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Do I need ModernLTV for my business?

As a B2C subscription business, deeply understanding your customers is mission critical to combatting churn and retaining revenue. But it's much easier said than done. That's why ModernLTV is here to help.

Zack Babin
February 23, 2024
5 minutes

Powered by proprietary intelligence and purpose-built for marketing and business teams, ModernLTV unifies customer data, unlocks predictive insights, and automates critical workflows to combat churn and maximize LTV — without a single line of code. Let's start with the highlights of the platform:

  • Unified customer data with zero code

  • Proprietary, revenue-driven intelligence

  • Purpose-built for subscription businesses

Below is a side-by-side comparison of the current solutions:

CDPs

MLaaS

RaaS

SSaaS

ModernLTV

Intelligence

Largely descriptive analytics

Comprehensive and high performance

Descriptive, focused on payments

Descriptive, focused on payments

Predictive & descriptive

Integration

Low code, requires engineering

Requires significant development

Low code, requires engineering

Requires significant development

Zero engineering required

Customers

Large businesses, enterprise

Large businesses, enterprise

Small to medium businesses

Medium to large businesses

Small to medium businesses

vs. Customer data platforms (CDPs)

Example: Segment, Tealium, HighTouch, Hubspot

While these platforms can serve as the source of truth for your customer data, they offer limited to no predictive intelligence to combat churn and require ongoing engineering support.

PROs

  • Unifies all your customer data in one place
  • Low code integration
  • Integrates with all downstream tools

CONs

  • Requires on-going engineering resources
  • Focused on user identity resolution, not intelligence
  • Cost increases as customer base scales

vs. AI / ML platforms (MLaaS)

Example: Pecan AI, Retina AI

These platforms offer AI/ML models as a service, allowing data teams to eliminate the time-consuming steps of building and training a model and focus on the aspects that differentiate their product.

PROs

  • Increases speed of model development
  • Access to high performance, battle-tested models
  • Improves productivity of data science teams

CONs

  • Built for highly technical users
  • Onboarding requires time & development
  • Limited utility or application across business

vs. Retention tools (RaaS)

Example: Butter Payments, Churn Buster, RedFast, FlexPay

These platforms do offer value-added solutions for specific types of customer churn (e.g. payment failures), but have limited predictive capabilities that allow you to combat churn before it happens.

PROs

  • Low code integration
  • Offer configurable dunning logic
  • Whitelabel UI for cancellation flows

CONs

  • Targets payment failures, a small percentage of churn
  • Limited insights to predict churn before it happens
  • Requires some engineering resources

vs. Subscription management (SSaaS)

Example: Stripe Billing, Recurly, Recharge, Bold

Every business needs to collect and process payments and many subscription businesses choose to layer on Recurly, Recharge, etc to handle all the subscription-related functionality. That said, while they provide off-the-shelf payment recovery solutions, they don't have nearly the range of functionality to comprehensively address customer churn.

PROs

  • Handles all subscription management
  • Source of truth for customer churn
  • Off-the-shelf payment recovery features

CONs

  • Requires engineering resources
  • Focused on payment infrastructure, not intelligence
  • Handles payment failures, a small percentage of churn

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Artificial intelligence (AI) and machine learning (ML) are rapidly transforming how businesses analyze customer behavior and make data-driven decisions. Companies like Pecan AI, Retina AI, and Stay AI are at the forefront of this revolution, offering specialized AI solutions for predicting customer actions.

Comparative analysis on AI/ML solutions

Let's take a closer look at these innovative companies and how their solutions compare:

  • Core features: Predictive analytics, churn prediction, anomaly detection
  • Engineering required: High, ongoing
  • Price: $1,000+ / month
  • Implementation: Weeks - Months

  • Core features: Customer behavior prediction, LTV modeling
  • Engineering required: High, ongoing
  • Price: 1,000+ / month
  • Implementation: Weeks - Months

  • Core features: AI-powered churn prediction, customer retention insights
  • Engineering required: Medium
  • Price: $500+ / month
  • Implementation: Weeks

Key Considerations:

  • Technical Complexity: These solutions are geared towards data science and engineering teams. They often require significant technical expertise for setup, integration, and model customization.
  • Pricing: AI-driven analytics platforms can be expensive, often with pricing models scaling based on data volume and the complexity of models.
  • Time to Value: Implementing these solutions and integrating them with your existing data systems can be a lengthy process, delaying the realization of insights.

