Cost per Contact
Definition:
Cost per Contact is the total annual operating expense of the customer support center divided by the annual contact volume of the customer support center. Operating expenses include all employee salaries, overtime pay, benefits, and incentive compensation, plus all contractor, facilities, telecom, desktop computing, software licensing, training, travel, office supplies, and miscellaneous expenses. Contact volume includes contacts from all channels: call, chat, chatbot, email, walk-in, AI support, etc.
Why it’s important:
This metric helps you understand how efficiently your Customer Support Center conducts its business. If your Cost per Contact is higher than the industry average, it is not necessarily a bad thing, particularly if you maintain higher-than-average quality levels, such as a good Customer Satisfaction Score and meeting service level targets. Conversely, if your Cost per Contact is low, it does not necessarily mean it is good, particularly if the low cost is achieved by sacrificing the Customer Satisfaction Score, Call Quality, or Service Levels. Every Customer Support Center should track and trend Cost per Contact on a monthly basis and measure it month-on-month.
Example:
A SaaS company, CloudHelp, has the following details:
Annual operating expenses: $2,000,000
Annual contact volume: 200,000 interactions
Cost per Contact = 200,0000/200,000 = 10 USD per Contact
Let's assume the industry average Cost per Contact is $8 per interaction. However, CloudHelp maintains a CSAT score of 92%, significantly higher than the industry average of 85%. The higher cost is justified because of the superior quality of customer service provided, which leads to increased customer retention and satisfaction.
On the other hand, another support center, QuickFix, reports a Cost per Contact of $6 per interaction, which is below the industry average. However, their CSAT score is 70%, and they frequently miss service-level targets, indicating that their low cost comes at the expense of service quality.
This comparison highlights that Cost per Contact alone does not determine efficiency. Instead, it should be correlated with quality metrics like CSAT and Service Levels to provide meaningful insights.
Net Level 1 Resolution Rate
Definition:
Net Level 1 Resolution Rate is the number of support cases resolved by the Level 1 Support Team divided by the number of support cases that could potentially be resolved by the Level 1 Support Team. Support cases escalated to other support levels (e.g., Level 2, Level 3, or field support) are not counted under this metric. Cases that cannot be resolved at Level 1, such as hardware failures or software bugs where resolution control lies outside the Level 1 Support Team, are excluded from the calculation.
Why it’s important:
Net Level 1 Resolution measures the overall competency of the Tier 1 Customer Support Team and serves as an essential factor in maintaining Total Cost of Ownership (TCO). A high Level 1 Resolution Rate minimizes TCO because cases resolved at Level 1 avoid the higher costs associated with escalations to more advanced support tiers (e.g., IT, Desktop Support, Vendor Support). The Customer Support Team can improve this metric through training and by investing in technologies such as remote diagnostic tools and knowledge-management systems & AI.
Example:
Let’s consider the following scenario for a SaaS company:
The Level 1 team handles 1,000 cases per month.
Out of these, 400 cases are escalated to Level 2 due to a lack of training or knowledge, even though they could have been resolved at Level 1.
The cost to resolve a case at Level 2 is $5 per case.
Net Leve 1 Resolution Rate = Case resolved by Level 1/Total cases that could potentially be resolved at Level 1
If the Level 1 team resolves 600 cases, the Net Level 1 Resolution Rate is:
Net Leve 1 Resolution Rate = 600/1000 = 60%
Cost Implication:
If the 400 escalated cases could have been resolved at Level 1, the $2,000 additional cost (400 cases × $5) spent by Level 2 could have been saved.
Impact:
Improving the Net Level 1 Resolution Rate through better training and knowledge-management tools would allow more cases to be resolved at Level 1, saving costs and increasing efficiency. For instance, if 200 additional cases (50% of the escalated ones) were resolved at Level 1, the Net Level 1 Resolution Rate would rise to 80%, and $1,000 could be saved monthly.
This example highlights how Net Level 1 Resolution Rate directly impacts cost efficiency and the overall operational effectiveness of the support center.
Enhance Your Support Leadership Skills
If you're a support leader looking to enhance your skills and build a successful support center consider these top Udemy courses:
Customer Support Team Leader Mastery Certification
Customer Support Business Planning
Customer Support Technology & Finance | Udemy