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AI You Can Drive My Car: Anxiety and Autonomous Vehicles at CES

Posted by Megan McManaman

Wed, Jan 16, 2019

autonomous cars

In December, The New York Times reported that disgruntled Arizonans were lobbing rocks at Waymo’s autonomous (but not unoccupied) vans. Experts, and the rock-throwers themselves, blamed the attacks on a combination of economic anxiety and safety fears (a woman was struck and killed by a self-driving Uber in Tempe last March). While it’s unlikely any modern-day Luddites attended last week’s CES in Vegas, companies like Intel and Baidu, and even Transportation Secretary Elaine Chao were hard at work addressing consumer fears.

With Congress expected to consider legislation regulating autonomous vehicles—the intense conversation and debate over security and safety will remain front and center. Counting out the projectile-hurling robot-haters (for now), what’s it going to take for average consumers to purchase, ride in, and share the road with these vehicles? That’s the billion(s) dollar question we set out to answer in our self-funded Consumer Pulse.

We surveyed 2,000 U.S. consumers (thanks to Dynata for providing sample!), conducted ethnographies, and in-depth interviews—including ride-alongs—to identify the segments of the adult U.S. population that have different reactions to and perceptions of a range of assisted and autonomous driving scenarios. We went beyond the typical examination of functional benefits to understand the emotions (both positive and negative) driving and deterring greater acceptance and adoption.

Chris Neal, CMB’s VP of Tech and Telecom, will share the results at the Quirks Event on March 5 at 4:15pm in Brooklyn.

Want an advance copy of the report this spring?

Click here

Megan McManaman is CMB's Marketing Director, she welcomes our new robot chauffers.

Topics: Artificial Intelligence, technology research, Consumer Pulse

Personalization, Privacy and the Creep Factor

Posted by Julia Walker

Wed, Jul 25, 2018

online shopping

You’ve seen it before: a pair of shoes that follow you all the way from Zappos.com to Facebook, or even creepier, when you have a conversation about Patagonia and suddenly, Instagram serves you an ad for their latest down jacket. Today’s marketers don’t have to guess where to place their ads anymore. Instead, they track online behavior to tailor ads, offers, products, and experiences to the specific consumer.

Leveraging online consumer behavioral data for personalization is now a standard marketing strategy, but what are the implications for brands and consumers?

Personalization drives consumer behavior. In fact, 80% of people are more likely to do business with a company if it offers them a personalized experience. Amazon revolutionized personalization when they rolled out their product recommendation algorithm—a feature some attribute to their huge sales increase (29% in the second fiscal quarter) in 2012. And it’s only advanced since then. With the help of AI and big data, brands can deliver highly custom experiences to consumers. Now, personalization spans devices, following you from your tablet to your desktop, and can recommend your next TV binge or anticipate an unmet need.

Personalization can also inspire loyalty, which means a greater customer lifetime value and possible advocacy. With forty-four percent of consumers saying they will likely make additional purchases after a personalized shopping experience, this is a tremendous opportunity for brands to break through the clutter with tailored messaging and offers.

But is there such thing as too much personalization? As brands continue to collect data to better understand and serve their customers, where does the line between service and invasion of privacy begin to blur? InMoment's 2018 CX Trends Report found that 75% of consumers find most forms of personalization at least somewhat “creepy”. And while half of consumers admitted they’d still shop with the brand after a creepy experience, almost a quarter reported it would drive them to a competitor.

The stakes are high for companies collecting customer data: 70% of consumers would stop doing business with a company that experienced a data breach. And this data is exactly what enables brands to personalize their offerings.

So, we’ll continue to see this tension play out across industries—while consumers continue to expect more personalization, brands must deliver tailored experiences without risking the creep factor.

Julia Walker is a Project Manager at CMB and an avid online shopper whose decisions are often influenced by algorithm recommendations.

Topics: data privacy, ecommerce, Artificial Intelligence, retail research

[New Webinar] Winning the Virtual Assistant War

Posted by Chris Neal

Tue, Jul 10, 2018

Have you ever asked Siri for the weather? Or maybe you've had Alexa look up a dinner recipe. Siri, Alexa, Google Assistant, and others have become household names as more people adopt virtual assistant technology. But most people are still only using their virtual assistants for basic search functions.