ModernLTV: A Differentiated Approach for B2C Subscriptions

ModernLTV stands apart from traditional AI/ML platforms with the following advantages:

  • Customer Data Unification: While companies like Pecan AI, Retina AI, and Stay AI require you to have your customer data neatly organized, ModernLTV seamlessly connects to your existing systems (e.g., Stripe, Shopify, CRM) to automatically unify customer data, eliminating this complex step.
  • Built for Marketers, Not Engineers: ModernLTV is a no-code solution. Marketing teams can independently use the platform without relying on engineering resources.
  • Actionable Insights with Revenue Impact: ModernLTV goes beyond predictive models by providing actionable recommendations and tools to directly improve churn, increase retention, and boost LTV.

ModernLTV as Mission Control

ModernLTV empowers B2C subscription businesses to take their customer intelligence to the next level:

  • Understand the 'why' behind churn: Uncover the root causes of customer churn and get proactive alerts about at-risk subscribers.
  • Execute data-driven campaigns: Launch personalized retargeting and win-back campaigns based on actionable recommendations.
  • Focus on revenue: See the direct financial impact of your retention efforts and make strategic decisions that maximize LTV.

The bottom line

AI and ML hold immense potential for customer analytics, but the technical hurdles and lack of marketing focus can be obstacles for many B2C subscription businesses. ModernLTV bridges this gap, providing a powerful yet accessible solution, tailor-made to drive growth and retention in the subscription economy.

The rise in customer churn

Over the last few years, B2C subscription businesses have faced a perfect storm. Customer churn has reached historical levels as revenue retention has become harder than ever. Understanding the factors driving this trend is critical to maintain a strong business within a highly competitive market. Let's dive into the reasons behind rising churn rates and why customer retention is more important now than ever.

Major factors driving churn

There are several macro trends that have driven a rapid increase in customer churn across every industry. Let's discuss:

Zero switching costs

In today's digital landscape, consumers are spoiled for choice when it comes to subscription services. Countless streaming platforms, meal kit delivery options, and software subscriptions are just a click away. The ease with which customers can switch between providers, often with little to no financial cost, has dramatically increased churn rates.

This lack of friction makes it tempting for customers to jump ship in search of better deals, newer features, or simply a change of pace. Subscription businesses must constantly innovate and offer compelling value to keep customers engaged and prevent them from exploring greener pastures elsewhere.

Increase financial risk

The rising cost of living is putting a strain on household budgets worldwide. With essentials like groceries, housing, and energy becoming more expensive, consumers are forced to make tough choices about where to allocate their limited funds. Subscription services, once considered small luxuries, may now be among the first expenses to get cut.

This economic pressure highlights the need for B2C subscription businesses to prove their value proposition. Customers are increasingly asking themselves, "Is this subscription truly worth the monthly cost?" Companies that can't provide a resounding "yes" risk losing subscribers.

Profit margins under pressure

Businesses of all sizes face mounting margin pressure. Factors like higher cost of capital, supply chain disruptions, and increased labor costs are squeezing businesses from the bottom up. This financial pressure can lead companies to adopt short-sighted strategies that ultimately damage customer retention.

For example, some businesses might raise prices to offset costs. However, frequent or steep price hikes can alienate price-sensitive customers and lead them to seek alternatives. Others may cut back on customer support or reduce the quality of their offerings, unintentionally driving subscribers away. 

The critical importance of customer retention

For B2C subscription businesses, maximizing customer retention is mission critical. Here's why:

  • Acquisition Costs: Acquiring new customers is significantly more expensive than retaining existing ones. Retaining loyal customers allows businesses to reinvest money into product development and other value-adding initiatives.
  • Predictable Revenue: Consistent, loyal subscribers provide much-needed stability and predictable recurring revenue for subscription-based companies.
  • Lifetime Value (LTV): Long-term customers have a higher lifetime value, meaning they generate more revenue for a business over the course of their relationship than customers who churn quickly

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Strategies to combat churn

So, how can B2C subscription businesses stem the tide of customer churn? Here are a few effective strategies:

