09/24/2025 | News release | Distributed by Public on 09/25/2025 10:35
Acquiring a new customer can cost up to five times more than keeping one. That's why the best companies obsess over customer service; it's the glue that keeps people loyal. Providing excellent customer service is crucial for driving sales growth and retaining customers. It involves support before, during, and after purchase, creating a human or digital touch that makes customers feel valued at every stage.
It's no surprise that 64% of businesses report increased sales due to good service. Customer service reps who combine emotional intelligence with product knowledge don't just solve problems, they create experiences customers remember.
That's the kind of service that transforms a purchase into a relationship. And in today's world, where competition is a click away, strong relationships are everything.
In this article, you'll learn:
Let's get started and turn your customer service into a growth engine.
Customer service is only one part of a bigger picture: the overall customer experience. From the moment someone discovers your brand to the follow-up support they receive after a purchase, every interaction shapes how they feel about your business.
Understanding that the full journey is critical because it helps you see where service fits into the larger story. A smooth checkout, a clear onboarding email, or a helpful live chat can feel effortless to the customer, but behind the scenes, these touchpoints are where customer loyalty is built or lost.
Customer feedback is one of the most powerful tools for understanding this experience. Post-chat ratings, surveys, and even casual social media comments reveal what's working and where customers are struggling. Acting on this feedback doesn't just fix problems; it shows customers their voice matters, which builds trust.
But there's another layer: customer sentiment. While feedback tells you what customers say, sentiment reveals how they feel. It's the emotional tone behind their words, whether they're frustrated, satisfied, or delighted.
Businesses can analyze sentiment across chats, reviews, and emails to uncover patterns: are customers stressed about shipping delays, excited about new features, or confused by pricing? This emotional context helps teams prioritize fixes and tailor responses.
The Text® App makes this possible by unifying live chat, ticketing, and AI-driven virtual agents in one workspace. AI answers routine questions instantly, while complex or emotionally charged conversations are routed to human agents with full context. Our reporting also surfaces trends in customer satisfaction and sentiment, giving teams a clear picture of where experiences delight customers and where they fall short.
The best companies put themselves in their customers' shoes: "If I received this email, would I feel valued?" or "If I opened this chat, would the tone reassure me?" By combining feedback with sentiment analysis, they gain a deeper view of customer needs and expectations.
That understanding allows them to deliver more personalized, effective support and turn everyday service into a loyalty driver.
Most articles on great customer service list the same old advice: "Be polite, respond quickly, and listen to your customers." This advice is helpful, sure, but not enough in 2025. Customers now expect not just speed but accuracy, empathy, and personalization at scale.
What sets the best companies apart isn't that they answer questions; it's that they solve problems fully, prevent frustrations before they happen, and add value that customers didn't even know they wanted.
Think about it: Sephora didn't earn customer loyalty by having agents say "thank you for waiting." They turned live chat into a beauty consultation service, so customers walked away not only with answers but with confidence in their purchase. That's the kind of customer experience that keeps people coming back.
Here's how nine proven customer service tips can transform everyday support into loyalty-building experiences.
Few things frustrate customers more than being bounced from one agent to another, or having to call back multiple times for the same issue. First-contact resolution, solving problems during the very first interaction, is a critical measure of service quality.
When customers get their issue fixed right away, they leave with a sense of relief and confidence in your brand. Imagine someone reaching out about a billing error: if the agent has both the knowledge and the authority to fix it on the spot, the customer walks away impressed.
If not, customers are left waiting, repeating details, and growing more impatient with every handoff. Training customer service representatives to resolve issues fully the first time sends a strong signal that you value your customers' time.
Most complaints come from unmet expectations, not from the actual problem. If shipping takes five days, say it clearly at checkout.
If your return window is 14 days, make that obvious before purchase. Disappointment comes when a customer expects next-day delivery and doesn't get it, or assumes they can return something only to find out they can't.
Being upfront, even about limitations, builds trust. Customers are far more forgiving of delays, outages, or policy restrictions if they know about them in advance. It's when businesses hide the truth or overpromise that trust erodes quickly.
Personalization doesn't have to mean advanced AI or big data; it starts with small, human touches. Using someone's name in a chat, referencing their order history, or sending a quick follow-up email after an issue is resolved can turn a routine interaction into a memorable one.
