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Measuring your average first response time shows how quickly your business responds to new customer enquiries. This metric helps improve customer satisfaction and sales conversion by identifying delays in your follow-up process. To calculate it, total the response times for each first enquiry and divide by the number of enquiries.
Why this comes up / what goes wrong
Many small UK businesses struggle with slow or inconsistent replies to leads because they track responses manually or across multiple channels such as WhatsApp, email, phone, and spreadsheets. This fragmentation often leads to missed or delayed responses, causing lost sales opportunities. Without a clear measure of response speed, it’s difficult to identify where delays happen or improve team performance. Calculating average first response time gives you insight into how fast your business replies and highlights areas to improve.
Step-by-step
- Gather enquiry and response timestamps: Collect the exact time each new customer enquiry was received and when the first reply was sent. Include enquiries from all channels you use—emails, WhatsApp messages, phone calls, and web forms.
- Calculate individual response times: For each enquiry, subtract the enquiry received time from the first response time. Express this difference in minutes.
- Verify data consistency: Make sure all times are recorded in the same time zone and format (for example, 24-hour clock, DD/MM/YYYY). Remove any enquiries without a recorded first response to avoid skewing the average.
- Add all response times together: Sum the minutes taken for all individual first responses.
- Count the total number of enquiries included: This is the number of enquiries you have response times for.
- Divide to find the average: Divide the total response time by the number of enquiries.
- Convert the average to hours and minutes: This makes the average easier to understand and communicate.
- Track this regularly: Calculate average first response time weekly or monthly to spot trends and improvements.
Using a CRM with features like a built-in CRM dialer or WhatsApp and SMS CRM can automate the capture and timestamping of enquiries and responses, reducing manual errors and saving time. See built-in CRM dialer and WhatsApp and SMS CRM for tools that support this.
Example (fictional figures)
An accountancy practice in Birmingham received 5 new enquiries on 01/05/2024. The enquiry and first response times (24-hour clock) were:
- Enquiry 1: 09:15, Response 1: 10:00
- Enquiry 2: 11:30, Response 2: 12:15
- Enquiry 3: 14:00, Response 3: 15:30
- Enquiry 4: 16:45, Response 4: 17:05
- Enquiry 5: 08:50, Response 5: 09:10
Step 1: Calculate individual response times in minutes:
- 10:00 - 09:15 = 45 minutes
- 12:15 - 11:30 = 45 minutes
- 15:30 - 14:00 = 90 minutes
- 17:05 - 16:45 = 20 minutes
- 09:10 - 08:50 = 20 minutes
Step 2: Sum all response times:
45 + 45 + 90 + 20 + 20 = 220 minutes
Step 3: Count enquiries:
5 enquiries
Step 4: Calculate average response time:
220 minutes ÷ 5 = 44 minutes
Step 5: Convert average to hours and minutes:
44 minutes = 0 hours and 44 minutes
The average first response time for this practice on 01/05/2024 was 44 minutes.
Common mistakes
- Mixing time formats or time zones: Always use consistent time formats and check for daylight saving changes to avoid errors.
- Including enquiries without responses: Exclude enquiries with no recorded first response to prevent skewing the average.
- Manual data collection errors: Tracking response times manually across spreadsheets or multiple platforms increases mistakes; consider using a CRM tool.
- Ignoring outliers: Extremely long or short response times can distort the average. Review these separately to understand unusual delays.
- Calculating over inconsistent periods: Define a clear period (weekly, monthly) for your calculation and stick to it for meaningful comparisons.
- Tracking only one communication channel: Customers may contact you via WhatsApp, email, phone, or web forms. Include all channels for an accurate average. Tools like HelloGrowthCRM for the United Kingdom can help unify this data.
Frequently asked questions
What is a good average first response time for UK small businesses? A good average first response time varies by industry, but generally under one hour is considered responsive for many UK small businesses. Faster responses tend to improve customer satisfaction and increase sales conversion rates.
How do I handle enquiries received outside business hours? You can exclude or separately track enquiries received outside your defined business hours to avoid inflating your average response time. Alternatively, note if your first response was on the next business day.
Can I calculate average first response time manually without software? Yes, you can use spreadsheets to record enquiry and response times and then calculate averages using the steps above. However, manual tracking can be time-consuming and prone to errors compared to using CRM tools.
Why should I include all communication channels in the calculation? Customers contact you via WhatsApp, email, phone, and web forms. Including all channels gives a complete and accurate picture of your responsiveness. CRM solutions like WhatsApp and SMS CRM help centralise these communications.
How often should I calculate average first response time? Calculate it regularly—weekly or monthly—to monitor trends, assess improvements, and adjust your sales follow-up processes accordingly.
Key takeaways
- Average first response time is total response time divided by the number of enquiries.
- Use consistent time formats and exclude enquiries without responses.
- Include all communication channels for an accurate measure.
- Automate data capture where possible to reduce errors and save time.
- Calculate regularly to track improvements and spot delays.
- Review outliers separately to understand unusual response times.
Start improving your lead follow-up today. Start on the Free Forever plan (200 leads, no credit card) to organise your sales and response tracking.
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The HelloGrowthCRM team publishes guides on CRM strategy, AI sales tools, and revenue operations for small business sales teams.