Customer Lifetime Value (CLV): The Ultimate Guide to Boosting Profitability

Acquiring a new customer is significantly more expensive than retaining an existing one, often costing 5 to 25 times more. This foundational truth in marketing underscores the need for a smarter, more sustainable growth strategy in today’s competitive digital landscape.

Customer Lifetime Value (CLV), often referred to as LTV, is the total net profit a company can expect from a single customer account throughout their relationship with the brand. This metric shifts focus from short-term transactions to long-term relationships, emphasizing loyalty and repeat business.

indigitall provides a comprehensive platform to enhance CLV by connecting with customers across multiple channels, such as App Push and WhatsApp, from a single console. This integration is crucial for building personalized Customer Journeys and maximizing lifetime value.

Key Takeaways

• Cost Efficiency: Retaining customers is significantly cheaper than acquiring new ones, emphasizing the importance of CLV.
• Long-Term Focus: CLV shifts business strategy from short-term transactions to long-term relationships.
• Strategic Advantage: A unified platform like indigitall enhances CLV by integrating communication channels.
• Profitability Driver: High-CLV customers contribute to sustainable profitability through repeat purchases.

Executing these advanced strategies requires a powerful, unified technology partner. This is why we built indigitall—a comprehensive platform designed to help you orchestrate a true Global Omnichannel Strategy. By seamlessly connecting with customers via App Push, Web, WhatsApp, and more from a single console, you can build the personalized Customer Journeys that are essential for maximizing lifetime value.

What is Customer Lifetime Value (CLV)?

Discover how AI chatbots can enhance customer engagement and ultimately impact your CLV by checking out this insightful video from indigitall.

Customer Lifetime Value (CLV) is a predictive metric that represents the total net profit from a single customer over their entire relationship with your brand. It shifts focus from short-term gains to long-term profitability and customer health.

CLV answers the critical question: What is the total worth of this customer to our business over time? Understanding this is foundational to sustainable growth.

For example, a local coffee shop benefits more from a regular customer than a one-time tourist, highlighting the importance of tailored engagement strategies for different customer types.

CLV is primarily influenced by three core components. Mastering these levers is the key to maximizing profitability:

• Average Purchase Value (APV): This is the average amount a customer spends in a single transaction. Increasing APV through strategic upselling and cross-selling recommendations is a direct path to boosting immediate revenue and long-term value.
• Purchase Frequency (F): This measures how often a customer makes a purchase within a specific period. A successful Global Omnichannel Strategy, using channels like App Push for flash sales and WhatsApp for replenishment reminders, can dramatically increase how often your best customers return.
• Customer Lifespan (L): This is the length of time a person remains an active customer before they churn. The longer you retain a customer through personalized communication and valuable Customer Journeys, the more opportunities you have for them to make repeat purchases, increasing their total lifetime value.

These components are not isolated; they are deeply interconnected. A seamless experience that boosts purchase frequency also builds loyalty, which extends the customer lifespan. Orchestrating these moving parts across a fragmented digital ecosystem is a monumental task, highlighting the strategic advantage of an all-in-one platform where data and communication channels work in perfect harmony.

Customer Lifetime Value (CLV) is the most critical growth metric in 2026, driving sustainable, long-term profitability. It shifts focus from short-term metrics like clicks to a relationship-centric model.

By prioritizing CLV, businesses make smarter decisions across marketing, product development, and customer service. This focus on long-term value creation over transactional wins is key to resilience and profitability.

CLV helps identify high-value customers, optimize marketing spend, and improve customer retention, making it the north star metric for growth.

The Ultimate Health Check: LTV:CAC Ratio

The LTV:CAC ratio is a crucial indicator of your business model’s viability, measuring marketing efficiency and scalability. It compares Customer Lifetime Value (LTV) to Customer Acquisition Cost (CAC).

A healthy ratio, typically 3:1, indicates that you generate significantly more revenue from customers than it costs to acquire them. Falling below this benchmark may signal overspending on acquisition or poor customer retention.

