A starter guide for customer insights analysis

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A starter guide for customer insights analysis
Viable Team
Viable Team
February 19, 2021

If you’re just getting started in building a voice of the customer program, this article on how to gather customer insights is for you. Already have an initiative in place? The following tips might be a useful refresher.

What do customers love—and hate—about your products? Where are they most likely to give up during the ordering process? How does the product they receive compare with the one they imagine when they order from you?

No matter what business you’re in, you likely ask these questions every day. You probably already have the answers in your customer feedback data.

Customer feedback can confirm what you think you know about your customers—and deliver insights that you never could have predicted. You’ll need to consider order data, phone and online interactions, web traffic, customer surveys, and other data sources.

For instance, when Apple used data to find out which of its new iPhone features customers liked and used the most, they found a surprising winner: the Do Not Disturb feature. The ability to turn all the phone’s notifications off for peace and quiet was more popular than high-profile tech innovations like the iPhone camera or the Siri voice assistant. Are similar insights hiding in your data? Probably. Only a rigorous customer insight program can unearth them.

Ready to get started?


What are customer insights?

A customer insight is the result of a data-driven process for finding out how your customers think, feel, and react to your products—and using this information to drive growth.

It’s different from market research, which gathers knowledge and statistical information about customers or markets. Market research can tell you who your customers are, where they live, and how much money they have to spend, but it can’t help you motivate them to buy your products.

Customer insights tell you what your customers want you to do to win more business from them. When integrated into your sales and customer service efforts, it can be a powerful component of growth.


Tools that run your business can be customer insights tools

To gain insight into how your customers feel about your products, start by analyzing data, including:

Orders. What are people buying? When do they buy? What items do they buy together? What does adding a new product do to existing sales? When do people drop out of the order process if they do? How do sales, discounts, and other promotions affect sales? All this data is embedded in your organization’s order flow—and quantitative analytics can reveal patterns for growing revenue.

Web traffic. Web data can tell you what customers are interested in even if they don’t complete a purchase. It will help you pinpoint where customers come from—whether search engines, email marketing, third party sites, or other sources. It can tell you what they look at and for how long, and where they are likely to go once they’ve viewed your products.

Customer support tickets. In addition to facilitating better customer service, customer support tickets are qualitative data you can analyze for deeper insights. You can learn a lot about your customers by looking for trends in chat interactions, email customer service responses, and social media conversations.

Surveys. Companies frequently use different types of surveys to further understand their customers. Net promoter score surveys measure customer loyalty and likelihood of recommending your brand to friends and acquaintances. Customer satisfaction surveys track how your customers feel about your products, your brand, and your customer service capabilities. Surveys can be customized to your unique business needs. A good data partner can help you ask the right questions to unlock hidden preferences and attitudes and develop products and marketing messages that address customers’ real concerns.

Reviews. Customer reviews give a glimpse into how customers experienced your product or service, sometimes in great detail. Beyond providing a ratings score component, reviews are a rich source of insights because they’re unprompted and often highly descriptive opinions from customers.


Taming the data avalanche

But that’s so much data, we can hear you saying. It comes to us in all different formats, from text to numerical stats to voice recordings. How can we make sense of it?

It’s important to look at all data holistically, so that you can see patterns that emerge across multiple data sources and types. But to do that, you’ll need to translate unstructured information like customer reviews and customer service interactions into quantifiable data that can be compared and analyzed. By making all of your data as quantified as possible, you can identify broad, consistent trends, rather than simply relying on anecdotal evidence.

It helps to automate these processes, so that they happen continuously in the background, ready to provide information when you need it. That can empower your voice of the customer teams to dig into the factors that motivate and inspire customers, without having to pore over endless chat screens and customer reviews. And it provides data-driven evidence specifically for product teams to design, refine, and add new features that delight your customers.


How do you know it’s working?

Like any business initiative, a customer insights program should deliver measurable results that can be monitored over time.

For customer service teams, you should be able to see improvements in:

  • Net promoter score (NPS)
  • Customer satisfaction metrics (CSAT)
  • Response times—how long it takes for support agents to respond to customer inquiries
  • Issue resolution—how quickly and accurately support agents resolve customer issues
  • Volume of issues across channels—from fewer support tickets to fewer negative online reviews

For product management teams using customer insights, key results usually include:

  • Product adoption and product usage metrics—could be measured as monthly or daily active users (MAU or DAU)
  • Increased customer retention rates (or, conversely, decreased churn rates)
  • User engagement—includes metrics such as length of time spent using a product or number of sessions within a product’s specific feature
  • Time to value—how quickly a customer is able to get value from using your product
  • Customer lifetime value (LTV)—how long a customer remains a customer
  • Stronger product market fit

For marketing, growth, and sales teams, successful initiatives based on customer insights can be seen in:

  • Better conversion across customer touchpoints and marketing channels
  • Marketing campaign performance, website traffic, word of mouth referrals, and social media indicators
  • Improved brand affinity, brand loyalty, and customer sentiment
  • Higher return on advertising spend (ROAS)
  • Higher quality prospective customer leads
  • Increased customer value—often measured in higher spend per customer or upsell opportunities
  • Faster deal closing times

All of these metrics should be built into your program and should represent your company’s unique goals for customer insight initiatives.

Build skills for using customer data to inform decisions

Complement your customer insights action plan with:

Five ways to develop a voice of the customer mindset
4 ways your product managers can use qualitative data
A 3-part framework for tackling customer complaints

A starter guide for customer insights analysis

Boost customer satisfaction with precise insights

Surface the most urgent topics by telling our AI what matters to you.

See it in action
Viable Team
Viable Team
February 19, 2021
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Get your first report free

Book a demo to get immediate insights from your customer feedback.

