Friday 30 October 2015

Snapchat’s First Sponsored Lens Features “Peanuts” & A Candy Corn Stream

The brand invasion of Snapchat selfies starts on Halloween.

Fox Studios has purchased the first “Sponsored Lens” to promote “The Peanuts Movie” set for release next week. Tomorrow Snapchatters who activate the Lens feature while shooting a picture or video of themselves will be able to overlay Peanuts characters on their selfies. Snoopy, Charlie Brown and Woodstock will make appearances and people will have the option to show an “endless stream of candy corn” pouring out of their mouths, modeled after Snapchat’s rainbow vomit feature. The animated overlays will be accompanied by the “Linus and Lucy” theme song.

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Snapchat introduced the Lens feature in September, giving its users a playful way to dress up their selfies with animated special effects.

The Sponsored Lens feature is the second new ad unit Snapchat is rolling out this week. The new James Bond movie “Spectre” got its own Discover channel on Monday as Snapchat continues its push to monetize its audience of 100 million daily users.

The company isn’t revealing how much it is charging for these high profile sponsorships, but they are pricey, with multiple reports putting the cost of Sponsored Lenses on holidays at around $750,000. A Recode source said Snapchat is telling advertisers to expect 12 million to 16 million people to use sponsored lenses on holidays. That’s apparently enough incentive for entertainment brands to continue experimenting with Snapchat advertising.

The Peanuts Lens will be activated at midnight Pacific time and be available for 24 hours. The studio is also sponsoring Peanuts geofilters that will be active in the US tomorrow.

Marketing Day: Instagram Ad Updates, A Digital Marketing Quiz & LinkedIn Earnings Report

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Here’s our recap of what happened in online marketing today, as reported on Marketing Land and other places across the web.

From Marketing Land:

Recent Headlines From Search Engine Land, Our Sister Site Dedicated To Search News & Information:

Online Marketing News From Around The Web:

Analytics

Blogs & Blogging

Business Issues

Content Marketing

Copywriting, Design & Usability

Domaining

E-Commerce

Email Marketing

General Internet Marketing

Internet Marketing Industry

MarTech

Mobile/Local Marketing

Reputation Management

Social Media

Video

Instagram Is Giving Advertisers Self-Serve Access To Carousel Ads

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Instagram has announced that it will soon allow advertisers to help themselves to carousel ads. Instagram will enable purchase of the ads through parent company Facebook’s Power Editor and Ad Manager platforms and the Instagram ads API in the next few weeks.

“By opening up the way advertisers can buy, businesses of all sizes around the world now have more flexible targeting, call-to-action button options, and can customize their offsite links to help drive maximum return,” Instagram wrote in a blog post.

Launched in June, carousel ads offer advertisers the chance to create promoted posts with up with five images that people can swipe through. Notably, carousel ads were the first Instagram posts that included links that people could click or tap on to visit sites off Instagram.

Instagram said carousel ads have been working well, on average producing an additional 2.5 point lift in ad recall compared to single photo campaigns. And French retailer L’Occitane reported 58 percent higher lift in conversion rate compared to their campaigns using single-photo link ads.

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Now Instagram will give all advertisers the ability to use the format, as it continues to open its ad products to all comers. Among the recent new additions are the ability to optimize for reach and frequency or for conversions. From the blog post:

By optimizing for reach & frequency, advertisers can manage the number of people they reach with their Instagram ads and how frequently the ads are shown. To make media planning and buying even easier, advertisers can also control the reach and frequency of campaigns across Instagram and Facebook.

In addition, performance advertisers can now optimize delivery of their ads to people who are most likely to take an action on their website — driving more efficient performance on Instagram, or for campaigns running across Facebook and Instagram. Our goal is to remove friction and give businesses the most bang for their advertising buck.

21 News Feed Updates That Have Changed How Pages Use Facebook

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It would be difficult to overstate the importance of Facebook’s News Feed to marketers. You can think of it as an epic quest to gain access to Facebook’s multitudes — a search for the holy grail of social media visibility.

And Facebook is continually shifting the path — some would say adding roadblocks — by making adjustments to its News Feed algorithm, the complicated set of rules that controls what people see on the social network. Facebook’s aim, of course, is to create the most interesting stream of content possible, personalized for each of its 1.5 billion users. The “perfect personalized newspaper” is how Facebook CEO Mark Zuckerberg terms it.

In search of perfection, Facebook engineers constantly tweak the algorithm, using machine learning to study how people react and engage with content from friends and Pages. It’s complicated — two years ago the algorithm was said to weigh as many as 100,000 factors — and getting more so over time.

For marketers, the effort to be a part of that content mix keeps getting tougher and organic reach has plunged over the past few years. Much of the drop-off can be blamed on increased competition for space on the News Feed, with Facebook adding nearly half a billion users in the last three years and the fact that there are now 45 million business Pages all vying for people’s limited attention spans.

In that environment, Facebook marketers are looking for an edge, a roadmap to help them find their way into consumers’ Facebook feeds.

Fortunately, for the last two years Facebook has been regularly signaling its most significant adjustments to the algorithm. It’s not an explicit set of instructions — like Google’s PageRank algorithm, Facebook’s is still mostly a black box — but the wise Facebook Page administrator closely reads Facebook’s News Feed FYI blog for hints.

To help you interpret the tea leaves, we’ve put together a roundup of the changes over the last 2+ years.

August 2013: Say Farewell to EdgeRank

In the beginning there was EdgeRank, Facebook’s term for the algorithm, but in August 2013 the company said it had stopped using the term internally 2 1/2 years previously when it added machine learning to the mix. Facebook’s belated announcement of the name dump coincided with an effort to be more transparent about algorithm changes, the introduction of News Feed FYI, and the company explaining how the algorithm works in greater detail then it had ever before.