Platforms like indigitall provide tools to track and improve these metrics, enhancing customer lifecycle and boosting LTV through personalized engagement.

How to Calculate Customer Lifetime Value

Calculating Customer Lifetime Value isn’t a one-size-fits-all process. The method you choose depends on your business model, the data you have available, and the level of precision your strategy requires. There are numerous models, ranging from simple historical calculations to complex predictive algorithms.

To get started, let’s explore two of the most common and effective models that your team can implement today.

1. The Simple (or Historic) CLV Model

The Simple CLV Model calculates customer value based on past data, offering a crucial baseline for understanding your customer base. It is straightforward but not predictive.

The formula involves multiplying key averages: Average Purchase Value, Purchase Frequency, and Customer Lifespan. This model is excellent for a quick health check but assumes static customer behavior.

For example, a retail brand might calculate CLV by considering average purchase value, frequency, and lifespan to derive a baseline figure for strategic planning.

“indigitall’s easy-to-use tools and supportive technical team make it a valuable resource for non-technical clients needing simple push notification solutions.” – Patricia V. on G2

2. The Predictive CLV Model

The Predictive CLV Model uses analytics to forecast total revenue from a customer, aiding strategic planning and personalization. It is forward-looking and powerful.

This model incorporates metrics like churn rate and profit margin, requiring clean, unified data for accuracy. An all-in-one solution like indigitall enhances precision by integrating data and communication channels.

For instance, a subscription service might use predictive CLV to identify valuable customer segments and tailor Customer Journeys to maximize their potential.

The accuracy of this model hinges on having clean, unified data. This is where an all-in-one solution becomes a game-changer. Tracking metrics like Purchase Frequency, which is influenced by your omnichannel campaigns (App Push, Web Push, WhatsApp), and Churn Rate, managed through automated re-engagement Customer Journeys, is far more precise within a single ecosystem like the indigitall console.

Let’s look at an example for a subscription service:

• Average Monthly Revenue per Customer: €30
• Gross Margin: 70% (or 0.70)
• Monthly Churn Rate: 5% (or 0.05)

Calculation: (€30 x 0.70) / 0.05 = €21 / 0.05 = €420 CLV

By using a predictive model, you can identify your most valuable customer segments before they’ve even reached their peak spending, allowing you to create tailored Customer Journeys that maximize their potential from day one.

The Simple CLV Formula

The Simple CLV Formula offers a foundational snapshot of customer health, crucial before exploring complex models. It is an excellent starting point for businesses.

This formula multiplies three key metrics: Average Purchase Value, Purchase Frequency, and Customer Lifespan. Improving any of these variables directly increases CLV.

For example, enhancing purchase frequency through targeted promotions can significantly boost CLV, providing a baseline for strategic decisions.

A Practical Example: Online Fashion Retailer

An e-commerce fashion store can calculate its simple CLV by analyzing key metrics from its 2026 data. This practical example illustrates the process.

Step 1: Calculate Average Purchase Value by dividing total revenue by the number of orders. Step 2: Determine Purchase Frequency by dividing orders by unique customers. Step 3: Establish Customer Lifespan from historical data.

Using these steps, the store can derive a CLV figure, providing insights into customer value and guiding strategic decisions.

Now, let’s put it all together using the formula:

CLV = €50 (APV) x 4 (APF) x 3 (ACL) = €600

This calculation reveals that the average customer is worth €600 in revenue to your business over their entire relationship with your brand. This simple figure is incredibly powerful. It provides a baseline to measure the impact of your marketing efforts and helps you make smarter decisions about customer acquisition costs.

While this model is an essential first step, it looks backward at historical data. To truly get ahead, you’ll need to move towards predictive models that forecast future behavior—a process made far more efficient within an all-in-one platform where data from every channel contributes to a single, unified customer view.

The Predictive CLV Model

Predictive CLV models use AI and machine learning to forecast future customer behavior, offering greater accuracy than historical models. They analyze past transactions and engagement data.

