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June 2, 2015
MARKETING, MEMBERSHIP & COMMUNICATIONS CONFERENCE 2015
How Smart Business Intelligence Yields Rapid Association
Growth
A Presentation By:The Marketing Section Council of
Thomas B. McClintockNSI Partners
Catherine Ort-MabryCOM Solutions
Presentation Leaders:
Want More Data-Driven Growth?
MMCC introduces
The Knowledge Bank
Associations Now Plus is currently running a 4-part
Data-Driven Growth series based on this session
1 2 3
How Smart Business Intelligence Yields Rapid Association Growth
Are you facing membership decline?
Reverse it with a data-driven marketing program
Our panelists turned alarming declines into growth ranging from 5% to more than 1000%
How Smart Business Intelligence Yields Rapid Association Growth
Key Point:
Marketing is about
connecting people to solutions.
How Smart Business Intelligence Yields Rapid Association Growth
Goal: Become a trusted resource for your key stakeholders.
Relationship Marketing Set Strategic, Quantifiable Goals and Track Progress Use Business Intelligence Data to:
1. Identify Members’ Needs2. Add Value
How Smart Business Intelligence Yields Rapid Association Growth
Increased Competition
Inadequate Value Proposition
Inadequate Pricing
Reasons for declining membership:
How Smart Business Intelligence Yields Rapid Association Growth
Conduct a Data Inventory
Collect Data Segment & Target Membership by
Need
1. Identify Members’ Needs
How Smart Business Intelligence Yields Rapid Association Growth
a) Conduct Data Inventory: List internal data channels List industry data channels Identify data points Include location Designate staff member responsible
How Smart Business Intelligence Yields Rapid Association Growth
b) Collect Data: Scrub contact database Collect specific industry data Conduct membership surveys Collect benchmarking data re finances, audits,
engagement, legacy planning Analyze and combine data in new ways to get new
insights
How Smart Business Intelligence Yields Rapid Association Growth
c) Segment & Target Membership by Need: Develop partnerships, e.g., group practice membership
packages Provide survey with membership discount Tier memberships by age & channel Pitch membership by engagement & age
How Smart Business Intelligence Yields Rapid Association Growth
2. Add Value Provide exposure for members to their peers Develop & offer proprietary industry market
reports Identify what you can do for members that they
can’t do themselves Become the go-to source for quality information
Data-Driven Growth
Four Steps to Data-Driven Growth:
1. DEFINE PROBLEM (e.g., Declining Membership)
2. SET DATA GOALS (e.g., data to help provide patient referrals or data our members want to purchase)
3. DATA SOURCES REVIEW AND COLLECTION (don't forget external sources for true business intelligence!)
4. APPLY RESULTS by segmenting and targeting Membership by need
Big Data: here because data storage is now cheap1. Collecting data isn't as expensive as
narrowing it down 2. Filtering can now be postponed until
the data set is better understood.
$3.50/lb
Data MiningSET DATA
GOALS FIRST
Increase member retention? Increase online sales? Increase non-dues revenue?
CONSIDER ALL DATA SOURCES
Non-financial transactions? Awards? Volunteer recruitment?
CREATE DATA CHANNEL
INVENTORY
List Data Channel Data points Location Staff member responsible
CHECK DATA POINTS
Accuracy Completeness Inconsistencies Integrity
✔ ✔ ✔
How Smart Business Intelligence Yields Rapid Association Growth
Angela BedellCAE, Executive Director, Kansas City Medical Society
Tom MorrisonCEO of MTI Management, Metal Treating Institute
Rose ButtsDirector, Marketing and Membership, Renal Physicians Association
Michael HayesDirector, Veris Consulting, Inc.
Why associations have a leg up in data analytics:
Connection Marketers everywhere want what we have: Established relationships Permission to engage Track record of
communication Ambassadors
Communication channels Behavior patterns Relevance Credibility Trust
Q&A Kickoff
Your CEO wants to cut expenses and increase revenue for one of your key conferences. What do you do?
10 data sources to consider - are there more for you?
Demographics Purchase information Spending patterns Attendance patterns Dues paid
Website usage Committee/leadership position Survey findings Donations Communication preferences