In this latest 20-minute webinar, I explore:

  • The barriers keeping people from using this tech
  • How emotional and identity benefits can drive mainstream consumer adoption and deeper engagement
  • What brands should do to drive adoption and win the VA war

Watch Now

While this webinar looks at the virtual assistant category, there are valuable learnings for anyone  experiencing disruption within their industry.

If you have any questions about the research, please reach out to to me directly at cneal@cmbinfo.com.

Chris Neal is CMB's VP of Tech and Telecom and has over 20 years of experience in the high tech, telecom, and media space.

Topics: webinar, Artificial Intelligence, technology research

How to Win Virtual Assistant Rejecters Over

Posted by Chris Neal

Wed, Jun 20, 2018

It seems like every week, tech giants are adding new features to their virtual assistant (VA) tech arsenal. See Google’s new Duplex technology—an AI system for accomplishing real-world tasks by phone. 

While companies are pouring millions into making their virtual assistants smarter and more integrated, most users don’t stray beyond its basic functions like asking for the weather.

Learn about the emotional and social identity dimensions keeping people from adopting and using this tech to its full potential, and what brands need to do to win the VA war.

CMB01_VA_Infographic_07_AW

Topics: Artificial Intelligence, Consumer Pulse, AffinID, emotional measurement, technology research

Consumer-Driven Ideas from Leaders at Keds, NYU, and Alibaba

Posted by Julie Kurd

Thu, May 17, 2018

Yale header-2A few hundred of us attended the annual #YaleInsights18 conference to listen to leaders at companies and universities including L’Oreal, Warby Parker, Keds, Alibaba, Yale and NYU Stern. Three of the sessions are recapped below. 

Are you seeding the clouds for earned impressions?  Keds CMO Emily Culp talks about the shift from the 2-minute “long form” ad to a more integrated digital strategy that incorporates quick five second video GIFs. This strategy pulls together media impressions from a mix of sources like celebrities (1M+ followers), regional influencers (500k-1M followers) and micro-influencers (1-100k followers). Keds understands that a celebrity can get 150,000 likes on a picture of them wearing Keds vs. the Keds website that can’t get the same brand heat and wholesale interest. Keds is seeding with bloggers and consumers with the goal of getting their shoes in the hands of influential people who will be loyal brand ambassadors. These shoe-wearers in turn create user generated content. Keds then builds on this digital native-first strategy by leveraging their website, social media, PR/seeding, emails, and their sell in/sell through data.

Are you using AI to personalize promotional offers? NYU Stern School Professor Anindya Ghose explained that mobile devices provide atomic levels of behavioral data because they are owned and used by a single person. Specifically, companies can “know” the device’s location with 91% accuracy and within three feet. He says that in addition to location, as researchers, we need to layer in time, context, crowdedness (how crowded the location is), weather, trajectory, social dynamics, saliency and tech mix to really optimize the “in the moment” promotional offers. For example, if I’m walking to the train station during my morning commute, I might be enticed by an offer at a coffee shop I never frequent.  In the evening when I return, I might be more likely to divert my habitual path for a different promotion, but not likely for a coffee. So, depending on the time of day, the offers that need to pop are different.  In fact, commuters are ALWAYS more likely to redeem an offer than non-commuters. 

Can you see the human in your consumer data or are they just IP Addresses?  Alibaba’s Lee McCabe talked about the future of commerce in a connected world. At Alibaba, they’re focusing on context, convergence and contact. Alibaba is fully vertically integrated so they can take data and consumer insight to a whole different level of identifiable, analyzable and reachable. They have real person identity, full dimension analysis (all the sites and businesses they own have a single sign on so they can see across browsing, social, media, purchase, pay, logistics, entertainment, travel) and measure all around touchpoints for the consumer. On 11/11, Singles’ Day, (think of Singles’ Day as Black Friday on a global scale), Alibaba sold 100 Maserati’s in 18 seconds and 350 Alfa Romeo cars in 33 seconds. In fact, 140,000 brands participated in Singles’ Day across 225 countries/territories, and consumers placed 812M orders that generated $25B in sales that one day.   

How are we all using multi-method and multi-source to grow our brands?  These are a few of the ways.

Yale often posts conference content to its YouTube channel to broaden its reach, and we will append this blog post if/when that channel appears.

Topics: conference recap, Artificial Intelligence, integrated data, consumer insights