These models incorporate variables like churn rate and discount rate, providing a realistic and actionable CLV figure. indigitall’s platform integrates this intelligence into the marketing ecosystem, transforming complex data into intuitive tools.

For example, identifying “High-Value, High-Risk” customers allows for immediate retention-focused actions, enhancing CLV through proactive engagement.

Historically, building and maintaining these models required a dedicated data science team and significant technical resources. However, the landscape in 2026 has fundamentally changed. The rise of Accessible AI means this predictive power is no longer limited to enterprise giants.

Platforms like indigitall embed this intelligence directly into the marketing ecosystem. Our indigitall AI engine works seamlessly within the indigitall console, automatically processing your customer data to identify and segment users based on their predicted lifetime value and churn risk. This transforms complex data science into an intuitive marketing tool.

Imagine automatically identifying a segment of “High-Value, High-Risk” customers. With an integrated solution, you can immediately orchestrate a retention-focused Customer Journey. This could involve triggering a personalized WhatsApp message with a loyalty offer or a targeted App Push notification highlighting new features, all as part of a cohesive Global Omnichannel Strategy designed to maximize retention.

By unifying predictive analytics with marketing automation channels in a single platform, indigitall empowers your team to act on insights instantly. You can move from prediction to action without friction, driving proactive engagement and maximizing profitability across your entire customer base.

indigitall offers five powerful strategies to enhance Customer Lifetime Value, leveraging our unique platform capabilities. From hyper-personalization to AI-driven support, these strategies are designed to transform customer interactions into lasting, profitable relationships.

Understanding the theory behind CLV is the first step. The next is putting it into action. Driving meaningful growth in customer lifetime value requires a powerful technology stack capable of orchestrating personalized, timely, and relevant communications across every touchpoint. This is where indigitall becomes your engine for growth.

Here are five proven strategies you can implement today using the indigitall platform to directly increase your CLV.

1. Master Hyper-Personalization at Scale

Generic, one-size-fits-all messaging no longer cuts it. To increase Average Order Value (AOV) and purchase frequency, you must deliver experiences that feel uniquely tailored to each individual. The indigitall platform connects to your data sources, enabling you to segment audiences based on behavior, purchase history, and preferences.

Use our Customer Journey builder to send dynamic Push Notifications with product recommendations based on a user’s last viewed item, or trigger an In-App Message with a special offer when they add an item to their cart. This level of personalization makes customers feel understood, fostering loyalty that translates directly to higher CLV.

2. Design Seamless Omnichannel Onboarding Journeys

A customer’s first few interactions with your brand are critical for long-term retention. A strong onboarding process dramatically reduces early-stage churn. With indigitall, you can design a Global Omnichannel Strategy for new users that guides them to their “aha!” moment quickly and effectively.

Imagine a welcome Customer Journey that starts with an App Push highlighting a key feature, followed by a WhatsApp message with a helpful tutorial video, and concludes with an email summarizing the benefits. By orchestrating this experience from a single console, you create a cohesive and supportive introduction that builds a foundation for a long and profitable relationship.

“The Push integration product is user-friendly and customizable, with excellent support and a robust API for seamless application integration.” – Francisco C. on G2

3. Deploy AI Agents for Proactive Support & Engagement

Discover how indigitall’s AI Agents can reshape customer interactions in this insightful overview of proactive support solutions.

In 2026, customer service is no longer just a reactive cost center; it’s a proactive driver of loyalty and retention. Poor support experiences are a primary cause of customer churn. indigitall’s AI Agents, deployed on channels like WhatsApp Business, provide instant, 24/7 support to resolve queries, track orders, and answer FAQs without human intervention.

This immediate assistance improves customer satisfaction (CSAT) and frees up your human agents to handle more complex issues. The result is a frictionless support ecosystem that makes customers feel valued and less likely to switch to a competitor, directly protecting and enhancing your CLV.

