◈ Homepage — https://retina.ai/PRODUCT RESOURCES Predict Customer Lifetime Value From Day 1 Leading e-commerce and subscription brands use Retina AI to predict customer lifetime value and make more profitable decisions. Companies already using Retina “Retina’s Predictive CLV changed the behavior of our Acquisition/Growth and Finance teams on how they measured media payback and customer performance. The faster feedback loop enabled the Acquisition/Growth team to respond quickly and adjust media tactics to drive scale and profitability at the same time.” – Sujay Kar VP Strategic Analytics & Business Insights, Dollar Shave Club Power your business with Retina Get fast, reliable CLV Every deliverable related to 90%+ accurate CLV (scores, analytics, backtest & data explorer) is delivered within hours vs. months or years and at a fraction of the cost.   Gain a deeper understanding of your customers Access dashboards and reports that tell you which segments, customers, and attributes are high-performing and which are dragging down your business profitability.   Improve customer profitability Retina’s unique combination of predictive insights and integrations make it easy to identify and act to acquire and retain more high-value customers.   Generate more accurate forecasts Go beyond past customer behavior data and start building forecasts based on accurate predictions of future customer behavior and revenue. SOLUTIONS MEDIA ABOUT US CAREERS EXPLORE RETINA! FOLLOW US: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy ◈ Interior Pages — 19 pages crawledData Analytics - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog Data Analytics Teams Retina partners with data analytics professionals to empower them with tools to use accurate, predictive customer lifetime (pCLV) insights. Built by Analytics, for Analytics The Retina platform was built to solve the day-to-day problems of resource-strapped data analytics teams. Our team has been there, in the trenches, and knows what it takes to empower analytics professionals to get a seat at the strategy table. If you are being asked for data as an after thought, and not being brought in early to solve business challenges, then check out what Retina can do for you and your organization. Request Demo Before Retina Problems Data Analytics face: Accurate tracking of complex business metrics with real-time insights How to deliver a predictive CLV model that utilizes AI with limited time and resources Ways to apply data insights for recommendations to company strategies Effective communication and alignment to drive data literacy throughout their organizations With Retina Step 1 Decision & Integration Step 2 Insights & Action Step 3 ROI & Beyond 1. Decision & Integration Instantly enhance customer intelligence with Retina’s fast and accurate platform Get access to a variety of customer features: Customer lifetime value, residual value, probability of lapse, persona, and more Save time and resource to get to insights and success faster 2. Insights & Action Determine what actions bring in new customers with high-brand loyalty Discover which product bundles resonate with high-value customers Build segments and personas based on customer lifetime value Reorient product and marketing efforts to cater to high CLV customer segments Get recommendations adopted across the organization 3. ROI & Beyond Increase average CLV by 13% Boost retention numbers by 8% Including cost savings from not growing the data team, the insights from Retina created an annual value-add of $1M+ Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention Customer Lifetime Value Frequently Asked Questions for Business Leaders - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog FAQs: Answers from the CLV Experts Got questions? We’ve got answers! Check out our FAQs below. If you’re looking for more resources, check out the Customer Lifetime Value Academy. Frequently Asked Questions a What is customer lifetime value? Customer Lifetime Value (CLV) is a metric that estimates how much value (usually revenue or profit margin) any given customer will bring to your business over the course of the total time they interact with your brand—past, present, and future. Customer Lifetime Value (CLV) is the single most important metric for you to know because it demonstrates who your best customers are and what they have in common. Using this metric effectively revolutionizes the approach to both acquisition and retention marketing, separating true industry disruptors from the rest of the pack. Think about it—how would your marketing, sales, and product strategies and budget allocations change if you could predict which audiences will remain loyal to your brand for years to come? And which will visit your site and make just one highly-discounted purchase before falling off the radar completely? What if you knew that some customers you are already planning to spend lots of your budget to retain actually aren’t likely to bring lots of value to your organization anyway? a How do you calculate customer lifetime value? There are many formulas available to calculate lifetime value. However, calculating predictive customer lifetime value at the individual level requires a complex model. The steps include: Locate the necessary data Forecast every existing customer’s behavior Split the data into two sets for training and testing Add customer features and attributes to the model Train and validate the model Put the model into production Read our whitepaper to learn 8 steps to calculate CLV. Check out this blog post to learn how to make three types of CLV models: analytic aggregate CLV, analytic cohort-based CLV, predictive CLV using statistical models. a How do you know if your CLV metric is accurate? Not all CLV models are created equal. If you’re reviewing CLV from your organization or a vendor, start by asking yourself a few questions to see if the metric is accurate and useful. Is the CLV at the aggregate level or individual level? If it is aggregate, is it the mean or median? It’s pretty easy to calculate CLV at the aggregate level. Because most business use cases require individual level CLV, you’ll want a model that calculates CLV for each customer. Is CLV historic, predictive or some combination? If CLV is provided at the individual level, you want it to be predictive and not just historic. How much of CLV is already observed vs predicted future revenue/profit? The danger of using only future-predicted revenue is that you can no longer compare future-predicted revenue of a highly active current customer with a previous cohort of customers. Read more about the CLV questions you should be asking in this blog post . a What is the difference between CLV and LTV? Customer Lifetime Value is calculated at the individual level, while Lifetime Value is an aggregate metric. a Why is it important to calculate CLV at the individual level? The most popular and commonly used customer lifetime value (CLV) models benchmark their strength on aggregate metrics. However, these models are incredibly inaccurate at the individual level. This becomes an issue because most business use cases require a strong CLV model at the individual level. Aggregate CLV simply does not allow you to adjust who you’re targeting with re-engagement or acquisition efforts to maximize the benefits of each campaign. Read more about the importance of individual CLV in this blog post . a Can CLV change over time? Yes, customer lifetime value is not a static metric. It changes over time as you observe new data about a customer. Knowing this, you can adjust your retention and product strategies to increase customer lifetime value. Learn more about how CLV changes with time in this blog post . a How can CLV improve marketing strategies? Customer lifetime value is an important tool for marketers: CLV can help you target, retain, and provide exceptional service to your best customers. Once you know what attributes and behaviors make up your