Presenters: Michelle E. Collie, PT, DPT, MS, and Scott Wick

This webinar will be recorded live on February 19, 2020, 2:00 – 3:30 pm EST. Why did this patient come to your practice? An accurate answer to this question provides access to valuable data that can be used to measure the effectiveness and return-on-investment of marketing initiatives. This course will begin with the Why: why it's important to collect the data. Next, we will introduce a categorization system developed to help practices gather useful data, including best practices for gathering this information. Finally, we will provide examples of how this data can drive successful marketing initiatives.

Learning Objectives

Upon completion of this course, participants should be able to:

  • Understand and be able to use this PPS-developed system to categorize new patients, based on primary and secondary influencers.
  • Implement a system, to accurately collect data on new patients.
  • Measure the return on investment for specific marketing initiatives.

About the speakers:

Michelle has served on the PPS Marketing and PR committee since its inception in 2011, and has been the chair for the last 3 years. In this time she has published over 40 articles on marketing and public relations in the Impact magazine; led the development of the FitFactor, @myphystherapist, the PPS Monthly Marketing Toolkit, and the 99 Marketing Ideas project; presented and facilitated discussions at the PPS annual conference; and hosted webinars on marketing and public relations. Michelle is the CEO of a multi-clinic private practice with locations in Rhode Island and Massachusetts that has continued to grow annually with strategic marketing efforts, year over year. Performance Physical Therapy was the recipient of the 2014 Jane L. Snyder Practice of the Year award.

Scott is a founding and current member of the PPS PR & Marketing committee. he contributes to initiatives like 99 Marketing Ideas, Marketing 101 Video Series and Monthly Marketing tool kits. Scott has over 20 years of healthcare experience with Therapeutic Associates and built the marketing department from the ground up to serve the now over 90 clinical locations. He serves as a guest instructor for PT curriculum at various universities, guest instructor with Evidence in Motion transitional DPT program on Marketing and Faculty Member with TAI University. He is an author and instructor for the PPS Marketing 101 Video Series.

PPS Member discount will display at checkout.

Course expires February 19, 2023

Course Code:

LMS-E391

APTACategory

Category1

cert_CA approval

CPTA2020-21

cert_Insert Up To

No

cert_No IACET

No

cert_NY approval

Yes

cert_Transcript stmt

No

cert_TX approval

1909019TX

CEU Approval and Certification - PPS

As a Component of the American Physical Therapy, Private Practice Section online courses are accepted by the following physical therapy licensure boards, as allowed by the type of course requirements in state regulations: AL, AZ, CO, CT, DE, DC, FL, GA, HI, ID, IL, IN, IA, KS, KY, MI, MN, MS, MO, MT, NE, NH, NY, NC, ND, OK, OR, PR, RI, SD, TN, UT, VT, VA, WA, WV, WI, WY.

The Private Practice Section is accredited by the California Physical Therapy Association (Provider # CPTAAP-12) and the Texas Physical Therapy Association (Provider # 2008027TX). Thus, Private Practice Section course credits are accepted in California and Texas.

PPS online courses are NOT approved in AK, AR, LA, MD, NV, NM, NJ, OH and PA.

PPS issues CEUs/CCUs based on the following definitions: 1 CEU = 10 contact hours/10 CCUs. .1 CEU = 1 contact hour/1 CCU. 1 contact hour/1 CCU = 60 minutes of structured educational activity.

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Private Practice Section

#Lessons:
1PDF
Overview
Type:E-Learning Course
Credits:0.15
Credit Categories
Learning Time:1h  30m
Domains:scott wick, marketing, data, michelle collie
Enrollment
Price:$155.00
Available discounts:
  • Non Member
    $155.00
    (until 12/31/2030)
  • Member
    $120.00
    (until 12/31/2030)
  • Private Practice
    $89.00
    (until 12/31/2030)
* Prices in US Dollar