Once you’ve understood the factors behind your costs, you can start optimising operations to reduce cost.
Step 1: Eliminate Redundant Interactions
The fastest way to reduce customer support costs is often to eliminate redundant interactions caused by unresolved upstream issues rather than new customer needs.
Common causes include:
- Poor first-contact resolution
- Confusing billing communications, shipping updates, or policies
- Missing customer notifications
For example, many e-commerce brands discover that “Where is my order?” tickets account for a substantial percentage of inbound volume. According to lateshipment.com, it accounts for 20% to 40% of all support tickets and rises during the holiday season.
The root issue is usually not customer impatience. It’s a lack of proactive communication.
Sending automated shipping notifications, delivery updates, appointment reminders, or service alerts can dramatically reduce unnecessary inbound contacts.
To identify redundant interactions:
- Analyse ticket categories
- Tag repeat contacts
- Review common escalation paths
- Investigate high-volume customer inquiry types
The goal is to eliminate the trigger, not simply process the ticket faster.
Key metric: First Contact Resolution (FCR)
Step 2: Deploy Self-Service the Right Way
Self-service is one of the most effective tools to reduce the overall customer support cost. However, many implementations fail because they prioritise deflection over customer success.
Self-service can include:
- Knowledge bases
- FAQs
- Chatbots
- Customer portals
- Interactive Voice Response (IVR)
The most successful self-service systems share three characteristics:
- They connect to real customer needs: Customers want specific information about order status, return eligibility, account details, and subscription information. Self-service systems should connect directly to backend systems wherever possible.
- They focus on high-volume queries: Self-service resources should cover the most common customer feedback or customer inquiry categories. These categories usually represent a sizable portion of total contact volume and offer the highest return on investment.
- They offer easy human escalation: Complex situations and emotionally charged interactions often require human judgment. A successful self-service strategy should optimise for resolution while still preserving a clear path to human support.
Key metrics: Deflection rate combined with reopen rate.
Step 3: Use Automation to Handle Volume, Not to Replace Judgment
Many organisations make the mistake of trying to automate every customer interaction.
The better approach is to automate repetitive tasks while reserving human expertise for situations that require empathy, creativity, or negotiation.
Automation performs exceptionally well when handling:
- Order tracking
- Appointment scheduling
- Payment processing
- Ticket routing
- Return label generation
- Address updates
- Status notifications
However, automation struggles with:
- Complaints
- Complex disputes
- Emotional customer conversations
- Customer retention conversations
- High-value customer relationships
The most effective operating model is a hybrid one.
AI and automation handle routine requests at scale, while human agents focus on high-value interactions where experience and judgment matter most. This approach lowers customer support costs while preserving service quality.
Businesses with effective automation often report significant reductions in routine ticket volume, lower cost per contact, faster response times, and improved support agent productivity.
Key metric: Automation resolution rate versus escalation rate.
Step 4: Streamline Technology and Channel Mix
Overly fragmenting service channels can impede operations.
Common signs of an overly fragmented tech stack include customer service agent collision, ticket proliferation, siloed channels, and a growing maintenance burden. These eventually lead to increased customer service costs.
Consolidating your CX stack helps create a unified agent view of the customer, which leads to faster resolution times, lower licence costs, and simpler quality assurance processes.
Look for omnichannel platforms that bring voice, chat, email, and social interactions into a single interface. Sterling Outsourcing supports clients within platforms they already use, including Zendesk, Amazon Connect, Genesys, and Avaya, reducing disruption while improving operational efficiency.
Technology is only part of the equation. Channel mix also affects customer support costs because not all channels have the same cost per contact.
Channel | Relative Cost |
Self-service portal | Lowest |
Chatbot / AI assistant | Very low |
Email | Low |
Live chat | Medium |
Phone/voice | Highest |
Here’s what businesses can do to reduce customer service costs:
- Shift suitable interactions to chat, SMS, and email.
- Use IVR and self-service to deflect simple requests.
- Match channels to query complexity.
- Reserve voice support for urgent, complex, or high-value interactions.
Key metric: Cost per contact by channel
Step 5: Reduce Attrition to Reduce Cost
Employee turnover is one of the most overlooked drivers of customer service costs.
Every departure creates recruitment, onboarding, training, and quality assurance expenses while reducing consistency for customers.
Reducing attrition starts with operational fundamentals:
- Strong knowledge management systems
- Clear support processes
- Ongoing coaching
- Manageable workloads
- Stable scheduling
- Career development opportunities
Sterling Outsourcing maintains monthly support agent attrition below 2%, significantly lower than the industry average, helping clients avoid recurring hiring and retraining costs.
Key metric: Agent turnover rate
Step 6: Define SLAs, KPIs, and Reporting Structure Before Launch
Cost-saving efforts can damage the customer experience if success metrics aren’t defined up front.
Key service level agreements (SLAs) should include:
- First response time
- Resolution time
- Escalation thresholds
- Uptime targets
Key customer service KPIs can include:
- CSAT
- FCR
- Cost-per-contact
- Deflection rate
- Agent utilisation
- Reopen rate
Establish weekly reviews, monthly trend analysis, and quarterly optimisation sessions to ensure customer support costs are falling without sacrificing quality.
Sterling Outsourcing provides customisable reporting and real-time Power BI dashboards, giving clients full visibility into outsourced operations.
Step 7: Treat Optimisation as an Ongoing Discipline, Not a One-Time Fix
Businesses that successfully reduce customer service costs view optimisation as an ongoing feedback loop rather than a one-time project.
Continuous improvement activities include:
- QA reviews
- Ticket category analysis
- Customer service agent coaching
- Workflow refinement
- Self-service updates
Watch for warning signs such as declining FCR, lower CSAT scores, increasing reopen rates, or rising cost per contact.
Sterling builds continuous coaching, QA reviews, and performance optimisation into every engagement from day one.
