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Peel Analytics
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Average Lifetime Revenue

What is Average Lifetime Revenue?

Average lifetime revenue (ALR) is a metric that measures the amount of revenue you can expect from any single customer for as long as that person remains a client. Understanding your store’s ALR empowers you to make well-informed marketing and sales decisions based on short- and long-term goals. Optimizing the expected value of any given customer over their average lifetime is key to your store’s success. One of the most direct methods of increasing your ALR is by ensuring a positive first impression. Any given customer is more likely to return to your store if their experience is rewarding. Addressing any friction and pain points that inhibit customer conversion will increase this rate. Follow the positive experience up with a retargeting campaign, and you can expect to see your ALR increase.

How to calculate Average Lifetime Revenue

Calculating ALR does not necessarily need to be complex, and the insight it gives is invaluable to your success. To find your ALR, you first need to know your average customer lifetime, your average cart value and average number of transactions. Once these metrics are known, multiplying them together gives you a paired down version of your ALR. Once you know your average lifetime revenue, using it in conjunction with other metrics like customer acquisition cost allows you to set goals and measure levels of success. Here’s ALR expressed as a formula: ALR = (Net Sales + Shipping Revenue + Tax) / Customers.

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President, True Classic
Peel’s reports are magic. They unlocked answers to burning analytical questions and revealed insights we couldn’t easily find elsewhere. What sets the technology apart is its ability to go deeper and turn data into actionable insights through hyper-specific customer segmentation. Our team is hooked.

Jiake Liu

The daily graphs on Slack have been super helpful as they provide an at-a-glance view of our business performance and trends. The dashboard is a very powerful tool that was able to delay our expensive data analyst hire. Highly recommended to any ecommerce store that's serious about data driven decision making.

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Peel helped us synthesize our business data so we could plan, produce, and predict the launch of our new product offering - UTI kits. Peel made it easier for us reach Stix’s milestone.

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Co-Founder, Porter Road
Words don’t say enough how easy it is for me to digest my data. Peel shows us exactly what is going on with our customer’s purchasing behaviors so we can take action on those opportunities.

Nicole Gibbons

Founder & CEO
Our business is quite nuanced. We trialed a myriad of analytics tools on the market but none allowed for the unique customizations we required in order to have an accurate view of our business. Peel was the only product that was able to work with us to ensure reliable and valuable data. Kudos to the Peel team for making this awesome product!"

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Davie Fogarty

Founder & CEO
I'm extremely happy with Peel. They have amazing segmentation in the back end that helps us understand our LTV over certain windows along with our cohorts and MER targets.

Helen Guo

Co-Founder & CMO
Great analytics tool, fairly priced and comparable to other way more expensive tools out there, support has been fast and helpful. Highly recommend.

Jennifer Berglund

Director of Ecommerce & Digital Marketing
Peel Analytics has become a powerful tool within our tech stack, enabling us to more easily segment our data and uncover actionable insights to help drive our subscription business.

Annie Ricci

Sr. Manager, CX, Loyalty and Retention at Prima
As a start-up, retention/cohort data is one of the most valuable tools in our toolbox — yet it's one of the most challenging to access. Within a day of downloading Peel, we had access to dozens of out-of-the-box valuable reports and visualizations that provide us with actionable insights into our consumer's behavior. We're so impressed with the product and team. Plus the monthly cost is less than the hourly rate of our outsourced data person!
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