A starter guide for customer insights analysis

viable logo

Get your first report free

Stop manually tagging your customer feedback. Let AI do it for you.

Get Started Now
Viable Team
Viable Team, February 19, 2021

If you’re just getting started in building a voice of the customer program, this article on how to gather customer insights is for you. Already have an initiative in place? The following tips might be a useful refresher.

What do customers love—and hate—about your products? Where are they most likely to give up during the ordering process? How does the product they receive compare with the one they imagine when they order from you?

No matter what business you’re in, you likely ask these questions every day. You probably already have the answers in your customer feedback data.

Customer feedback can confirm what you think you know about your customers—and deliver insights that you never could have predicted. You’ll need to consider order data, phone and online interactions, web traffic, customer surveys, and other data sources.

For instance, when Apple used data to find out which of its new iPhone features customers liked and used the most, they found a surprising winner: the Do Not Disturb feature. The ability to turn all the phone’s notifications off for peace and quiet was more popular than high-profile tech innovations like the iPhone camera or the Siri voice assistant. Are similar insights hiding in your data? Probably. Only a rigorous customer insight program can unearth them.

Ready to get started?


What are customer insights?

A customer insight is the result of a data-driven process for finding out how your customers think, feel, and react to your products—and using this information to drive growth.

It’s different from market research, which gathers knowledge and statistical information about customers or markets. Market research can tell you who your customers are, where they live, and how much money they have to spend, but it can’t help you motivate them to buy your products.

Customer insights tell you what your customers want you to do to win more business from them. When integrated into your sales and customer service efforts, it can be a powerful component of growth.


Tools that run your business can be customer insights tools

To gain insight into how your customers feel about your products, start by analyzing data, including:

Orders. What are people buying? When do they buy? What items do they buy together? What does adding a new product do to existing sales? When do people drop out of the order process if they do? How do sales, discounts, and other promotions affect sales? All this data is embedded in your organization’s order flow—and quantitative analytics can reveal patterns for growing revenue.

Web traffic. Web data can tell you what customers are interested in even if they don’t complete a purchase. It will help you pinpoint where customers come from—whether search engines, email marketing, third party sites, or other sources. It can tell you what they look at and for how long, and where they are likely to go once they’ve viewed your products.

Customer support tickets. In addition to facilitating better customer service, customer support tickets are qualitative data you can analyze for deeper insights. You can learn a lot about your customers by looking for trends in chat interactions, email customer service responses, and social media conversations.

Surveys. Companies frequently use different types of surveys to further understand their customers. Net promoter score surveys measure customer loyalty and likelihood of recommending your brand to friends and acquaintances. Customer satisfaction surveys track how your customers feel about your products, your brand, and your customer service capabilities. Surveys can be customized to your unique business needs. A good data partner can help you ask the right questions to unlock hidden preferences and attitudes and develop products and marketing messages that address customers’ real concerns.

Reviews. Customer reviews give a glimpse into how customers experienced your product or service, sometimes in great detail. Beyond providing a ratings score component, reviews are a rich source of insights because they’re unprompted and often highly descriptive opinions from customers.


Taming the data avalanche

But that’s so much data, we can hear you saying. It comes to us in all different formats, from text to numerical stats to voice recordings. How can we make sense of it?

It’s important to look at all data holistically, so that you can see patterns that emerge across multiple data sources and types. But to do that, you’ll need to translate unstructured information like customer reviews and customer service interactions into quantifiable data that can be compared and analyzed. By making all of your data as quantified as possible, you can identify broad, consistent trends, rather than simply relying on anecdotal evidence.

It helps to automate these processes, so that they happen continuously in the background, ready to provide information when you need it. That can empower your voice of the customer teams to dig into the factors that motivate and inspire customers, without having to pore over endless chat screens and customer reviews. And it provides data-driven evidence specifically for product teams to design, refine, and add new features that delight your customers.


How do you know it’s working?

Like any business initiative, a customer insights program should deliver measurable results that can be monitored over time.

For customer service teams, you should be able to see improvements in:

  • Net promoter score (NPS)
  • Customer satisfaction metrics (CSAT)
  • Response times—how long it takes for support agents to respond to customer inquiries
  • Issue resolution—how quickly and accurately support agents resolve customer issues
  • Volume of issues across channels—from fewer support tickets to fewer negative online reviews

For product management teams using customer insights, key results usually include:

  • Product adoption and product usage metrics—could be measured as monthly or daily active users (MAU or DAU)
  • Increased customer retention rates (or, conversely, decreased churn rates)
  • User engagement—includes metrics such as length of time spent using a product or number of sessions within a product’s specific feature
  • Time to value—how quickly a customer is able to get value from using your product
  • Customer lifetime value (LTV)—how long a customer remains a customer
  • Stronger product market fit

For marketing, growth, and sales teams, successful initiatives based on customer insights can be seen in:

  • Better conversion across customer touchpoints and marketing channels
  • Marketing campaign performance, website traffic, word of mouth referrals, and social media indicators
  • Improved brand affinity, brand loyalty, and customer sentiment
  • Higher return on advertising spend (ROAS)
  • Higher quality prospective customer leads
  • Increased customer value—often measured in higher spend per customer or upsell opportunities
  • Faster deal closing times

All of these metrics should be built into your program and should represent your company’s unique goals for customer insight initiatives.

Build skills for using customer data to inform decisions

Complement your customer insights action plan with:

Five ways to develop a voice of the customer mindset
4 ways your product managers can use qualitative data
A 3-part framework for tackling customer complaints

Boost customer satisfaction with precise insights

Surface the most urgent topics by telling our AI what matters to you.

See it in action
Viable Team
Viable Team, February 19, 2021