Analytics, Artificial Intelligence, Marketing, UI/UX Design

Collect More Targeted & Intelligent Customer Segmentation

Posted on August 8, 2023

By Keri Lindenmuth

May 25, 2024

Looking to forge stronger connections with your customers? If capturing customers or retaining them is proving difficult, it’s time to question whether you are genuinely providing a solution that meets their needs. What is their “job to be done?” The answer to this can depend on a variety of factors: from geographic location and industry to number of employees and revenue.

When it comes to identifying your customers’ current situation and future needs, customer segmentation stands as both a cornerstone and a challenge. Segmentation, the practice of dividing a customer base into groups with similar needs and behaviors, enables companies to tailor their marketing strategies, fostering efficiency and engagement. However, the path to successful segmentation is fraught with difficulties, often arising from insufficient data, ambiguous categorization, and rapidly changing consumer trends. Poor customer segmentation can lead to wasted resources and missed opportunities, creating a chasm between businesses and their target audience. How can your organization leverage comprehensive data analysis to better connect with your customers?

A Common Challenge

When it comes to successfully segmenting their customers, a common challenge many organizations face is the over-reliance on basic demographics such as age, gender, or income. While these factors can be informative, they often fall short in capturing the complexities of consumer behavior and preferences. Such a simplistic approach may lead to making broad assumptions that are not supported by data-driven insights, potentially resulting in ineffective targeting and missed opportunities, including:

  • Resource Misallocation: Without proper segmentation, you might spend resources targeting people who are not likely to be interested in your products. This is inefficient and can allow more focused competitors to gain an advantage.
  • Irrelevant Communication: Sending irrelevant offers and messages can annoy customers, leading them to disengage with your brand. A competitor that communicates more effectively and offers more relevant products or services may then gain their loyalty.
  • Targeting the Wrong Audience: Without proper segmentation, you may end up targeting the wrong audience or trying to target everyone at once. This lack of focus can lead to diluted messages that do not resonate with any specific group.
  • Increased Costs with Reduced Effectiveness: Marketing to multiple audiences without proper segmentation means your campaigns will be less effective. You might be advertising to people who are not interested in your products, wasting money.
  • Inefficiencies in Advertising: Without segmentation, you cannot create targeted advertising strategies. You may end up spending on expensive broad-reaching ads that have low conversion rates rather than targeted campaigns that would reach potential customers more effectively.

With so much at stake, how can you ensure your products, services, and marketing efforts meet your customers’ needs without truly knowing your customers?

Improving Customer Segmentation

There are many more nuanced segmentation techniques, such as leveraging psychographics, behavioral patterns, and predictive analytics, that will better help you identify your customers’ needs and wants. These methods, which you’ll learn more about below, will better help you identify emerging trends and preferences and aid in creating personalized experiences that resonate with the individual needs of each customer segment so you can ultimately drive growth and strengthen brand loyalty.

Advanced Segmentation Techniques

Advanced techniques like RFM analysis (recency, frequency, and monetary), predictive modeling, clustering, and machine learning algorithms can identify hidden patterns and segment customers more effectively than data like age, gender, and income can. There are several types of segmentation techniques businesses like yours should consider:

  • Psychographic segmentation considers your shopper’s interests and personalities, like their hobbies, values, goals, and lifestyles.
  • Geographic segmentation is based on your customer’s location. This means looking at their country, region, and city.
  • Behavioral segmentation helps you determine groups based on the actions of your shoppers. Seeing their spending habits, which pages were viewed, and what buttons were clicked can give insight into what your customers are looking for.

Remember: The factors used for segmentation should be pertinent and tailored to both the industry and the specific customer group. Whether concentrating on aspects such as demographics, psychographics, behavior, or geography, businesses need to emphasize the criteria that align most closely with their objectives. Is your goal to improve pricing strategy? Then perhaps behavioral segmentation will work better. Where are their common pricing sensitivities? Want to identify new market opportunities? Run geographic or psychographic segmentation to see where there may be overlooked demographics. Meanwhile, if your goal is improving customer retention, running behavioral segmentation on returning customers may help you find trends and common threads that keep these loyal customers engaged.

Comprehensive Data Collection

Advanced segmentation techniques require tapping into different resources such as purchase records, interactions on social media, responses to surveys, and analysis of website traffic. Through the use of contemporary data analysis tools, your organization can discern trends, likes, and conduct, which gives you a deeper understanding of their clientele.

There are several tools you can use to collect these details. Zoho PageSense is a powerful tool that, when used alongside Google Analytics, can help you monitor and report on website traffic. Leveraging the power of e-commerce platforms like Zoho Commerce, Shopify, and Magento can provide you with insights on customer purchase history, popular products, and price ranges. Meanwhile, Salesforce, HubSpot, and Zoho CRM are customer relationship management tools that help you track all of your customer data in one easy-to-access record.

Embracing AI

AI-powered analytics tools are revolutionizing the way businesses handle data by streamlining the collection, analysis, and segmentation processes. Through the use of advanced algorithms, these tools can rapidly sift through vast amounts of information, identifying trends and patterns that would take a human analyst much longer to discover. This accelerates decision-making, as the analytics are available in near real-time. Moreover, AI’s ability to learn and adapt means that the analysis becomes more refined and tailored over time, efficiently segmenting data into meaningful categories.

The advantage of this streamlined process goes beyond mere speed. By automating much of the manual labor traditionally associated with data handling, businesses can free up valuable human resources for more complex and strategic tasks. This can lead to better utilization of the workforce and potentially uncover insights that might have otherwise remained hidden. The integration of AI into analytics is not just a technological advancement; it’s a strategic transformation that enhances accuracy, efficiency, and the potential for innovation within the business landscape.

Want to learn more? Book a meeting with us today!

Looking for a Partner Who Can Help?

The consequences of poor customer segmentation can be far-reaching, affecting customer engagement, revenue, and even brand reputation. Through comprehensive data analysis, utilizing advanced segmentation strategies, and leveraging the power and efficiency of AI, you can foster a more meaningful connection with your customers, driving growth and success. However, remember: the journey toward better segmentation is ongoing, and investing in the right tools, techniques, and continual learning can make all the difference.

Whether you need help defining your segmentation techniques, developing user personas, or building powerful data analytics tools to help you understand your customer base better, KDG’s experts are here to guide you every step of the way. With a wealth of experience in customer analytics, data-driven marketing, and innovative solutions, our team is equipped to help you transform your segmentation strategies and achieve unparalleled results. Contact us to take the first step towards a more targeted, intelligent, and impactful customer engagement strategy.

Steve Solt headshot

Keri Lindenmuth is the Marketing Team Lead at KDG. Keri is responsible for all marketing activity for KDG and the company’s clients. Under her leadership, she has helped bring KDG recognition in the form of numerous marketing mentions on sites like HubSpot and GoDaddy, over two dozen features in local newspapers, and several successful digital campaigns.

Want to learn more? Book a meeting with us today!

Recent Posts
KDG logo

KDG & AI: Where Innovation Meets Intelligence

Turn AI complexities into competitive advantages through tailored strategies that ensure operational excellence and innovation.

Share this post!

Explore More: Related Insights

  • Article
    Retirement 101: Solo 401(k) Plans
  • Case Study
    HTSS: Managing Big Data in Zoho Books
  • Article
    The Role of Custom Software in Reinventing the Manufacturing Processes