Price: $69.99
(as of Dec 24, 2024 11:18:19 UTC – Details)
From the brand
Is Discontinued By Manufacturer : No
Package Dimensions : 18.03 x 11.54 x 6.85 inches; 1.96 Pounds
Date First Available : July 2, 2021
Manufacturer : Dakini
ASIN : B094NGJFYV
Say Goodbye to Neck and Back Pain: Embrace holistic healing using our relaxing pressure point mats. Tailored for the modern lifestyle, our full body Acupressure set includes a neck pillow as well as an extra mini acupressure pad which can be rolled up or placed on a cushion to target hard to reach areas!
Full Body Relaxation: This isn’t your typical acupressure massage mat. Our unique three piece set has a total of 12,830 spike points to give a full body massage, delivering the ultimate tension-melting experience in 20-30 minutes. No need for those expensive weekly physio sessions!
Get Better Sleep: Drift into deep slumber with our accupuncture mat; simply introducing a 20 minute lye-down on the mat set before bed will help to rejuvenate with improved relaxation, deeper sleep and help to wake up refreshed. Ideal for your pre-sleep routine.
Does It Hurt?: Everyone’s pain threshold is different so, initially, it might feel a bit unusual – a sign it’s working! Stick with it and use it on a daily basis and your Dakini acupressure set will soon be your go-to for unwinding, turning discomfort and pain into your daily dose of blissful relief.
The Dakini Difference: If for any reason, you’re finding it hard to get used to, we’re here with unwavering support. Rooted in wellness wisdom, we offer guidance for every step of your journey. Count on us for quality and a community ready to assist. Your comfort, our commitment
Customers say
Customers find that the acupressure mat provides relaxation and relief from tension. They appreciate its quality, foldability, and design. The mat is sturdy and well-made, folding up into a bag for easy storage. Many customers find it useful for relieving pain and improving sleep. However, some customers dislike the comfort level of the product.
AI-generated from the text of customer reviews