high-CLV customer, you can use that information to build lookalike audiences. Read more in this blog post . If you’re ready to start using CLV to inform your marketing strategy, start here . a Why is CLV important for segmentation? It’s relatively simple to segment your current customers by attributes and/or past behavior. But if you want to predict the future behavior of your customers, it’s better to segment by features and attributes that impact customer lifetime value. Read more about the process in this blog post . a What makes a customer high value? Customer lifetime value (CLV) is the metric leading companies use to understand their customers’ purchasing habits. Simply put, customers who purchase higher-value products, who purchase more frequently, and who continue to purchase on an ongoing basis are your high-CLV customers. a What should your CLV to CAC ratio be? Once you’ve calculated CLV, you can use it to determine your target customer acquisition cost (CAC). Instead of simply targeting customers that bring in high initial revenue, focus your acquisition efforts on high CLV customers. Even if their first purchase is small, they will bring your business more value in the future. A customer acquisition is unprofitably only if CAC exceeds CLV. For most businesses, your CLV to CAC ratio should be 3:1 for each marketing segment. If you spend too much (e.g. 1:1 ratio), acquiring those customers won’t be profitable. But if you spend too little (e.g. 7:1 ratio), you will be missing out on profitable customers whose acquisition cost is above your current bid cap. a How do you incorporate discounting when calculating the CLV? You can take your annual discount rate and turn it into a daily discount rate, and apply a discount factor, which is: 1 / (1 + X)^Y where X is the discount rate and Y is the time variable. a How do you determine the right time frame for churn? Typically, we compute the lifespan of every single customer using survival analysis. Once we’ve done that, you get a sense of what the longest life is of a customer. Based on that, you can choose the truncated time spans for computing customer lifetime value. We will typically calculate CLV for multiple year horizons, depending on the business. Sometimes, we will also compute full lifetime horizons as well. a Do Retina models go beyond RFM? Recency, frequency, and monetary value (RFM) is a simple method to determine customer value. Retina models take into account data beyond RFM, including demographic and behavioral attributes, customer journeys, quiz and session data, and more. All of these data points make up a comprehensive data set that allows us to use machine learning to impute missing values from messy data and make customer lifetime value predictions early in the customer journey. a What types of companies does Retina work with, and what data do I need to work with Retina? Retina works best with companies whose customers have repeat purchase behavior. This can include, but is not limited to: eCommerce, retail, CPG, financial services, healthcare, and even paid smartphone apps. In addition, customers ideally have 10,000 repeat purchases, 18-months or more worth of data, and customer identity resolution. Retina’s models use orders data and customer attributes, so we have integrations with Shopify as well as CDPs like mParticle or Segment to make data transfer a breeze. a In Customer Lifetime Value Product from Retina AI | Early CLV Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog The Predictive Customer Insights Platform Retina is your complete, self-serve solution for predicting, understanding, and acting on future customer behavior. Whether you’re trying to optimize customer acquisition costs or better understand which high-value customers are at risk, Retina has you covered. Unleash the Full Power of CLV Customer Acquisition Spend the right amount acquiring each customer based on their expected lifetime value. Customer Retention Predict and intervene when high-value customers are going to churn. Finance Accurately report on and forecast the value of your customer base, to make more accurate strategic decisions. Marketing Strategy Identify the customer segments and journeys that deliver the most value to your business. Customer Service Make sure you’re giving your future best customers the white-glove treatment. Product Learn which product launches and features are most important in attracting and retaining high-value customers. Key Features Retina Intelligence Provides 90+% accurate predictions of future customer value and behavior, giving you the confidence to create more. Integrations Make data ingress and egress a breeze. Whether you want to establish a two-way data pipeline to Snowflake or use CLV to measure and optimize Facebook campaigns, Retina has you covered with a wide range of powerful integrations. Data Explorer Your toolbox for lightning-fast analysis of customers, identifying which customer segments, channels, and attributes drive the most value. CLV Impact Directly understand which customer attributes are most directly impacting CLV. Quality of Customers Reports Generate fast and easy executive-level summaries of CLV trends, so that you can spend more time on actual analysis. Rest APIs Real-time access to customer CLV data to power workflows on your website or mobile app. Solutions for the Data-Driven Business Data Analytics & BI Teams Read More » CFOs & Financial Leaders Read More » Marketing Read More » Integrations & Partners Retina integrates directly with your data warehouse and the tools you already use with minimal configuration. We also partner with customer data and analytics platforms to make your workflow seamless. See Partnerships See Integrations See What Retina Can Do for You Are you ready to see what Retina can do for your business? Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention Marketing - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog How We Help Marketers Retina partners with marketing and growth leaders to improve targeting, acquisition, growth, and retention with early and accurate customer lifetime value metrics. Before Retina Problems growth marketers face: How to justify budgets with growing CPAs Who to target and which customers will purchase again How to acquire more profitable customers Ways to evaluate campaign effectiveness in real time, instead of waiting months for repeat purchase data What product offerings, messaging, and campaigns attract high-value customers With Retina Step 1 Decision & Integration Step 2 Insights & Action Step 3 ROI & Beyond 1. Decision & Integration Decide to partner with Retina Data ingest to deployment in 2 weeks or less Leverage integrations for fast data sharing Access to customer table by persona after 2 weeks 2. Insights & Action Understand high-value customer characteristics with Retina Personas Optimize campaign budgets in near real time End costly campaigns that bring in one-and-done customers Allocate more budget to campaigns that bring in high-value customers Overhaul marketing strategy to reduce acquisition costs and increase customer lifetime value 3. ROI & Beyond Increase customer lifetime value by 15% Reduce CPA by 7% company-wide Increase ad spend efficiency by 20% Understand what makes a customer high value Positively impact marketing as well as customer service and retention teams Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention Customer Lifetime Value Resources for Business Leaders - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog How to Calculate Customer Lifetime Value White Paper Learn how to calculate customer lifetime value (CLV) in 8 steps. Plus, discover why it’s important to calculate CLV at the individual level. How to Analyze Customer-Level Profitability White Paper Discover business use cases, required data sets, and common mistakes to avoid for a customer-level profitability analysis. Frequently Asked Questions a What is customer lifetime value? Customer Lifetime