If you run a BigCommerce store, you already collect a lot of customer data - but raw data alone doesn’t help you grow.
Customer segmentation helps you answer questions like:
- Who are my most valuable customers?
- Which customers are about to churn?
- Who should I target with promotions or loyalty rewards?
In this guide, you’ll learn:
- What customer segmentation really means in BigCommerce
- How RFM segmentation works (in simple terms)
- How to interpret each customer group
- What actions to take to increase revenue and retention
By the end, you’ll know exactly how to use your customer data to make smarter decisions.
What Is Customer Segmentation?
Customer segmentation is the process of dividing your customers into groups based on their behavior.
Benefits of segmentation:
| Benefit | Why It Matters |
|---|---|
| Reward loyal customers | Keeps your best buyers engaged |
| Re-engage inactive customers | Reduces churn |
| Identify high-value buyers | Focus marketing on profitable segments |
| Improve marketing performance | More personalized campaigns |
One of the most effective methods for segmentation is RFM analysis.
Step 1: Understand RFM Segmentation
RFM stands for:
| Metric | Meaning | Example |
|---|---|---|
| Recency | How recently a customer purchased | Bought yesterday → High recency; Bought 6 months ago → Low recency |
| Frequency | How often a customer buys | 10 purchases → High frequency; 1 purchase → Low frequency |
| Monetary Value | How much a customer spends in total | $1,000 spent → High value; $40 spent → Low value |
Customers who buy recently, buy often, and spend more are most likely to purchase again.
Step 2: Common Customer Segments
After analyzing RFM, customers naturally fall into groups. Here’s a quick reference:
| Segment | Who They Are | Example Actions |
|---|---|---|
| Champions | Best customers - frequent, high-spending, recent buyers | Reward loyalty, early access, ask for referrals |
| Loyal Customers | Buy often but spend less than Champions | Send personalized offers, bundles, keep engaged |
| Potential Loyalists | New customers showing early engagement | Onboarding emails, second-purchase discounts |
| At Risk | Previously active but haven’t purchased recently | Win-back campaigns, personalized offers |
| Hibernating | Inactive for a long time | Re-engagement campaigns, decide if they should stay in marketing |
Step 3: How to Use Segmentation to Grow Revenue
Segmentation only works if you take action. Use this table as a quick reference:
| Goal | Focus Segment | Example Actions |
|---|---|---|
| Increase Retention | Loyal Customers, Potential Loyalists | Loyalty rewards, product suggestions, exclusive offers |
| Reduce Churn | At-Risk Customers | Win-back emails, limited-time discounts, feedback surveys |
| Increase Average Order Value | Champions, Loyal Customers | Upsells, product bundles, early access to premium products |
Step 4: Common Mistakes to Avoid
| Mistake | Why It Hurts |
|---|---|
| Treating all customers the same | Missed opportunities to increase revenue |
| Only looking at total revenue | Ignores individual behavior patterns |
| Ignoring inactive users | Lose potential repeat purchases |
| Not acting on segmentation insights | Segmentation becomes just another report |
Step 5: How to Do This Easily with Chartsy
Manually calculating RFM is time-consuming. Chartsy automates this:
| Feature | Benefit |
|---|---|
| Automated customer analysis | No manual calculations required |
| Clear segments | Champions, Loyal, At Risk, Hibernating |
| Charts & trends | See changes over time |
| Actionable insights | Identify which customers to target first |
Instead of spreadsheets, you get ready-to-use charts and insights in seconds.
Quick Checklist: Are You Using Segmentation?
- Identify your best customers
- Identify customers at risk of churning
- Create different strategies for each segment
- Act on segmentation insights
Final Thought
Customer segmentation isn’t just data - it’s clarity.
When you understand who your customers are and how they behave, every decision becomes easier:
- Marketing becomes smarter
- Retention improves
- Revenue grows
Segmentation is the foundation for making BigCommerce data actionable.
Written by
Chartsy TeamThe Chartsy Team writes guides, product updates, and resources to help SaaS and eCommerce founders make sense of their metrics, without SQL or spreadsheets.
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