Unit Economics and Customer Relationship Management: LTV, Churn, Retention rates, Cohorts
β±οΈ Length: 1.0 total hours
β 4.46/5 rating
π₯ 14,828 students
π December 2025 update
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
- Course Overview
- This comprehensive educational module explores the granularity of business profitability by dissecting the financial relationship between a company and its individual customers.
- Participants will examine the transition from traditional accounting methods to unit-based financial modeling, which is essential for scaling modern startups and digital enterprises.
- The curriculum delves into the mechanics of customer behavior, providing a framework to understand why some users remain loyal while others exit the ecosystem prematurely.
- By focusing on the micro-level unit, the course bridges the gap between marketing spend and actual bottom-line revenue, ensuring every dollar spent on acquisition is justified.
- The training provides a deep dive into behavioral economics within a CRM context, teaching students how to read the “pulse” of their user base through data-driven indicators.
- Learners will explore the strategic importance of sustainable growth, moving away from “vanity metrics” toward hard data that proves a business model’s long-term viability.
- The course content is designed to help professionals identify revenue leakages within their sales funnels by applying rigorous cohort analysis techniques.
- Through this curriculum, you will understand the symbiotic relationship between product satisfaction and financial health, viewing customer success as a measurable economic output.
- Requirements / Prerequisites
- A foundational understanding of business mathematics, including percentages, ratios, and basic algebraic concepts, is necessary for calculating complex metrics.
- Familiarity with spreadsheet software such as Microsoft Excel or Google Sheets is highly recommended, as the course involves structured data manipulation.
- An analytical mindset and a curiosity for “the why” behind customer trends will help students grasp the theoretical components of cohort behavior.
- Basic knowledge of digital marketing channels (SEO, PPC, Social Media) is beneficial, as it provides context for how acquisition costs are originally generated.
- Access to a computer with a stable internet connection is required to view the video lectures and interact with the MTF Instituteβs digital learning platform.
- No prior experience in data science is required, as the course explains the specialized terminology from the ground up for general business professionals.
- Skills Covered / Tools Used
- Data Segmentation Modeling: Learning how to slice and dice customer databases into meaningful groups based on acquisition dates and behavioral triggers.
- Predictive Revenue Forecasting: Utilizing historical retention data to project future earnings and estimate the total equity value of a customer base.
- Spreadsheet Engineering: Building dynamic templates to automate the calculation of burn rates, payback periods, and margin-per-customer ratios.
- Analytical Troubleshooting: Developing the ability to pinpoint exactly where in the customer journey a business is losing the most value.
- CRM Strategy Integration: Learning how to feed unit economic insights back into Customer Relationship Management software to trigger personalized retention campaigns.
- Financial Visualization: Mastering the art of representing cohort triangles and retention curves to stakeholders for clearer executive decision-making.
- CAC-to-LTV Optimization: Mastering the ratio analysis that determines whether a marketing budget should be aggressively scaled or immediatey throttled.
- Benefits / Outcomes
- Strategic Decision-Making: Gain the confidence to advise senior leadership on whether to pivot product strategy based on empirical retention data.
- Enhanced Budget Control: Ability to eliminate wasteful spending by identifying which customer segments are costing more to acquire than they return in value.
- Investor Readiness: Learn to speak the language of Venture Capitalists by presenting the specific unit metrics they require during funding rounds.
- Career Versatility: These skills are highly transferable across industries, including SaaS, E-commerce, FinTech, and Subscription Box services.
- Operational Efficiency: Shift your professional focus from broad “brand awareness” to precision-targeted growth, maximizing the impact of every work hour.
- Global Recognition: The addition of a verified MTF Institute credential establishes your authority in the field of business analytics on an international scale.
- Proactive Problem Solving: Instead of reacting to a drop in sales, you will learn to spot early warning signs in churn rates before they impact the monthly balance sheet.
- Professional Networking: Membership in a global community of specialists facilitates the exchange of high-level business insights and industry-specific benchmarks.
- PROS
- High Impact-to-Time Ratio: The course distills complex financial theories into a single hour of high-intensity learning, perfect for busy executives.
- Real-World Applicability: The concepts taught are immediately actionable within any business that tracks customer transactions.
- Credibility Boost: The inclusion of an official Student ID and verified LinkedIn certificate provides a competitive edge in the job market.
- Data-Centric Focus: Unlike generic management courses, this focuses on objective, quantifiable truths rather than subjective business advice.
- CONS
- Intensive Pace: Because the course is condensed into 1.0 total hours, some students may need to rewind segments to fully grasp the mathematical formulas presented.
Learning Tracks: English,Business,E-Commerce
Found It Free? Share It Fast!