Value (CLV) is a metric that estimates how much value (usually revenue or profit margin) any given customer will bring to your business over the course of the total time they interact with your brand—past, present, and future. Customer Lifetime Value (CLV) is the single most important metric for you to know because it demonstrates who your best customers are and what they have in common. Using this metric effectively revolutionizes the approach to both acquisition and retention marketing, separating true industry disruptors from the rest of the pack. Think about it—how would your marketing, sales, and product strategies and budget allocations change if you could predict which audiences will remain loyal to your brand for years to come? And which will visit your site and make just one highly-discounted purchase before falling off the radar completely? What if you knew that some customers you are already planning to spend lots of your budget to retain actually aren’t likely to bring lots of value to your organization anyway? a How do you calculate customer lifetime value? There are many formulas available to calculate lifetime value. However, calculating predictive customer lifetime value at the individual level requires a complex model. The steps include: Locate the necessary data Forecast every existing customer’s behavior Split the data into two sets for training and testing Add customer features and attributes to the model Train and validate the model Put the model into production Read our whitepaper to learn 8 steps to calculate CLV. Check out this blog post to learn how to make three types of CLV models: analytic aggregate CLV, analytic cohort-based CLV, predictive CLV using statistical models. a How do you know if your CLV metric is accurate? Not all CLV models are created equal. If you’re reviewing CLV from your organization or a vendor, start by asking yourself a few questions to see if the metric is accurate and useful. Is the CLV at the aggregate level or individual level? If it is aggregate, is it the mean or median? It’s pretty easy to calculate CLV at the aggregate level. Because most business use cases require individual level CLV, you’ll want a model that calculates CLV for each customer. Is CLV historic, predictive or some combination? If CLV is provided at the individual level, you want it to be predictive and not just historic. How much of CLV is already observed vs predicted future revenue/profit? The danger of using only future-predicted revenue is that you can no longer compare future-predicted revenue of a highly active current customer with a previous cohort of customers. Read more about the CLV questions you should be asking in this blog post . a What is the difference between CLV and LTV? Customer Lifetime Value is calculated at the individual level, while Lifetime Value is an aggregate metric. a Why is it important to calculate CLV at the individual level? The most popular and commonly used customer lifetime value (CLV) models benchmark their strength on aggregate metrics. However, these models are incredibly inaccurate at the individual level. This becomes an issue because most business use cases require a strong CLV model at the individual level. Aggregate CLV simply does not allow you to adjust who you’re targeting with re-engagement or acquisition efforts to maximize the benefits of each campaign. Read more about the importance of individual CLV in this blog post . a Can CLV change over time? Yes, customer lifetime value is not a static metric. It changes over time as you observe new data about a customer. Knowing this, you can adjust your retention and product strategies to increase customer lifetime value. Learn more about how CLV changes with time in this blog post . a How can CLV improve marketing strategies? Customer lifetime value is an important tool for marketers: CLV can help you target, retain, and provide exceptional service to your best customers. Once you know what attributes and behaviors make up your high-CLV customer, you can use that information to build lookalike audiences. Read more in this blog post . If you’re ready to start using CLV to inform your marketing strategy, start here . a Why is CLV important for segmentation? It’s relatively simple to segment your current customers by attributes and/or past behavior. But if you want to predict the future behavior of your customers, it’s better to segment by features and attributes that impact customer lifetime value. Read more about the process in this blog post . a What makes a customer high value? Customer lifetime value (CLV) is the metric leading companies use to understand their customers’ purchasing habits. Simply put, customers who purchase higher-value products, who purchase more frequently, and who continue to purchase on an ongoing basis are your high-CLV customers. a What should your CLV to CAC ratio be? Once you’ve calculated CLV, you can use it to determine your target customer acquisition cost (CAC). Instead of simply targeting customers that bring in high initial revenue, focus your acquisition efforts on high CLV customers. Even if their first purchase is small, they will bring your business more value in the future. A customer acquisition is unprofitably only if CAC exceeds CLV. For most businesses, your CLV to CAC ratio should be 3:1 for each marketing segment. If you spend too much (e.g. 1:1 ratio), acquiring those customers won’t be profitable. But if you spend too little (e.g. 7:1 ratio), you will be missing out on profitable customers whose acquisition cost is above your current bid cap. a How do you incorporate discounting when calculating the CLV? You can take your annual discount rate and turn it into a daily discount rate, and apply a discount factor, which is: 1 / (1 + X)^Y where X is the discount rate and Y is the time variable. a How do you determine the right time frame for churn? Typically, we compute the lifespan of every single customer using survival analysis. Once we’ve done that, you get a sense of what the longest life is of a customer. Based on that, you can choose the truncated time spans for computing customer lifetime value. We will typically calculate CLV for multiple year horizons, depending on the business. Sometimes, we will also compute full lifetime horizons as well. a Do Retina models go beyond RFM? Recency, frequency, and monetary value (RFM) is a simple method to determine customer value. Retina models take into account data beyond RFM, including demographic and behavioral attributes, customer journeys, quiz and session data, and more. All of these data points make up a comprehensive data set that allows us to use machine learning to impute missing values from messy data and make customer lifetime value predictions early in the customer journey. a What types of companies does Retina work with, and what data do I need to work with Retina? Retina works best with companies whose customers have repeat purchase behavior. This can include, but is not limited to: eCommerce, retail, CPG, financial services, healthcare, and even paid smartphone apps. In addition, customers ideally have 10,000 repeat purchases, 18-months or more worth of data, and customer identity resolution. Ret Privacy Policy - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog PRIVACY POLICY Last Updated: August 11, 2022 Retina AI, Inc. (“Retina”) is the AI customer intelligence and insights platform built by analysts, for analysts, that empowers businesses to maximize customer-level profitability. This Privacy Policy describes how we collect, use, disclose, and otherwise process personal information of our business contacts, their employees and other representatives of our prospective and existing customers in connection with our websites and web applications (collectively, the “Services”). This Privacy Policy does not apply to personal information about authorized users of our services, and information about our customers’ end users (such as contact information and order history). We process this information on behalf of our customers, as instructed by them, in our capacity as a service provider. Our Services are designed for use by businesses and are not intended for personal or household use. 