Two years ago, we published our take on Publicis Groupe’s acquisition of then independent, digital powerhouse, Sapient. In that report, we predicted that it would be difficult to integrate the capabilities and culture of Sapient with existing Publicis agencies Razorfish and DigitasLBi to drive value for clients.
Forrester’s 2016 Global Mobile Executive Survey is open, and we are calling for marketers in China. If you’re a marketer who is involved in mobile consumer initiative in China, please take this opportunity to provide your perspective.
My colleagues Julie Ask, Thomas Husson and Jeniffer Wise are collecting responses from marketers in the US and Europe. If you want to understand the role that mobile is playing in various organizations in different regions, what their objectives are, how they measure the success of their mobile initiatives, and a lot more, you just have to share with us your own perspective and we will aggregate the answers.
For your efforts, we will share a free copy of the survey results.
Black Friday approaches. I should be breathless with anticipation. You see, I’m a brand strategist. To me, the prospect of millions of people reveling in thousands of brands and turning the bottom line from red to black is brand nirvana. It’s like Christmas came early. Which it does, in a way, on Black Friday.
Yet, the tendrils of self-doubt infiltrate my exuberance. Must a weekend so treasured for time spent with friends and family be ruined by being pepper-sprayed at Walmart, by being gored in the Pamplona bull run down the aisles at Best Buy to save 50 bucks on a TV I don’t need? Do we really need to spend any more time glued to our devices buying more clutter?
Maybe you feel this way, and maybe you don’t. But you would expect brands to be cheerleaders for Black Friday, right? Wrong.
Black Friday 2011: Patagonia buys a full-page ad in the New York Times and instructs readers not to buy its jackets. That’s right, they pay good money to tell folks not to buy their stuff. Citing the “astonishing” environmental cost of making jackets, they encourage people to reuse and recycle. Fast forward to Black Friday 2016. This year, Patagonia is donating 100% of Black Friday sales to grass roots organizations "working to create positive change for the planet in their own backyards." Yes, you did read that correctly. 100%. And sales, not profit.
Black Friday, 2015: REI decides to remain closed that day and give all its employees a paid day off. No, their P&L does not self-combust. Instead, they choose to close shop again for Black Friday 2016. REI’s CEO says that this “reinforces both REI’s culture with employees and the message that resonates with the company’s core customer base.” About 2 million people plan to #OptOutside with REI.
The industry was outraged. But who’s really at fault here? Tina Moffett and I break it down like Judge Judy.
For The Defense: Facebook
How long did it take TV to standardize measurement? The social media industry is young and a fast-changing work in progress. Lest we forget, Facebook is only 12 years old and started as a platform for people; metrics was the furthest thing from their minds. But, it’s now the biggest social network serving people, brands, and publishers and is constantly having to prove value to all three. We would be surprised if Facebook was not screwing up along the way. To build their platform, Facebook will continue to mess up and correct, mess up and correct. Instead, let's focus on how Facebook's metrics woes will impact their relationship with marketers (and agencies):
Each year, Forrester Research and the Disaster Recovery Journal team up to launch a study examining the state of business resiliency. Each year, we focus on a particular resiliency domain: IT disaster recovery, business continuity, or overall enterprise risk management. The studies provide BC pros, DR pros, and other risk managers an understanding of how they compare to the overall industry and to their peers. While each organization is unique, it's helpful to see where the industry is trending, and I’ve found that peer comparisons are always helpful when you need to understand if you’re in line with industry best practices and/or you need to convince skeptical executives change is necessary.
As businesses pursue digital initiatives, I&O execs must assist their line-of-business colleagues with addressing software, security, data, and business analytics integration complexity associated with deploying these IoT solutions. Digital opportunities to use IoT include:
Building connected products. Product manufacturers are creating smart, connected products to differentiate their offerings and generate new revenue streams as well as ecosystems for other partners to participate in and create their own value.
Transforming operational processes. Businesses across many vertical markets are using IoT-enabled use cases to transform supply chain processes, enhance inventory management and operational processes, and track and monitor asset performance
Here in Boston, we are at a precious moment in the year: The early onset of cool, dark evenings sets the stage for the imminent holiday season — but doesn’t eclipse the warmth of the autumn sun quite yet. As the seasons change, we have a few rare days of mild weather that I can’t pass up, so, like my fellow city-dwellers, I make a little extra time to walk and window-shop.
Except — I hardly ever return with empty hands. Especially when I spot a sale at my favorite clothing retailer, it doesn’t take long before my intended walk turns into a shopping spree. Fortunately, our data shows that I’m not the only one who falls for the spontaneous clothing purchase. Forrester’s Consumer Technographics® data reveals that women in particular buy apparel on impulse:
In fact, our data shows that 43% of women don’t research clothing at all prior to making a purchase, compared with only 36% of men. And those women who do research apparel predominantly count the in-store browsing experience as their product research, while men often use both online and offline tools.
The results of the United States Presidential election came as a shock to almost everyone – even Trump supporters. Most prepared for a Clinton win, which would have meant that even if the Republican party held onto the House and the Senate, there would still be a relative balance of power across party lines. In that scenario, the future of Obamacare, and the healthcare industry at large, was certain to stay the course. But a Republican Congress and Presidency, makes that future less certain.
Republicans have talked about repealing the Affordable Care Act for six years, backing their words with actions, sending numerous bills through Congress to amend and/or repeal the Act. These efforts failed under the Obama administration, which implemented the Affordable Care Act, expanding access to health insurance to over 20 million previously uninsured lives. In the last six years, the annual increase of health spending has slowed to equal the rate of gross domestic product (GDP). The healthcare cost savings from 2010-2020 should exceed $1 trillion. More importantly, as payers and providers have adjusted their businesses to the New Healthcare Economy, we have seen improvements in quality outcomes including a 25% reduction in hospital readmissions.
It’s not been an easy week or so for many of us in the US. Why did the election results surprise so many? How could we not have known how divided a country we were?
And what happened to a belief in the principles of fairness, respect, and equality for all, which formed the foundation of our democracy — despite an election’s outcome? One explanation is that many relied on predictions, polls, and data and misjudged the impact of voters’ emotions and sentiment on the race . . . and badly so.
Four years ago, just after I joined Forrester, one of the first blog posts I wrote was about how the smart use of data helped elect Obama as our 44th president. In that post, I talked about how Obama and his team employed data science from the start to understand the electorate and target their engagement and messaging effectively to inspire voters to action.
In fact, to quote that blog post:
“What I found the most fascinating is how the use of data, the right data, served as the foundation for Obama’s successful reelection. Starting on election night, the analysts on the best-known news shows were already talking about how calm and confident the Obama team members were. And why were they confident? According to Obama’s team, it had the data to back up its march to a second term. The team members believed that data and how they used it was one of the biggest advantages they had over the Romney campaign. Think about that for a minute. Obama, traditionally seen as the image and message guy, ran his reelection campaign based on using the right data effectively. And it worked.