10 Customer Engagement Metrics To Track in 2026

One of the most important things you can do to gauge the health of your business is to cultivate an awareness around how customers perceive your brand. Also known as customer engagement metrics, these stats measure how people interact with your business across key touchpoints, including repeat purchase rates, customer lifetime value, churn rates, and customer satisfaction scores.

Customer engagement affects how likely people are to keep buying from your brand, renewing relevant memberships, or leaving your services. 

This guide covers which customer engagement metrics to track to gauge the health of your business, and how to interpret their results. 

What are customer engagement metrics?

Customer engagement metrics are data points businesses can use to understand how customers interact with a brand. They help identify which experiences are connected to loyalty and retention, as well as where the customer journey can benefit from improvement.

Customer engagement metrics fall into four categories:

• Sentiment and satisfaction metrics. Measure how customers feel about your brand and its products.
• Behavioral metrics. Track the actions customers take, such as repeat purchases or product usage.
• Channel-specific metrics. Measure engagement across sales channels, such as email, social media, SMS, or live chat.
• Outcome and value metrics: Connect engagement to business results, such as customer lifetime value or retention rate.

These metrics can also show what customers value after a purchase. In Shopify’s 2025 Global Holiday Retail Report, 49% of surveyed shoppers said discounts would earn their loyalty to retailers they bought from during the holiday season. Free shipping or returns ranked next, at 41%, followed by loyalty programs, at 29%.

Customer engagement vs. customer satisfaction

Customer satisfaction is one part of customer engagement measurement. Satisfaction metrics capture how customers feel about a product or purchase, and may include:

• Customer satisfaction score (CSAT). Measures how satisfied customers are with a specific experience, such as a purchase, delivery, or service interaction.
• Customer effort score (CES). Measures how easy it is for customers to complete an action, such as finding a product, checking out, or resolving an issue.
• Net Promoter Score (NPS). Measures how likely customers are to recommend a brand.

The American Customer Satisfaction Index's 2026 benchmark scored online retailers at 79. While an industry-wide score like this provides a baseline for how happy customers are with their initial transactions, it captures only a snapshot of current sentiment.

Engagement metrics indicate whether customers continue to interact with the brand after that experience. A customer who has a positive experience may open future emails, make another purchase, join a loyalty program, write a review, or refer a friend.

How to measure customer engagement

To measure customer engagement, you’ll want to tie each metric to a specific business decision. Start with the customer action you want to understand, then choose the report that captures it. Use this four-step framework to help map out your strategy:

1. Define the action. Track customer actions, such as product views, email clicks, repeat purchases, referrals, or loyalty sign-ups.
2. Match metrics to the customer journey. Use Shopify Analytics to understand store activity, sessions, sales by channel, and conversion performance. Google Analytics 4’s Engagement overview report can also show engagement time, engaged sessions, and page views. 
3. Segment the results. Compare first-time and returning customers, loyalty members and non-members, or customers from different channels.
4. Connect metrics to next steps. Low email click-through rates may indicate the need for a new campaign. A drop in repeat purchases may prompt you to try out a winback offer. Low survey scores may imply issues with checkout, delivery, or customer service.

For more visibility across the customer journey, use the following tools:

• Shopify customer reports. Track new customers, returning customers, one-time customers, customer location, customer cohort analysis, predicted spend tier, and RFM customer groups.
• Email reporting tools. Tools such as Shopify Messaging, Klaviyo, or Mailchimp can track open rate, click-through rate, unsubscribe rate, revenue per email, and customer segments.
• Survey tools. Post-purchase, CSAT, CES, and NPS surveys can all show how customers feel after key interactions.

Shopify’s Q4 2025 Survey of Store Owners* found that less than half of merchants track profit margins, traffic, average order values, or conversion rates. That leaves many businesses without a full view of how customers move from first visit to repeat purchase.

Rainbow Shops is one example of engagement measurement tied to ecommerce decisions. After moving to Shopify, its native apps accounted for 20% of customer interactions, site search volume increased 48%, and Shop Pay grew from one in five checkouts to one in three.

10 customer engagement metrics to track

These 10 key customer engagement metrics provide insight across all stages of the customer journey and can help you make strategic decisions for your brand:

1. Social media engagement
2. Email open and click-through rates
3. Average review rating
4. Referral rate
5. Net Promoter Score, CSAT, and CES
6. Conversion rate
7. Repeat purchase rate
8. Repeat purchase frequency
9. Customer lifetime value
10. Churn rate and retention rates

1. Social media engagement

Social media engagement measures how people interact with your brand on social platforms. It links social interactions to store traffic, sales, and repeat interest. Social media engagement varies by platform, but can include:

• Likes
• Shares
• Follows
• Comments
• Video view duration

These metrics show how people respond to your content outside of shopping on your website. Comments and shares can reflect active interest, while follows and video view duration can show whether people want to keep seeing your brand.