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We may disclose your personal information to professional advisors, such as lawyers, bankers, auditors and insurers, where necessary in the course of the professional services that they render to us. For compliance, fraud prevention and safety. We may share your personal information for the compliance, fraud prevention and safety purposes described above. Business CLV Scoring - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog CLV Scoring to Lower Costs of Acquisition Score customers and prospects with Retina’s predictive customer lifetime value. Use customer-level CLV to know what personas and segments to target for acquisition, churn, and retention. Learn More CLV Lead Scoring You are probably already attempting to segment leads by their potential value and adjusting your CAC accordingly. Maybe you’re trying to determine a prospect’s potential value based on website behavior, referrals, or UTM parameters — but those methods are fairly rudimentary. What if you could know the value of every lead? This is where Retina’s early CLV model comes into play. Early CLV, or eCLV, can predict a lead’s lifetime value even before they make their first purchase. Not only are these lifetime values available at the individual level, they can also be updated on a weekly, or even daily basis. With CLV Scoring, you can continuously re-allocate acquisition budgets towards the highest-value leads and create specific incentives to convince those leads to convert. Case Study Problem : Over spending on lead acquisition because you aren’t sure which leads are going to yield the highest value over their lifetime. Retina solution : Use Retina eCLV scores to predict lead LTVs and apply data-driven insights to update campaigns and optimize acquisition budgets. Baseline campaign design: Measure baseline average ROAS across all campaigns. Next, pick one campaign to test. Continuously score leads and update CPAs accordingly. After a month, compare this campaign’s ROAS to average ROAS. Results : You should generate a much higher ROAS on the campaign that was optimized using eCLV. ROI Tracking Cost Savings You can avoid wasting acquisition dollars and reduce CAC by not pursuing low-value leads. Increased Revenue You can encourage high-value prospects to convert, resulting in increased average order values and revenue. Opportunity Cost Don’t spend the same amount on every prospect. Focus on the leads that will generate the most revenue in the long run. How to Implement: High-value Recommendations for Marketing Calculate average ROAS. Pick a campaign to test. Score all leads using eCLV. Adjust CPAs to favor high-value leads. Re-run eCLV lead scores weekly and continue updating CPAs. Measure ROAS of test campaign after 1 month. If test produces better ROAS, apply method to all campaigns. Learn More Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention Academy - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog Customer Lifetime Value Academy Learn how to calculate, use, and apply Customer Lifetime Value (CLV) in your business. Welcome to the academy, click below to start your CLV journey! 5 courses 17 lessons Customer stories Start with the basics, then dive into how-to lessons, coding workshops, and practical applications. The Academy courses provide you with the knowledge and skills to start using customer lifetime value to optimize your marketing, sales, product, supply chain, and customer service strategies. Course 1 / 4 Lessons Introduction to Customer Lifetime Value Let’s start at the beginning. Customer Lifetime Value (CLV) is a metric that estimates how much value (usually revenue or profit margin) any given customer will bring to your business over the course of the total time they interact with your brand—past, present, and future. This course is an introduction to CLV for business analysts, c-suite executives, growth marketers, data scientists, and anyone in between. Lesson 1 10 min What Is Customer Lifetime Value? Lesson 2 8 min Why Calculate CLV at the Individual Level Lesson 3 15 min How to Collect, Organize, and Use Complex Customer Data Lesson 4 12 min Visualizations for Customer Lifetime Value Course 2 / 7 Lessons CLV Business Applications Customer Lifetime Value demonstrates who your best customers are and what they have in common. How would your strategies change if you could predict which audiences will remain loyal to your brand for years to come? This course provides business applications of CLV for acquisition, retention, product management, customer service, and more. Lesson 1 8 min Cross-Functional CLV Use Cases Lesson 2 17 min Lookalike Strategies Powered by CLV Lesson 3 6 min Optimize Your Marketing Budget Lesson 4 9 min CLV Migration Over Time Lesson 5 8 min Lifecycle Marketing Strategies Lesson 6 11 min CLV-Driven Product Insights Lesson 7 9 min Revamp Your Customer Service Course 3 / 5 Lessons Customer Lifetime Value Models Let’s get into the data science behind customer lifetime value. There are several ways to calculate CLV, with models differing in accuracy at the aggregate and individual levels. Some models require historical data, while others can predict CLV early in the customer journey. This course begins with the basics of customer lifetime value, then it dives deeper into various models for calculating and predicting CLV. Lesson 1 6 min CLV Basics Lesson 2 18 min Ways to Predict CLV Lesson 3 6 min History of Buy Til You Die (BTYD) Models Lesson 4 6 min Calculating CLV with R Lesson 5 9 min Supervised Machine Learning vs Bayesian Statistical Models Course 4 / 5 Lessons Success with CLV After calculating or predicting customer lifetime value, the next step is to share your findings with internal teams, stakeholders, or clients. This course includes tips for data science teams to measure model performance, share results, and improve decision making in the organization. Plus, learn how to use CLV for incrementality measurement. Lesson 1 7 min Strategies for Stakeholder Management Lesson 2 10 min A Framework for Marketing Decision Making Lesson 3 9 min Building Data Science Teams Lesson 4 4 min Incrementality Testing Basics Lesson 5 7 min Incrementality and Customer Lifetime Value Course 5 / 2 Lessons Beyond CLV You made it to the last course! By now, you know what customer lifetime value means and how to use it to solve problems in your business. What’s next? Let’s go beyond CLV and explore other areas of customer data science. In this course, you’ll learn about CLV-adjacent topics like time series, attribution, and customer segmentation. Lesson 1 13 min Customer Segmentation by Goal Lesson 2 8 min Cluster Messy Time Series Let’s start at the beginning. Customer Lifetime Value (CLV) is a metric that estimates how much value (usually revenue or profit margin) any given customer will bring to your business over the course of the total time they interact with your brand—past, present, and future. This course is an introduction to CLV for business analysts, c-suite executives, growth marketers, data scientists, and anyone in between. Lesson 1 10 min What Is Customer Lifetime Value? The very first course in the CLV Academy provides an overview of customer lifetime value. What is it? Why is it important? What problems can CLV solve for your business? You can dive deeper into many of these ideas in later lessons. Lesson 2 8 min Why Calculate CLV at the Individual Level The most commonly used customer lifetime value models benchmark their strengths on aggregate statistics. Yet, most business use cases for CLV require accuracy at the individual level. You can see the problem. Lesson 3 15 min How to Collect, Organize, and Use Complex Customer Data Are you ready to start using customer