Today, my co-author Rusty Warner and I published the first-ever Forrester Wave: Enterprise Marketing Software Suites, Q4 2014. Or, as they are popularly referred to, the “marketing clouds.” The evaluation looked at the eight vendors vying to convince marketers of their ability to provide an integrated portfolio of products that span all of marketing’s needs. Integration is increasingly important to marketers in their efforts to understand the full customer life-cycle and be able to execute across all interactions.
Forrester defines an enterprise marketing software suite (EMSS) as: an integrated portfolio of marketing technology products that provide analytics, automation, and orchestration of insight-driven customer interactions to support inbound and outbound marketing.
Chinese people are hypersocial in their lifestyle and daily work, and Forrester forecasts that 681 million of them will be using social media by 2019. Online Chinese are actively engaging with brands and companies on social media: 29 brands or companies on Sina Weibo and 32 brands or companies on WeChat on average. Chinese businesses have realized the importance of social for customer life-cycle management. While they’ve started using social to increase brand awareness — such as broadcasting on Sina Weibo — they can’t recognize potential customers in this one-way communication. They use public WeChat accounts to shorten response times to client service requests — but they can’t predict these requests in advance. To address these challenges, businesses in China are starting to use enterprise-class analytics tools for Chinese social platforms.
Language is evolving; the written word is giving way to visual vocabulary.
Interpersonal communications are shifting from being text-based to image-based, and you don't have to look far for the evidence: We spell using the Emoji alphabet; we comment with photographs; we engage through pictures.
Therefore, it’s no surprise that consumer adoption of visual social networks is growing and that social chatter is becoming increasingly pictorial. Forrester's Consumer Technographics® data shows that US online consumers across generations are interacting with content on Instagram and Pinterest more than before:
As consumers become increasingly versed in the language of visual content, curated images become a powerful means of expressing opinions, conveying emotion, and recounting experiences. As a result, pure text analytics no longer suffice to interpret social chatter; instead, insights professionals have an opportunity to mine the wealth of media-rich data that increasingly pervades social networking sites.
How does the CI pro responsible for marketing technology buying make an informed decision when faced with so many options? Well, to quote Ron Davies (feel free to summon the voices of Three Dog Night, David Bowie or Shelby Lynne, if you prefer), “It Ain’t Easy!” To help CI pros with their decision-making, my latest brief The Marketing Technology Buyer’s Dilemma provides advice on how to maintain customer focus while navigating market changes.
This past Friday I had one of the most enjoyable meetings of my professional life. I had initially been worried about this particular meeting. After spending 3 nights in Switzerland, I travelled back to the UK, spent 2.5 hours at Heathrow and then caught a flight to Finland, arriving well after midnight. Knowing that I would only have a few hours’ sleep in Helsinki before heading 100 km north to Lahti for the meeting, I was concerned that travel and tiredness might take their toll.
I needn’t have worried. Several participants had enjoyed a late night at Lahti’s famous summer retreat, and they were pleased I had made the extra effort to join them. As we drove up to the log cabin in the woods, I was reminded of my 4-H camping days back in West Virginia. Though I had spent childhood summers barefoot, I was surprised when asked to remove my shoes for a business meeting. But, when in Finland… So we added our shoes to the 9 or 10 pairs already by the front door and joined the others in a family-style sitting room.
If you haven’t kept up with the activity in the marketing technology space – acquisitions, product enhancements, "cloud" wars, et al., then I don’t blame you. The marketing technology landscape is complex, crowded, and confusing. To compete in the age of the customer, enterprises are quickly deploying technology to manage big data, execute contextual marketing, and orchestrate real-time customer interactions.
