Complete TAM/SAM/SOM calculation for a B2B SaaS startup using bottom-up and top-down methodologies. E-commerce companies (D2C and marketplace sellers) Currently
This skill performs a comprehensive market sizing analysis for B2B SaaS startups targeting e-commerce companies, using both bottom-up and top-down methodologies. It calculates Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) by segmenting customers based on revenue size, geography, and readiness to adopt AI-powered email marketing. The process integrates real-world data sources like U.S. Census, Shopify, and Gartner reports to validate sizing estimates and forecast achievable market share over a 3-5 year horizon.
This skill is designed for performance marketers and growth leads at SaaS startups focused on e-commerce verticals, especially those selling AI-powered email marketing solutions. It also benefits agency strategists advising B2B SaaS clients on go-to-market planning and sales targeting by providing data-driven market opportunity assessments. PPC operators looking to justify budget allocation for niche segments within e-commerce email marketing can leverage this skill to quantify addressable and obtainable market potential.
First, define target customer segments by revenue tiers and geography, filtering for companies currently using email marketing. Next, calculate TAM by multiplying segment counts by average contract values using a bottom-up approach. Then, apply filters for product readiness and competitive switching to determine SAM. Finally, estimate SOM by applying realistic market share targets for years three and five based on funding and sales capacity assumptions. Throughout, validate results with a top-down approach using industry reports and cross-check alignment within 10% variance to ensure robust estimates.
How do I adjust market sizing for geographic expansion? Use a global multiplier based on the share of the initial region’s market within the worldwide total, as demonstrated by scaling North America results to global TAM. What data sources best support bottom-up segmentation? Public business registries, e-commerce platform merchant counts, and LinkedIn Sales Navigator provide reliable company counts and revenue filters. How should I interpret SOM targets? SOM reflects realistic attainable revenue within 3-5 years, factoring in product-market fit, funding, and sales effectiveness, rather than aspirational growth.
Attach this skill to a Metaflow agent task to generate detailed TAM, SAM, and SOM calculations for your SaaS e-commerce segment based on provided input criteria and data references. Expect a step-by-step market sizing breakdown with validation against external industry data, enabling informed go-to-market decisions. The output supports scenario modeling and can be combined with other skills to refine growth forecasts and resource allocation strategies. We recommend reviewing the documentation on...
For broader context, see our roundup of claude skills for marketing, and read Claude Code workflows for marketing agencies for related setup guidance.