lifetime value metrics in your business? Start here. This lesson walks you through a useful checklist to start building a data platform to handle customer-level data and models. Lesson 4 12 min Visualizations for Customer Lifetime Value You can use customer lifetime value metrics across the organization, from marketing and sales to product and customer service. For cross-functional alignment, visualizations are a helpful tool to share customer data science with other teams. Customer Lifetime Value demonstrates who your best customers are and what they have in common. How would your strategies change if you could predict which audiences will remain loyal to your brand for years to come? This course provides business applications of CLV for acquisition, retention, product management, customer service, and more. Lesson 1 8 min Cross-Functional CLV Use Cases After calculating customer lifetime value at the individual level, what can you do with that information? This lesson provides an overview of cross-functional applications of CLV, from marketing and sales to product and customer service. Lesson 2 17 min Lookalike Strategies Powered by CLV Ad platforms allow advertisers to target new users with lookalike audiences. However, the out-of-the-box solution falls short because all of your customers aren’t alike. With customer lifetime value, you can create more effective lookalike audiences for acquisition. Lesson 3 6 min Optimize Your Marketing Budget Between acquisition and retention campaigns to content marketing and brand development, it’s difficult to know where to spend your limited marketing dollars. Individual customer lifetime value metrics take the guesswork out of budgeting so you can optimize your spend in real time. Lesson 4 9 min CLV Migration Over Time Customer lifetime value is not a static metric. It changes over time—sometimes dramatically—as you observe new data about a customer. By tracking how CLV changes over time, you can determine what product features, retention campaigns, customer service practices, and more impact lifetime value. Lesson 5 8 min Lifecycle Marketing Strategies Don’t over-optimize your retention strategy; rather, acquire the right customers in the first place. Design a marketing strategy for customers throughout their lifecycle, from acquisition to retention. Lesson 6 11 min CLV-Driven Product Insights You can use customer lifetime value metrics to enrich and inform your product marketing strategy. What if you knew which products high-value customers bought first? Or which products you should offer as a bundle or upsell? Lesson 7 9 min Revamp Your Customer Service Customer service and customer support teams are making the shift to focus on customer success or even customer experience. Instead of simply reacting to customer problems, customer success teams can use CLV to help identify and predict problems and offer potential solutions. Let’s get into the data science behind customer lifetime valu Retention Strategy - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog Retention Strategy Segment your customer base by expected churn date and customer lifetime value to improve your retention strategy. Learn More Boost Your Retention Strategy Are you retaining most of your customer base month over month? If the answer is no, do you know which of your customers are about to churn? How much are they worth? How much should you spend retargeting them? What if you could answer all of those questions with a high level of confidence? Retina can help companies segment their customer base based on churn risk and customer lifetime value. Case Study Problem : Your retention strategy isn’t bearing fruit and you have a high customer churn rate. Retina solution : Use Retina’s eCLV scores and churn prediction dates to retarget customers who have the most value and are the most at risk of churn. Baseline experiment design : Run an A/B test on a retention campaign to compare the results. Results : You should expect to see the retargeting campaign based on Retina’s predictions perform much better than your current campaign audience. ROI Tracking Cost Savings Save retention dollars that could be better spent on acquisition. Increased Revenue Drive higher average order values by focusing on getting the highest value customers to return. Opportunity Cost Stop wasting valuable dollars on customers who may never come back or on customers who were already going to come back. How to Implement: Recommendation Score all customers using eCLV. Determine the customers most at risk with the highest predicted LTV. Set up an A/B test where A is targeting the original population and B is targeting the Retina-derived population. Run the A/B test. If B performs better, apply this strategy across retention campaigns. Learn More Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention Key Terms - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog Key Terms: The ABCs of CLV Get definitions for commonly used terms and acronyms in the customer intelligence space. For more detailed resources, check out the CLV Academy. Go to Academy CLV Customer Lifetime Value (CLV) is a metric that estimates how much value (usually revenue or profit margin) any given customer will bring to your business over the course of the total time they interact with your brand — past, present, and future. LTV Lifetime Value (LTV) is the lifetime spend of customers in aggregate. LTV is an aggregate metric, unlike CLV, which is calculated at the individual-customer level. CAC Customer Acquisition Cost (CAC) is the total cost of acquiring a new customer. CAC is made up of your sales and marketing costs. CLV to CAC CLV to CAC is the ratio of Customer Lifetime Value to Customer Acquisition Cost. This metric helps you optimize your marketing campaigns to acquire profitable customers. Cohort A group of customers that behave similarly or share a defining characteristic. Churn Churn is the rate at which customers stop purchasing or doing business with your company. Persona A representation of a group of leads or customers with similar characteristics, features, and / or behaviors. Lookalike audience A group of people on a social network that are similar to a group of your existing customers, based factors like demographics, behavior, location, etc. Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention Optimize ROAS - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog Optimize ROAS With Predictive CLV Optimize your ROAS and acquisition costs in real time with early and predictive customer lifetime value (eCLV and pCLV) features. Gain insights into your best-fit customers and know who to target so your marketing team can optimize campaigns and budgets to maximize returns. Learn More Recommendations: Campaign Budget Optimization Strategic marketers are always looking for ways to optimize ad spend and ROAS. Each campaign will have a cost per acquisition (CPA) goal, but costs per click, not conversion, could drive up the CPA. Another issue plaguing marketing is that campaigns have to wait 30-, 60-, or even 90-days before campaign performance can be measured and adjustments made. This impacts acquisition costs and ROAS significantly. Retina eCLV and pCLV features empower data analysts and marketers so they can make intelligent choices about targeting and ad spend in real time. By optimizing campaigns for the highest-value targets, these teams can optimize ROAS and make positive business impacts. Case Study Problem : The client was not able to reliably adjust budgets or bid caps any faster than 60-days. Retina Solution : Score all customers with eCLV to create appropriate target CPAs for each campaign. Baseline Experiment Design : To demonstrate the accuracy of the eCLV developed targets, run a campaign using current method for computing target CPAs and compare to the Retina eCLV targets. Compare target CPAs from current method and target CPAs using eCLV to actual CPAs. Results : New CPAs from eCLV should start to