Marketing and sales play a key part in convincing someone to purchase your product.

Still, customer service (CS) has the greatest potential when it comes to shaping and influencing their customer experience.

Competitive businesses realize that customer service can’t be conducted haphazardly. They develop a strategic approach grounded in realistic goals, which seek to enrich customer interactions in concrete ways. Here are the most effective approaches decision-makers should take when formalizing and deploying these goals.

Ensure Alignment between Customer Service and Overall Company Goals

Mismatches between the company’s overall strategy and CS’s everyday efforts are a major source of inefficiency and tension. It can lead to wasted work and even put customers off if departments like marketing and sales focus on aspects like retention, while support seeks to improve operational efficiency.

The company’s general objectives and CS’s specific goals need to synergize.

That means leadership and team members at the customer service level can’t be siloed. Rather, they should be made aware of current and changing goals so they can adapt accordingly.

For example, the company might focus on boosting profitability this quarter. Customer service can help by improving the rate of first-time ticket resolution, reducing the number of repeat tickets, and resources spent on resolving them.

Take a Metric-Driven Approach

Better overall alignment identifies what to focus on. Meanwhile, the data-heavy nature of customer service lends itself well to formulating realistic and actionable improvements that further them. Resolution rates, response times, or net promoter and customer satisfaction scores (NPS & CSAT) are invaluable metrics. Viewed historically, they can uncover patterns in everything from ticket volume fluctuation to changes in overall customer satisfaction.

Most importantly, CS leadership can use these metrics to identify shortcomings and push current performance without imposing unrealistic expectations. For example, if the company wants to achieve greater customer loyalty, the CS department can contribute by boosting NPS.

If the NPS was 65 last quarter, a boost to 70 is attainable and a reasonable ask. With this in mind, CS agents can implement targeted actions like more personalized customer handling based on accumulated data or start sending follow-up messages once a ticket is resolved to make sure the customer is indeed satisfied.

Don’t Neglect the Qualitative Aspects of Customer Service

Most customer service operations can be measured.

Ticket volume, average response, and handle times, and escalation rates don’t paint the full picture, though. If anything, focusing solely on quantifiable metrics could cause long-term damage to your brand.

Let’s say that your company sells car seats and cultivates a caring, family-friendly brand. Customers who contact support will understandably be emotionally engaged since any issues or defects directly impact children’s safety. Using formulaic scripts and dispassionately treating valid concerns as just another ticket to resolve quickly in the name of efficiency may cost you referrals or repeat business.

Just because customer feedback isn’t as straightforward to measure as other KPIs doesn’t make it a less valuable strategic resource for realistic goal setting.

Surveys, sentiment analysis, and customer interaction reviews are invaluable for highlighting customer pain points and tailoring your approaches for more successful outcomes.

Enhance Efficiency and Workflow Procedures with AI

Customer service is undergoing a comprehensive transformation spearheaded by several forms of artificial intelligence. AI for customer service is driving a major transformation across the industry. Chatbots are the most common example, known for their direct interaction with customers.

The advantages of chatbots in the context of realistic CS goal setting are twofold. Customers want personalized experiences alongside the ability to resolve as many issues as possible through self-service. Chatbots with insight into their data and the authority to handle most low-level inquiries are perfect for this.

AI adoption shouldn’t be indiscriminate, especially in a field that has such extensive access to sensitive data, including customers’ personally identifiable information, purchase histories, and call transcripts. Using the best LLM router is a cost-effective solution that ensures only models proven to abide by data safeguards and compliance requirements handle sensitive data. Meanwhile, generalized, rote, or anonymized requests get routed to models that don’t need to be as sophisticated or expensive to use while still providing satisfactory outputs.

Treat Goal-Setting as a Collaborative Effort

Customer support agents are the closest and most frequent point of contact customers have with your company.

As such, they’re most keenly aware of both day-to-day inefficiencies and long-term obstacles threatening goal realization.

Team leaders and managers who dismiss their insights and complaints take several needless risks.

On the one hand, this breeds resentment. An agent who gets repeatedly shot down when drawing attention to problems will be less motivated to do so in the future, not to mention be less inclined to realize their full potential in their role.

On the other, involving agents in the goal-setting process fosters agency. This translates into intrinsic motivation and a greater sense of responsibility. Decision-makers don’t need to act on every suggestion, but incorporating pertinent ones into customer service goals benefits everyone.

Conclusion

Advertising fatigue and greater awareness of their rights contribute to customers’ rising expectations. Meeting these expectations is only possible if your customer service department adopts and continues to adapt realistic goals in alignment with the company’s broader vision of growth. Pursue the avenues we’ve introduced you to and ensure that your CS team’s goals remain within reach.