4. Boost Loyalty with a Dynamic Mobile Wallet Strategy

The native Mobile Wallet on smartphones is one of the most underutilized but powerful channels for driving repeat purchases. indigitall empowers you to create and distribute digital loyalty cards, coupons, and event tickets directly to Apple Wallet and Google Wallet.

This strategy keeps your brand literally in your customer’s pocket. You can send real-time updates directly to the lock screen—like a change in loyalty points or a reminder that a coupon is expiring. Even better, you can trigger location-based notifications to remind users of their available rewards when they are physically near one of your stores, creating a powerful incentive for repeat business.

5. Automate Re-Engagement to Minimize Churn

Winning back a dormant customer is significantly more cost-effective than acquiring a new one. The indigitall console makes it easy to identify at-risk users and automate win-back campaigns. Set up triggers based on inactivity (e.g., “last app open > 30 days”) to automatically enroll users in a re-engagement Customer Journey.

This journey can orchestrate a series of messages across their preferred channels, from a rich push notification with a compelling “We Miss You” offer to a personalized WhatsApp message asking for feedback. By automating this process, you create a safety net that actively reduces churn and recovers potentially lost revenue, giving a crucial boost to your overall CLV.

Disjointed communication strategies erode customer loyalty, highlighting the need for unified support and marketing.

A seamless Customer Journey connects inbound support with outbound marketing.

By leveraging a platform with a complete view of every touchpoint, businesses can ensure relevant, timely, and context-aware messaging. This transforms customer service from a cost center into a powerful loyalty driver.

For instance, resolving a support query with an AI Agent can trigger a personalized offer, reinforcing brand loyalty and incentivizing the next purchase.

“indigitall unifies communication channels, offering solutions like AI chatbots and push notifications to enhance customer interaction efficiently and economically.” – Pedro María P. on G2

See how it works with indigitall:

• The Scenario: A customer interacts with an AI Agent on your website to track a delayed package. The chatbot, powered by indigitall, quickly provides the updated delivery information, successfully resolving the query.
• The Omnichannel Flow: The indigitall platform recognizes this positive support resolution. It automatically triggers a multi-step, omnichannel sequence orchestrated from a single console.
• Step 1 (WhatsApp): Thirty minutes later, a WhatsApp message is sent asking, “How was your support experience today? Please rate it 1-5.” This immediate feedback loop shows you value the customer’s time and are committed to service excellence.
• Step 2 (App Push): Based on a positive rating, the system waits 24 hours and then sends a targeted Push Notification: “We’re glad we could help! As a thank you for being a valued customer, here’s 15% off your next order.”

This seamless flow turns a moment of potential friction into an opportunity for delight. By intelligently connecting support and marketing within a global omnichannel strategy, you not only solve a problem but also reinforce brand loyalty and directly incentivize the next purchase, maximizing Customer Lifetime Value.

2. Master Engagement with Native WhatsApp Integration

In 2026, the digital landscape is more crowded than ever. Your customers’ inboxes are overflowing, and traditional ad channels struggle to cut through the noise. This “channel fatigue” leads to plummeting open rates and diminished ROI, making it incredibly difficult to foster the lasting relationships that drive high Customer Lifetime Value.

The solution is to meet customers on their own terms, on the channels they actively use and trust. WhatsApp has emerged as the global leader for personal communication, offering a direct, conversational, and highly engaging environment. By shifting high-value interactions to this platform, you move from monologue to dialogue, building trust with every message.

This is where indigitall provides a decisive advantage. Our platform features a deep, native integration with the official WhatsApp Business API, enabling you to orchestrate rich, two-way conversations at scale directly from the indigitall console. This isn’t just about sending messages; it’s about creating interactive experiences that boost CLV.