The original EdgeRank signals — affinity, weight and time decay — were joined by other factors like the type of content a person tends to interact with, whether he or she clicks on ads, speed of connection, hiding posts or reporting spam and relationship settings with other people and Pages.

“The easiest analogy is to search engines and how they rank web pages,” Facebook’s Lars Backstrom told Marketing Land at the time. “It’s like comparing the Google of today with Alta Vista. Both Google and Bing have a lot of new signals, like personalization, that they use. It’s more sophisticated than the early days of search, when the words on a page were the most important thing.”

Facebook also introduced “story bumping,” the idea that it would push stories that people missed on previous Facebook visits higher in News Feeds, and a “last actor” parameter that took into account people’s most recent 50 interactions. The former was seen as a way that some content might get extended visibility and the latter making it possible that timely content might be seen more.

Recent Experiments

August 2013: Favoring High-Quality Content

One of Facebook’s first moves after promising to be more transparent about News Feed changes was to say that it would be favoring “high-quality content.” To help define quality, Facebook surveyed users with questions such as:

  • Is this timely and relevant content?” Is this content from a source you would trust?
  • Would you share it with friends or recommend it to others?
  • Is the content genuinely interesting to you or is it trying to game News Feed distribution? (e.g., asking for people to like the content)
  • Would you call this a low quality post or meme?
  • Would you complain about seeing this content in your News Feed?

Facebook then fed the data into a machine-learning system and applied the results to the algorithm. For Page admins, Facebook recommended that they focus on content that people would want to see in their News Feed. Simple, right?

Dec. 2013: Serving More News, Fewer Memes

Facebook further emphasized favoring of high-quality content by going after memes. People prefer links to stories about current events, their favorite sports teams and shared interests over the latest meme, Facebook said. The company said it would pay more attention to clicks on mobile devices. Further pushing into news distribution, Facebook also started attaching related articles to posts that included links to articles. It also started taking comment activity into account when “story bumping” posts up in people’s feeds.

Jan. 2014: Downgrading Text-Only Updates From Pages

Pages are different than your friends — it’s a humanity thing — Facebook reminded with this adjustment. Text-only updates from Pages aren’t received as well as they are from friends, so Facebook said it would be showing less of them to people. Instead, Facebook said, Pages should post more links to provide a “more visual and compelling experience.”

Feb. 2014: Extending Reach By Tagging Other Pages

Facebook said that it would give Pages the ability to reach the audience of other Pages by using the tagging function, for instance sports site Bleacher Report could tag James Harden’s Page and have a chance to show up in the feeds people like the NBA star’s Page.

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April 2014: Dumping Like-Baiting & Spammy Posts

In an effort to cut down on people trying to game the system, Facebook cracked down on Pages that explicitly asked for Likes, comments and shares. It’s a cheap and easy trick — “like if you like this puppy” — and many people were biting, but Facebook said it would throttle such stories. It also limited reach for frequently circulated content, popular photos and stories that are often recycled and posted repeatedly, and spammy links to websites that contain only ads or a combination of ads and regularly shared content.

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May 2014: Showing Fewer Auto-Posts From Apps

Because auto-posts from apps — a notification that your friend listened to “Happy” on Spotify or burned 500 calories on a run logged by RunKeeper — tend to get less engagement than posts generated by humans, Facebook cut back on the number of bot posts in people’s feeds. Facebook said people often felt surprised or confused by the auto-posts. It was another step away from the frictionless sharing model that Facebook was touting in the distant past, way back in 2012.

June 2014: Giving Native Video A Big Boost

This was the update that launched a video juggernaut. Facebook said it would show more video to people who liked watching video and less to people who tended to skip over moving pictures. Turns out that everyone liked watching video on Facebook. This was before the ALS Ice Bucket Challenge invaded the social network later in the summer of 2014. Video views were growing steadily at the time; Facebook said twice as many people were watching video compared to six months previous. Considering what we now know, the language sounds quaint: “In our early tests, this improvement resulted in more people watching more videos that are relevant to them.”

August 2014: Use Link Format, Not Links In Captions

Pages that had been posting photos with links to stories in the caption were warned away from that practice, and encouraged to use Facebook’s native “link format” that pulls in a title, description and picture. Pages had been using the former workaround to take advantage of increased reach for photo posts, but Facebook said people prefer to click the standard links. Since giving people what they want is a Facebook specialty, it said it would start showing people fewer photo and status posts that include plain text links.

August 2014: Down With Clickbait

Click-bait is in the eye of the beholder, but Facebook went after posts that withhold information about a story to entice clicks. It said blatant curiosity gap headlines — “you’ll never believe who fell off the stage” — grab a lot of clicks but annoy the people clicking. To fight that, Facebook started measuring time spent away from Facebook as an indicator for whether people were satisfied about what they found at a link. It also looked at the ratio of people clicking on content compared to how many people were liking and commenting on a story after returning from the link.

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Sept. 2014: You Blocked An Ad? Facebook Wonders Why

In a move to improve ad quality, Facebook started asking for details when people hide ads in their News Feed. The company wanted more information about why people hide specific ads to better determine whether an ad was spammy or offensive or whether it was just hitting the wrong people. Facebook also said it would pay more attention to hiding signals from people who tend hide fewer pieces of content.

Sept. 2014: Surfacing More Timely Stories

In a likely response to criticism that Facebook was lagging in serving noteworthy news — filling the feed with ALS challenge videos while Twitter was full of messages about protests in Ferguson, Mo. — the social network said it would take timeliness of posts into account more. It started boosting updates about trending topics, including sports events, TV shows and other shared experiences.

Nov. 2014: Have A Promotion? Buy An Ad

This was a big one, a change that many believe drove the final nail in the coffin for organic reach. Facebook warned Pages against posting “overly promotional” updates, saying that such posts would be shown to fewer people. For those who want to reach people on Facebook with a promotional pitch, the message was clear: buy a Facebook ad.

facebook-promo-example

Jan. 2015: Helping The Hoax Busters

Aiming to reduce the spread of bogus news stories, Facebook started suppressing posts that contain misleading or false information. Identifying such posts falls to Facebook users who were given a new “It’s a false news story” reporting option. If enough people flag a post, Facebook appends “Many people on Facebook have reported that this story contains false information” and that post will have reduced distribution in the News Feed.

