What’s The Word #3…Switching a Phone Carrier

What’s The Word #3…Switching a Phone Carrier

“audience.ai” uses conversational analysis to understand our emotions, our needs, and our intent. As we use this to build predictive data segments for our Clients, we often research interesting topics. This series shares some of those findings with you.It seems it is tough to have a “long term” relationship with anyone these days.When it comes to switching conversation it's focused on the “Big 4” (Verizon, AT&T, Sprint and T-Mobile). The battle for loyalty sways mightily as consumers take...

read more
What’s The Word #2…DIY/Home Repairs

What’s The Word #2…DIY/Home Repairs

“audience.ai” uses conversational analysis to understand our emotions, our needs, and our intent. As we use this to build predictive data segments for our Clients, we often research interesting topics. This series shares some of those findings with you. In this episode, we look at the analysis from people talking about DIY projects and home repairs. As you can imagine, home repairs and DIY projects create a lot of emotions, which in turn means a lot of conversations. Posts vary from...

read more
What’s The Word #1…Home Movers

What’s The Word #1…Home Movers

“audience.ai” uses conversational analysis to understand our emotions, our needs, and our intent. As we use this to build predictive data segments for our Clients, we often research interesting topics. This series shares some of those findings with you. In this episode, we look at the analysis from people talking about moving home. Home Movers + Renting Apartment hunting was one of the most prominent topics in conversations about renting. Moreover, some users expressed how difficult it is to...

read more
How The Flexibility Of Conversational Audiences Can Help You Win March Madness.

How The Flexibility Of Conversational Audiences Can Help You Win March Madness.

How The Flexibility Of Conversational Audiences Can Help You Win March Madness. With tens of millions of people glued to TVs, computers, and smartphones during the NCAA Men’s Basketball Tournament, advertisers are all fighting for their digital attention. At audience.ai we approach things a little bit differently than most to create the optimal digital targeting audiences to reach those (still) passionate eyes. March Madness is in full swing. We are approaching the Sweet 16 and of the original...

read more
Adobe Summit News: audience.ai To Launch Predictive Data Segments into Adobe Audience Manager at Summit ‘19

Adobe Summit News: audience.ai To Launch Predictive Data Segments into Adobe Audience Manager at Summit ‘19

audience.ai is a great addition to the marketplace. Uniquely their data is built using Conversational Analysis — what we say online is translated into insights about who we are, what we want and what our intent is. At Summit, audience.ai will be officially launching their predictive data segments into AAM as part of the new partnership.   Conversational analysis has helped audience.ai answer some big questions for brands over the last 12 years. For Samsung, it was how people feel about...

read more
The Real Story of Super Bowl LIII Was That A Grassroots Meme Stole The Show From A “Boring” Game and Millions of $$$ of “Boring Ads”; We Have The Data

The Real Story of Super Bowl LIII Was That A Grassroots Meme Stole The Show From A “Boring” Game and Millions of $$$ of “Boring Ads”; We Have The Data

It’s official, one of the top 5 emotions expressed online about the game was boredom, not just for the game, but for the ads too. Only a SpongeBob meme saved the day… sort of.   This year’s Super Bowl sparked over 5.5 million social media posts, and by using a data science technique known as ‘conversational analysis’, we can see that ‘boredom’ was officially a top emotion felt by the viewers. “73% of emotions were positive. The top emotions were: Success, Desire, Happiness, Boredom, Love....

read more
Gillette — The Angriest A Man Can Get

Gillette — The Angriest A Man Can Get

Good for Gillette. It doesn’t really matter if you love or hate the message, taking a stand and putting your brand equity on the line is a hard, risky decision, yet Gillette did it.In recent examples, Nike of course just did very well from the same approach, as did Patagonia (“The President Stole Your Land”), AirBnB (#WeAccept) and Heineken (“World’s Apart”). Perhaps this is the time we will remember that brands really started standing for something?But wow Gillette, this one really has people...

read more
Can consumer conversation be the key to predicting a billion-dollar video game launch in 2018?

Can consumer conversation be the key to predicting a billion-dollar video game launch in 2018?

October was a massive month for video game sales with three of the biggest titles of 2018 dropped over the course of a few weeks. With Bethesda’s Fallout 76 launching in mid-November can we expect another weekend blockbuster and maybe even another record setting sales figure? Let’s see what the data says.   For context we should look back at 2018 to this point. Early in the year Ubisoft’s Far Cry 5 (released in March) was touted as having the biggest opening weekend of the year at around...

read more
Who Wins In The Emotional Candy Battleground This Halloween? And what that tells us about how each state really feels about the brands fighting for our dollars.

Who Wins In The Emotional Candy Battleground This Halloween? And what that tells us about how each state really feels about the brands fighting for our dollars.

Love, happiness, and desire might feel like natural emotions to associate with candy, but what about ‘success’, ‘remorse’, ‘amusement’ and ‘relief’? Using powerful AI to interpret what we say online, Networked Insights has spent the last decade perfecting its picture of how language translates to emotions, and how those strong emotions translate to actions, in this case, candy consumption! By factoring in the volume and intensity of 38 emotions, we ranked how the nation really feels, state by...

read more
Why we all need a love/hate relationship with targeting data

Why we all need a love/hate relationship with targeting data

Strong emotions lead to strong actions, making emotional analysis an intriguing capability in digital marketing. In the run-up to the 2016 Presidential election, like most good data companies, Networked Insights wanted to make a prediction on the outcome to demonstrate their capability. And just like other tech companies (and the pollsters as it turned out!), they were getting readings that jumped back and forth by the hour. It was too close to call and the data was very inconsistent....

read more
The Impact of Boycotts on Brands

The Impact of Boycotts on Brands

Whether they want to or not, some of the world’s biggest brands have recently stumbled into politically charged social conversations. Our audience.ai research report takes a look at the data behind the brand boycott hype, using millions of online conversations, classified 25,000 ways across 50 different emotions to gather an accurate, holistic view of the issue.
read more
The Marketer’s Guide to Audience Building

The Marketer’s Guide to Audience Building

$347 billion was wasted in 2016 on marketing that didn’t work. How is that possible? For starters, 65% of content created by brands never reaches its intended target.Why? We’re so busy telling consumers that they should be interested in our brands that we’re not paying enough attention to who they are and what they already naturally care about.Customers are complex, and in order to succeed, brands need to better understand them as people – embracing analytics to better understand their...

read more
Life Stage Marketing Report: Targeting from Graduates to Retirees

Life Stage Marketing Report: Targeting from Graduates to Retirees

audience.ai research found that people going through pivotal life events like graduation, marriage or starting families are more likely to have similar interests and affinities than those in similar demographic targeting groups based on age, gender or income. For the study, audience.ai examined millions of conversations through the lens of five significant life stages to understand how audience interests, conversations and brand preference differ from life stage to life stage. Check out what we discovered, like how recent graduates differ from retirees in the media they consume or how new parents differ from affluent professionals in the brands they love or why millennials and retirees may have more in common than expected.
read more
Adweek Webinar: Personalization at Scale

Adweek Webinar: Personalization at Scale

In 2016, businesses wasted $347 billion globally on marketing campaigns because they simply did not work. How is that possible? Their campaigns were not relevant. Why? They didn’t capitalize on technologies that achieve personalization at scale. More than simply surviving, brands and agencies must be relevant to their customers. When compared to cookies or demographic targeting, combining artificial intelligence with public conversational data offers marketers a deeper data set and a more holistic view of their audience, which means better targeting.
read more