28.4.17

Google doodle celebrates Marie Harel, the inventor of Camembert cheese

Today’s special Google doodle honors the inventor of the Camembert cheese. Marie Harel was born 256 years ago today in Crouttes, France. She invented the Camembert cheese back in 1791, at the age of 30.

The Google doodle shows the steps it takes to make Camembert cheese in nine different Google logo slides. Google said that the “Doodle celebrates Harel’s 256th birthday with a slideshow that illustrates how Camembert is made, step by step.” “It’s drawn in a charming, nostalgic style reminiscent of early 20th-century French poster artists, such as HervĂ© Morvan and Raymond Savignac,” they added.

Her work earned her a statue in Vimoutiers in France.

Marie Harel lived to the age of 83 and died on November 9, 1844.




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The future of local discovery

We’ve entered an exciting time for local marketing. Big Data, digital assistants, augmented reality and beacons will fundamentally change the way users discover locations. As Bob Dylan so aptly pointed out, “The times they are a-changin’.”

As such, local marketers and advertisers need to start thinking about how they’re going to change along with the times. Here’s what you need to know about the future of local discovery.

Big Data: ‘Who’ informs ‘where’

Proximity is the primary ranking factor in local searches. That’s not likely to change. After all, what’s nearby is the fundamental aspect of local discovery.

What is changing, however, is the filter that sorts out, ranks and presents those nearby locations. What filter, you ask?

It’s you.

Going forward, local discovery will function as proximity filtered by your individual preferences. The person searching will inform what locations are shown.

In truth, this is nothing new. Google, Bing, Safari and Yahoo have been personalizing search results for some time through tracking your browsing history. What is new is the sophistication of artificial intelligence and Big Data analytics.

With the burgeoning Internet of Things, the amount of customer and behavioral data is growing by the day. Even if Congress hadn’t cleared the way for internet services providers (ISPs) to sell your data, what marketers and advertisers know about customers was only going to increase thanks to the growing data fiefdoms of Google, Facebook, Apple, Amazon and Microsoft.

For good or ill, the ability to use that information to target the right customer with the right message at the right time is maturing. In fact, even back in 2012 ,Target had the capability to use data mining to predict the pregnancy of a teenager before her father could deduce the news himself. Big Data has come a long way since then.

In the case of local discovery, Big Data will help search engines personalize local results based on a user’s preference. The more the search engines know about you, the more relevant search results and maps will be.

For example, a search for nearby restaurants might include ranking factors such as your favorite dishes, food allergies, price point, time of day and how long it was since your last visit. Meanwhile, a search for a nearby product such as shoes might be filtered by your favorite brand, shoe color, size and any ongoing sales.

However, knowing your customer and targeting your customer are two different things. There needs to be a means of surfacing local information in a unified way, and that need will undoubtedly be addressed by digital assistants.

Digital assistants and voice search

Digital assistants will serve as the connection between customer profiles and the preferred locations and products around them.

Digital assistants will be everywhere. On your phone, in your car, your house, your office — everywhere and inside everything connected to the internet.

The ultimate goal of Google Assistant, Amazon Alexa, Microsoft’s Cortana and Apple’s Siri is to become that universal connection between the physical and digital worlds.

In the context of local discovery, think of a digital assistant as your very own personal Rick Steves, providing you with everything you’d ever care to know about a location — and then some.

This omnipresent assistant, part tour guide, part planner, part shopping liaison, will provide users with the most relevant and personalized local recommendations for anything you can imagine.

And thanks to voice search, digital assistants are always listening.

Google Home and Amazon Alexa operate in this mode by default, and Apple’s latest iPhone update is pushing users to set up voice activation for Siri.

In addition to enabling ambient listening, voice activation establishes voice biometrics, which will allow digital assistants to become device-agnostic.

Whether it’s smart cars, smart homes or smart offices, the ability to distinguish between users is critical to translating your personal preferences regardless of location or device. This will provide a consistent user experience without a disruption to conversational context.

In fact, Google Home recently made progress on this front by being able to recognize up to six different voices from one device. It’s not hard to extrapolate this trend to the point that digital assistants will be able to recognize who you are regardless of where or what device you’re using.

Soon you’ll be able to make dinner reservations by talking to the digital assistant embedded in your hotel room, order an Uber from the digital assistant on your phone as you walk to the lobby and check your flight from the digital assistant inside your autonomous Uber — all without breaking the conversational context with your digital assistant.

Augmented reality

With the rise of voice search, it’s also necessary to replace the traditional screen on your phone and monitor. A picture is worth a thousand words, so it’s unlikely that even a sweet-talking digital assistant will replace our need to visualize what’s in front of us.