  • Unify customer data: First and foremost, you must centralize the valuable data trapped in all your systems to create a complete view of your customers.
  • Uncover predictive, actionable insights: Gain a deeper and more proactive understanding of your customers so you can identify those at risk to churn, before it happens. 
  • Automated critical workflows: Leverage the intelligence to automate and enhance the critical workflows to maximize retention rates.
  • Prioritize relationships: Personalize the customer experience and continuously demonstrate tangible value to foster a sense of loyalty that goes beyond a mere transaction.
  • Offer flexible plans: Provide different pricing tiers and payment options to accommodate various budgets and needs

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The bottom line

Rising customer churn is a challenge that B2C subscription businesses can't afford to ignore. By leveraging predictive intelligence to deeply understand your customers and automation to supercharge retention workflows, subscription businesses can not only combat churn but also maximize customer LTV.

The CDP value proposition

  • Data Unification: CDPs provide identity resolution, where they merge first, second and third-party data to provide a comprehensive 360-degree view of each customer.
  • Event Tracking: CDPs provide a standardized, low-code method for capturing customer actions and behavior across all touchpoints.
  • Reverse ETL: CDPs activate data from a data warehouse and sync to any downstream tool, system, or application.

For consumer businesses, customer data is the lifeblood of the business. The good news is that today, they have more data about their customers than ever before. The bad new is they also face increasingly siloed systems, mounting data complexity, and a lack of truly actionable insights. This is where Customer Data Platforms (CDPs) come in, but are they solving the real problem with the right solution? Let's explore.

What is a Customer Data Platform (CDP)?

A CDP is a technology solution designed to collect, unify, and organize customer data from various sources. It creates a centralized hub for understanding customer behavior across touchpoints. In short, a CDP lays the foundation for data-driven marketing and customer experience strategies.

Competitive analysis

Here's a breakdown of some leading CDPs, outlining their features, pricing, technical requirements, and implementation time:

  • Core features: Data collection, transformation, activation
  • Engineering required: Low code to launch and ongoing use
  • Target users: Data, engineering teams; Product teams require engineer support
  • Data management: Requires engineering to create or modify data
  • Enrichment/intelligence: Identity resolution & event tracking

  • Core features: Focus on data syncing to operational tools
  • Engineering required: Low code to launch and ongoing use; SQL or BI tool required for each source
  • Target users: Data, engineering; Marketing teams require engineer support
  • Data management: Requires engineering to set up and manage; no-code solution for reverse ETL
  • Enrichment/intelligence: Identity resolution & event tracking

  • Core features: Tag management, advanced audience creation
  • Engineering required: Low code to launch and ongoing use
  • Target users: Data, engineering teams; Product teams require engineer support
  • Data management: Requires engineering to create or modify data
  • Enrichment/intelligence: Identity resolution & event tracking

  • Core features: Identity resolution, predictive analytics
  • Engineering required: High code to launch, low for ongoing use
  • Target users: Data, engineering teams
  • Data management: Requires engineering to create or modify data
  • Enrichment / intelligence: Identity resolution & event tracking

Important Considerations:

  • Cost: CDPs can have substantial upfront and ongoing costs. Pricing models often depend on factors like data volume and feature usage.
  • Technical expertise: Implementing and maintaining a CDP typically requires significant engineering resources.
  • Time to value: The complex setup and integration process of CDPs can lead to a longer time before you see tangible results.

The ModernLTV difference

ModernLTV: A unified customer intelligence engine

Like CDPs, ModernLTV unifies your customer data and syncs to your destination through reverse ETL. What differentiates ModernLTV is HOW we unify and activate customer data on either end of the workflow and the functionality we enable in between. As a unified customer intelligence engine, ModernLTV is purpose-built to provide all teams with no-code tools to turn customer data into new customer attributes, advanced segments, and predictive insights. By unifying your customer data to a single, universal customer data model, ModernLTV offers functionality that traditional or composable CDPs cannot. Further, ModernLTV is dedicated to and priced for small and medium consumer businesses and designed to give business teams end-to-end control to build and deploy customer intelligence.

Here are the three things that set us apart:

No-code features

Build unlimited customer attributes, advanced segments, and predictive insights with zero code.

Turnkey AI integrations

Build & deploy leading AI/ML and predictive models in minutes using one of our native integrations.

Tech stack agnostic

Connect any existing database, data warehouse, or application without impacting your existing workflows.

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