Sephora is a great example: they don't just use live chat as a basic help channel, but as a consultation tool where customers receive personalized beauty recommendations. That makes shoppers feel like they're speaking to a trusted advisor, not just a faceless support agent. These touches turn transactions into relationships.
The same principle scales with the right tools. The Text App brings personalization into everyday support by giving agents full customer context, past chats, ticket history, and even purchase details, all in one workspace. Our AI can greet returning visitors, suggest products, or automatically handle simple requests, while handing off more complex or emotional issues to a human agent.
Providing excellent customer service isn't only about reacting; it's about predicting. Teams that pay attention to recurring issues can address them proactively. For example, if customer service representatives notice that many customers are confused about a new feature, you can update onboarding material or add an in-app tip before the questions even come in.
Pattern recognition also helps identify bigger operational problems, like repeated complaints about delivery times in a certain region. Anticipating needs makes service feel effortless to customers, while also reducing repetitive workload for your customer service team.
Customers today expect instant answers. Sometimes that means reaching an agent, but more often, it means finding the solution themselves. A well-structured knowledge base, detailed FAQ section, or even how-to videos empower customers to fix small problems without waiting in a queue.
For instance, troubleshooting steps for a common login issue can be made available in seconds online instead of tying up a support agent. Self-service not only satisfies customers who prefer independence, but it also reduces the number of incoming tickets, giving your team more bandwidth for complex cases.
Support needs don't stop when your office closes. Customers may shop late at night, across time zones, or during weekends. While maintaining a full human support team 24/7 is unrealistic for most companies, AI chatbots bridge that gap.
They can instantly answer frequently asked questions, provide order updates, or guide customers to the right resource, even at 2 AM. And when a question requires a human touch, they can escalate it seamlessly. This blend of automation and human service shows customers you're always there when it matters, which builds trust and reliability.
Every business makes mistakes: orders get delayed, features break, or a customer receives the wrong product. What sets great companies apart is how they handle it. A fast, sincere apology combined with a clear solution often turns a negative situation into a loyalty-building moment.
Saying, "We're sorry this happened, and here's how we'll fix it" is far more powerful than making excuses or deflecting blame. Customers don't expect perfection; they expect accountability. Owning up to mistakes shows integrity and can even strengthen relationships.
Confidence comes from knowledge. When agents understand your products, pricing, and policies in detail, they provide faster and more accurate answers. Customers feel that confidence, too: They're reassured when a rep knows exactly which model works best for them or can clearly explain how a subscription plan is structured.
Without this knowledge, agents are left guessing, escalating, or giving incomplete answers, none of which build trust. Regular training and easy access to updated resources make your support team a true extension of your brand expertise.
Customer service isn't just about preventing churn; it's about fueling growth. Happy customers spend more, return more often, and tell others about their experience. Word of mouth from great service is one of the most cost-effective marketing tools you'll ever have.
On the flip side, bad service spreads even faster; people who've had a poor customer experience tell nearly twice as many people. Investing in excellent service is one of the smartest growth strategies a business can adopt. It keeps the customers you already have while attracting new ones through referrals and reputation.
Behind every great customer experience are the right customer service tips put into practice by skilled representatives who know how to listen, respond, and resolve with confidence. Great customer service professionals must possess excellent communication and interpersonal skills to connect effectively with customers and address their issues in a way that feels both personal and professional.
Developing these essential customer service skills, active listening, patience, and problem-solving, is critical to building loyalty. An agent who listens carefully, asks clarifying questions, and offers thoughtful solutions creates far more trust than one who rushes through a script.
Training also plays a huge role. Customer service teams that practice empathy and learn to see situations from the customer's perspective are better equipped to deliver personalized support. Add in emotional intelligence and positive language, and suddenly, even difficult conversations leave a positive, lasting impression.
Clear communication is one of the easiest ways to make or break a customer's experience. You might have the right solution, but if you explain it poorly, or worse, leave the customer guessing, the interaction can still feel like a failure. A confusing answer can frustrate customers just as much as a slow response.
Here's a fun fact: studies show that people remember only 25-50% of what they hear during a conversation. That's why good customer service agents who confirm and repeat key details back to the customer (for example: "So just to be sure, you'd like to change your billing cycle to monthly, correct?") dramatically reduce misunderstandings. It sounds simple, but those tiny moments of confirmation prevent big mistakes.
