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Did you know that 17 percent of your customers could walk away from your business after just one bad customer experience? That’s a pretty significant number, especially when you’re trying to grow your business and increase your return on investment (ROI). There’s good news, though: You don’t need to lose these buyers if you prioritize … Continue reading 5 Ways to Reinvent Customer Experiences That Will Increase Your ROI
Did you know that 17 percent of your customers could walk away from your business after just one bad customer experience? That’s a pretty significant number, especially when you’re trying to grow your business and increase your return on investment (ROI).
There’s good news, though: You don’t need to lose these buyers if you prioritize the customer experience. Below, I’ll explain what customer experiences are, why they matter, and how you can optimize your customer experience online.
Customer experience (CX) is how customers perceive any interactions they have with your company. It’s the overall impression of your company that customers build as they move through each stage of the buyer’s journey.
Think of it this way. Each time a customer interacts with your brand, even if it’s only a brief interaction, they’re building an impression of what it’s like to do business with you. This impression determines, for example, whether they’ll shop with you again or recommend you to friends.
In other words, positive (or negative) customer experiences can directly impact your bottom line. Got an unhappy customer? They might abandon their cart or never shop with you again. Got a happy customer? They might recommend your services to a family member.
Actions that can shape the customer experience include:
How important is CX, though, in real terms? Very. Let me show you why.
For one thing, it’s hard to grow your business without customers. They’re central to everything you do. However, if you’re still not convinced CX matters, here are a few more specific reasons why the online customer experience is so important:
The bottom line? Happy customers are more likely to spend more, stay loyal, and recommend your brand to others. If you’re keen to boost your ROI, it pays to work on customer experience optimization.
Customer experience optimization can be challenging to get right, especially if you approach it all from the wrong angle. To help you avoid making time-consuming (and potentially costly) mistakes, here’s what businesses often get wrong about CX.
It sounds obvious, but the biggest mistake businesses make is ignoring CX completely. Why? Because customers care about their experience. In fact, four out of five people would abandon a brand after fewer than three negative experiences
Ignoring CX could damage your customer retention and even limit your ability to attract new business.
Even if you do care about customer experience optimization, you’ll never know how you’re doing without tracking your performance. I’m going to touch on the best metrics to track later, but here are some key questions that performance data can help answer.
By tracking customer experience metrics, you can optimize CX at every stage of the buyer’s journey.
It’s not uncommon for businesses to treat customers as a whole unit rather than an online audience made up of multiple individuals. The issue? Well, personal communication matters: Impersonal communication won’t drive growth.
If you treat your customers as numbers, they could look elsewhere for the personalized CX they want.
Sure, it’s important to build a user-friendly website and make it easy for buyers to shop with you, but the customer experience starts with your staff. What’s a common mistake companies make, though?
Failing to train their employees in the art of customer service delivery.
Customers come to you looking for a shopping experience. If your staff don’t have the knowledge, experience, or authority to resolve customer issues, then you’ll frustrate your shoppers and they could turn to your competitors instead.
Now you know what not to do, there’s still one question remaining: How do you actually improve CX to boost your revenue? Let’s take a look.
While there are multiple ways you might drive revenue by optimizing customer experiences, here are my five favorite strategies.
Before you can perform customer service optimization, you need to know what’s working right now by tracking key performance indicators (KPIs.)
You might already be familiar with tracking KPIs as part of your wider marketing strategy. However, in terms of measuring customer experiences, here are some metrics to track:
Here are some tips to measure metrics:
Not sure where to start with customer surveys? Email them to customers or do what Tim Hortons does and invite people to complete satisfaction surveys online:
It’s important to note that customer service differs from the customer experience. CX means every interaction a customer has with your brand, while customer service refers to interactions between a customer and employees when there’s a problem.
Unsurprisingly, then, boosting your customer service delivery can have a positive effect on your overall CX. How do you improve customer service, though? Here are some ideas.
Here’s an example of a chatbot from Dropbox. Users can follow the step-by-step instructions or, if the chatbot can’t answer their questions, they can speak to a service representative or try other resources:
Improve customer service by offering various quick, simple, and effective ways to reach your team.
Zendesk’s research shows that 65 percent of customers are looking for quick, easy transactions. What does this mean?
Well, if you’re an e-commerce store, this means customers want a straightforward checkout experience. Let me give you some tips for speeding up the process.