Leverage our seamless WhatsApp integration to:

• Automate Transactional Alerts: Instantly send rich media messages for order confirmations, shipping updates, and delivery notifications, reducing customer anxiety and support tickets.
• Drive Conversions with Personalization: Share personalized product recommendations, back-in-stock alerts, and exclusive offers based on user behavior, prompting immediate action and repeat purchases.
• Provide Instant, 24/7 Support: Deploy AI-powered chatbots to handle common queries, check order statuses, or process returns, freeing up your human agents for more complex issues.
• Recover Abandoned Carts: Re-engage potential buyers with timely, helpful reminders and incentives directly in WhatsApp, a channel with significantly higher open rates than email.

By transforming routine touchpoints into valuable, convenient interactions, you build powerful brand loyalty. Each positive experience on WhatsApp reinforces customer trust and encourages them to choose you again and again, directly increasing their lifetime value.

Most importantly, WhatsApp doesn’t exist in a vacuum. With indigitall, you can weave these powerful conversations into a Global Omnichannel Strategy. A Customer Journey can begin with a Web Push notification, continue with an in-app message, and culminate in a support conversation on WhatsApp—all managed and tracked from a single, unified platform.

3. Personalize at Scale with Accessible AI

The long-standing dream of marketing has always been true one-to-one personalization. However, manually analyzing user data, creating micro-segments, and tailoring individual messages is a monumental task that is simply not scalable for modern enterprises dealing with millions of customers.

This is where Artificial Intelligence transforms from a buzzword into your most powerful asset for boosting CLV. The expectations for personalization in 2026 are higher than ever, and AI-driven automation is the key to meeting them. It empowers marketing teams to orchestrate hyper-relevant experiences without needing a dedicated team of data scientists.

Within the indigitall console, our integrated AI engine works behind the scenes to help you make smarter, faster decisions. It moves beyond basic rule-based segmentation to a predictive and automated model of engagement. Here’s how it works:

• Predictive Sending: Forget generic send times. Our AI analyzes each user’s historical engagement patterns—when they open apps, click links, and make purchases—to determine the optimal moment to deliver a message. This ensures your communication arrives when each individual user is most likely to act.
• Intelligent Segmentation: The indigitall AI automatically groups users into valuable, dynamic segments. It can identify audiences like ‘High-Value Customers,’ ‘At-Risk of Churn,’ or ‘Likely to Convert,’ allowing you to proactively tailor your Customer Journeys to nurture, retain, or convert these groups with precision.
• Optimized Content and Channels: Our system can suggest content variations or even the most effective channel for a specific campaign. By understanding user preferences, it helps you decide whether a Push Notification, a WhatsApp message, or an In-App message will drive the best results as part of your Global Omnichannel Strategy.

By leveraging an all-in-one solution where AI is natively integrated, you remove the complexity and data silos. You can effortlessly deliver the right message at the perfect time on the preferred channel, building the kind of seamless, personalized relationship that directly translates into higher customer loyalty and maximized lifetime value.

4. Perfect the Onboarding Experience

First impressions are everything. A customer’s initial interactions with your brand are one of the strongest predictors of their future loyalty and total lifetime value. A confusing or silent onboarding process is a direct path to early churn, preventing users from ever discovering the core value you provide.

The solution is to move beyond a single welcome email and orchestrate a multi-channel, automated onboarding flow. The strategic goal of this Customer Journey is to guide new users to their ‘aha!’ moment—the point where they personally experience your product’s key benefit—as quickly and seamlessly as possible.

With a unified platform like indigitall, you can design and execute this critical sequence without juggling multiple disconnected tools. All channels work in concert, orchestrated directly from the indigitall console to create a cohesive and impactful experience.

Here’s what a powerful, CLV-focused onboarding journey looks like in action:

• Step 1: The Instant Welcome. The moment a user registers, an automated welcome email is sent. This isn’t just a confirmation; it sets expectations, provides essential next steps, and makes the customer feel seen.
• Step 2: The Guided Tour. On their first login, a series of In-App or Web Push messages activates, creating an interactive tour of your platform’s most important features. This hands-on guidance is crucial for driving adoption and showcasing value.
• Step 3: The Proactive Check-in. After three days, a personalized WhatsApp message is triggered to offer help. This conversational touchpoint feels personal, breaks down communication barriers, and allows you to resolve any early friction before it leads to frustration.