Store owners can use Shopify Campaigns to create tracked links, add UTM parameters, and measure campaign results across channels. Brands that work with creators can use Shopify Collabs to manage creator partnerships and track affiliate sales from creator links or codes.

Social media is also a common growth channel for new merchants. In Shopify’s Q4 2025 Survey of Store Owners, 35% of merchants cited building a social media presence as their second most common Year One growth strategy.

Ashwinn Krishnaswamy is the founder of Forge, a New York–based branding and digital strategy agency. On an episode of the Shopify Masters podcast, he says founder-led companies can capitalize on social media to build long-term engagement for their businesses. One successful example of this approach is Marcus Milione, founder of apparel brand Minted New York.

“He’s building a really interesting community, getting people bought into his story and the product he’s creating,” Ashwinn says. “He creates a video and, because it goes viral, he’s going to drive a ton in sales. It’s a kind of long-term building a community that is, over the long term, going to purchase from you.”

2. Email open and click-through rates

Email open and click-through rates show whether subscribers notice your emails and take action after reading them. Open rate tracks how many recipients open an email. MailerLite’s 2026 email benchmark report lists an ecommerce open rate benchmark of 32.67% and a click rate benchmark of 1.07%, which can be directly attributed to:

• Subject lines
• Sender names
• Send timing

On the other hand, click-through rates track how many recipients click a link. You can use it to evaluate:

• Email copy
• Product offer
• Call to action
• Links back to your store

Sukhmani Designs used Shopify to automate marketing sign-up capture during purchase. The brand reported email engagement rates three to four times above the industry standard. Store owners can use Shopify Messaging automations to send email and SMS messages after certain actions, such as newsletter sign-ups, product views, and abandoned checkouts.

To improve email performance, start by targeting the metric that is underperforming. Low open rates call for subject line, sender name, or timing tests, while low click-through rates point to an issue with the offer, copy, product links, or call to action.

3. Average review rating

Average review rating measures how customers rate your products, usually on a five-star scale. In Shopify, use Shop product reviews to collect reviews from customers who purchased through the Shop app or online store. Shopify also shows average product review ratings in the admin, with ratings displayed from one to five stars in Shop.

Review ratings can help you track:

• Product quality
• Customer satisfaction
• Fit, sizing, or usability issues
• Changes after a product update

Detailed reviews can add context behind the rating. A three-star review may be attributed to a sizing issue, while a five-star review may mention fast shipping, product quality, or clear instructions.

The FTC’s Consumer Reviews and Testimonials Rule addresses fake, false, and deceptive reviews and testimonials. Merchants should collect reviews from real customers and avoid hiding negative feedback in ways that misrepresent customer opinions.

4. Referral rate

Referral rate expresses how often existing customers bring in new shoppers, which helps you track word-of-mouth growth. To determine your brand’s referral rate, use this formula:

Customer referral rate = (Total number of referrals / Total number of customers) x 100

Word of mouth is a common early growth channel. In Shopify’s Q4 2025 Survey of Store Owners, 53% of merchants cited word of mouth as their most common Year One growth strategy.

To encourage referrals, create Shopify discount codes for customers to share with friends or family. Customer segments can help target referral offers by purchase history, location, or customer behavior.

Track referrals through:

• Unique discount codes
• Referral links
• New customer purchases
• Loyalty or referral app reports

For a full referral program, use apps such as ReferralCandy or Smile to issue rewards, create shareable links, and track referred sales.

5. Net Promoter Score, CSAT, and CES

Used together, these scores show different parts of the customer experience, including overall loyalty (NPS), satisfaction after key moments (CSAT), and where customers face friction (CES).

Use these scores to choose the next necessary action for your business. A low NPS may call for a review of product, service, or brand experience; a low CSAT can point to a specific issue after purchase; a low CES often means customers are working too hard to complete a task.

6. Conversion rate

Conversion rates measure the share of visitors who complete a key action and help show where shoppers drop off before they buy. For ecommerce stores, the main conversion rate metric is the purchase conversion rate:

Conversion rate = (Conversions / Total sessions) x 100

In Q1 2026, Statista reported that ecommerce sites across selected verticals had an average conversion rate of 1.4%, while food and beverage and skincare sites each converted at 2.4%.

In Shopify, stores can use behavior reports to review the conversion funnel, including how many customers:

• Added an item to their cart
• Reached checkout
• Completed checkout

To problem-solve, start with the largest drop-off in Shopify’s Conversion rate breakdown report, then review the page, offer, shipping cost, payment options, or checkout step where shoppers leave.