Are you a service provider? Then you want to ensure your sales process is seamless.
Monday.com, for example, has a very clear pricing structure.
What’s more, it only takes a few steps to get started with a free account so prospects can experience the software before committing to a paid package:
Impress your customers and boost CX by creating a seamless, user-friendly sales experience.
Earlier I touched on how personalization goes a long way to help boost customer acquisition and retention. How do you personalize customer interactions, though? Here’s what you can do:
Don’t forget the power of email, either. Retarget lapsed customers with personalized incentives, and send loyal customers recommendations based on their shopping history.
Who do your customers interact with? Your employees. If customers aren’t happy with your employees, there’s a risk they’ll abandon your brand completely.
What’s the answer? Empower your employees. Give them the tools they need to resolve queries, by:
Gymshark, an international fitness brand, excels at employee engagement.
How? Because employees have pretty significant authority to resolve disputes, and they’re very engaged with customers online.
For one thing, they have a dedicated Gymshark Help social media account to answer queries, proactively engage customers, and improve the customer experience.
Their employees are entrusted to offer real solutions, which make customers feel valued at every stage of the buyer’s journey—even after the sale.
Does it pay to give employees freedom over CX delivery? Absolutely: Operating in over 180 countries and still growing, Gymshark knows how delivering great customer experiences can boost ROI.
We’ve covered why customer experiences matter and how you might improve your CX, but let me give you some key takeaways.
Learn who your customers are and how they interact with your business. Once you understand the buyer’s journey, you can equip your employees to meet their needs and exceed their expectations.
Promoting a customer-focused culture, ensuring you’re easy to do business with, measuring customer satisfaction, and delivering on your promises all contribute to the customer experiences that individuals have with your business.
Get honest customer feedback and track CX metrics at each stage of the buyer’s journey using tools to measure your churn rate, customer effort score, retention rate, and net promoter score.
Great customer experience starts with your staff. Give them the knowledge they need to manage your buyers, and you’re on track to impress your customers.
Without customers, you won’t boost your ROI and your company won’t get off the ground, so you need to prioritize customer experiences.
To perform customer experience optimization successfully, help your staff nurture individuals along the buyer’s journey. Monitor key customer experience metrics along the way, and don’t be afraid to ask customers what you’re doing right—and where you’re falling behind.
Need extra help with the online customer experience? Check out my consulting services.
What do you think makes a great CX?
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Did you know that 17 percent of your customers could walk away from your business after just one bad customer experience? That’s a pretty significant number, especially when you’re trying to grow your business and increase your return on investment (ROI).
There’s good news, though: You don’t need to lose these buyers if you prioritize the customer experience. Below, I’ll explain what customer experiences are, why they matter, and how you can optimize your customer experience online.
Customer experience (CX) is how customers perceive any interactions they have with your company. It’s the overall impression of your company that customers build as they move through each stage of the buyer’s journey.
Think of it this way. Each time a customer interacts with your brand, even if it’s only a brief interaction, they’re building an impression of what it’s like to do business with you. This impression determines, for example, whether they’ll shop with you again or recommend you to friends.
In other words, positive (or negative) customer experiences can directly impact your bottom line. Got an unhappy customer? They might abandon their cart or never shop with you again. Got a happy customer? They might recommend your services to a family member.
Actions that can shape the customer experience include:
How important is CX, though, in real terms? Very. Let me show you why.
For one thing, it’s hard to grow your business without customers. They’re central to everything you do. However, if you’re still not convinced CX matters, here are a few more specific reasons why the online customer experience is so important:
The bottom line? Happy customers are more likely to spend more, stay loyal, and recommend your brand to others. If you’re keen to boost your ROI, it pays to work on customer experience optimization.
Customer experience optimization can be challenging to get right, especially if you approach it all from the wrong angle. To help you avoid making time-consuming (and potentially costly) mistakes, here’s what businesses often get wrong about CX.
It sounds obvious, but the biggest mistake businesses make is ignoring CX completely. Why? Because customers care about their experience. In fact, four out of five people would abandon a brand after fewer than three negative experiences
Ignoring CX could damage your customer retention and even limit your ability to attract new business.
Even if you do care about customer experience optimization, you’ll never know how you’re doing without tracking your performance. I’m going to touch on the best metrics to track later, but here are some key questions that performance data can help answer.
By tracking customer experience metrics, you can optimize CX at every stage of the buyer’s journey.
