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New approaches to unshackling interdepartmental silos. Aphrodite Brinsmead, Senior Analyst Keith Dawson, Principal Analyst Customer Interaction & Experience August 13, 2012. Agenda. How organizations are broken into silos Problems this creates for customers
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New approaches to unshackling interdepartmental silos Aphrodite Brinsmead, Senior Analyst Keith Dawson, Principal Analyst Customer Interaction & Experience August 13, 2012
Agenda • How organizations are broken into silos • Problems this creates for customers • Solutions that connect departments • Social & communities • Realtime decisioning • Mobility • Takeaways and recommendations
Drowning in data across the enterprise Business Intelligence CRM, Social Media Workforce Optimization Application Performance Management Transaction Processing, KM ACD, OBD, CTI
Customer channel preferences are changing When you seek advice, how do you get assistance? What did you use two years ago? N = 4086 Percentage of respondents
But contact resolution remains low When reaching out to customer service, through which channels have you had most success resolving your issue on the first attempt? N = 4086
The customer sees two views Sales Social Media Marketing Word of Mouth Point of Sale Customer Service Personally-Based Impacters Company-Based Impacters
External web information is on the rise Customer assisted service Self-service
The social adoption tree 5) Act on data and information from communities 4) Pull information into knowledge management Phase 2 6) Improve & automate processes based on customer data 3) Respond to customer service enquiries Phase 1 2) Create targeted marketing & sales campaigns 1) Listen & monitor
Use community knowledge across the enterprise • Listen & monitor dfsdsdfsdfsdfsfdsfdsf • Create targeted marketing & sales campaigns • Respond to customer service enquiries • Pull information into knowledge management • Act on data and information from communities • Improve & automate processes based on customer data Use trends to determine product strategies Determine marketing campaigns based on trends Manage enquiries in a centralized system Deliver consistent information across all channels Send feedback to product and technical teams Train agents using realtime social knowledge
Inbound service calls switching to mobile Source: Ovum
Realtime decisioning What is realtime decisioning? The process of using existing customer information and tools in order to guide an interaction at the time when it occurs. The aim is to predefine the optimal processes, so that when a customer interacts with an enterprise they will have a smooth and efficient experience.
Connect data across the enterprise Business rules • Ideal scenario outcomes • Historical interaction successes Realtime Decisioning Engine Realtime customer behavior Historical customer data • Customer purchase history • Customer location • Customer support history • Customer query type • Channel • Live online activity Agent guidance Routing Web recommendations
Address the entire customer experience Contact Center Marketing Sales Sales Marketing Sales Billing Billing IT Contact Center • End of life
Link metrics • Number of impressions • Clickthroughs • Conversions • NPS • Customer retention • Customer value • Customer effort • Website usability • Upsell rate • Product availability • Product or service issues • Number of interactions • First contact resolution • Task completion rate • Customer effort • Average handle time • Cost per interaction Customer support metrics Sales and marketing metrics Technical metrics
Further recommendations • Create a team with representatives from each department • Manage data in a centralized store • Determine optimal workflows and processes • Connect channels through analytics • Feed web information back to relevant teams
Questions Keith Dawson, keith.dawson@ovum.com Aphrodite Brinsmead, aphrodite.brinsmead@ovum.com