7. Repeat purchase rate

Repeat purchase rate tells you how often customers come back after their first order, making it a useful retention metric. To calculate your repeat purchase rate, use this is the formula:

Repeat purchase rate = (Number of repeat customers / Total customers) x 100

Stores use customer reports in Shopify to review:

• New versus returning customer sales
• Returning customers
• One-time customers
• Customer cohorts
• RFM customer analysis

Loyalty programs can encourage more repeat purchases. Deloitte’s 2025 Consumer Loyalty Program Survey found that 72% of US loyalty program members say loyalty programs make them more likely to spend with their preferred brand. Another 56% say they spend more because of the program.

Review one-time customers first, examining what they bought, when they purchased, and whether they returned to the site later. From there, test one retention tactic at a time, such as post-purchase emails or loyalty rewards, to figure out what works best with your audience. 

8. Repeat purchase frequency

Repeat purchase frequency measures how often the average returning customer purchases within a specific month or year. This reflects their level of engagement and the regularity of their product usage. Here’s the formula:

Repeat purchase frequency = Purchases / Customers for a cohort during a period

Repeat purchase frequency gauges the strength of your customer retention strategy. For example, if a skincare product has 30 uses, you’d likely want a repeat purchase frequency of once per month instead of once per quarter. Say a group of 120 customers made their first purchase in August 2024; by August 2025, they had completed 360 purchases, resulting in a purchase frequency of:

360 / 120 = 3 per year

Review customer cohorts by month, quarter, or year to see how purchase frequency changes over time. A lower-than-expected frequency can mean missed reorder reminders, weak retention offers, or a product that customers use less often than expected.

9. Customer lifetime value

Customer lifetime value (LTV) estimates the total revenue you can expect from a customer over their entire relationship. The formula is:

LTV = Average order value (AOV) x Average purchase frequency x Average customer lifespan

LTV brings several engagement metrics into one revenue estimate:

• Repeat purchase rate shows how many customers buy again
• Repeat purchase frequency shows how often returning customers buy
• Average order value shows how much customers spend per order
• Retention shows how long customers stay active

If your average order value is $50 and each customer purchases an average of four times a year and remains a customer for five years, your LTV would be:

50 x 4 x 5 = $1,000

Use LTV to compare customer groups, review retention work, and decide how much spend to acquire similar customers. Apps such as RetentionX can also help analyze LTV and customer profitability in Shopify.

10. Churn rate and retention rates

Customer churn rate tracks the share of customers who stop buying during a set period, making it a useful way to spot retention problems. To calculate your customer churn rate, use this formula:

Churn rate = [(Customers at the start of the period - Customers at the end of the period + New customers acquired) / Customers at the start of the period] x 100

Customer retention rate is the positive counterpart to customer churn rate; it shows the share of customers who stayed active during the same period. It can be calculated using this formula:

Retention rate = [(Customers at the end of the period - New customers acquired) / Customers at the start of the period] x 100

A rising churn rate can point to problems such as:

• Price changes
• Product quality issues
• Poor delivery experience
• Weak reorder timing
• Limited subscription flexibility

For example, a subscription box that raises prices may see more cancellations if customers no longer see enough value in each shipment. Be sure to review churn and retention rates together to see whether the issue is isolated to one group or spreading across more customers.

Other useful customer engagement metrics

Some engagement metrics are more specific to a channel or customer touchpoint. Use them when you need more detail than the main metrics provide.

• Pages per session. Shows how many pages a visitor views in one session. It can reflect how deeply shoppers browse your store.
• Time on page or session duration. Shows how long visitors spend with your content. It can help you evaluate product pages, landing pages, and blog posts.
• DAU/MAU. Compares daily active users with monthly active users. It’s most relevant for apps, memberships, and communities.

Turn customer engagement metrics into a retention strategy

Customer engagement metrics show what shoppers do after they visit, buy, subscribe, or stop returning. Use that data to decide which customers to reach and which part of the experience to review.

Start your review with customer groups. Using Shopify customer segmentation, create segments for one-time buyers, high-value customers, or customers who have not purchased recently. Shopify Forms can collect email sign-ups and customer details for future campaigns.

Then put that information to work:

• Send win-back emails to customers who have not purchased recently.
• Create reorder reminders for products with a clear replenishment cycle.
• Offer loyalty rewards to repeat customers.
• Test campaigns against repeat purchase rate, conversion rate, or LTV.

Shopify Flow can automate these steps. A workflow can tag a high-value customer, start a post-purchase follow-up, or create an internal task when a customer joins a segment.

*Based on a 2025 survey of 500 Shopify merchants conducted in English across Australia, Canada, the United Kingdom, Ireland, New Zealand, and the United States. Respondents were established merchants with two or more years on the platform. Results reflect the experiences of this specific sample and may not be representative of all merchants.