It’s not uncommon for businesses to treat customers as a whole unit rather than an online audience made up of multiple individuals. The issue? Well, personal communication matters: Impersonal communication won’t drive growth.
If you treat your customers as numbers, they could look elsewhere for the personalized CX they want.
Sure, it’s important to build a user-friendly website and make it easy for buyers to shop with you, but the customer experience starts with your staff. What’s a common mistake companies make, though?
Failing to train their employees in the art of customer service delivery.
Customers come to you looking for a shopping experience. If your staff don’t have the knowledge, experience, or authority to resolve customer issues, then you’ll frustrate your shoppers and they could turn to your competitors instead.
Now you know what not to do, there’s still one question remaining: How do you actually improve CX to boost your revenue? Let’s take a look.
While there are multiple ways you might drive revenue by optimizing customer experiences, here are my five favorite strategies.
Before you can perform customer service optimization, you need to know what’s working right now by tracking key performance indicators (KPIs.)
You might already be familiar with tracking KPIs as part of your wider marketing strategy. However, in terms of measuring customer experiences, here are some metrics to track:
Here are some tips to measure metrics:
Not sure where to start with customer surveys? Email them to customers or do what Tim Hortons does and invite people to complete satisfaction surveys online:
It’s important to note that customer service differs from the customer experience. CX means every interaction a customer has with your brand, while customer service refers to interactions between a customer and employees when there’s a problem.
Unsurprisingly, then, boosting your customer service delivery can have a positive effect on your overall CX. How do you improve customer service, though? Here are some ideas.
Here’s an example of a chatbot from Dropbox. Users can follow the step-by-step instructions or, if the chatbot can’t answer their questions, they can speak to a service representative or try other resources:
Improve customer service by offering various quick, simple, and effective ways to reach your team.
Zendesk’s research shows that 65 percent of customers are looking for quick, easy transactions. What does this mean?
Well, if you’re an e-commerce store, this means customers want a straightforward checkout experience. Let me give you some tips for speeding up the process.
Are you a service provider? Then you want to ensure your sales process is seamless.
Monday.com, for example, has a very clear pricing structure.
What’s more, it only takes a few steps to get started with a free account so prospects can experience the software before committing to a paid package:
Impress your customers and boost CX by creating a seamless, user-friendly sales experience.
Earlier I touched on how personalization goes a long way to help boost customer acquisition and retention. How do you personalize customer interactions, though? Here’s what you can do:
Don’t forget the power of email, either. Retarget lapsed customers with personalized incentives, and send loyal customers recommendations based on their shopping history.
Who do your customers interact with? Your employees. If customers aren’t happy with your employees, there’s a risk they’ll abandon your brand completely.
What’s the answer? Empower your employees. Give them the tools they need to resolve queries, by:
Gymshark, an international fitness brand, excels at employee engagement.
How? Because employees have pretty significant authority to resolve disputes, and they’re very engaged with customers online.
For one thing, they have a dedicated Gymshark Help social media account to answer queries, proactively engage customers, and improve the customer experience.
Their employees are entrusted to offer real solutions, which make customers feel valued at every stage of the buyer’s journey—even after the sale.
Does it pay to give employees freedom over CX delivery? Absolutely: Operating in over 180 countries and still growing, Gymshark knows how delivering great customer experiences can boost ROI.
We’ve covered why customer experiences matter and how you might improve your CX, but let me give you some key takeaways.
Learn who your customers are and how they interact with your business. Once you understand the buyer’s journey, you can equip your employees to meet their needs and exceed their expectations.
Promoting a customer-focused culture, ensuring you’re easy to do business with, measuring customer satisfaction, and delivering on your promises all contribute to the customer experiences that individuals have with your business.
Get honest customer feedback and track CX metrics at each stage of the buyer’s journey using tools to measure your churn rate, customer effort score, retention rate, and net promoter score.
Great customer experience starts with your staff. Give them the knowledge they need to manage your buyers, and you’re on track to impress your customers.
Without customers, you won’t boost your ROI and your company won’t get off the ground, so you need to prioritize customer experiences.
To perform customer experience optimization successfully, help your staff nurture individuals along the buyer’s journey. Monitor key customer experience metrics along the way, and don’t be afraid to ask customers what you’re doing right—and where you’re falling behind.
Need extra help with the online customer experience? Check out my consulting services.
What do you think makes a great CX?