Tone also matters. In text-based support, where body language is missing, every word counts. That's why PayPal, when scaling its global support, focused on creating consistent tone guidelines for customer service agents. The goal wasn't to script conversations but to make sure tone stayed helpful, clear, and human, whether an agent was handling a small merchant in Poland or a large partner in the U.S. Customers shouldn't feel like they're talking to a different company every time.
Speed is another part of communication, but it's a double-edged sword. Talking too fast, typing too quickly, or firing off templated answers can make customers feel rushed. On the flip side, silence in a live chat feels heavier than silence on the phone.
That's why many companies use small "agent is typing" indicators or quick acknowledgment messages like "I'm looking into this for you, thanks for waiting." Even when there isn't an instant fix, customers feel reassured that they haven't been forgotten.
The golden rule? Keep it simple. Customers shouldn't need a dictionary or a second email to understand your answer.
Technology can answer questions instantly, but it can't replace the feeling of being genuinely understood. That's where empathy comes in. Customers often reach out at stressful moments: a lost package, a billing issue, or a feature that doesn't work the way they expected.
The actual fix might be simple, but the emotions behind the request are real, and if those emotions aren't acknowledged, the solution can still feel unsatisfying.
Empathy is more than being "nice" or polite. It's about recognizing the customer's perspective, validating their feelings, and showing that their frustration matters. Done well, empathy turns tense customer interactions into opportunities for connection. Done poorly or ignored altogether, it leaves customers feeling invisible, even if their issue was resolved.
Companies that consistently train for empathy don't just solve tickets; they create stronger customer bonds that pay off in loyalty and referrals.
Here are a few ways empathy strengthens customer relationships:
When empathy becomes part of a company's culture, it shows in every conversation. Customers feel heard, even in the hardest situations. Agents feel more connected to the people they're helping, which improves morale and reduces burnout. And the business benefits from higher customer satisfaction scores, better customer retention, and more word-of-mouth referrals.
Imagine a customer who reports that your checkout page keeps timing out. They're frustrated, so they leave a review about it. If your customer service team just files that note away, nothing changes, customers keep leaving, and negative reviews pile up. But if your support and product teams treat it as a signal, investigate, and fix the bug, the impact is immediate.
The next time the customer shops, the process will be smooth. Not only will they be happier, but you'll have prevented countless others from experiencing the same problem.
That cycle-feedback → action → improvement, is what separates stagnant companies from those that grow. The same principle applies to surveys and ticket ratings. A simple "How did we do?" message after a chat can uncover small pain points before they become big ones.
Closed-loop feedback, where you respond directly to the customer who gave input, proves you're not just listening, but acting. That builds trust and often encourages even more customers to share their thoughts.
Improvement doesn't always have to be a huge change. Sometimes, it's as small as updating a confusing FAQ or tweaking the tone of automated messages. But when those small changes are consistently made based on feedback, customers notice. And when they feel heard, they stay.
At its best, customer feedback is free research. It's your customers telling you exactly how to keep them loyal. Businesses that see feedback as a gift, rather than a nuisance, are the ones that turn service into long-term growth.
If you can't measure it, you can't improve it.
Customer service may feel like a "soft skill," but behind every conversation are numbers that reveal how well your team is performing and how customers actually feel.
The smartest companies don't track dozens of vanity stats; they focus on a handful of metrics that directly affect customer satisfaction, loyalty, and business growth.
Here's how to measure what matters and use it to build stronger customer experiences.
CSAT is the simplest way to capture how customers feel after an interaction. It's often measured with a quick survey that asks, "How satisfied were you with your experience?" on a scale of 1-5.
How to measure it? Embed CSAT surveys at the end of live chats, emails, or support tickets. The formula is:
\text{CSAT score} = \frac{\text{# of positive responses (4 or 5)}}{\text{total responses}} \times 100
Sephora tracks CSAT in live chat to monitor whether customers find their beauty advisor consultations useful, not just quick. If certain advisors consistently score lower, this helps identify training opportunities.
FCR tracks whether a customer's issue is solved the very first time they reach out. Customers love it because it saves them from repeating themselves.
How to measure it? Track the percentage of tickets or chats marked "resolved" after one interaction. Many helpdesk tools let you tag repeat contacts.
