A = Analytics (or more precisely, customer analytics).
At its Summit in Salt Lake City this week, Adobe unveiled new analytics functionality for its Marketing Cloud. Taking a granular view of real-time analytics, Adobe is differentiating requirements for live stream (instantaneous) data vs high frequency metrics (10 seconds) vs current data (90 to 180 seconds) and more traditional customer analytics, such as segments (20 minutes), site visits (30 minutes), data feeds to a warehouse (1 hour), and long-term reports (days). The goal is to shift today’s reporting paradigm via more ad hoc analysis, while adding machine learning capabilities for continuous optimization.
One week previously in San Francisco, Salesforce launched Predictive Decisions for its Marketing Cloud. Focused on personalized campaign execution, the enhanced Salesforce functionality promises to empower marketers by harnessing the power of data science. The primary components are a collect beacon to stream real-time content updates and user behavior to marketing apps, new workflow automation to trigger data-driven campaigns, and predictive decisions to personalize offers based on conversion propensity.
We all know that empowered customers expect brands to deliver contextually relevant experiences based on their individual preferences for content, timing, location, and channel(s). How do customer insights (CI) professionals decide the appropriate course of action – not just for a single customer, but for all customers? How do they then execute on those decisions and measure the impact? Systems of engagement like Real-Time Interaction Management (RTIM) provide answers.
Forrester defines RTIM as: Enterprise marketing technology that delivers contextually relevant experiences, value, and utility at the appropriate moment in the customer life cycle via preferred customer touchpoints. In my latest brief “Demystifying Real-Time Interaction Management,” I explore evolving RTIM requirements.
Yesterday SAP formally launched its hybris Marketing Solution, hailing it as “the industry’s first contextual marketing platform.” Customers will welcome the new functionality, which SAP has highlighted in roadmap presentations during the past year. Claims of being first-to-market, however, fall short. First to offer an analytics suite for marketers? SAS Institute may disagree. First to leverage marketing analytics with eCommerce? IBM may challenge the claim. First with an enterprise customer data management platform? Teradata has offered data-driven marketing for years. First to integrate marketing with sales and service? Oracle and Salesforce.com may have differing views. Even marketing vendors that SAP lists as launch partners – Adobe and Marketo – would likely disagree with SAP’s first-mover claims, for both B2C and B2B environments.
Don’t worry: I’m not here to support your New Year’s resolution with work-out advice. But if you want to review the six requirements for planning a mature enterprise marketing strategy, then keep reading.
Real-time, contextually relevant customer experiences require a significant investment in enterprise marketing technologies. However, customer insights (CI) professionals often struggle with defining marketing technology requirements to match business objectives. It’s difficult because you must balance multiple stakeholders, accommodate channel-specific processes, and integrate products from different vendors to align with your firm’s enterprise-wide business technology (BT) agenda.
To support CI pros with requirements planning, Forrester offers a self-service assessment tool to help you determine how your firm stacks up using our enterprise marketing maturity model. We believe that customer-focused enterprise marketing initiatives rely on improved capabilities across six core competencies. The first three – strategy, resources, and processes – focus on organizational readiness. The remaining three – data, analytics and measurement, and technology – underscore the importance of the right tools to enable successful execution.
Apologies to those purists who recognize this post’s title as a misquote of Mark Twain. In this case I’m not referring to myself, Samuel Langhorne Clemens, or indeed any human being, so I’ve gone with the more popular expression. Instead, I’m talking about campaigns – you know, those marketing tactics declared dead by many, but which brands continue to leverage for cross-channel communications. Back in February, Forrester’s Tracy Stokes used a similar analogy in her excellent post “Digital Marketing is Dead; Long Live Post-Digital Marketing: What It Means for CMOs.”
I’m resurrecting the theme because campaign management is alive and well. That being said, Customer Insights (CI) professionals now approach campaigns much differently than in the past. Smart marketers know they must engage their customers with contextually relevant content that sparks an interaction cycle and provides utility while creating a value exchange. Orchestrated appropriately, campaign management can be a key enabler for post-digital marketing.
At Dreamforce in San Francisco earlier this week, Salesforce Marketing Cloud CEO Scott McCorkle highlighted retailer Eddie Bauer’s strategy to make marketing so good that it feels like customer service and customer service so good that it feels like marketing. He may well have added that when marketing and service are well executed, they both begin to feel like sales – or at least the extension of sales environments that they are meant to support.
This thinking underscores the blurring lines between marketing and customer experience. Where does one end and the other begin? And does it really matter? Certainly to the customer it doesn’t; all he or she wants is a great experience that delivers value appropriate to the current context. So then, why do brands continue to let organizational or functional silos get in the way? It’s easy to say that legacy systems and processes still dictate what brands are able to achieve, but surely with today’s business technology capabilities, it’s possible to do better.
Brands highlighted at Dreamforce not only do better: they blend marketing, services and sales for a seamless customer experience. Take Fitbit, for example. Of course the Fitbit business model is based on interaction and context, but Fitbit has taken things to another level by ensuring that marketing content is fully incorporated into app functionality instead of pushing messages at customers. Up-sell, cross-sell and promotional content appear when contextually relevant and blend smoothly with customer services information and sales/transactional opportunities.
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.