Article URL: https://www.streak.com/careers/customer-success-specialist-remote
Comments URL: https://news.ycombinator.com/item?id=31960639
Points: 1
# Comments: 0
Your audience wants personalized marketing from your business.
In fact, they expect it. According to research, 71 percent of customers expect businesses to send them personalized marketing messages, and 76 percent are disappointed when they receive generic communications instead.
The challenge? If you don’t know your audience, you can’t send them personalized content. You don’t know what matters to them, so you can’t reach them on the right level.
If this dilemma sounds familiar, don’t worry. I have a solution for you, and it’s called customer segmentation. Customer segmentation helps you understand your audience so you can target your marketing campaigns with greater precision. Let me show you how it works.
Customer segmentation means dividing customers into groups, or “segments,” based on traits they have in common such as age, buying habits, gender, and needs.
Businesses use customer segmentation models to better understand their prospects so they can target them with relevant personalized marketing campaigns including ads, emails, and social media posts.
Customer segmentation isn’t just about reaching a new audience more effectively, though. It’s also a way to reconnect with lapsed customers and encourage new purchases by sending them carefully targeted messages.
Remember, every customer is unique. They each have own buying behaviors and reasons for choosing you over your competitors. While it’s impossible to personalize your marketing to every individual, a customer segmentation strategy is the next best thing.
For one thing, it helps you improve your customer service. By understanding your customers’ needs and wants, you’re better placed to help solve their problems.
Does customer service matter? Absolutely. Research says one in five customers will abandon a brand after just one poor customer experience, so the more effort you invest in great service, the better.
Similarly, segmenting your audience helps build customer loyalty. How? Because customers are typically more loyal to brands offering personalized messaging—for 79 percent of consumers, the more personalization a company uses, the more loyal they are.
What do loyal and happy customers have in common? They’re more likely to shop with you. By personalizing the shopping experience through segmentation, you create more dedicated customers, so you increase conversions over time.
Not convinced? Well, studies show that over 60 percent of customers are likely to be repeat buyers after a personalized shopping experience, so the stats speak for themselves.
You can use various customer segmentation models, depending on your business needs and marketing goals. Here’s a look at seven of the most common models.
Demographic segmentation means dividing people into groups based on certain demographic factors, including age, income, marital status, and occupation.
Let’s say your audience is men and women aged between 30 and 65. You want to run a TikTok campaign to promote a new product.
If you only run a campaign on TikTok, you miss out on a huge chunk of your target audience. Perform some demographic segmentation, and you’ll know to target Facebook, too, since 73 percent of 50- to 64-year-olds use this platform.
Want to try it?
On the plus side, it’s easy to use this model, and it helps you adjust your tone to target different genders and ages.
The main downsides? You risk making false assumptions about a particular segment. You could also lose your brand voice by targeting such varied demographics.
Always use this customer segmentation model alongside other techniques. For example, it might be helpful to know a customer’s buying habits and values, or where they live.
With geographic segmentation, you categorize your audience based on where they work, live, and shop.
This type of customer segmentation analysis is fairly straightforward. The main disadvantage? Ironically, it’s simplicity. On its own, geographic segmentation doesn’t reveal much about your audience, but you can use it alongside other models on this list to build the fullest possible picture of your audience.
Here’s how to get started with geographical segmentation:
McDonald’s frequently uses geographic segmentation to target different audiences around the world. For example, here’s a burger found in McDonald’s India:
McDonald’s creates products to suit its diverse audience and tap into the flavors and products they may respond to based on geography.
This brings me to another advantage of geographic segmentation: exclusivity. Since the McDonald’s menu varies by location, each item feels exclusive, harder to acquire, and more valuable, which may increase conversions.
We each have unique personalities, but we share traits or characteristics. Psychographic segmentation means forming groups based on common traits such as hobbies, lifestyle choices, personality traits, cultural beliefs, and values.
Psychographic segmentation helps you understand a customer’s psyche so you can devise highly focused, relevant campaigns. However, the main challenge is gathering (and organizing) the relevant data.
Follow these steps to start using psychographic segmentation:
Patagonia, an outdoor clothing brand, knows its customers care about sustainable living. They’ve made sustainability a core part of their brand messaging:
If you ran a store like Patagonia, you could segment customers based on whether they prefer hiking or cycling and then send targeted campaigns to meet their needs while retaining this core brand message.