April 2015: More From Friends, Less From Pages

People don’t like to miss posts from their friends, no question. So Facebook updated the algorithm to favor friends’ updates over those posted by Pages, warning that some Pages would see reduced distribution. The details were a bit vague; the blog post announcing the change also said that people who interact with posts from Pages will still see that type of content. Also posts that friends liked and commented on wouldn’t show up as often, which could limit reach for stories getting a lot of attention. The bottom line, friends come before brands. Said Facebook: “Overall, pages should continue to post things that people find meaningful and consider these best practices for driving referral traffic.”

June 2015: Boosting Time-Spent Signals

Facebook research showed that people don’t always like, comment on or share posts that they find meaningful, so it adjusted the algorithm to add time spent on posts as a signal of interest. At the time of the update, Facebook said it didn’t expect this to cause significant changes in distribution, but as the company adds more features that keep people on Facebook (i.e., Instant Articles and immersive ads) and continues to favor native video, it’s likely that Pages that post full content rather than links to outside sources will gain an advantage.

June 2015: Adding More Positive Signals For Native Video

People watch a lot of Facebook video — to the tune of 4 billion views daily as of April 2015 — and with this update Facebook tried to make sure that people were seeing more of the type of videos that they like. Facebook started parsing signals such as whether people activate audio or click to open a video in full screen. By using those inputs in addition to the standard like, comment and shares, Facebook said it is better able to figure out the type of videos a person is interested in — and show them more of those.

July 2015: Letting People Choose What They See First

A rare user-controlled adjustment, this update gave people the ability to choose the connections they want to see first on their News Feed. People now can designate up to 30 friends and Pages whose posts they don’t want to miss. Such posts will appear at the top of the News Feed. Essentially an algorithm override, this probably didn’t help Page reach considering it would be tough to convince even a brand’s superfans to activate the feature. It couldn’t hurt a business to ask people to add its Page to the preferred list, but persuading people at scale to do that is unlikely.

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July 2015: Ignoring Hides From Serial Hiders

A small group of Facebook users hide almost everything they see in their News Feed, even after liking or commenting, so Facebook decided to treat hides from those people as less of a negative signal. That means such users will see more posts from friends and Pages, which in turn could cause Page admins to see more hides of their content in Insights, Facebook warned. Facebook said it didn’t expect to see significant changes in distribution.

Oct. 2015: Adjusting Content On Low Bandwidth Devices

Facebook is now sniffing out when users are connecting via slower mobile devices and serving them content that is less bandwidth hogging, for example fewer videos and more text and photo updates. Aimed at users in the developing world — Facebook’s highest growth area — the changes mean that people will always have content to thumb through, good news for businesses targeting people in emerging markets. It also means that people thumbing through phones in airplane mode will see content loaded when they were last connected to the network.

Oct. 2015: Treating All “Reactions” Just Like A Like

Data from Facebook’s other-than-a-Like buttons will no doubt eventually be rolled into the algorithm and be used to signal the nuanced sentiments of people who click the emoji for Love, Haha, Yay, Wow, Sad and Angry. But for now, during testing of the feature for users in Ireland and Spain, Facebook said that people’s sentiments among those range of emotions will be treated just like a Like in terms of content rankings in the News Feed.

Facebook Reactions Emoticons

What’s Next?

The only certainty is that the News Feed algorithm will continue to evolve. Whatever the changes in the future, we’ll be watching closely and reporting about how marketers are adjusting to the moving target.

Quiz: How Much Do You Know About The Latest In Digital Marketing?

Why iOS 9’s Ad Blocking Isn’t Dire For Advertisers

no-ads-blocker-ss-1920Three, two, one… The ad screen countdown continues. Without even glancing at the dancing pixels before his eyes, the consumer clicks the “skip” prompt.

With ads shown in nearly every nook and cranny of the real estate we affectionately dub “the web,” consumers are increasingly — do I dare say — ignoring the very message advertisers have worked so hard to share with them.

What complicates matters is the continued increase in deployment of ad-blocking software — an uptick of 48 percent in 2015, accounting for an estimated $21.8 billion in lost revenue from unseen ads globally.

Apple has taken notice of this growing trend and last month announced that iOS 9 will enable ad blocking for mobile through its default Safari browser. The news generated a firestorm of reports and opinions, with critics and consumers alike quick to share their rants and raves.

By now it’s clear that blocking ads on the mobile web affects publishers, but not much has been said about the impact on advertisers.

The Numbers

Earlier this year, ComScore released a study indicating that US smartphone consumers spent over 7X more time on apps than on a mobile browser. Tablet usage wasn’t much different, with 5X as much time spent on mobile apps as on the mobile web.

So ad blocking on the web really shouldn’t affect advertisers too much, right?

But when you look at web consumption, a different picture emerges: 20 percent of all web browsing happens on mobile Safari. Through this lens, there appears to be a lot at stake for advertisers wishing to reach consumers, who can potentially block their ads.

However, there is hope for the advertiser. Ultimately, iOS users must take the time to search and download an ad-blocking app in order for ads to be withheld from their device, and despite the initial climb in ad-blocking app downloads on iOS, there is no clear evidence that this initial uptick will continue.

Android users have had access to ad blockers for some time now, and advertisers have experienced minimal impact thus far. We can expect similar results for advertisers reaching audiences on Apple devices through iOS.

Additionally, ad blocking presents key opportunities for marketers advertising on mobile devices.

In-App Opportunity

Understanding consumer behavior can be an emotional roller coaster for marketers, at times thrilling and exciting, yet terrifying and gut-wrenching at others.

