Group items tagged

"First, you have transactional data, which includes all the information you have about previous purchases and interactions with individual customers. Second, you have digital behavior data. This data, as the name implies, covers what people are doing and have done online, from surfing patterns to all the various digital interactions they may engage in across your web and mobile sites. This data can tell you, for example, which pages or sets of products on your site people have spent the most time exploring (or, alternately, ignoring). Third, you have social data, which includes all data related to the social graph as well as any social information that customers may have chosen to share with you (or, perhaps, unwittingly shared with you by agreeing to sign-in to your site using Facebook or Twitter)."

"behavior"

This is that insurance ish that Kris Bober talked about. Insurance companies conducting online behavior analysis to determine risk.

Data mining in World of Warcraft (sample of 14,400) shows that players fall into different "cliques" of highly predictable (80% accuracy) behavior based on the sort of achievements and activities they like to pursue. The researchers indicate that these lessons could be applied to online retailing as well. Also confirms my suspicion that there are more lessons to learn in these virtual environments than people want to give them credit for.

" The strategies and tools come out of our Brand Blueprint process, which literally involves mapping the brand in great detail across all of its possible consumer touchpoints. The goal of blueprinting is to create a highly effective brand ecosystem that aims to meet the behaviors of today's highly engaged audience."

""If you think about the unique identifier - the cookie - it's just a way to identify a browser and then have the smarts behind it to serve a particular ad. If you have Open Graph data from Facebook, you would have to work through issues with personally identifying information, but you are essentially adding some behavioral data, which is what they are doing on their own site now. I don't know how far they could extend that, but there is a big push in the industry to start to utilize more sources of data for more specific targeting.""

"Ian Heidt, director of product management for Qualcomm Labs, said the technology pulls in information from a variety of sensors on the phone, how consumers use the phone, including the camera, and location to create a unique fingerprint. "In early trials in Japan, we've seen improvement on targeting," he said. "It shows how mobile and content change the behavior of consumers." Trials conducted by Blogwatcher in Japan found that consumers were three times more likely to click through and respond to WITYU notifications and offers as compared with non-contextualized and non-personalized offers. Click-through rates rose by more than 60% when specials and offers were delivered to consumers."

"Citi piloted LinkedIn's first branded community in April, erecting Connect: Professional Women's Network as a sponsored group for members to discuss topics online, such as women-on-women bullying in the workplace. Then in late summer something unexpected happened: Members began taking things offline. One New York-based member posted a question, asking if others would like to meet in person. That has spawned nine different meet-ups in not just New York but Seattle and Miami. "That's not necessarily behavior we could have predicted from an online social network," said Citi's managing director and head of North American marketing Vanessa Colella."

"The study, which aimed to analyze consumer shopping behavior from the point of sale backwards, found that 31 percent of shoppers used YouTube to shop for apparel. And, 37 percent watched a video on a retail website to make a purchase."

shopperception uses kinect sensors to spatial recognition capabilities to monitor the way shoppers interact with products on shelf -- how long they spend, which ones they touch, what are put back, and what are purchased

According to the report, 66 percent of consumers (who were aware that data is generally employed by platforms to target them) said Amazon using their buying behavior data to pitch offers was "somewhat to very acceptable." Just 41 percent said they were comfortable with Google leveraging their search data for ad targeting. Only 33 percent said that Facebook's using profile data to target offers was "somewhat to very acceptable."

Nearly half, 47 percent, of tablet users say they engage with advertisements more than once a week. That's according to a recent report from the Interactive Advertising Bureau and its Mobile Marketing Center of Excellence. On the smartphone side, 25 percent of users said they have the same weekly engagement. Following ad engagement, 80 percent of smartphone users and 89 percent of tablet users take action, said the report. The "Mobile's Role in the Consumer's Media Day" report studied behaviors on both types of devices, finding each used devices in different ways.

French CitéGreen, a site that rewards participants with points - redeemable for gifts and discounts - whenever they perform actions that are good for the environment.  consumers simply register for free and indicate what types of actions they'd like to have rewarded - carpooling or recycling, for example. Through its partnerships with local communities and relevant agencies, CitéGreen then accounts for each action automatically

"We found that fans are twice as valuable as the general population based on purchase behavior. These aren't just customers, these are the best customers," said Hoefflinger. To take advantage of that, Facebook introduced its "Reach Generator", a new product that guarantees that 75% of your fans each month see your brand's content. According to Hoefflinger, Ben & Jerry's was able to double its total engagement and increase sales at a 3 to 1 ROI using Facebook's Reach Generator tool.

UX Mag identifies three major "types of trends" impacting the future of online experiences. 1) Capabilities: Changing Technology Platforms - tablets, ambient devices and smart alarm clocks + anytime, anywhere expectation for rich online experiences. 2) Consumers: Evolving Online Behavior - broad consumer interest in new technologies and a desire to experience them and rapid rates of tech adoption. 3) Competition: Millions of New Entrants - flood information providers. The article also features the CARS attributes of online experience by Forrester. Customized. Aggregated. Relevant. Social. CARS. See? They then go on to discuss the Nationwide Insurance iPhone app and the Avis car rental site/iPhone app.

I'm not gonna stop forcing this "gaming life" or "life as a game" or "game-based incentives" bullshit down your throats so get used to it.