Technographic segmentation means categorizing people depending on the devices, hardware, and software they use. Why does this data matter? Well, according to statistics:
As a marketer, you should care about how people are accessing your content so you can optimize their user experience (UX) and target them effectively. Technographic segmentation can help.
There are a few ways to segment your audience using this method, but here’s how I suggest you start.
Armed with this data, you can create your campaigns.
Let’s say you run a tech store. Some customers use Norton 360 for PCs. Others use Avast Security for Mac.
You split your marketing campaign by software. You send one email to Norton subscribers offering a discount on their annual subscription. You send another email to Avast customers offering the same discount for Avast.
The result? Emails that speak to your audience’s specific tech needs, which increase your chance of making conversions.
You could take it further, too. Say, through analytics, you notice your Norton PC customers are looking at mobile antivirus solutions. You could send them a discount code like this one from PCWorld:
By anticipating what matters to your audience based on their tech preferences, you’re meeting their needs…and hopefully nurturing them through to checkout.
Is this a perfect customer segmentation model? No. One significant drawback is its limitations: Knowing a customer’s tech preferences is only one part of what shapes their buyer’s journey. However, it’s a marketing technique worth adding to your toolbox.
Want to know how your audience interacts with your business? Try behavioral segmentation.
Behavioral segmentation means grouping people together based on behavior patterns. These patterns reveal how consumers feel about your business so you can determine how to successfully reach them at every stage of the buyer’s journey.
As with other models, behavioral segmentation can be used at any point in your marketing strategy, whether it’s to revamp a landing page or send promotional emails.
First, identify the behavior patterns to track. There are many ways to approach this, but you might segment customers based on their:
For example, say you group customers based on engagement. What counts as an “active” and “lapsed” customer varies depending on your business, but here are three groups you might have:
Next, you can devise three separate marketing campaigns. You might send active customers a loyalty discount, and infrequent customers a separate discount to tempt them back.
Once your campaigns are up and running, track your analytics. If you’re not getting the results you want, adjust your campaigns and try again.
With over 221 million subscribers, Netflix knows how to use behavioral segmentation to satisfy customer demand.
Behavioral segmentation has a significant downside, though: There’s always the chance you get the algorithms wrong. That said, if you track results diligently and respond to your findings, you can offset this drawback.
Successful marketing often comes down to showing prospects how your goods or services meet their needs. That’s where needs-based segmentation comes in.
With needs-based segmentation, you’re grouping people based on what they need from your product. The benefits they’re looking for when they buy something. What pain points they have, and the problems they need solving.
The biggest challenge? Identifying what these needs are.
For example, say you’re a food brand. Two prospects follow you on social media. One cares about fresh chicken, and the other wants vegan food. You might sell meat and non-meat products, but the same ad campaign won’t appeal to both.
Driving down into groups’ needs and motivations helps you maximize your campaigns.
Let’s do a simple comparison. Heck sells gluten-free vegan and non-vegan meat. They know some customers love the gym and care about high-protein snacks, so they launched a campaign to sell their meat at local gyms:
They know other customers care less about fitness and more about a vegan lifestyle, so they frequently create social media posts around meat-free products:
Heck clearly spent time learning about its wider customer base and what drives them so it can effectively reach every segment while retaining a consistent brand voice.
Here’s another example. Beauty store Revolution lets customers shop by skin concern and by ingredient to directly target consumers’ needs:
Now that you understand how this customer segmentation model works, is it right for you?
Well, there are clear advantages. Needs-based segmentation helps you market with greater accuracy than, say, targeting groups by age or location. It’s comprehensive and effective, and it could help you build loyal customer relationships.
The main drawbacks? It’s challenging to identify the “right” needs to target, and if you don’t have accurate data, your campaigns may fail. What’s more, consumer needs evolve, so you’ll need to review your strategy regularly to maximize your campaign effectiveness.
Here’s the simplest approach.
Once you have enough data, use your findings to create segmented marketing campaigns. Track your campaigns and tweak them as needed.
The better you understand how much it costs to lose a certain client’s business, the better you can direct your marketing efforts. Value-based segmentation can help you by grouping customers together based on their value to your business.
Why group customers together this way? Well, there are two advantages.
Firstly, if you know which customers spend the most money on your products, then you know which customers you can’t afford to lose. You can direct resources into providing these customers with highly targeted campaigns and great customer service.
