The annual Consumer Electronics Show (CES) opens in Las Vegas on January 6th,with global electronics manufacturers from Samsung to Sony to LG looking to outdo one another with whispers and snippets of content that will increase our anticipation of the next "must have" device.
CES is typically dominated by TV's and home entertainment systems with the same manufacturers using Mobile World Congress (MWC) in Barcelona in early March for smartphones and tablets. But I both hope and expect to see some new things at CES this year. In fact, I even put them on my Christmas list. This year, I expect the new eye-popping devices to:
Push beyond entertainment. Entertainment has dominated the electronics industry for years. But there are only 24 hours in the day that consumers can engage with entertainment, that is - if they don't sleep. So while technologies like the DVR have made consuming content more efficient so we can squeeze more in, ultimately our ability to consume entertainment is capped. Don't get me wrong - I still expect to see mind-blowing advances in cameras, screen resolution, and audio quality, but growth in electronics will come from expanding their use cases. Translation: expect to see more devices offering utility to consumers - helping us lose weight, eat healthier, cut our energy bills, care for a plant, or let UPS leave a package inside the house.
According to App Annie, messenger service Snapchat is among the top 10 most downloaded apps in the US right now. Competitor WhatsApp lags behind in number of downloads, bouncing between the top 20 and top 30. But just because users are downloading an app does not mean that they are using it. In fact, Forrester’s US Consumer Technographics® Behavioral Study shows that each user’s top five most used apps represent 84% of the total time spent using apps*. Just a handful of apps command a large majority of users’ attention. So number of downloads only tell part of the story.
When it comes to actual user engagement, how does Snapchat compare to WhatsApp?
The two are, in fact, neck and neck when evaluated using Forrester’s App Engagement Index, a framework that measures engagement success for apps across four user metrics: popularity, commitment, frequency, and time spend. Interestingly, their overall scores are comparable, but their performance on each of the metrics is different: While Snapchat attracts a larger audience, WhatsApp users actually spend more time using the app.
As the interest of Chinese organizations to adopt cloud solutions for business transformation is increasing, OpenStack-based cloud solutions have become the hot topic in the China market in 2014. I believe that 2015 will be the key year for OpenStack and it will rapidly develop in China. Here’s why:
Government policy support. The Ministry of Industry and Information Technology (MIIT) of China held the first China Open Source & Cloud Computing Summit (COSCCS) on December 11. At this event, the Chinese government for the first time officially declared its intention to support OpenStack ecosystems and encourage state-owned enterprises (SOE) to use OpenStack-based cloud products: “…through OpenStack, we can contribute to a good business model…” said the deputy minister of MIIT. Forrester believes that there will be more and more Chinese SOEs and local governments that will invest in OpenStack-based cloud project in 2015.
OpenStack is mature as a private cloud solution. With the launch of the Juno version in October 2014, OpenStack addressed many upgrade concerns, making it easier to roll back a failed deployment and ensure thorough cleanup. It also added a record 3,219 bug fixes and enterprise features, such as storage policies, provisioning of Hadoop and Spark, as well as network functions virtualization (NFV). Another specific advantage is that Chinese organizations are not facing the challenge to upgrade from early releases of OpenStack because the China market started deployment of OpenStack mostly from 2014 onwards.
China has experienced a fast expansion of credit card usage in the past 10 years, accumulating more than 390 million credit cards by the end of 2013, around 16 times more than 2003. But Chinese banks suffered from low activation rates of credit cards. In my recent report, I found China CITIC Bank (CNCB) faced a similar challenge; their 21 million credit cards had less than 20% activation before 2012.
In 2012, to increase the number of active credit card users, CNCB decided to revamp its customer analytics capabilities to better understand customer profiles and manage customer relationships. As a first step, the bank used SAS Enterprise Miner to deeply analyze both active and inactive cardholders and their usage scenarios and to measure the effectiveness of its credit card campaigns and programs through cardholder analysis for customer segmentation and marketing program effectiveness analysis including:
Cardholder analysis for customer segmentation.CNCB first collected and classified basic information about its cardholders from past marketing campaigns and transactional data. It defined four basic types of cardholders: inactive users, moderate users, convenience users, and heavy users. The bank spent two months to build data marts from the summarized data. It decided to focus on two groups of inactive cardholders: those who could be swayed by marketing campaigns and those who were heavy users of other banks’ cards but not CNCB’s through the analytics engine.
Industry analysts know that major M&A deals, product announcement, and organizational changes can come at any time. But it still surprises us a little when a major player like Oracle announces a significantacquisition just days before Christmas. At any rate, Santa has come early for both Mr. Ellison and the Datalogix team this year.
We've just published a Quick Take on our perceptions of the deal, which holds a lot of promise. Our biggest concern? Realizing that promise requires some serious integration work, and so far, Oracle hasn't proven that it's especially capable of integrating the stack it's acquired for the Marketing Cloud offering. We also worry that Oracle's Data Cloud -- where Datalogix will sit -- is heading directly for a major privacy warzone. Whether Oracle is ready for that battle remains to be seen.