line up with targets much faster than they did before, ultimately resulting in improved ROAS. ROI Tracking Cost Savings Optimizing CPAs can help you waste less money and time on low-value campaigns. Increased Revenue Quickly optimizing target CPAs of higher-value campaigns nets higher ROAS and conversion rates. Opportunity Cost Inaccurate target CPAs could cause you to spend too much on campaigns targeting low-value customers and not enough on campaigns targeting high-value customers. How to Implement Score all customers using eCLV and pick a campaign to test. Set up test A: Aggregate LTV up to the campaign level and use 1-year CLV to set target CPA. (Note: Do not make changes > 15% to avoid drastic changes to the auction.) Set up test B: Use the current methodology to set target CPA. Run campaign. Determine whether A or B had target CPAs closer to the actual CPA and calculate ROAS. If A test performs better / produces better ROAS, apply to all campaigns Get a Demo Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention The Early Customer Lifetime Value Solution | Retina Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog Predict Customer Lifetime Value From Day 1 Leading e-commerce and subscription brands use Retina AI to predict customer lifetime value and make more profitable decisions. Companies already using Retina “Retina’s Predictive CLV changed the behavior of our Acquisition/Growth and Finance teams on how they measured media payback and customer performance. The faster feedback loop enabled the Acquisition/Growth team to respond quickly and adjust media tactics to drive scale and profitability at the same time.” – Sujay Kar VP Strategic Analytics & Business Insights, Dollar Shave Club Power your business with Retina Get fast, reliable CLV Every deliverable related to 90%+ accurate CLV (scores, analytics, backtest & data explorer) is delivered within hours vs. months or years and at a fraction of the cost.   Gain a deeper understanding of your customers Access dashboards and reports that tell you which segments, customers, and attributes are high-performing and which are dragging down your business profitability.   Improve customer profitability Retina’s unique combination of predictive insights and integrations make it easy to identify and act to acquire and retain more high-value customers.   Generate more accurate forecasts Go beyond past customer behavior data and start building forecasts based on accurate predictions of future customer behavior and revenue. Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention Blog - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog Retina AI Blog Newsletter Sign-Up Featured Posts Strategy How Retina Solves the Facebook Attribution and ROAS Problems By focusing on first-party data to send predictive metrics like customer lifetime value and CLV:CAC ratios back to Facebook, advertisers can understand the long-term value of their customers from the point of first purchase. Read More Marketing 7 Questions Every Marketer Needs to Ask About Customer Lifetime Value Now Customer lifetime value (CLV or LTV) is a term that is used rather loosely in most organizations. When I first started working at PayPal, I… Read More Marketing 3 Secret Strategies for Superpowered Facebook Marketing via Customer Lifetime Value Are you finding it increasingly more expensive to acquire customers on Facebook? Are the customers you acquire spending less and threatening your profitability? We’ve seen… Read More Data Science Strategy What Is the Difference Between CLV and LTV? There are plenty of acronyms floating around the analytics space. It can be hard to keep track. Even with predictive customer metrics, we have LTV,… Read More Marketing Predicting CLV for Prospective Customers How Car Salespeople Figure Out Your Value to Them Have you ever noticed how car sales professionals try to estimate your financial worth with small… Read More Marketing Discussing Solutions For Facebook Attribution and ROAS Challenges Following IDFA Earlier this year, Apple began releasing iOS 14.5. This update prompted users to answer whether they would allow their data to be tracked for advertising… Read More Filter: All Data Science Engineering Marketing Strategy Filter by Category Marketing Data Science Strategy Engineering Marketing Retina AI Brings Customer Lifetime Value Analytics To Google Ads Retina AI announces integration with Google Ads, allowing customers to see which campaigns are most effective at reaching customers with high lifetime value.   LOS… Read More Marketing Are Third-Party Cookies Dying in 2023? Marketers are staring down the death of third-party cookies in 2023, and some people are panicking. History has a tendency of repeating itself. So, what… Read More Marketing Retina AI is a Built In Best Place to Work Recipient Retina AI is proud to announce we’ve been named as one of Built In’s 2022 Best Places to Work. Read More Marketing Strategy A Year in Blog Posts: The Most Impactful Marketing Developments in 2021 As 2021 comes to a close, we’ve collected our favorite blog posts that reflect on some of the biggest changes the marketing space encountered this year. Read More Marketing Strategy The Evolving Future of Crypto and NFTs in Facebook Advertising Facebook is the backbone of many brands’ customer acquisition strategy. After Facebook’s recent change allowing cryptocurrencies to advertise on their platform, marketers are left to wonder what this may mean for the future of Facebook advertising. Read More Marketing How Marketing Leaders are Adapting to the Changes in the Digital Landscape The digital marketing landscape is constantly evolving and changing, but arguably nothing has changed it more than Apple’s iOS 14.5 release in April of 2021.… Read More Marketing Strategy Securing Investors with Solid Metrics and Customer Relationships Raising capital is an exciting and challenging time for most organizations. Experts Andrew Dunst and Chris Hill answered attendee-submitted questions about how to attract potential investors during part one of our Financial Executive Series. Read More Marketing Strategy Tackling the Inevitable Inflation from the Holiday Supply Chain Shortage Inflation is dramatically affecting companies’ gross margins and their profitability. However, if you know how profitable your customers will be throughout the duration of your relationship, you can more intelligently determine how to tackle the problem of inflation. Read More Marketing Strategy How to Survive the Holiday Season During the Supply Chain Shortage The global supply chain has been devastated by the COVID-19 pandemic. We’re digging into all of the ways it will affect the holiday season and new year. Read More Posts navigation Older posts Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention Customer Lifetime Value Solutions from Retina AI | Early CLV Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog Solutions Built by Analysts, for Analysts Transform first-party customer data into insights that transform strategies into long-term success. Use predictive customer lifetime value as your North Star metric for immediate impact and results. Data is a Company's #1 Asset Retina solutions are built for Data Analyst teams to serve their internal customers. Use the models created by top Analysts to put your business above the competition. Who Retina Helps Data Analytics & BI Teams Apply insights and strategy recommendations for success Read more » Growth Marketing Optimize campaigns to win, keep, and grow customers Read more » CFOs & Finance Reduce costs and use data-driven decisions to impact profitability Read more » See How Retina Can Help Is it time for you to explore what you can achieve with Retina AI? Schedule a call with us and learn about our solutions to fit your business needs. Schedule a Call Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention Media - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog Media & Press Check out the media