Data Driven Decision Making:
An Evidence-Based Approach to Managing Your Association


For years, C-suite association executives and Board members have heard about the benefits “Big Data” brings to marketing.  What’s new is how data is transforming association management.

From benchmarking to constituent behavior, data is playing an all-new role in helping associations make decisions about how to set prices for dues and conferences, redesign events, motivate member recruitment, build a stronger culture and much more.

Now, a new webinar from Association TRENDS shows you how to use your own evidence-based approach to make decisions that help your organization grow and thrive.

Register now for Data-Driven Decisionmaking: An Evidence-Based Approach to Managing Your Association. 

In this 90-minute webinar, association marketing and research expert Kevin Whorton shows you how to use Big-Data tools you may already have to make better decisions, build a stronger culture and seize emerging opportunities for growth, engagement and mission success.

The value of a data-driven mindset.  You’ll learn how to replace “low information” debates and discussions with a data-intensive approach that helps boost benefits and reduce risks. Plus, you’ll have the chance to ask your own questions during the Q&A portion of the webinar.

Reserve your space now to reap the benefits of an evidence-based approach to association management, including how to:

  • Learn the right things from peers, using structured benchmarking, competitive intelligence, and through listservs and conference content
  • Incorporate hard data into discussions about how you’re growing, succeeding and increasing engagement
  • Collect data more effectively to recognize what influences trial-and-adoption, long-term engagement and other
  • Motivate volunteers to balance their expertise and intuition with evidence
  • Use a data-driven approach to set conference rates, redesign events, change dues structure and pricing, and determine the best incentives for member recruitment, renewal and reinstatement
  • Lead by example to promote a data-driven culture

Don’t miss this practical program! You’ll come away ready to apply a Big-Data mindset—and tools—to propel better decisionmaking and success.

Register now for Data-Driven Decisionmaking: An Evidence-Based Approach to Managing Your Association.

Meet Your Webinar Leader

Kevin Whorton, President of Whorton Marketing & Research, has served in senior management roles in large trade associations, professional societies, and large charities including NAHB, ASHP, NACDS, and Catholic Relief Services. He first learned pricing methods through graduate work in economics and as an analyst at the Consumer Price Index, then later helped test and set prices for his associations, and for consulting clients. He has presented his mix of academic and applied approaches to pricing on this issue through workshops at ASAE and the DMA Nonprofit Federation over the past 15 years.

Who Should Attend

This webinar is of value to all organizations, especially trade associations, professional societies and charitable philanthropic organizations. Attendees who will benefit most include:

  • CEOs, Executive Directors
  • CFOs
  • CTOs
  • CIOs
  • Board Members

Don't wait, register your entire team today!

CAE Credits: All live webinar attendees are eligible for 1.5 CAE credit hours. Association TRENDS is a CAE Approved Provider. Our programs meet the requirements for fulfilling the professional development requirements to earn or maintain the Certified Association Executive credential. We will maintain records of your participation in accord with CAE policies. For more information about the CAE credential or Approved Provider program, please visit

Have a question? Vist our FAQ page here

Qty Price Product Name
$215.00 Data Driven Decision Making: An Evidence-Based Approach to Association Management (OnDemand: Active for 12 months from 04.24.2018)
$1397.00 The Association Webinar Training Pass (Includes 12 months of unlimited live and archived webinars)