would ever see it, and Google has now retired this feature. Now, Google will automatically try to make your ad more clickable by including details about your promotions.

To get this to work, be sure you have a promotions feed added in your Merchant Center, and keep your prices up-to-date so that Google can indicate when there is a price drop and a great opportunity for prospective buyers to put down their plastic.

Now that the promotional text for shopping ds has been retired, Google may automatically enhance shopping ads with automated ad extensions like these.

Now that the promotional text for shopping ads has been retired, Google may automatically enhance shopping ads with automated ad extensions like these.

11. Bid Simulator

Use data from the Bid Simulator for shopping ads to estimate how many more clicks you could have gotten with different increases in your bids. This type of data lets you calculate incremental costs like “incremental cost per click” and “incremental cost per conversion,” which are critical to help you bid the right amount for your goal, whether that’s to maximize profit or revenue.

Tips And Tricks

As you can see, AdWords has made huge strides in making shopping ads more powerful and easier to manage, but like most power users, we’ve found a couple of additional scenarios that could be easier to handle, so here are a few final tips and tricks.

Keep Product Groups Synced With Your Merchant Feed

Even after you’ve taken the time to build a well-structured set of ad groups with well-divided product groups, your AdWords structure might get out of sync with the data in your Merchant Feed.

To make sure you’re never losing potential sales, I recommend always having a low-priority catch-all shopping campaign that targets everything in your feed. That way, you’ll always have a chance to show an ad for a product you sell. I also recommend you avoid getting too many clicks coming from these types of catch-all campaigns, or product groups of “everything else” because that’s akin to buying only broad match keywords for search ads: great for getting lots of traffic but lousy for giving you control over your ROI.

To balance the need to never miss a sale while keeping product groups neat, you have to periodically check that there aren’t any new items in the feed with attributes that require you to update your structure. Here’s a simple example. If you divided products into groups based on brands X and Y, and then your feed gets updated with a new product from brand Z, that brand would fall under “everything else” until you add brand Z as a product group.

You can do this manually by editing all of your current product groups, but that’s clunky, so at Optmyzr we built a Shopping Refresher tool that checks whether your AdWords structure matches what’s in your feed and automatically adds or removes product groups based on what changed.

Roll Up Data To Make Better Decisions

A common issue in AdWords has to do with data density for making optimizations like bid adjustments. A well-structured account with lots of tightly themed ad groups may get great Quality Scores, but it may leave you with too little data to act on when it comes to changing bids. Aggregating the data based on commonalities between elements helps increase data density.

Luckily, this is where a good structure helps: in product groups, you can roll up to a higher level of your product group splits, and in ad groups, you can roll up data to the campaign level. For example, if you’ve split all your products into groups of single item IDs, use a dimensions report to get aggregate stats for attributes like brand or product category where you have at least 15 conversions, and then use this larger set of data to help guide bids for those product groups that don’t have 15 conversions on their own.

Set Hourly Bid Modifiers For Shopping

My fellow columnist Daniel Gilbert shared a script to set hourly dayparting bid adjustments. We took inspiration from his idea and rewrote the script for our users. Based on feedback from one of our users, we decided to extend our script’s capability to also let you do hourly dayparting for shopping campaigns.

We’ve published a free single account version of the code to do hourly dayparts for shopping ads here, but you could also take Daniel’s code and replace the string var campaignIterator = AdWordsApp.campaigns() with var campaignIterator = AdWordsApp.shoppingCampaigns().

Isn’t it great how, with AdWords Scripts, you can take an existing script and (in this case) make it do something more by literally adding eight characters to it?

Conclusion

With so much new in shopping ads, now’s a great time to take another look to make sure you’re taking advantage of these 11 new capabilities AdWords offers.

The post AdWords Shopping Ads Enhancements: A Roundup appeared first on Search Engine Land.

Tuesday, November 24, 2015

From Search To Store: Google Shows You Ads And Keywords Driving Offline Visits

online-to-store-google

Google released data earlier today on foot traffic patterns during the holiday shopping season. The data were collected from anonymous mobile users with location history enabled.

These capabilities are part of Google’s broader Estimated Total Conversions effort to connect digital advertising with store visits. It matters because local commerce is more than 10X larger than e-commerce. Lack of visibility on what is helping generate offline visits means lack of clarity on ROI.

To help remedy that, Google announced that you can now gain visibility on how keywords or ad groups are performing and impacting store visits — by day, week and month:

Starting today, advertisers can get a more detailed view of offline measurement with the ability to breakout store visits at a keyword or ad group level, and the ability to view visits by day, week, or month to better inform bidding and campaign strategy. By reviewing data at this level, advertisers can understand which keywords or ad groups drive the most store visits. For example, a toy store may learn that certain dolls or action figures bring in the most visitors. With this insight, that toy store might invest in search terms that drive both online and offline sales, and display those products at the front of their store. As a reminder, store visits are based on anonymous and aggregated statistics and are shared in a privacy-safe way.

The value of this kind of data is self-evident. It should be something of a revelation to search marketers to be able to see which keywords or ad groups are actually impacting in-store foot traffic. And it should impact bidding fairly dramatically.

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