Process solutions to enable in depth, rapid customer data gathering and analysis
Exploit operational competencies to manage and grow customer value (historical, anticipated and network value)
Integrate these values to create a quantifiable equation and understand components that drive CRM
BI CRM Implications
Old way : Manual searches and data entry
Finding documents only by words occurring in the documents
New way : Search web based on meanings and context rather than specific words
Semantic web
Text/data mining software can store large amounts of people/event info in TDWI facilities.
Similar capacity to a research librarian or intel analyst
Large data sets facilitate social network analysis or counter intel
Stepping stone to communication machine to machine, symbiosis, then singularity
Key to customer spending
Measure lifecycle of long life customers
Future spending evolution
Improve relationship marketing decision making
Marketing point of view
Focus on new customer’s increasing /decreasing future spending from initial purchase info
Taxonomical granularity
Bayesian network classifiers to classify customer value and targeting in database
Probability and statistic pattern learning algorithms
AI/BI interface to maximize data collected
Customer Lifecycle
AI allows for much more accurate BI in identifying the lifecycle of long life customers
AI/BI vs Customer Lifetime Value
From a 2006 Oracle white paper
Company looks to balance sheets
Often ignore soft assets (customers)
Most valuable asset
Company’s culture vs customer relations
unique, long term= sustainable advantage in the marketplace
Most customers are poorly managed
Key to acquiring and cultivating long term highly profitable customer relationships is:
Understanding customer lifetime value
Understanding this relationship
Quantifies and predicts profitability for customer segments, business units, products and services
Measure and influence factors that affect customer value over time
Relative costs and trade-offs to acquire, retain and grow specific customer segments
Develop actionable programs to maximize profitability
Value of Customer Asset
Value of individual transactions
Frequency/recency of purchases
Cost of service
Need to generate rich database of customer needs and behavior
Invest in BI SaaS, OSS, TWDI, cloud computing, text/data mining etc..
Cost of a Customer
Hardest most expensive sale is first one
Initial cost of customer and profit generated vs long term potential
2 Key Components
1) Transaction Value (from historical data)
Can be generated from similarly segmented customer groups
2) Network value- customer referals
Lifetime Value Equation
Transaction Value
Historical customer behavior: most important information
Understanding how the customer interacts with channels and consumes goods and services TODAY is key to FUTURE activity
3 Key Variables
Frequency/recency
Transaction size
Customer churn rate (loss/attrition is greatest cost to companies in lost rev and to reacquire)
Evolving Habits
Customers mature, buying habits change
Increase in value if hey are measured and managed appropriately
Tremendous cross selling/upselling potential
Can reduce churn rate by satisfaction
Network Value
Large customers can provide a feed or avenue to tap into their customers
Acquisition/Retention Costs
Acquisition costs= tot acquisition expense divided by tot new customers
Vary by segment
Marketing cost, material/collateral, sales, channel and resource, discount and rebate
Failure to manage will lead to rapid failure
Need AI/BI to manage effectively
(Pets.com)
Aligning Operations
Build customer centric operations
Maximize customer lifetime value
Organization and operations
Erode profits with poor distributions or product development w/o customer in mind
Data mining would provide info to do this right
3 Elements of Success
Integrate channel systems
Marketing and incentive programs
Product design strategies
Integrating Channels
Balance customer preferences with costs of service
Coordinate multiple channels in the customer interaction process
Call center integration to improve sales and service
Roll of each channel to be clearly defined and measured and managed
Value of each subsequent customer interaction will increase to both parties
Multichannel strategy works!
JC Penny proved it.
1999 internet shoppers spent $121/yr
Retail only $194/yr
Catalog only $242/yr
Integrated with all three, over $1000/yr
JC PENNY
JC Penny results
By integrating channel operations to share customer information with all departments, store and catalog profits soared 83% in the third quarter 2003 year over year
Has been key to JC Penny’s continued success
Customer incentive programs
DRIVES REVENUE
Invest heavily in marketing efforts (incentives, branding, discounts)
Can be a significant profit drain
When armed with in depth, reliable BI on revenue per customer, judicious, targeted use can increase profit per customer
Create tiered customer investment programs to match current and potential return generated by the customer
Product Design Strategies
Meet needs of customers
Distribution channel system
Dell computer customization
UPS/Dell repair facility at SDF
Levi Strauss individual design
Engenders customer loyalty
Role of Technology
Key factor to measure/manage lifetime value
Captures and stores customer interactions across all company touchpoints
Establishes more insightful customer segmentation schemes
Facilitates a more effective dialogue and experience for each relationship
Tech Role Con’t
CRM Tech facilitates gathering and analysis for profiling and planning (AI/BI interface)
This is done two ways:
1) Resources that interact with customers gather important customer transaction, preference and profile data through data capture fields and processes
2) Analytical engines such as pattern learning algorithms and probability and statistics formulas (AI), segment and identify and analyze trends, customer behavior and preferences
Use to upsell/cross sell, better serve, profit
Meet customer needs
CRM Solution
Each channel has a defined roll
All channels are seamlessly integrated
Can measure and manage all channel resources based on fact-based real time reporting
Customer Management
Extract true value from customer
Must build process and culture to continuously monitor and manage this critical success factor
FedEx’s focus
4 groups of customers
Stable customers= very high value
Growing shippers= high value
6 month elapsed shipping=medium
Seasonal=low value
Stable Customers
3 times the lifetime value of average customer
Marketing initiatives to retain this segment
Adopt unique marketing techniques for each segment to increase efficiency and effectiveness
Senior Management
Must have buy in from very top
Mandate to monitor customer value
Build customer centric culture
Management, decision making and business strategy rigorously supported by fact based analysis
Use clear definitions for business, customer and product strategy
Use processes to facilitate customer management through related metrics (retain customers, customer acquisition investments)
(Conclusion) CRM BI
Measure and Manage customer lifetime value
Key to sustain competitive marketplace value
Need robust/integrated technology
Employees to manage customer relations
Senior management buy in essential
Could form a BICC (communications center)
Process solutions to enable in depth, rapid customer data gathering and analysis
Exploit operational competencies to manage and grow customer value (historical, anticipated and network value)
Integrate these values to create a quantifiable equation and understand components that drive CRM
This a a graduate course presentation in current ma more
This a a graduate course presentation in current marketing issues relating to BI (business intelligence). Oracle 2006 white paper was extensively referenced as well as Mr Van Den Poel's work "Identifying the slope of a customer". less
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