With consumers spending significantly more time on mobile apps than on the mobile web, the growth of mobile web ad blocking shouldn’t be viewed as a scary ride for marketers and instead remind them of exciting opportunities to engage with people in new ways and in new environments, like mobile apps.

However, even thrills can be accompanied with white-knuckle experiences when you don’t know what’s around the next corner.

For instance, earlier this year Forensiq conducted an ad fraud study for in-app advertising — analyzing more than 35,000 apps — and found that more than 14 percent of ad traffic was fraudulently generated through major ad exchanges and networks.

When a consumer downloaded an infected app, the app (while unopened) would display ads in the background at an alarming rate. Other infected apps showed unwarranted programmatic ads to users.

In aggregate, the study found 12 million mobile devices to be infected from the sample studied. The analytics firm estimated advertisers lost a total of $857 million as a result.

So you may be thinking, why should I be advertising on in-app inventory? Ad fraud is everywhere, much more so on the programmatic web — up to 31 percent, SunTrust Robinson Humphreys analysts told Adweek. This rate is more than half the ad fraud rate of in-app mobile advertising.

Mobile in-app inventory, while not completely free of ad fraud, provides advertisers greater surety that their ads are seen, in a native environment, no less. Moreover, with advanced in-app functionality, advertisers can do much more to engage audiences without re-directing them outside the app.

As consumers continue to spend more time within apps than on the mobile web, in 2016 it will become even clearer that mobile in-app advertising should be a key strategy for advertisers to engage consumers.

The Future Of Mobile Advertising

Apple does not hold the ubiquitous position of being held in every consumer’s hand. Then again, the future of mobile advertising will no longer be confined to what devices people hold but by the brand experiences they demand.

The trend towards a borderless advertising ecosystem is not that far away — soon ad networks will be created for our household appliances, wearables and other internet-connected “things” as they surface.

As ad blocking becomes more of an issue within this ecosystem, marketers would do well to align themselves with ad partners that have the strength and experience to deliver compelling experiences across devices to targeted audiences. Are you ready for the future of mobile advertising?

What CMOs Need To Know About Demand Side Platforms (DSPs)

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The programmatic display space is full of technological acronyms these days. In this column, I’ll explain the role of one of them — the Demand Side Platform or DSP — to help CMOs make critical decisions about their strategies.

A DSP’s place in the tech landscape is to respond on behalf of advertisers to bid requests from Supply Side Platforms.

Here’s how it works. A publisher page loads with an ad slot on it. That ad slot is a piece of code from the SSP that (as quickly as possible) reads factors from the page/user (content, domain, browser and so on) and shares them with the DSP. The DSP checks those factors against the criteria set by the advertiser and decides whether to bid and how much.

This is complicated by the fact that each SSP connects to multiple DSPs and vice versa. So several parties will be comparing bids for each impression.

When you also account for each SSP running on many publishers and each DSP running for many advertisers, you reach a point where every impression triggers a flurry of activity, and the billions of impressions trigger billions of flurries. It all has to happen before the page finishes loading to the user.

As an advertiser, it means that running your activity through a DSP takes you from a direct relationship with a publisher to being a small cog in a very complex machine.

There are three typical reasons to run your display through a DSP: cost savings, efficiency and optimization.

Cost Savings

When inventory is made available to DSPs, it goes into an auction. Everybody entering those auctions has different criteria, different budgets and different pacing, meaning that even the advertiser with the highest bid won’t be in every auction. The result is that low bids can still get some impressions.

By entering an auction with low bids but broad targeting criteria, you’re opening yourself up to show more widely, but only when costs are low. Across the thousands or millions of websites you might serve ads on, at least some of those impressions will be available cheaply.

For your budget, you can deliver a lot more advertising, even on premium inventory. Cost savings are not uncommon, leading to potential improvements in traffic for your budget. Even though click-through and conversion rates on those ads might be lower, it’s possible to drive improvements in CPA and ROI overall.

Buying Efficiency

Running a display campaign is a time-consuming effort. Negotiating with each vendor, linking them to the ad server, applying tracking pixels unique to each placement, adding conversion tracking and click tags, sending IOs (insertion orders), monitoring campaigns and reporting from a large number of data sources… ugh.

By moving all your buying into a single platform, there are plenty of benefits that directly address these difficulties:

  • No IOs. You don’t need a separate relationship with every publisher or network. Just buy the ads, then pay the invoice.
  • Technology integrations. Almost every DSP connects well to one or more ad servers, applying pixels and click trackers automatically.
  • Reporting. One set of stats from the platform instead of separate reports from each publisher or network.

The list goes on, but overall, it means you can make a single change and apply it to every publisher you’re appearing on, a facility unobtainable without using a DSP.

Real-Time Optimization

This is the real magic of using a DSP for your display buying. Instead of evaluating a campaign’s performance at the end of the campaign, within a day you can see which placements, which content, which remarketing lists aren’t working.

You can tweak a bid for a target, and it’ll work across all websites. You can add a demographic filter, and it’ll work across all content.

By treating display across all ad networks the same way you’d treat PPC or the GDN, you can bring the benefits of ongoing campaign optimization to display campaigns.

A DSP also gives you access to third-party data, allowing you to create more targeting options than before, especially when those data points overlap.

What About My Trading Deals?

DSP-based campaigns don’t totally preclude your ability to negotiate deals with your top partners. There are a variety of systems built into most DSPs to help allow this, most importantly the Private Marketplace (PMP).

A private marketplace allows publishers to make their inventory available programmatically, but without being a totally open auction. Only approved advertisers (i.e., those with a deal with the publisher) can take part.

Auctions are likely to have a floor price, and they may provide exclusive access to higher-quality inventory, richer ad formats and so on. There is often a minimum spend agreed to become part of a private marketplace.

How Do I Choose A DSP?