FCR rate=issues resolved on first contacttotal issues×100\text{FCR rate} = \frac{\text{issues resolved on first contact}}{\text{total issues}} \times 100FCR rate=total issuesissues resolved on first contact×100
Telecom providers often monitor FCR because customers get frustrated with repeating technical issues. One provider found that by giving agents more troubleshooting authority, FCR jumped 20%, which reduced follow-up tickets and boosted customer satisfaction scores.
FRT is how long it takes your customer support team to send the first reply. Customers want to know their issue is being handled, even if the fix takes longer.
How to measure it? Calculate the average time from when a customer reaches out to when they receive the first response. For live chat, customers expect acknowledgment in under 30 seconds. For email, 24 hours is the industry benchmark, but best-in-class teams aim for under 6 hours.
PayPal standardized FRT goals across its global support teams. By using automated responses like "We've received your message and are working on it," it reassured customers instantly while still giving agents time to resolve complex cases.
NPS measures loyalty rather than single customer interactions. It asks, "How likely are you to recommend us to a friend or colleague?" Customers respond on a scale of 0 to 10.
How to measure it? Calculate using:
NPS=%Promoters (9-10)−%Detractors (0-6)\text{NPS} = \% \text{Promoters (9-10)} - \% \text{Detractors (0-6)}NPS=%Promoters (9-10)−%Detractors (0-6)
Software companies like Adobe use NPS surveys quarterly to see whether service experiences influence long-term advocacy. If NPS drops after a product update, support feedback can highlight what's confusing customers.
Customer retention tracks the number of customers who stay over time. Churn is the opposite, the percentage who leave. Both are heavily influenced by service quality.
How to measure it?
Retention rate=customers at end of period - new customerscustomers at start of period×100\text{Retention rate} = \frac{\text{customers at end of period - new customers}}{\text{customers at start of period}} \times 100Retention rate=customers at start of periodcustomers at end of period - new customers×100
LG Electronics found that resolving issues quickly through live chat kept warranty claim customers engaged instead of leaving the brand. Reducing churn even by 5% has been shown to increase profits by up to 95%.
These metrics focus on how your customer support team works: average handle time (AHT), number of chats per hour, resolution rate, etc. They're useful for efficiency, but must be balanced with quality.
How to measure it?
One ecommerce brand noticed agents with the fastest handle times had the lowest CSAT. By coaching them to slow down and clarify, they improved satisfaction scores without hurting efficiency.
The most important thing to remember is context. Metrics are signals, not goals in themselves. Chasing lower handle times might make agents rush, which reduces CSAT.
Focusing only on FCR might push agents to close tickets prematurely.
But when you look at these numbers together, FCR, CSAT, and retention, you get the full picture: are you solving problems quickly, clearly, and in a way that makes customers want to return?
All the best customer service tips we've covered, empathy, clear communication, smart use of technology, feedback loops, and measuring what matters, become far easier when you have the right tools in place.
This is where the Text App makes a real difference.
The practical takeaway: Businesses that adopt tools like the Text App not only keep up with customer expectations but exceed them.
When companies blend human empathy with AI-powered efficiency, they deliver faster resolutions, create happier customers, and build the kind of loyalty that drives long-term growth.
The most successful companies are customer-centric. That means designing every part of the business with customers in mind, from product development to post-purchase support.
Leaders set the tone by prioritizing service, and agents carry it out in every conversation. Systems reinforce it: flexible policies, shared customer data, and service integrated into the entire journey. Training builds it further, teaching agents not only systems but also empathy, communication, and problem-solving, the very customer service tips that turn ordinary interactions into memorable experiences.
That's where the Text App helps. When you combine live chat, email, ticketing, AI, and analytics in one platform, you get the foundation to live out a customer-first strategy every day. We empower customer service teams to resolve issues quickly, personalize communication, and learn from feedback, all while scaling service efficiently.
At the end of the day, customers won't just remember what you solved; they'll remember how you made them feel.
Get started with Text App today to unify chat, email, ticketing, AI, and analytics in one workspace, and turn every support interaction into loyalty and revenue.
Solve issues fully on the first contact, set clear expectations, personalize interactions, offer self-service, and learn from feedback.
Give agents context (history, orders), authority to act, and playbooks for common scenarios. Close the loop with clear confirmation of the fix.
Acknowledge chats within seconds and resolve quickly; for email, aim for same-day replies. Speed matters, but clarity and accuracy matter more.
No. Use AI for instant answers, routing, and off-hours coverage. Keep humans for complex, emotional, or high-value cases, and ensure seamless handoffs.