12 SESSIONS

Sale price Price $1,140.00 Regular price

Welcome to In Person Coaching with Gina

My goal is to show you what you are capable of! I will simplify years worth of experience into a proven system that works. So that you can look + feel your best and achieve a life changing transformation! 

WHAT WILL YOU ACHIEVE?

Through IN PERSON COACHING, you can expect to:

  • improve physical health (reduce body fat, build muscle, improve cardiovascular fitness, increase flexibility)
  • become educated on proper exercise technique and how to confidently navigate a gym environment 
  • learn how to nourish your body and eat for your goals 
  • create healthy and sustainable lifestyle habits and routines 
  • be challenged and become the best version of you 

WHO IS IT FOR?

IN PERSON COACHING is perfect for you if:

  • you are just starting your fitness journey or trying to get back into a routine 
  • you are looking to achieve a lifestyle transformation 
  • you want to minimize wasted time and maximize results 
  • you struggle with maintaining healthy habits and prioritizing your goals 
  • you feel burnt out (increased stress, disrupted sleep quality, and low energy).

INCLUDES:

  • Consultation & Body Assessment 

  • Customized Training Program: 12 (60 MIN) 1 on 1 Sessions  (Includes Foam Rolling, Warm-Up/Mobility, Workout, Cool Down/Stretch)

  • Nutrition Education, Customized Calorie and Macros, Meal Plans Designed With Your Preferences & Goals In Mind, Recipes, & More

  • Mindest & Habits Coaching

  • Check-ins & Progress Tracking 
  • Unlimited Accountability & Support From Gina (Your Coach)

 

 Special pricing when you purchase a package 

12 pack = $95/session 

24 pack = $90/session 

36 pack = $85/session

For packages, you have the option to pay in full or through a payment plan of 3 installments.

All payment plans require a deposit ($380 for 12 pack, $720 for 24 pack, & $1,020 for 36 pack).

Deposits are to be paid upon registration. Afterwards, installments will be collected on a weekly or biweekly basis (depending on use of package). 

 APPLY HERE