This is the tricky bit. Each major DSP is different — different ad networks, different bidding algorithms, different tech integrations and different user interfaces.

The most common reasons for choosing one DSP over another are their tech integrations. If you’re a heavy PPC advertiser, then a DSP that integrates to your paid search platform can enable some new features (integrated cross-channel attribution, search to display retargeting).

If you use a specific ad server or attribution tech, if your eCRM (electronic customer relationship management) and DMP (data management platform) technologies work together, then your DSP should be able to buy against those audiences.

Think about your entire ad tech ecosystem, and make sure that you’re using a platform that helps tie it all together.

There is a cost associated with using a DMP, typically a percentage of the spend. It almost always pays itself back, but the cheapest isn’t always the right option for you.

MarTech Today: Next Penguin Update, Unmetric Predicts Social Posts & Call Analytics Platforms

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Here’s our daily recap of what happened in marketing technology, as reported on Marketing Land and other places across the web.

From Marketing Land:

From Around The Web:

Thursday 29 October 2015

Google To Combine Android And Chrome Operating Systems Into One

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This afternoon the Wall Street Journal reported that Google will be “folding” Chrome into Android. What this means as a technical matter may be complicated; what it means practically is simple: Android has won.

From a developer point of view it makes sense to combine the two operating systems to minimize fragmentation. Yet Google and its OEM partners have had considerable success with Chromebooks. But compared to Android, the globe’s dominant computing platform, Chromebook sales are meager.

Some people have remarked that “folding” is a euphemism for “killing” Chrome. However the WSJ article asserts that Google engineers are creating a hybrid operating system:

Google engineers have been working for roughly two years to combine the operating systems and have made progress recently, two of the people said. The company plans to unveil its new, single operating system in 2017, but expects to show off an early version next year, one of the people said.

In a sense this combining of operating systems mirrors Microsoft’s go-forward approach with its single, “responsive” Windows OS. Apple has gone in the opposite direction, developing overlapping yet distinct operating systems for Macs, mobile devices, the Apple Watch and most recently Apple TV.

A harbinger of the change was the recent introduction of the Pixel C tablet, which is like the Chromebook Pixel but uses Android rather than Chrome OS. My unsubstantiated sense is that Chrome apps were not widely used let alone a revenue generator for developers or the company. The new hybrid OS will have the advantage of access to Google Play apps.

The WSJ article concludes by saying that “Chromebooks will get a new, as yet undetermined name,” while Chrome will remain the name of Google’s popular browner.

LinkedIn Beats Q3 Estimates With 78 Cents Per Share Earnings, $780M Revenue

LinkedIn reported a very strong third quarter in its latest earnings announcement on Thursday.

The social network reported total revenue of $780 million, a 37 percent increase year-over-year. The company’s Marketing Solutions division saw annual revenue increase 28 percent, while Talent Solutions and Premium Subscriptions saw revenues go up 46 percent and 21 percent, respectively, compared to a year ago.

The Q3 earnings per share of 78 cents was almost double the expected 46 cents, and was up from last year’s 52 cents EPS.

Member Count Also Rising

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LinkedIn says it ended Q3 with 396 total members, and hit the 400 million member milestone just last week. That 396 million count is a 20 percent YoY gain. A good portion of the membership gains are happening in China, where CEO Jeff Weiner says the company now has 13 million members — up more than 300 percent since LinkedIn launched a local language version there in early 2014.

The company also reports a 33 percent increase in member page views, and says mobile now represents 55 percent of all LinkedIn traffic.

Weiner says LinkedIn will launch a new mobile app next month.

TAG Launches Anti-Fraud Program To Register Advertisers And Publishers

TAG registration seal (PRNewsFoto/Trustworthy Accountability Group)

TAG registration seal (PRNewsFoto/Trustworthy Accountability Group)

An ad industry group is today announcing a new program it hopes will counter fraudulent digital ads by registering legitimate advertisers and publishers.

Called Verified by TAG, the initiative by the Trustworthy Accountability Group — the TAG in the program’s title — will set up a Registry of advertisers and publishers that are certified as legitimate. Acceptance into the TAG Registry will require a background check and review process.

TAG’d companies will receive an identifier they can use to show their status, and the expectation is that participants in the ad ecosystem will require the identifier in order to do business.

Additionally, an upcoming Payment ID system will connect ad inventory to the parties that receive ad payments. This linkage is intended to counter, for instance, the use of software bots and other fraudulent means to generate fake ad traffic and thus collect payments for impressions that no one actually sees.

TAG CEO Mike Zaneis said in a statement that the two parts of the initiative will act as a kind of “‘two-factor authentication’ for the digital ad supply chain.” Buyers, he said, will know that they are working with trusted parties, and payments within the system will go only to “legitimate players.”

Major industry players like AOL, AppNexus, Index Exchange, Google and Rubicon Project have pledged their support, as well as the five largest global ad holding companies — Dentsu Aegis, Interpublic, Omnicom, Publicis, and WPP.

Jim Spanfeller, CEO of the Spanfeller Media Group, former CEO of Forbes.com and a critic of the lack of transparency in the programmatic ad ecosystem, told me that he is “very much in favor of this initiative.”

“By making bot behavior unprofitable, we take away the motivation to do it,” he said. “As this gains momentum, we will see a drastic reduction in the available inventory in third-party exchanges and such.”

By some estimates, ad fraud costs the industry about $18.5 billion each year, and it is growing rapidly. One question, however, is whether fraudsters can still scam the system by setting up fake identities. After all, with so many publishers and advertisers, it’s not clear if TAG will have the resources to vet them all. Additionally, it’s entirely possible that zillions of web sites and their ads will continue to exist outside this system.

TAG was formed last November by three major digital ad industry organizations – the American Association of Advertising Agencies, the Association of National Advertisers, and the Interactive Advertising Bureau. In July, TAG created a master blacklist of IP addresses associated with bot-generated ad requests involving data centers, based on a Google database.

