When it comes to a business’s success, the duration a customer is left waiting for a response can make all the difference.
If a customer seeks assistance or has an inquiry, lengthy response times can swiftly affect your business’s profitability. A report from The 2022 Sprout Social Index™ reveals that 36% of consumers will share a poor support experience with their network, 31% may abandon their purchase, and 30% are likely to turn to a competing brand.
For support teams, the time taken to give a first response (FRT), also termed first reply time, is often a pivotal moment for each customer query. This metric directly correlates the quality of customer care provided to the likelihood of retaining that customer.
This article will investigate the significance of FRT, how to assess it, and ways to enhance it.
What does first response time mean?
First response time refers to how long it takes for a business to reply to a customer inquiry or issue from the time it is received.
Enhancing FRT is crucial as it influences the overall customer experience. The Index indicates that 76% of customers recognize and value when a company prioritizes customer support. A rapid first reply to an incoming message can elevate customer contentment, whereas a sluggish response can result in irritation and dissatisfaction with your brand.
How can FRT be measured?
Calculating the first response time requires two main data points for the customer service team:
- The duration taken to acknowledge and respond to a customer request over a defined period
- The total number of responses issued during that timeframe
For instance, if an online apparel retailer processes 120 support cases in one week, and the cumulative first response times equal 15,000 seconds, the store can derive its FRT using this formula:
Sum of First Response Times / Total Number of Cases = Average First Response Time
Thus, we arrive at: 15000 / 120 = 125 seconds as the average first response time per case.
Nonetheless, this calculation might not reflect the true FRT of the brand accurately. It should also consider:
- Prefer medians over averages. Median first response times offer a more reliable metric for FRT than averages, as they are less susceptible to distortion. For example, suppose the store’s dataset includes four FRTs of three minutes and only one of 30 seconds. An average first response time might suggest two minutes and thirty seconds, but using a median would indicate three minutes, which more accurately reflects the responsiveness of the customer service team.
- Standard business hours. The first response time should be evaluated based on regular working hours, excluding periods when the customer service team is unavailable. If, for instance, the team operates from 8 a.m. to 7 p.m. and a customer inquiry comes in at 10 p.m., but it only receives a reply at 8:05 a.m. the next day, the FRT for that request is recorded as five minutes, not 10 hours and five minutes.
- Service Level Agreements (SLAs). Should the team have established SLAs, this calculation will also account for whether the response time objectives and targets set for the team are being met.
These variations imply that FRTs will vary according to each company’s unique circumstances, aspirations, and operational hours.
How can first response time be improved?
Monitor your existing FRT
Before improving FRT, it’s vital to measure it to assess your team’s performance regarding response times.
Tracking first reply times allows you to identify trends and obstacles within your response procedures while also assessing your team’s performance against established benchmarks. Depending on your customer service software, this monitoring might already occur automatically.
For example, Sprout’s Inbox Activity Report uses a widget to track Average Time to Action. It monitors how long it takes your team to provide a first response over a defined period while considering factors like operating hours. It subsequently calculates an average time to action for your team alongside further breakdowns of specific time frames.
Gather similar reports for every channel you utilize to handle customer inquiries.
Understand the expected benchmarks for FRT
Being aware of industry benchmarks for FRT aids in setting attainable targets for your team while ensuring customer satisfaction.
Our Index data indicates that nearly 70% of consumers anticipate a brand to respond within 24 hours, with 76% of respondents emphasizing how much they appreciate the speed with which a brand can cater to their demands.
However, research from Klaus shows that only 20% of customer service teams actively track first response time.
To tackle this aspect effectively, identify the channels your customer service team uses to respond to queries and gather FRT benchmarks relevant to your sector.
Educate your customer care teams to prioritize FRT
The Index revealed that just 30% of brands have established a customer care process and tools to engage with customers on social media actively.
This leaves brands vulnerable to adverse feedback and sentiment if customers opt for social media over email or chatbots for complaints. An effective social media response process enables a brand to cover all bases promptly.
However, merely having a social media response strategy is insufficient. It’s imperative to train your customer service team to prioritize FRT across all channels and to respond to customers within their anticipated reply timeframe. Your support team should be adept at managing complicated inquiries, understanding expectations regarding response formats, and knowing how to escalate cases when necessary.
Align your team with FRT expectations. Utilize our customer care training material to inform them about the significance of quick replies and furnish them with the necessary strategies to meet your objectives.
Establish your FRT improvement goals
Define specific objectives for your customer service team to reach the desired first response time by creating service level agreements (SLAs).
These agreements outline the expected services and responsibilities of your support team, linking key performance indicators to their efforts. To formulate FRT improvement goals, associate SLAs or deadlines with initial inquiry replies, holding the support team accountable for their response times.
A baseline FRT is determined based on past data and industry benchmarks, which is subsequently integrated into your SLA along with a target goal and deadline.
For instance, if an SLA stipulates a goal of responding to customer inquiries in four hours or less, the support team reaches 100% SLA compliance by adhering to that timeframe for all incoming inquiries.
Also, consider whether establishing separate SLAs for different customer support channels is practical. For example, a baseline FRT goal for live chat could be two minutes or less, yet it may be 30 minutes or less for a DM on Instagram. Be realistic about the infrastructure available to support your team in responding promptly on each platform.
Smart use of AI
The findings of The 2023 State of Social Media report indicate that 93% of leaders believe that enhanced investment in AI and machine learning (ML) will be vital in scaling customer care functions. AI can simplify customer inquiries and aid customer support teams in efficiently managing cases and improving first response times.
Imagine a customer support team striving to enhance its first response time while simultaneously managing communications in different languages based on individual customer interactions.
Utilizing Sprout’s Enhance by AI enables personalized customer exchanges, ensuring the right tone is maintained with every reply. After drafting an initial reply, Enhance by AI Assist transforms the message into four stylistic variations to select from in the Smart Inbox.
Create a comprehensive knowledge base for quick access
A thorough knowledge base allows your team to swiftly locate any necessary information to address customer concerns effectively. This data not only improves response quality but can also be employed to train AI chatbots for handling customer queries.
A major advantage of building a knowledge base is that it also empowers customers to resolve issues independently, thereby saving your support team considerable time and effort. Even if a case ends up in your support team’s queue, a well-structured knowledge base can help them send detailed articles to customers to aid in resolving their issues.
Ultimately, when agents encounter fewer requests, they can expedite responses for the cases they do receive, subsequently enhancing the overall first response time for the business.
FRT: A crucial component of customer service
First response time is an essential KPI for customer satisfaction, which can significantly affect customer loyalty to your brand.
By monitoring FRT, training your team, and setting improvement objectives, customer service teams can markedly boost FRT to keep customers satisfied. Enhancements like adopting AI and establishing knowledge bases can further connect customers to answers for simple inquiries. This, in turn, allows your customer service teams to focus on more complex challenges.
However, first response time is just one of several essential metrics that brands should leverage to deliver outstanding customer experiences. Customer service teams must operate in harmony across every touchpoint, from email to social media, to ensure customers enjoy a seamless experience.
To further understand customer expectations, consider exploring the role of social media in customer service and how maintaining quality support across social platforms can significantly boost brand loyalty.
The article First response time: How to win over customers with quick replies was originally published on Sprout Social.
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