But the bigger picture is this: the Datalogix and Bluekai acquisitions, along with many others of the past year -- including Conversant by Epsilon, LiveRamp by Acxiom, and Adometry by Google -- are evidence of a fast-consolidating marketing and advertising technology landscape. 2015 will doubtless bring more M&A activity in this space, with a likely run on smaller technology and data vendors that have mostly been flying under the radar. What this race for the ultimate "marketing cloud" will mean to CI pros remains to be seen, but you should certainly anticipate plenty of shakeups in your vendor relationships over the next 18 months.
Smartphone adoption is surging. Your customers’ eyes are glued to their mobile screens. You want to get your brand in front of them. It’s time for mobile advertising.
Sadly, executing on a mobile ad campaign isn’t as easy as deciding you need one. Not only do you have to fight for budget and craft a mobile-first — not mini-desktop — campaign but you also need to pick the right partner to deliver on your mobile advertising needs. And while there is surely no shortage on vendors to select from, there is a lack of clarity into who actually does what.
To navigate this chaotic landscape, we surveyed mobile ad tech vendors and asked nitty-gritty questions about their heritage, creative, targeting, and add-on capabilities. What did we find? Marketers are right to be confused.
Why is this?
Each vendor’s value proposition isn’t clear. Fewer than one-third of the 35 vendors we surveyed are purebreds in any one ad tech category, and they offer anything from in-house creative services to contextual targeting to strong attribution chops. The result? Many jacks-of-all-trades that muddle the mobile ad tech landscape.
Each marketer’s expectations aren’t clear, either. We’re not just blaming the mobile ad tech vendors for this. Vendors are creating combinations of capabilities that they think marketers want — but aren’t getting much guidance.
Around this time of year, one can’t help but become reflective. I know I’m not alone when I say that, on the one hand, this year somehow shot past faster than the last one, but on the other hand, it was jam-packed with new discoveries, fresh ideas, and memorable experiences. In particular, this has been a milestone year for the data insights innovation team here at Forrester, as we officially launched our Technographics 360 research approach, which synthesizes mobile behavioral, social listening, online qualitative, and survey data. As I think back on my experiences with the Technographics 360 initiative inside Forrester, paired with my industry learnings outside Forrester, a few key lessons come to mind that I will take into the new year:
1. Synthesis is “in.” In fact, I learned so much about this topic, I wrote a full blog post dedicated to it! In essence, we now live in a world where the truest insight is a product of synthesis – building knowledge up – rather than of analysis – breaking ideas down. I recently attended SSI’s seminar featuring Simon Chadwick, who proposed that data synthesis is “the next big thing” in insight skills. I agree: With so many diverse data sources at our fingertips that offer unique perspectives on consumers’ lives, researchers need to put the puzzle pieces together to construct a comprehensive understanding of consumer behavior.
Taxi-hailing apps are gaining momentum globally, and China is a very important battlefield for both international players like Uber and local players like Didi Dache and Kuaidi Dache. While the battle for market share and consumer loyalty is ongoing, monetization has also appeared on the agenda of these taxi-hailing apps. Pioneer marketers have started to experiment with mobile advertising on Didi, and Huawei is one of them.
On December 17, 2014, Huawei sponsored Didi’s lucky money in its first attempt to place mobile ads on Didi for its newest smartphone, the Huawei Honor 6 Plus. Huawei has embedded the product name, ad copy, and images in Didi lucky money and aims to reach the more than 100 million Didi users and their friends on WeChat. Huawei has created four opportunities for ad exposure:
1. Banner ad on the menu page of the Didi app
2. Full-page ad when the user clicks into the banner ad
3. Sponsorship of Didi lucky money shared in WeChat
4. Full-page ad embedded in Didi lucky money
This ad campaign has certainly created buzz and attracted attention. However, Huawei could improve its implementation by:
Thanksgiving weekend has traditionally been highly lucrative for retailers, but this year saw another drop in spending specifically on Black Friday. In the meantime, online shopping continues to soar, and the weeks leading up to Thanksgiving weekend provided consumers with deep-discount sales. In short, the weekend itself is becoming less valuable to the average consumer. But how does consumer sentiment match up with this shift in behavior? How do perceptions of the 2014 holiday season differ from those of years past and consumers’ initial expectations?
As part of our recent research efforts, we leveraged Forrester’s Technographics® 360 multimethodology research approach to gain a better understanding of consumers’ shopping habits (using our ConsumerVoices Market Research Online Community) and to track online conversation and sentiment relative to Black Friday and Cyber Monday leading up to the holidays and afterwards (using NetBase aggregated social listening data).
Following the launch of my recent report, The Dynamics Of China’s Private Cloud Market, I’ve been getting briefing requests from vendors and inquiries from end users. My report addresses most of their concerns, such as the vendor landscape, business scenarios, and industry practices. However, following my discussions with many Chinese private cloud end users, I also thought it would be helpful to share with you the top developing trends among Chinese organizations using private cloud. They:
Are starting to expand private cloud scenarios for production applications.Initially, many Chinese organizations deployed private cloud solutions for development and testing scenarios. These organizations are now starting to transfer their business-critical workloads, such as CRM, databases, and other unique applications, to private cloud environments. Why? Because Chinese organizations have started to virtualize their critical workloads.For example, China Telecom set up a self-service private cloud platform for its eight province-level branch operators in 2011; in 2014, China Telecom started to gradually transfer its business and operations support systems (BSS/OSS) to the private cloud.