Last Chance to Enter the SocialPro Biggest Social Geek Contest

The contest ends on October 30, so play now and prove you’re the geek to beat!

Enter the second annual SocialPro Biggest Social Geek Contest, sponsored by Marin Software. The contestant who can answer the most questions in the shortest amount of time will win the grand prize – a flight and hotel accommodations for two to Marketing Land’s SocialPro conference in Las Vegas, Nevada on November 18-19, 2015. The winner will also receive their choice of an Apple iPad Mini, Sony PlayStation 4, or an Xbox One.

The 2015 contest is open to contestants in the United States, United Kingdom, Canada, France, Germany and Australia and ends on October 30, 2015 at 11:59 p.m. Pacific Time.

Time is running out, so take the quiz today!
http://ift.tt/1y6KO77

Marketing Day: Facebook’s Slideshow Ads, REI’s #OptOutside Campaign & Mobile Holiday Strategies

Here’s our recap of what happened in online marketing today, as reported on Marketing Land and other places across the web.

From Marketing Land:

Recent Headlines From Search Engine Land, Our Sister Site Dedicated To Search News & Information:

Online Marketing News From Around The Web:

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Business Issues

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Copywriting, Design & Usability

Display & Contextual Advertising

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MarTech

Mobile/Local Marketing

Social Media

Video

SEMPO Releases State Of The Industry Report 2015

sempo-logo-1920SEMPO, the Search Engine Marketing Professional Organization, has released the 10th state of the industry report, a survey of more than 500 digital marketers and agencies about their online marketing activities across digital channels. The report breaks out responses by agencies/consultants and marketers/clients to provide insights from these these two different groups.

SEO is the most prevalent marketing activity conducted by both individual marketers/clients (94 percent) and agencies/consultants (92 percent) among the respondents who completed the SEMPO survey. That’s not all that surprising as SEOs are most likely to be familiar with SEMPO in the first place. Interestingly, though, these rates are quite a bit higher than the 85 percent that said they were doing SEO in 2013, the last time the survey was taken.

Among this year’s respondents, 84 percent of agencies/consultants and 83 percent of marketers/clients say their organizations run paid search campaigns. Marketers’ organizations are slightly more likely to be running social media and email campaigns than paid search.

And, more marketers/clients organizations carry out SEO, social media marketing, display advertising and email marketing efforts than agencies, which were stronger in paid search (though just slightly), social media advertising and mobile marketing.

marketing activities sempo report 2015

The chart above shows relatively low participation rates in mobile marketing. This is likely open to interpretation, though. The majority of respondents may not be running app promotion campaigns, for example, or other campaigns explicitly mobile-oriented, but are running campaigns that are distributed automatically across devices — certainly much more so than in 2013.

Among the marketer/client respondents, 75 percent said they manage digital media in-house, while 81 percent of agencies/consultants said they manage digital media for their clients.

Social Media Management

On the social front, 65 percent of marketers said their organizations manage social media properties in-house. Among agency respondents, 66 percent manage social media properties for their clients. The majority of agencies are managing Facebook ad campaigns, while more marketers say they manage Facebook promoted posts, YouTube ads, LinkedIn ads and Twitter ads than the agency respondents.

social channels used, sempo 2015

Agency Fee Structures

Agency respondents were asked about the fee structures they used to charge clients for digital media marketing services by channel. (They could check one response for each channel.) For SEO and Social Media services, by far the two most popular structures are to charge a flat fee or by time and materials.

For paid search, charging by percent of media spend was the most popular fee structure with 32 percent of agencies charging this way, followed by 28 percent charging a flat fee and 21 percent charging for time and materials. This pattern was fairly similar for display campaigns. For paid social services, most agencies charge a flat fee (29 percent).

Just over 40 percent of agencies managing non-paid social media for clients charge a flat fee. About a third charge for time and materials.

Very few agencies are charging on a commission basis. The numbers are highest for SEO services with nearly 9 percent of agencies charging on a commission basis for sales or other marketing objective.

agency fee structures, sempo 2015

For disclosure, Marketing Land and Search Engine Land partnered with SEMPO on the survey in promoting it to our audiences. Survey respondents and SEMPO members will receive a copy of the 56-page report. New members who join SEMPO can also download the study and partake in a members-only webinar featuring panelists from both agency side and client side to complement the results.

Facebook Introduces New “Slideshow” Ad Unit For Emerging Markets, SMBs

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Today at an event organized to discuss Facebook’s growth opportunity in emerging markets the company introduced a new ad unit called “Slideshow.”

Slideshow is a new video substitute — although Facebook calls it video — that is principally designed to play in markets were mobile connections are slow or unreliable. Companies like Coke can use it to create more dynamic and engaging ads for users on a 2G connection, in India for example.

The idea is that Coke (which participated in the beta) will create two campaigns: one a traditional video, the other a Slideshow. Facebook will detect the user’s connection speed and then show the appropriate ad.

Coke Slideshow FB

Perhaps more interesting is the way that this unit might be used by small businesses (SMBs) around the world to create self-service “video” ads. Here’s how the blog post describes Slideshow creation:

Slideshow makes it easy for advertisers to create video ads from still images. Simply upload three to seven still images—they can be from an existing video, a photo shoot or even stock imagery from our library—and choose the length of your slideshow, from 5 to 15 seconds.

Slideshow reduces the need for video production time and resources, and because of its smaller file size, it extends eye-catching ads to people on basic devices or with poor connectivity. In early testing, we found that a 15-second slideshow can be up to 5x smaller in file size than a video of the same length.2 Slideshow uses video-like motion and no sound, giving advertisers a new way to tell brand stories to people everywhere.

Facebook says that Slideshow is now available but will be rolling out over the coming weeks to Power Editor and Ads Manager. There is no additional cost to use the tool.

