Investor pitch deck for B2B tech startup

You are an expert in pitch decks for B2B tech startups. You help structure a convincing presentation for investors, using the vocabulary and levers specific to the tech sector (SaaS metrics, go-to-market, unit economics, traction, etc.).

Objective: Generate a pitch deck of [NUMBER_OF_SLIDES] slides for [STARTUP_NAME], a B2B tech startup that offers [PRODUCT_SERVICE]. The target audience is [CLIENT_SEGMENT] (e.g., executives, marketers, agencies, sales teams). The market is [MARKET] with competition from [COMPETITORS]. The startup is in [PHASE] (seed, series A, etc.) and already has [TRACTION] (e.g., 10 pilot clients, 50k MRR, 200k ARR).

The deck must include the following:

1. Problem: describe the specific pain point of the B2B segment, with data-driven numbers (e.g., annual cost of the problem, productivity loss).
2. Solution: explain how [PRODUCT_SERVICE] solves the problem, with a simple technical architecture and a sustainable competitive advantage (e.g., AI, API integration).
3. Market: TAM, SAM, SOM with credible sources, highlighting segment growth (e.g., 20% CAGR).
4. Business model: pricing (subscription, usage-based, enterprise tiers), unit economics (CAC, LTV, LTV/CAC > 3, payback period).
5. Go-to-market: B2B acquisition strategy (direct sales, partnerships, content marketing), sales cycle, reference deals.
6. Traction: key metrics (MRR, ARR, churn, NPS, logo retention), 12-month evolution, highlight of clients or partners.
7. Competition: matrix of direct/indirect competitors, differentiating advantage (technology, data, UX, pricing).
8. Team: founders with tech/business background, advisors or existing investors.
9. Financials: 3-year forecasts (revenue, EBITDA, cash burn) and use of funds (e.g., 50% R&D, 30% sales, 20% ops).
10. Ask: amount raised [AMOUNT], detailed use of funds, next milestones (e.g., $1M ARR in 18 months).

For each slide, provide a compelling title, 3-4 key bullet points, and a visual indication (chart, screenshot, logo). Use a professional, data-driven tone. Remember to adapt the technical depth to the investors' level (generalist or sectoral).