Secondly, you can identify your most loyal clients and how much it costs to retain their business. Once you know a customer’s relative value, you can decide if it’s worth retargeting these inactive customers with personalized messaging.
Is retention worth the effort, though? There’s evidence that it can be up to seven times more expensive to acquire rather than retain customers, so yes, retention matters.
Here’s how to segment your customers on a value basis.
On the plus side, value-based segmentation helps you quickly identify your most valuable customers in order to target them more effectively. However, if you’re a startup or young business, you may not have enough relevant data to use this customer model just yet.
Here’s an example of the basic value-based segmentation principles in action and how this method helps with retargeting and conversion.
Merkle, a marketing company, helped a global cruise company develop a value-based approach to their next marketing campaign.
The cruise company sent the same messages to every customer regardless of their lifetime value (LTV). To boost revenue, they wanted to segment customers based on their LTV to send tailored ads and emails.
The company broke down each customer’s total predicted economic value. Once they identified the highest-value and most loyal customers, they could better nurture them through the sales funnel with specific, smaller campaigns.
The results? Five percent of lapsed but loyal customers returned, and they shortened the purchase cycle by 24 percent. All it took was some focused, personalized messaging based on a customer’s relative value.
You need data to segment customers effectively, so you’ll want analytics tools such as Google Analytics. You might also use dedicated customer segmentation software, depending on your budget and business goals.
By segmenting your customers, you learn more about your target audience and what matters to them. The result is more effective marketing campaigns based on the unique needs of each segment within your broader audience base.
Segmentation works best on any channel when you’re using personalized ads aimed at certain people because you can run multiple smaller, highly targeted ad campaigns designed to deliver the right message to the right audiences.
Customer segmentation ensures your existing customers don’t feel overlooked. You can segment your loyal customers into smaller groups to deliver relevant, loyalty-based rewards that could help increase customer retention over time.
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If you’re trying to upgrade your marketing, customer segmentation is your friend. By segmenting your audience, you can learn what matters to your customers, run targeted, more effective campaigns, and ultimately convert more leads into customers over time.
Start by evaluating the customer segmentation models I’ve described and consider which combination works best for your business goals. If you need any guidance for choosing between customer segmentation types, though, check out my consulting services to discover how my team can help.
Have you created your customer segmentation strategy yet? Which model do you find works best?
Your audience wants personalized marketing from your business.
In fact, they expect it. According to research, 71 percent of customers expect businesses to send them personalized marketing messages, and 76 percent are disappointed when they receive generic communications instead.
The challenge? If you don’t know your audience, you can’t send them personalized content. You don’t know what matters to them, so you can’t reach them on the right level.
If this dilemma sounds familiar, don’t worry. I have a solution for you, and it’s called customer segmentation. Customer segmentation helps you understand your audience so you can target your marketing campaigns with greater precision. Let me show you how it works.
Customer segmentation means dividing customers into groups, or “segments,” based on traits they have in common such as age, buying habits, gender, and needs.
Businesses use customer segmentation models to better understand their prospects so they can target them with relevant personalized marketing campaigns including ads, emails, and social media posts.
Customer segmentation isn’t just about reaching a new audience more effectively, though. It’s also a way to reconnect with lapsed customers and encourage new purchases by sending them carefully targeted messages.
Remember, every customer is unique. They each have own buying behaviors and reasons for choosing you over your competitors. While it’s impossible to personalize your marketing to every individual, a customer segmentation strategy is the next best thing.
For one thing, it helps you improve your customer service. By understanding your customers’ needs and wants, you’re better placed to help solve their problems.
Does customer service matter? Absolutely. Research says one in five customers will abandon a brand after just one poor customer experience, so the more effort you invest in great service, the better.
Similarly, segmenting your audience helps build customer loyalty. How? Because customers are typically more loyal to brands offering personalized messaging—for 79 percent of consumers, the more personalization a company uses, the more loyal they are.
What do loyal and happy customers have in common? They’re more likely to shop with you. By personalizing the shopping experience through segmentation, you create more dedicated customers, so you increase conversions over time.
Not convinced? Well, studies show that over 60 percent of customers are likely to be repeat buyers after a personalized shopping experience, so the stats speak for themselves.
You can use various customer segmentation models, depending on your business needs and marketing goals. Here’s a look at seven of the most common models.
Demographic segmentation means dividing people into groups based on certain demographic factors, including age, income, marital status, and occupation.