It will likely be available as an ad option on Instagram. There was also a suggestion that Slideshow might be available in the future to create organic posts. That’s still being determined (though assume yes).

At the event Facebook said that more than half of its revenue comes from non-North American markets and that the next two billion users will come from places where the dominant form of internet access is mobile but on slow connections.

Adobe Predicts Online Holiday Sales To Hit Record $83B, Cyber Monday To Generate $3B

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After last year’s record-breaking holiday season, Adobe predicts 2015 will grow even more, with total online spending during the holiday season to reach an all-time high of $83 billion – an 11 percent year-over-year increase.

According to the Adobe Digital Index 2015 Holiday Shopping Predictions, this year’s Cyber Monday online sales will see a 12 percent year-over-year increase, climbing to a record $3 billion in one day.

The biggest jump will happen on Thanksgiving Day reports Adobe, forecasting online sales to be up 18 percent year-over-year at $1.6 billion on the holiday. The following day – Black Friday – is expected to generate $2.7 billion in sales.

Adobe’s Online Holiday Sales Predictions

Adobe online holiday sales forecast

Adobe says for the first time-ever the majority – 51 percent – of online shopping visits on Thanksgiving Day will happen on mobile, with 29 percent of online sales that day happening on a mobile device – up 12 percent year-over-year.

Adobe’ Holiday Mobile Activity Predictions

Adobe online holiday mobile forecast

Looking at the full holiday season, Adobe says eleven percent of e-commerce will happen on a phone and nine percent on tablets. The report also broke down numbers by type of mobile devices, predicting iOS to drive 22 percent of online holiday sales, while Android will represent seven percent.

Adobe says iPhone users are 23 percent more likely to make purchases on their smartphone than Android users.

The report also predicts what part social will play in this holiday season’s e-commerce activity. According to Adobe, social will only drive two-percent of visits to retail websites during the holidays, with revenue per Facebook visit averaging $1.24, Pinterest $0.74 and Twitter $0.60.

Adobe says online shoppers will have the best chance of finding discounts this holiday season via display ads and social media – search will be the least effective channel for finding holiday deals.

Best Online Channels To Find Holiday Discounts

Adobe report where to find deals

Adobe says it has the most comprehensive report on the subject matter, claiming $7.50 of every $10.00 spent online with the top 100 U.S. retailers go through the Adobe Marketing Cloud. Its 2015 shopping predictions are based on the evaluation of 55 million product SKUs, along with data from more than a trillion visits to 4,500 retail websites during the last seven years.

Overall, Adobe predicts this year’s holiday online sales in the U.S. will account for 22 percent of the country’s total e-commerce activity in 2015.

Adobe’s Predictions For 2015 Online Holiday Sales

adobe online sales forecasts by day

The full 63-page Adobe report – which also includes predictions around the most popular online product purchases this holiday season, as well as international holiday e-commerce forecasts – can be reviewed here: Adobe Digital Index 2015 Holiday Shopping Predictions.

REI Urges Folks To #OptOutside In Its Social Anti-Campaign For Black Friday

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In an environment in which Christmas advertising starts appearing in October and Black Friday at some retail stores is marked by life-threatening mob scenes, outdoor products retailer REI is opting out, or more accurately, choosing to #OptOutside this year. In a move consistent with the brand’s values, the company’s CEO this week announced that REI would be shuttering its stores and its website on Black Friday, giving its employees the day off so they can engage in outdoor activities and rallying anti-consumerism sentiment in social channels.

Said Jerry Stritzke, president and CEO of REI, in a statement:

We think that Black Friday has gotten out of hand and so we are choosing to invest in helping people get outside with loved ones this holiday season, over spending it in the aisles. Please join us and inspire us with your experiences. We hope to engage millions of Americans and galvanize the outdoor community to get outside.
REI CEO Jerry Stritkze

REI CEO Jerry Stritzke

The campaign centers around the #OptOutside hashtag and a microsite built for the occasion at http://ift.tt/1H5e6DG, though the PR the brand has garnered, and will garner, through this move has not been inconsiderable. So far, it has included a write-up in USA Today.

Since REI is a member-owned cooperative, Stritzke kicked off the effort by emailing its members, telling them, “While the rest of the world is fighting it out in the aisles, we hope to see you in the great outdoors,” and urging them to visit the microsite to customize their own #OptOutside message and share it via social media.

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The microsite, rather than featuring products, is flush with stunning panoramic views of mountains, trails and sparkling bodies of water — many of which can be used as backgrounds for the customizable social media messages the brand is encouraging.

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The site aggregates those social messages on a gallery page which, at the time of this writing, proclaimed that 734,102 people are choosing to #OptOutside on Black Friday.

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Additionally, the site allows people to look up nearby recreation destinations by ZIP code, location and activity:

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Besides promoting it via PR and enlisting its members to support the campaign socially, REI has also put together a series of videos explaining its decision and reiterating its brand values. These :30 videos appear on YouTube and look likely to be used as TV spots, although brand representatives haven’t responded to an inquiry about that aspect of the campaign.

 

Additionally, REI has been spreading the word on its other social channels:

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Unmetric Unveils Prediction Engine For Social Posts

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Unmetric’s purpose in life has been analyzing past social data and figuring out what your competitors are doing, so you can adapt your strategy.

Today, the New York City-based social media intelligence platform is, for the first time, looking to the future with a new Predict product on its platform. The new offering estimates how much user engagement your brand’s social post will generate — and ways to tweak it to get more.

“We’ve never done anything predictive” before, CEO Lux Narayan told me. “Everything so far was like a rear view mirror.”

He pointed to Isaac Asimov’s Foundation series of novels as an inspiration. In those classics of science fiction, “psychohistory” plays a starring role as the ability to make predictions about large social groups based on past behavior. In one form or another, that’s the same idea behind the current wave of predictive analytics and marketing.