This sequence is a perfect example of a Global Omnichannel Strategy at work. By intelligently combining email, in-app guidance, and conversational channels like WhatsApp, you build a strong foundation for retention and maximize customer lifetime value right from the start.

5. Build Loyalty with Seamless Digital Experiences

In 2026, the battle for customer loyalty is won or lost on convenience. Traditional loyalty programs, with their physical punch cards and clunky, standalone apps, often create more friction than they remove. They force customers to remember passwords, carry extra cards, or navigate disjointed experiences, which ultimately discourages participation and hurts CLV.

The solution is to transform loyalty from a separate program into an integrated, seamless part of the digital ecosystem your customers already inhabit. By embedding rewards and recognition directly into the channels they use daily, you make loyalty feel effortless, valuable, and instantly accessible.

Imagine this scenario orchestrated through the indigitall platform: A high-value customer receives a rich push notification on their smartphone: “You’ve unlocked a VIP offer! 20% off your next purchase.” When they tap, they aren’t just sent to your homepage. Instead, with a single click, they can add a dynamic, branded coupon directly to their Mobile Wallet (Apple or Google Wallet).

This creates a frictionless loop. The offer is delivered on a preferred channel, saved with zero effort, and ready for easy redemption in-store or online. This is a core component of a Global Omnichannel Strategy, where you connect digital touchpoints (the app push) with physical ones (in-store purchase) through a single, cohesive Customer Journey.

Using an all-in-one platform like indigitall allows you to manage this entire flow from a single console, ensuring consistency and ease of execution. The benefits to your CLV are immediate and measurable:

• Increased Redemption Rates: Digital coupons stored in a Mobile Wallet are harder to forget and easier to use, driving more repeat business.
• Reduced Churn: By delivering consistent, convenient value, you build stronger brand affinity and give customers fewer reasons to look elsewhere.
• Enhanced Personalization: The data from these interactions allows you to further refine your segmentation and send even more relevant offers in the future, maximizing customer engagement.

Conclusion: Elevate Your CLV with indigitall

indigitall empowers businesses to transform customer interactions into long-term, profitable relationships. By unifying communication channels and leveraging AI-driven insights, you can elevate your Customer Lifetime Value and achieve sustainable growth. Ready to turn your customer data into your most profitable asset? Book a demo with indigitall today and see how our unified engagement platform can maximize your CLV.

Yet, many businesses are held back by a familiar set of challenges. Disconnected tools create data silos, making a 360-degree customer view impossible. Communication strategies default to generic, one-size-fits-all messaging that fails to resonate. This fragmented approach actively erodes customer loyalty and diminishes lifetime value.

This is precisely where the indigitall platform provides a transformative solution. We unify your entire communication ecosystem, seamlessly integrating inbound channels, powered by our sophisticated AI Agents, with powerful outbound messaging across App Push, Web Push, WhatsApp, and more. It’s a single, cohesive platform designed to break down the barriers that limit growth.

While other solutions exist, they often require complex integrations and lengthy implementation cycles. The indigitall advantage lies in our superior Time-to-Value and Ease of Use. Our platform, managed through the intuitive indigitall console, is engineered to empower your marketing and CRM teams to launch sophisticated campaigns quickly, turning strategy into measurable results without heavy reliance on development resources.

This unified approach is the engine of a true Global Omnichannel Strategy. Imagine a Customer Journey where a query handled by an AI Agent on WhatsApp triggers a personalized in-app offer, which is then saved to the user’s Mobile Wallet. Every touchpoint is connected, intelligent, and optimized to drive the next best action, creating the kind of seamless experiences that turn casual buyers into loyal brand advocates.

Success Case: Incapto

Incapto, a coffee subscription service in Spain, leveraged indigitall’s platform to transform their customer engagement strategy. By integrating WhatsApp Gen AI and CRM, they created a “Coffee as a Service” subscription with a “Panic Button” for reorders.