Let’s say your audience is men and women aged between 30 and 65. You want to run a TikTok campaign to promote a new product.
If you only run a campaign on TikTok, you miss out on a huge chunk of your target audience. Perform some demographic segmentation, and you’ll know to target Facebook, too, since 73 percent of 50- to 64-year-olds use this platform.
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On the plus side, it’s easy to use this model, and it helps you adjust your tone to target different genders and ages.
The main downsides? You risk making false assumptions about a particular segment. You could also lose your brand voice by targeting such varied demographics.
Always use this customer segmentation model alongside other techniques. For example, it might be helpful to know a customer’s buying habits and values, or where they live.
With geographic segmentation, you categorize your audience based on where they work, live, and shop.
This type of customer segmentation analysis is fairly straightforward. The main disadvantage? Ironically, it’s simplicity. On its own, geographic segmentation doesn’t reveal much about your audience, but you can use it alongside other models on this list to build the fullest possible picture of your audience.
Here’s how to get started with geographical segmentation:
McDonald’s frequently uses geographic segmentation to target different audiences around the world. For example, here’s a burger found in McDonald’s India:
McDonald’s creates products to suit its diverse audience and tap into the flavors and products they may respond to based on geography.
This brings me to another advantage of geographic segmentation: exclusivity. Since the McDonald’s menu varies by location, each item feels exclusive, harder to acquire, and more valuable, which may increase conversions.
We each have unique personalities, but we share traits or characteristics. Psychographic segmentation means forming groups based on common traits such as hobbies, lifestyle choices, personality traits, cultural beliefs, and values.
Psychographic segmentation helps you understand a customer’s psyche so you can devise highly focused, relevant campaigns. However, the main challenge is gathering (and organizing) the relevant data.
Follow these steps to start using psychographic segmentation:
Patagonia, an outdoor clothing brand, knows its customers care about sustainable living. They’ve made sustainability a core part of their brand messaging:
If you ran a store like Patagonia, you could segment customers based on whether they prefer hiking or cycling and then send targeted campaigns to meet their needs while retaining this core brand message.
Technographic segmentation means categorizing people depending on the devices, hardware, and software they use. Why does this data matter? Well, according to statistics:
As a marketer, you should care about how people are accessing your content so you can optimize their user experience (UX) and target them effectively. Technographic segmentation can help.
There are a few ways to segment your audience using this method, but here’s how I suggest you start.
Armed with this data, you can create your campaigns.
Let’s say you run a tech store. Some customers use Norton 360 for PCs. Others use Avast Security for Mac.
You split your marketing campaign by software. You send one email to Norton subscribers offering a discount on their annual subscription. You send another email to Avast customers offering the same discount for Avast.
The result? Emails that speak to your audience’s specific tech needs, which increase your chance of making conversions.
You could take it further, too. Say, through analytics, you notice your Norton PC customers are looking at mobile antivirus solutions. You could send them a discount code like this one from PCWorld:
By anticipating what matters to your audience based on their tech preferences, you’re meeting their needs…and hopefully nurturing them through to checkout.
Is this a perfect customer segmentation model? No. One significant drawback is its limitations: Knowing a customer’s tech preferences is only one part of what shapes their buyer’s journey. However, it’s a marketing technique worth adding to your toolbox.
Want to know how your audience interacts with your business? Try behavioral segmentation.
Behavioral segmentation means grouping people together based on behavior patterns. These patterns reveal how consumers feel about your business so you can determine how to successfully reach them at every stage of the buyer’s journey.
As with other models, behavioral segmentation can be used at any point in your marketing strategy, whether it’s to revamp a landing page or send promotional emails.
First, identify the behavior patterns to track. There are many ways to approach this, but you might segment customers based on their:
For example, say you group customers based on engagement. What counts as an “active” and “lapsed” customer varies depending on your business, but here are three groups you might have:
Next, you can devise three separate marketing campaigns. You might send active customers a loyalty discount, and infrequent customers a separate discount to tempt them back.
Once your campaigns are up and running, track your analytics. If you’re not getting the results you want, adjust your campaigns and try again.
With over 221 million subscribers, Netflix knows how to use behavioral segmentation to satisfy customer demand.
Behavioral segmentation has a significant downside, though: There’s always the chance you get the algorithms wrong. That said, if you track results diligently and respond to your findings, you can offset this drawback.
