5 Core Concepts to Deliver the Ultimate Customer Journey

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Consider these digital elements to deliver mass personalization at scale.
Customer Strategy

The shift from analog to digital systems promises to deliver on mass personalized systems. These digital systems over the next three to five years start with a design point of intention-driven design and solve the issue of delivering on massive individual scale which enables personally tailored experiences. Keep in mind, these promises are nothing new. In fact, this is the holy grail of customer experience-what Peppers & Rogers coined "one-to-one marketing" in the late 1990's.

Success requires five core concepts that can support the delivery of tailored customer journeys at the individual level:

  1. Continuity of experience. A customer may start an experience on a mobile device, carry it with her to a car, jump into the office, and then come back to the home. Regardless of channel, device, platform, or situation, context is carried. Experiences are delivered with massive context and personalization. While customers do not expect a disruption in the experience, they do expect relevancy regardless of the context.
  2. Engagement through rich relevancy of context. Four attributes such as identity, time, geo-spatial position, and weather support 60 to 65 percent of the use cases most organizations will encounter. Other attributes depending on industry and business model will include sentiment, heart rate, and relationships. The goal is to deliver relevant experiences.

  3. Choose your own adventure type of journeys. With no real beginning nor end, expect these systems to work like a "Choose Your Own Adventure" book. Funnels fall aside as customers, partners, employees, and vendors jump in across processes, make their own decisions, and craft their own experiences on their terms. Journey maps must account for infinite journeys and support the customer-centric points of view.
  4. Intention-driven design through anticipatory analytics. Currently the fashionable approach is predictive. Predictive does a great job of using past history to predict future patterns. Anticipatory analytics test for shifts in patterns by setting up hypotheses and awaiting the results. If we know a person always gets a specific type of coffee at the same time every day, that's predictive. An anticipatory approach will test for intention and see what type of coffee is purchased based on time of day, weather, relationships, location, and even sentiment gathered from heart rate or actions. Will someone in 90 degree weather and 70 percent humidity buy an ice coffee more than after intensive exercise but in 60 degree weather and 30 percent humidity? The test comes from an offer or studying shifts in patterns and behaviors. This self-learning and adjusting capability is powered by cognitive computing approaches. The goal is a Wayne Gretsky approach of "Skating to where the puck will be."
  5. Value exchange. As individuals trade both privacy for convenience and privacy for security, organizations must improve the value. If individuals are not saving money or gaining back time or receiving a perceived value, then the personalization is for naught. Both monetary and non-monetary value can be exchanged. Non-monetary value drivers can be recognition, access, and influence.

Start by building the foundation of mass personalization.

As one begins the journey towards mass personalization at scale, customer experience professionals and marketers should:

  1. Start with an assessment of your business model design points.
  2. Take stock of existing technologies and place them into one of the five systems.
  3. Conduct a delta analysis of the business model requirements and the existing systems.
  4. Determine which core platform investments in a build, partner, or buy decision matrix
  5. Pilot out new platforms and identify the technology roadmap to support the business model design.
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