As I outlined in a previous article, the solution to traditional screens is to replace them with augmented reality — your smartphone transforming into smart glasses. Based on Facebook’s recent plans for augmented reality, this indeed seems to be the direction we’re heading.

In my mind, augmented reality is likely to be one of the more exciting and less privacy-invasive developments of local discovery. You’ll be able to scout out a local restaurant, visualize the precise location of a product on a shelf or interact with custom location-based content triggered with beacons. Which brings me to the final trend you should be keeping an eye on.

Beacons

Proximity targeting will flourish with the rise of augmented reality and digital assistants.

Beacons are perfect for surfacing content in a user’s immediate proximity. The challenge right now is alerting users to beacons. However, if everyone has a digital assistant embedded in their augmented reality glasses, it will be easy for users to discover beacon content and have that content personalized based on personal preferences.

Whether it’s triggering a coupon for a customer’s most likely purchase as he walks by a store entrance or promoting a fast food restaurant as a vehicle exits the interstate off-ramp, the potential for beacons is tremendous.

Start preparing now

Many of these developments might seem too far out in the future. However, technology is evolving at an exponential rate. The time to start preparing and laying the groundwork for these marketing developments is now.


Some opinions expressed in this article may be those of a guest author and not necessarily Search Engine Land. Staff authors are listed here.




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Search in Pics: Bing body painting, Google airplane seat room & hallway race track

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. Google meeting room that looks like an airplane: Source: Instagram Bing body...

Please visit Search Engine Land for the full article.


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Search Buzz Video Recap: Google Owl & Updates, AMP Bugs & How Search Works

This week in search, Google documented their fake news efforts code named Project Owl. We covered a potential Google algorithm update, but it is unclear if there really was a big update. Google told publishers to noindex content from the AP...


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Amazon beats expectations in Q1 2017 with 23% jump in revenue

Amazon crushed expectations with its Q1 2017 earnings report Thursday.

The company reported net sales revenue of $35.7 billion, a 23 percent spike from Q1 2016’s revenue of $29.1 billion. That’s just slightly above what analysts expected. The bigger surprise was earnings per share (EPS) of $1.48, way above the $1.13 that analysts had predicted. Amazon’s EPS a year ago were $1.07.

In Amazon’s earnings announcement, CEO Jeff Bezos specifically called out the success of his company’s recent investments in the Indian e-commerce market:

“Our India team is moving fast and delivering for customers and sellers. The team has increased Prime selection by 75% since launching the program nine months ago, increased fulfillment capacity for sellers by 26% already this year, announced 18 Indian Original TV series, and just last week introduced a Fire TV Stick optimized for Indian customers with integrated voice search in English and Hindi,” said Jeff Bezos, Amazon founder and CEO. “We’re grateful that customers are responding — Amazon.in is the most visited and the fastest growing marketplace in India. It’s still Day 1 for e-commerce in India, and I assure you that we’ll keep investing in technology and infrastructure while working hard to invent on behalf of our customers and small and medium businesses in India.”

The company’s stock, which closed Thursday at $918 per share, was trading up an additional 3 to 4 percent after hours and hovering around $950 per share.




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MarTech Today: Watson Marketing Insights, Twitter’s channel partners & getting your app indexed/ranked

Here's our daily recap of what happened in marketing technology, as reported on MarTech Today, Marketing Land and other places across the web. From MarTech Today: IBM enlists Watson to define customer segments and insights Apr 27, 2017 by Barry Levine Through a newly expanded Marketing Insights, the supercomputing platform is defining customer groups by such goals as engagement and long-term value. Brandwatch, Crimson Hexagon join Twitter’s channel partner program Apr 27, 2017[...]

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Microsoft reports $23.5 billion in revenue but misses Wall Street expectations

Microsoft announced quarterly earnings Thursday afternoon, with earnings that beat expectations, while revenues just missed Wall Street consensus estimates.

The company reported $23.5 billion in revenue and earnings of $0.73 per share. Financial analysts had expected $23.6 billion in revenue and earnings of $0.70. Shares were down roughly 1.5 percent in after-hours trading.

Here are the company’s three business segments and their respective revenues:

  • Productivity & Business Processes — $7.96 billion (up, driven by LinkedIn and Office 365)
  • Intelligent Cloud — $6.76 billion (up)
  • More Personal Computing — $8.84 billion (down)

LinkedIn contributed $975 million in revenue to Productivity & Business Processes.

More Personal Computing was the source of the revenues miss and was down 7 percent overall. In particular, Surface revenue was off a surprising 26 percent. However, Windows OEM revenue grew 5 percent. Search ad revenue was up 8 percent. 

More detail, including the earnings slides, available here.




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