and press Retina AI gets covered in. September 23, 2025 ONAR Holding Corporation (OTCQB: ONAR), an AI-powered marketing technology company and growing agency network, today announced it has closed the acquisition of Retina AI, an AI-powered marketing intelligence platform known for early, individual-level customer lifetime value (CLV) prediction. The Retina transaction was structured as an all-stock, 100% preferred share deal and provides ONAR with Retina’s assets. Read More March 23, 2022 How do you measure success? For most businesses, the answer to that question has been growth. Growth of customers, users, revenue, etc. Not all growth is created equal, however. We have all seen businesses grow at incredible rates and then fall apart just as quickly. So, what growth metrics should we be paying attention to and how should that impact the ways in which we drive growth? Read More March 21, 2022 Google today announced that Google Analytics will stop logging IP addresses and the company plans to sunset its legacy Universal Analytics product in a privacy standards overhaul. In its place, Google will introduce Google Analytics 4 (GA4). Universal Analytics (UA) will be shuttered entirely by July 2023. Its replacement, GA4, will be able to accommodate both web and app data collection and comes with built-in privacy features. Read More March 17, 2022 A potential agreement between TikTok and Oracle would bar the social platform’s Chinese parent company ByteDance from accessing US consumer data. The move promises greater data privacy and may also bolster the social platform’s advertising brawn. Here’s what you need to know. Read More February 18, 2022 Facebook was long one of the surest bets in digital advertising. No longer. Martha Krueger, who runs a gift-basket business called Giften Market, used to spend her entire advertising budget on Meta Platforms Inc.’s Facebook and Instagram. She picked up a new customer for every $14 she spent. Read More February 14, 2022 For online marketers, getting advertisements in front of internet users likely to become long-term customers is crucial to the success of a campaign. To that end, Santa Monica-based startup Retina AI Inc. is developing technology that gives companies the ability to predict whether a specific web user might be likely to respond to an ad — and report whether they already have in the past. Read More February 1, 2022 LOS ANGELES , Feb. 1, 2022 /PRNewswire/ — Retina AI , the leading predictive customer lifetime value (pCLV) intelligence company today announced an integration with Google Ads, allowing customers to track how effective their advertising campaigns are in acquiring customers with high lifetime value to brands. Read More January 11, 2022 Philadelphia, PA—January 11, 2022—Today, the Business Intelligence Group named 13 executives, 56 companies, and 81 products as leaders and winners of the 2022 BIG Innovation Awards. This annual business awards program recognizes organizations, products, and people that are bringing new ideas to life in innovative ways. Read More January 5, 2022 Built In today announced that Retina AI was honored in its 2022 Best Places To Work Awards. Specifically, Retina AI earned a place on the 50 Best Small Companies to Work For in Los Angeles, CA. Read More Facebook on Wednesday announced its decision to reverse long-standing policy that prevented most cryptocurrency companies from running ads on its services. The move comes after the company, which is now called Meta, tried and failed to launch a cryptocurrency that could be used to send money online to anyone in the world via Facebook products. The head of Facebook’s cryptocurrency efforts, David Marcus, announced on Tuesday that he will be leaving the company at the end of the year. Read More November 30, 2021 Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this new regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace. Read More November 30, 2021 The supply chain challenges couldn’t come at a worse time for businesses. After a slower-than-average holiday season last year due to the pandemic, suddenly businesses are faced with supply chain slowdowns that make it difficult for them to deliver their products to customers in a timely fashion. Read More October 29, 2022 The environment is changing rapidly for marketers. With the new privacy-focused iOS updates from Apple and Chrome eliminating third-party cookies in 2023 – among other changes – marketers are having to adapt their game to fit with new regulations. One of the big changes is the increasing value found in first-party data. Brands must now rely on opt-in and first-party data to help drive campaigns. Read More November 16, 2021 The privacy updates of iOS 15 have changed the game for marketers. Brands have been relying on funnels and retargeting to drive people to their websites using lookalike audiences. Essentially, when a prospect lands on a brand’s website or app they were put into a retargeting pool based on a Facebook pixel or IDFA but iOS 15 is now asking for an explicit opt-in from customers to provide this information. November 8, 2021 In light of the iOS privacy changes making digital advertising increasingly expensive, here are three actionable insights that business leaders can use to attract loyal customers this holiday season. Read More September 29, 2021 Major tech companies like Apple and Google are notorious for making updates to their systems that leave marketers scrambling to adjust their advertising and marketing strategies. On June 7, Apple announced the latest update for iPhone, iOS 15. Read More June 29, 2021 Business Insider caught up with Cofounder and CEO Emad Hasan who shared the investor deck that helped raise Retina’s recent Series A round led by Alpha Intelligence Capital and Vertical Venture Partners. Read More June 29, 2021 Retina, the leading predictive customer lifetime value intelligence company, today announced it raised an $8 million Series A to transform how high-growth brands acquire, retain and expand their most valuable customers. Read More February 24, 2021 LA TechWatch caught up with Cofounder and CEO Emad Hasan to learn more about the company’s mission to democratize the access to data that drives high-value sales, future plans, the LA Tech ecosystem, and more. Read More January 28, 2021 For customer lifetime value calculations, rough estimates don’t cut it anymore. Read More January 7, 2021 Madison Reed and Brickell Men’s Products Among Those Already Using Retina Insight for Predictive Customer Lifetime Value Analytics to Capture More Profitable Customers. Read More January 7, 2021 Retina launched a tool that builds personas for new customers before they make their first purchase so brands can optimize their marketing more quickly. Read More September 14, 2020 Retina partners with mParticle to improve customer experience with CLV. With the integration, Retina can provide early and accurate customer lifetime value metrics to the mParticle platform. Read More August 13, 2020 Retina Partners with Databricks to Drive Business Value with Unified Data Analytics. Retina delivers early and accurate customer lifetime value metrics powered by the Databricks platform. Read More February 4, 2020 Retina announcing on Techcrunch our latest round of funding Read More January 24, 2020 Kauffman Fellows features Retina AI, and how Retina uses CLV for company valuation. Read More January 21, 2020 Retina makes Built in LA’s Top 5 CFO - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog CFOs & Financial Leaders Retina’s solution helps finance leaders use data-driven insights to improve growth, allocate budgets, and evaluate over all customer and company health. Learn More Before Retina Problems CFOs and Finance face: How to justify budget allocations based on company performance What customer segments will support long-term growth Ways to tell the company’s financial health story Why growth has increased or decreased How to plan for future growth