AI-Powered Platform (SaaS B2C) Financial Model

Description
Revenue Assumptions (with Dynamic Start Month):


This model accommodates three distinct revenue streams: recurring contracts (B2C SaaS), volume-based fees, and one-time transactions. It offers up to four pricing tiers for recurring revenue, with options for varying contract lengths and customer retention rates. Each tier can be customized for expected monthly transaction volumes and applicable fees, such as those earned from customer transactions, making it ideal for AI-driven platforms like financial advisory services that earn fees on user activities. Additionally, it allows for the configuration of one-time revenue sources by specifying the number of new customers and their corresponding fees for each tier, ensuring flexibility across multiple revenue scenarios.


Acquisition Assumptions (with Dynamic Start Month):
This model supports acquisition via both paid and organic traffic channels. Paid traffic assumptions include ad spend and customer acquisition cost (CAC) for each tier, alongside a global ad spend input. Users can allocate a percentage of customers from global ad campaigns into specific tiers, including provisions for free customer pools. For organic traffic, the model tracks initial traffic, growth, and conversion rates—both to the free and paid pools. It also includes monthly conversion rates from free to paid customers, with retention schedules for free-tier customers.


Customer Retention Assumptions:
Customer retention is customizable for each of the four pricing tiers, with inputs for expected renewal retention rates. By default, the model assumes a gradual customer decay after each renewal, but this can be overridden on the 'Validation' tab, where retention rates can be fine-tuned for each year and tier. Additionally, there’s an option to account for an increase in average contract value, allowing the model to simulate negative churn, reflecting revenue growth even with potential customer attrition.


Scaling Costs:
The model incorporates assumptions for scaling customer service and sales teams based on customer growth, with adjustable ratios. Users can zero out these assumptions if scaling by headcount isn’t required. Cost of goods sold (COGS) inputs include both per-customer monthly costs and adjustable annualized costs. Further, assumptions are made for administrative and COGS costs as percentages of total revenue, ensuring that both variable and fixed costs are comprehensively captured.


Fixed OPEX Costs:
To cover core operational expenses such as executive salaries, legal fees, and other fixed costs, the model has detailed input sections for General and Administrative (G&A), Sales and Marketing (S&M), and Research and Development (R&D) expenditures. Each of these sections is dynamically adjustable by start month and year, and designed to capture the full annual financial impact of operational overhead.


Other Assumptions:
Users can include an optional terminal value based on a trailing 12-month revenue multiple to estimate company valuation at the end of the forecast period. The cap table allows for specifying equity split between internal and external investors, providing insights into ownership and profit sharing. Additionally, a CAPEX schedule accounts for the depreciation of long-term assets.


Output Reports:
The model generates comprehensive monthly and annual financial statements, including Income Statement, Balance Sheet, and Cash Flow Statement. Key performance indicators (KPIs) such as customer lifetime value (LTV), CAC, LTV to CAC ratio, and churn are visualized alongside financial metrics like DCF analysis, internal rate of return (IRR), return on investment (ROI), and equity multiples. The executive summary provides an annual snapshot of key financial and operational metrics, making it an essential tool for high-level decision-making.


This template is also included in two bundles:

• All Models Bundle
• SaaS / Subscription Models