Contact K5 Learning Customer Service
K5 Learning Phone Numbers and Emails
Toll-Free Number:
-
(888) 281-2145
K5 Learning Emails:
K5 Learning Customer Service Overview
The aggregated data is based on calls made from PissedConsumer.com website and questionnaires provided by PissedConsumer.com users.
K5 Learning Customer Service is rated at 3 out of 5. Consumers who contact the company are mostly neutral. More commonly used way of contact is by phone.
The best phone number to call K5 Learning is 8882812145.
The longest wait times are on Monday, while the shortest are on Tuesday. The average call time is 1 minute.
People call K5 Learning mainly because of activation/ cancellation, refund and request for information.
The aggregated data is based on calls made from PissedConsumer.com website and questionnaires provided by PissedConsumer.com users.
K5 Learning Customer Service is rated at 3 out of 5. Consumers who contact the company are mostly neutral. More commonly used way of contact is by phone.
The best phone number to call K5 Learning is 8882812145.
The longest wait times are on Monday, while the shortest are on Tuesday. The average call time is 1 minute.
People call K5 Learning mainly because of activation/ cancellation, refund and request for information.
The best email to contact K5 Learning is customer-service@k5learning.com. 50% of customers use this email address to address their issues and concerns.
Contact Information
K5 Learning Website:
K5 Learning Help Center:
Corporate Office Address:
Summary of K5 Learning Customer Service Calls
CALLS
DURATION
RESOLVED
Top Reasons of Customers Calls
Consumers Call the Most From
Why Do People Call K5 Learning?
Activation/ Cancellation Question:
- “Cancel subscription”
Refund Question:
- “Refund”
Request for Information Question:
- “I have question about subtraction”
Compare K5 Learning Customer Service To
Companies are selected automatically by the algorithm. A company's rating is calculated using a mathematical algorithm that evaluates the information in your profile. The algorithm parameters are: user's rating, number of resolved issues, number of company's responses etc. The algorithm is subject to change in future.