With Retina Step 1 Decision & Integration Step 2 Insights & Action Step 3 ROI & Beyond 1. Decision & Integration Decide to partner with Retina Data ingest to deployment in 2 weeks or less Leverage integrations for fast data sharing Access to customer table by chance of lapse after 2 weeks 2. Insights & Action Determine what actions bring in new customers with high-brand loyalty Deprioritize low-value initiatives and customer segments Re-evaluate the customer base using customer lifetime value Focus acquisition spend on high-value customers and fire low-value customers Find new strategic initiatives that prioritize high-value customer segments 3. ROI & Beyond Reduce average CAC and improve retention and customer lifetime value Improve company’s CLV:CAC ratio by 100% Reallocate budgets to emphasize unit economics and brand equity Generate smarter long-term revenue projections Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention Customer Lifetime Value Company | Retina Careers Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog Join a Team of Innovators Retina is a venture-backed disruptor looking for out-of-the-box thinkers to shape the future of our company. Find out what it takes to join the team. Open Positions Who We're Looking For Self Starters We’re all about taking initiative. If you enjoy identifying challenging problems and figuring out how to solve them, then Retina is the place for you. Collaborators No hard stances. We prefer good listeners who know that constructive feedback is important, and that asking for help is not only acceptable, but a strength. Innovators We pride ourselves on being ahead of the market. We’re looking for scrappy, technology-oriented teammates who innovate at every turn. Why You'll Love Working Here Ownership Take ownership of products, client relationships, and the trajectory of your role. Working in a startup means you’re a vital member of a small team — and your work will definitely be noticed. Exciting Challenges Our product is solving business challenges in new and exciting ways. You’ll deliver capabilities companies don’t even know they need yet, and learn amazing things along the way. Innovation Your coworkers will be the type of people who take risks, welcome new perspectives, and live for great new ideas. Learn how to approach problems differently and with agility. Unlimited Opportunities Encounter endless opportunities that fall outside of your wheelhouse. At Retina, you will try out new skills and gain valuable experience that puts you on a career path you love. Great Culture You can always rely on your team. Our culture is all about learning, growing, and working together to build something great. Find out what it’s like to work with the best. Diversity is in Our DNA We’re creating a robust product for a diverse world, that’s why we’re looking for the brightest talent from all ethnicities, genders, education levels, age groups, and sexual orientations. We want out-of-the box thinkers like you, whoever “you” are — diversity is in our values and DNA. Open Positions Supportive Culture “Retina has been the best place I’ve ever worked at. The people we attract and help grow are some of the most gifted, talented, and equally supportive people I’ve ever worked with. There is something about our culture and atmosphere that brings out seemingly everyone’s best work or capabilities. I’m truly honored to have been chosen to be a part of this family.” Value & Trust “Retina AI is a workplace that values their employees above all else. They hire talented and intelligent people who work as a team to hit the organization’s goals. They trust us to make choices on behalf of the company in our areas of expertise, and we have support from the top down. No one is too good to jump in and help each other.” Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention Benchmark CLV Report - Retina.ai Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog CLV Benchmark Report Welcome to Retina.ai’s Interactive CLV Benchmark Report, here you will be able to explore different e-commerce KPIs for specific companies and competitors! Try the Report Now We have compiled a list of the top companies in the United States for each industry, and have calculated KPIs for each of them, including AoV and first-year CLV. This benchmark report is compiled from a panel of 10 million anonymized (privacy safe) US consumers’ credit card and bank statements. While this doesn’t represent exact metrics from these companies, our experts agree they line up with the current market. Below you can explore different industries and the various companies associated with them. In the report, you can see the definitions of each metric by clicking or hovering over them . If you do not see a specific company you are looking for, or are looking for further information on how to calculate CLV contact us and we will be happy to help. Contact Us Metrics Definitions: AoV: Average order values is the mean of all the orders from this merchant. Avg. Order per Customer is the average number of orders a person has made in the last 3 years. 1-yr CLV: The average amount a person will spend in their first year. 2-yr CLV: The average amount a person will spend in their first 2 years. % Digital Purchase: The percentage of purchases that were made online. % Offline Purchase: The percent of purchases that were made in-person. CLV Index: The index of how a company’s 1 year CLV compares to the industry average. Number above 100 indicates the merchant is beating the average and anything below 100 indicates they are below the industry average.     CLV Segmentation: In this section, we use Retina’s predictive field to segment the user base into high/low CLV and their churn behavior based on their transactional purchasing behavior. Lapsed – customer no longer is purchasing from this vendor At-Risk – customer has made a transition somewhat recently but is as the risk of churning Active – the customer is active and will most likely make a transaction. Low to Mid – Bottom 80% of the 1 year CLV values High – Top 20% of the 1 year CLV values Don’t see on of your competitors or want to learn how to measure you CLV? Get in contact with us and we would love to discuss. [hubspot type=form portal=8258994 id=38bbfabb-3b36-4f0d-9834-6d1f11b944f7] Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention Early Customer Lifetime Value Company | Retina AI Product Resources Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention CLV Academy FAQs Key Terms CLV Interactive Benchmark Retina Blog Our Mission is to Help You Connect the Dots We empower you to discover, operate, and evolve around CLV as the primary metric for customer and business health. Connect predictive customer-level metrics to acquisition, retention, customer success, and more. In the Media Profitability, CLV & Retina's Models For consumer businesses, 30-50% of customers are unprofitable. This is one of the biggest problems that no one fully owns, so we set out to find the solution. Watch our short video to learn about Retina, our approach to profitability, and the models we are building to tackle this challenging issue. Three Core Values Inspire Our Work Collaboration Add value during executive presentations, board meetings, and strategy discussions with predictive customer intelligence from Retina. Trust With customer data, trust is paramount. We adhere to strict data guidelines and never share, sell, or distribute your data, ever. Insight At the heart of our models is a deep understanding of customer behavior. You can use predictive CLV to optimize every point in the customer journey. Solutions Media About Us Careers Explore Retina! Follow Us: [email protected] | Onar Holding Corporation © 2026 Retina AI Inc. | Privacy Policy × Subscribe to CLV Insider Get the newsletter on all things customer lifetime value. [ninja_form id=22] × Search for: By Function Data Analytics Marketing CFO By Business Need Optimize ROAS CLV to Reduce CAC Customer Retention