Whether you are a marketing technology vendor, buyer, or end user, this is an exciting time, and I am thrilled to join Forrester as a principal analyst on the Customer Insights team. I am based in London, and I will cover marketing technology along with my colleague Cory Munchbach. Together we will help Customer Insights (CI) Professionals as they navigate the digital marketing landscape and make marketing technology investment decisions. With a background that includes more than 25 years’ experience in marketing, customer analytics, product management, and product marketing, with both large and small vendors in the marketing technology sector, I am excited about my new role at Forrester and on the CI team.
We've been talking about Adaptive Intelligence (AI) for a while now. As a refresher, AI is is the real-time, multidirectional sharing of data to derive contextually appropriate, authoritative knowledge that helps maximize business value.
Increasingly in inquiries, workshops, FLB sessions, and advisories, we hear from our customer insights (CI) clients that developing the capabilities required for adaptive intelligence would actually help them solve a lot of other problems, too. For example:
A systematic data innovation approach encourages knowledge sharing throughout the organization, reduces data acquisition redundancies, and brings energy and creativity to the CI practice.
A good handle on data origin kickstarts your marketing organization's big data process by providing a well-audited foundation to build upon.
Better data governance and data controls improve your privacy and security practices by ensuring cross-functional adoption of the same set of standards and processes.
Better data structure puts more data in the hands of analysts and decision-makers, in the moment and within the systems of need (eg, campaign management tools, content management systems, customer service portals, and more).
More data interoperability enables channel-agnostic customer recognition, and the ability to ingest novel forms of data -- like preference, wearables data, and many more -- that can vastly improve your ability to deliver great customer experiences.
IBM recently kicked off its big data market planning for 2014 and released a white paper that discusses how analytics create new business value for end user organizations. The major differences compared with last year’s event:
Organizational change. IBM has assigned a new big data practice leader for China, similar to what it’s done for other new technologies including mobile, social, and cloud. IBM can integrate resources from infrastructure (IBM STG), software (IBM SWG), and services (IBM GBS/GTS) teams, although the team members do not report directly to them.
A new analytics platform powered by Watson technology. The Watson Foundation platform has three new functions. It can be deployed on SoftLayer; it extends IBM’s big data analysis capabilities to social, mobile, and cloud; and it offers enterprises the power and ease of use of Watson analysis.
Measurable benefits from customer insights analysis. Chinese organizations have started to buy into the value of analytics and would like to invest in technology tools to optimize customer insights. AmorePacific, a Hong Kong-based skin care and cosmetics company, is using IBM’s SPSS predictive analytics solution to craft tailored messages to its customers and has improved its response rate by more than 30%. It primarily analyzes point-of-sale data, demographic information from its loyalty program, and market data such as property values in the neighborhoods where customers live.
There’s no doubt that, to consumer marketing professionals, data about the users of mobile network are highly valuable. But AT&T is finding that enterprise application designers, corporate security & risk professionals, corporate trainers and CFOs are very interested in this data as well - so much so that the US-based network operator is turning access to and collaboration on its data into a new business service.
Under the guidance of Laura Merling, VP of Ecosystem Development & Platform Services (and formerly of Mashery), AT&T Business Solutions is embarking on an ambitious plan for sharing its data in a secure programmatic fashion leveraging RESTful APIs. It had previously shared it data in a more informal fashion with selected partners and customers but found this approach difficult to standardize and repeat on a larger scale. It also has participated in data collaboration efforts such as the well-known hackathon with American Airlines at South by Southwest earlier this year.
Buy analytics software, hire marketing scientists, and engage analytics consultants. Now wait for the magic of customer analytics to happen. Right?
Wrong. Building a successful customer analytics capability involves careful orchestration of several capabilities and requires customer insights (CI) professionals to answer some key questions about their current state of customer analytics:
What is the level of importance given to customer analytics in your organization?
Have you clearly defined where you will use the output of customer analytics?
How is your analytics team structured and supported?
How do you manage and process your customer data?
Do you have clear line of sight between analytics efforts and business outcomes?
What is the process of sharing insights from analytics projects?
What type of technology do you need to produce, consume and activate analytics?