• Metrics:
• 70% of bot chats resolved without human intervention
• 12.5% increase in Average Order Value (AOV)
• 56% reduction in churn rate
• 18% increase in purchase frequency
• €30k MRR from WhatsApp Panic Button alone

What is Customer Lifetime Value (CLV) and why is it important?

Customer Lifetime Value (CLV) is the total net profit a company can expect from a single customer throughout their relationship with the brand. It is important because it shifts the focus from short-term transactions to long-term relationships, emphasizing customer loyalty and repeat business, which are crucial for sustainable growth.

How can businesses enhance their CLV?

Businesses can enhance their CLV by integrating communication channels and leveraging AI-driven insights to create personalized customer journeys. Platforms like indigitall facilitate this by connecting with customers across multiple channels, which helps in building loyalty and maximizing lifetime value.

What are the key components that influence CLV?

The key components that influence CLV are Average Purchase Value (APV), Purchase Frequency (F), and Customer Lifespan (L). By increasing APV through upselling, enhancing purchase frequency via strategic marketing, and extending customer lifespan through personalized engagement, businesses can significantly boost their CLV.

How does the LTV:CAC ratio relate to CLV?

The LTV:CAC ratio compares Customer Lifetime Value (LTV) to Customer Acquisition Cost (CAC) and is a crucial indicator of marketing efficiency and business model viability. A healthy ratio, typically around 3:1, suggests that a business generates significantly more revenue from customers than it costs to acquire them, which is essential for sustainable growth.

What are the methods to calculate Customer Lifetime Value?

There are various methods to calculate Customer Lifetime Value, including the Simple (or Historic) CLV Model and the Predictive CLV Model. The Simple CLV Model uses past data to provide a baseline value, while the Predictive CLV Model employs analytics to forecast future revenue from a customer, making it more suitable for strategic planning.

Why should businesses focus on long-term relationships rather than short-term gains?

Focusing on long-term relationships rather than short-term gains is essential because it leads to sustainable profitability and resilience in a competitive market. By prioritizing Customer Lifetime Value, businesses can make smarter decisions in marketing, product development, and customer service, ultimately driving long-term success.

About the Authors

Juan Carlos de la Vela — Chief Executive Officer (CEO) at indigitall

Juan Carlos de la Vela Benavides is the CEO and co-founder of indigitall, an AI-driven customer engagement platform. With over 23 years of international experience, he has held senior roles at leading technology companies. At indigitall, he leads the company’s strategic direction and oversees operations. His extensive background in sales and management has been instrumental in indigitall’s growth and innovation in the digital communication sector. LinkedIn

Xavier Omella — Co-Founder

Xavier Omella is the Co-Founder of indigitall, an AI-driven platform that enables businesses to manage and automate customer engagement across multiple digital channels. Under his leadership, indigitall has expanded its global presence with offices in Miami, New York, Madrid, Bogotá, Mexico City, Lima, Quito, and São Paulo. The company has been recognized for its innovative approach to digital communication, earning the ISO 27001 Certification for Information Security Management System (ISMS) and the Innovative SME certificate from the Spanish Ministry of Science, Innovation and Universities. … LinkedIn

Josh Rice — Chief Marketing Officer at indigitall

Josh Rice is the Chief Marketing Officer at indigitall, an AI-driven customer engagement platform. Previously, he served as Associate Director of Marketing at Decision Lens, focusing on modernizing government planning and funding processes. Prior to that, he held roles at Rosetta Stone, including Senior Manager of North American Marketing and Marketing Operations, and Enterprise Marketing Manager. Josh also worked as Digital Marketing Manager at Perfect Sense, where he developed demand generation strategies that significantly increased discovery calls and qualified opportunities. Earlier in his career, he was Product Marketing Manager and Digital Marketing Coordinator at Jinfonet Software, and Inside Sales Representative at Lenovo. … LinkedIn