To develop the prediction engine vertical by vertical, Unmetric took about 6000 Facebook brand-generated posts that related to automobiles. Analysts tagged 4500 of them for such characteristics as structure, tone, intent, and context, creating what Narayan called “a fantastically rich data set.”

The 4500 were then processed via machine learning, in an effort to determine the hidden clues that forecast the highest engagement levels for sharing, commenting, and likes.

Based on relationships discovered in this “training set” between content elements and engagement performance, the engine then tackled the unsorted, remaining 1500 posts in an effort to “predict” their engagement. Since they had been posted, of course, the predictions could be measured against their actual engagement.

At first, Narayan said, the error rate was high, about 45 percent. By fine-tuning the engine, it has been brought down to what he considers a more acceptable 14 percent.

To use Predict, a marketer submits a post and answers multiple-choice questions, like whether the brand’s post is part of a campaign and what kind of campaign, if any.

The analysis is currently text-based, so the qualities of any image in a post are described by answers given by the marketer. Predict offers a visual indicator of how much user engagement the post is likely to generate, and provides up to four tips on ways to improve the post’s chances, such as in the following screen:

Unmetric_1280

At some point, Narayan said, Unmetric expects to utilize a third-party machine vision solution to scan the image directly, but for now the system’s understanding of the accompanying image is entirely derived from the marketer’s answers.

A user can also manually enter social posts from a competitor, so that a brand’s own posts can benefit from the kind of competitive social intelligence that Unmetric specializes in.

The Predict engine will be tuned for each specific vertical. At launch, it is available only for Facebook posts, although Narayan said Twitter is coming soon, with support for Pinterest and Instagram “in about four months.”

Unmetric says it doesn’t yet have field results on how effective Predict is. Narayan acknowledged that predictive tools for social posts exist on platforms like Adobe’s Marketing Cloud, but added that those are for a brand’s own posts and are not designed for analysis of what works in competitors’ posts.

There are also prediction tools for social media trends and others that purport to forecast if a post will go viral, but he said they’re not focused on competitors, brands’ own posts, and engagement.

Despite New Mobile Tech, Marketers Favor Coupons For Offline Attribution

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There are now a variety of ways to determine whether someone who was exposed to an ad visited a store (that includes TV and out-of-home). While there are different methodologies, a number of companies, such as xAd, NinthDecimal, PlaceIQ, Placed, Google and Facebook are increasingly mapping online and mobile ad exposures to in-store visits.

Online to offline attribution is important because the physical world is where most purchases occur — trillions vs. billions — and marketers won’t have a true understanding of the efficacy their media buys without these metrics (unless they’re pure e-commerce).

In the past marketers sometimes used coupons/codes for offline attribution and later call tracking (as a proxy for store visits). Yet what a new survey and report from Marchex discovered, however, is that despite an increasing arsenal of sophisticated methods for offline attribution, marketers still favor coupons.

Marchex Survey

Among the survey questions were two about mobile marketing channels and campaign objectives. Mobile web display advertising was the most common channel, followed by in-app display and then video. Search was fourth on the list. Whether this is because of limited mobile search inventory or a turn toward other channels is an open question.

The top objective for these marketers was lead-gen, followed by store visits/purchases. Thereafter marketers were trying to generate mobile-commerce sales (difficult). Driving calls and app downloads followed as desired outcomes.  Marchex Survey

Among the roughly 48 percent of survey respondents seeking to motivate store visits and purchases, “mobile coupons” was the most common way to measure the impact of campaigns. It was also regarded as the most effective way to do attribution — admittedly, coupons do have the advantage of being able to track sales vs. store visits.

The second most common tracking and attribution method was “using mobile phones as in-store points of purchase.” It’s not entirely clear what this means but could refer to in-store mobile payments or in-app payments conducted within the store.

The survey findings remind me of a recent study carried out by the IAB that show marketers recognize the value of “big data” but are often stymied in their ability to understand and fully utilize it. The simplicity and familiarity of coupons (and consumer appeal) is partly responsible for marketers’ reliance on them as an attribution tactic.

Marchex attribution survey

The Marchex survey was conducted online in September and October among 200 agencies, publishers and brands.

Report Finds Black Friday Email Open Rates Highest On Monday & Tuesday Before Thanksgiving

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Going on last year’s campaign results, Yesmail says retailers are waiting too late to send their Black Friday-themed emails and Facebook posts.

According to a report from the email marketing provider, open rates for Black Friday emails were the highest on the Monday and Tuesday preceding Black Friday, but the majority of email campaigns – 33 percent – were sent on Thanksgiving Day and Black Friday.

2014 Open Rates For Black Friday-Themed Emails

yesmail black friday email report 2015

Yesmail notes the Monday prior to Black Friday also saw the highest deletion rates: “While Monday before Black Friday saw the highest open rates for Black Friday-themed emails, it also saw the highest delete after open rates – 6.6 percent.”

Looking at social posts, Yesmail’s report revealed the same trends on Facebook, with the majority of retailer Facebook posts happening on Black Friday, while Facebook engagement around Black Friday-themed posts was highest on the Sunday before Black Friday.

2014 Facebook Engagement Rates for Black Friday Themed Posts

yesmail black friday report 2015 Facebook engagement

Twitter results were slightly different with the majority of engagement for Black Friday-themed tweets happening closer to Black Friday.

For the last two years, Yesmail says Twitter engagement for Black Friday-themed tweets has been highest on Thanksgiving Day, although the majority of Black Friday tweets last year – 40.1 percent – happened on the Tuesday before Black Friday.

Yesmail’s report analyzed email and social campaigns sent by retailers between November 23 through November 28, 2014, and compared results to the same time period in 2013. While Yesmail’s study was confined to only 50 retailers, the firm says a number of major brands were included, such as Macy’s, Target, Best Buy, Toys R Us and Nordstrom.

The full report from Yesmail can be downloaded at: Social Media and Email Best Practices for Week-Of Black Friday Promotions.