Successful marketing often comes down to showing prospects how your goods or services meet their needs. That’s where needs-based segmentation comes in.
With needs-based segmentation, you’re grouping people based on what they need from your product. The benefits they’re looking for when they buy something. What pain points they have, and the problems they need solving.
The biggest challenge? Identifying what these needs are.
For example, say you’re a food brand. Two prospects follow you on social media. One cares about fresh chicken, and the other wants vegan food. You might sell meat and non-meat products, but the same ad campaign won’t appeal to both.
Driving down into groups’ needs and motivations helps you maximize your campaigns.
Let’s do a simple comparison. Heck sells gluten-free vegan and non-vegan meat. They know some customers love the gym and care about high-protein snacks, so they launched a campaign to sell their meat at local gyms:
They know other customers care less about fitness and more about a vegan lifestyle, so they frequently create social media posts around meat-free products:
Heck clearly spent time learning about its wider customer base and what drives them so it can effectively reach every segment while retaining a consistent brand voice.
Here’s another example. Beauty store Revolution lets customers shop by skin concern and by ingredient to directly target consumers’ needs:
Now that you understand how this customer segmentation model works, is it right for you?
Well, there are clear advantages. Needs-based segmentation helps you market with greater accuracy than, say, targeting groups by age or location. It’s comprehensive and effective, and it could help you build loyal customer relationships.
The main drawbacks? It’s challenging to identify the “right” needs to target, and if you don’t have accurate data, your campaigns may fail. What’s more, consumer needs evolve, so you’ll need to review your strategy regularly to maximize your campaign effectiveness.
Here’s the simplest approach.
Once you have enough data, use your findings to create segmented marketing campaigns. Track your campaigns and tweak them as needed.
The better you understand how much it costs to lose a certain client’s business, the better you can direct your marketing efforts. Value-based segmentation can help you by grouping customers together based on their value to your business.
Why group customers together this way? Well, there are two advantages.
Firstly, if you know which customers spend the most money on your products, then you know which customers you can’t afford to lose. You can direct resources into providing these customers with highly targeted campaigns and great customer service.
Secondly, you can identify your most loyal clients and how much it costs to retain their business. Once you know a customer’s relative value, you can decide if it’s worth retargeting these inactive customers with personalized messaging.
Is retention worth the effort, though? There’s evidence that it can be up to seven times more expensive to acquire rather than retain customers, so yes, retention matters.
Here’s how to segment your customers on a value basis.
On the plus side, value-based segmentation helps you quickly identify your most valuable customers in order to target them more effectively. However, if you’re a startup or young business, you may not have enough relevant data to use this customer model just yet.
Here’s an example of the basic value-based segmentation principles in action and how this method helps with retargeting and conversion.
Merkle, a marketing company, helped a global cruise company develop a value-based approach to their next marketing campaign.
The cruise company sent the same messages to every customer regardless of their lifetime value (LTV). To boost revenue, they wanted to segment customers based on their LTV to send tailored ads and emails.
The company broke down each customer’s total predicted economic value. Once they identified the highest-value and most loyal customers, they could better nurture them through the sales funnel with specific, smaller campaigns.
The results? Five percent of lapsed but loyal customers returned, and they shortened the purchase cycle by 24 percent. All it took was some focused, personalized messaging based on a customer’s relative value.
You need data to segment customers effectively, so you’ll want analytics tools such as Google Analytics. You might also use dedicated customer segmentation software, depending on your budget and business goals.
By segmenting your customers, you learn more about your target audience and what matters to them. The result is more effective marketing campaigns based on the unique needs of each segment within your broader audience base.
Segmentation works best on any channel when you’re using personalized ads aimed at certain people because you can run multiple smaller, highly targeted ad campaigns designed to deliver the right message to the right audiences.
Customer segmentation ensures your existing customers don’t feel overlooked. You can segment your loyal customers into smaller groups to deliver relevant, loyalty-based rewards that could help increase customer retention over time.
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If you’re trying to upgrade your marketing, customer segmentation is your friend. By segmenting your audience, you can learn what matters to your customers, run targeted, more effective campaigns, and ultimately convert more leads into customers over time.
Start by evaluating the customer segmentation models I’ve described and consider which combination works best for your business goals. If you need any guidance for choosing between customer segmentation types, though, check out my consulting services to discover how my team can help.
Have you created your customer segmentation strategy yet? Which model do you find works best?
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