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Investor Metrics Template for Product Analytics
A structured template for tracking and presenting investor-relevant metrics. Covers SaaS unit economics, growth efficiency, retention benchmarks, and...
Updated 2026-03-05
Investor Metrics
| # | Metric | Target | Current | Progress % | Owner | Status | |
|---|---|---|---|---|---|---|---|
| 1 | 140 | ||||||
| 2 | 98 | ||||||
| 3 | 84 | ||||||
| 4 | 75 | ||||||
| 5 | 75 |
#1
140
#2
98
#3
84
#4
75
#5
75
Edit the values above to try it with your own data. Your changes are saved locally.
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Frequently Asked Questions
Which metrics matter most at each fundraising stage?+
At Seed, investors focus on growth rate and early retention signals. Show that you are growing fast and customers stick around. At Series A, add unit economics: CAC, LTV, and payback period. Show that growth is efficient. At Series B, add efficiency metrics: burn multiple, magic number, and Rule of 40. Show that the business model scales. The [net revenue retention definition](/glossary/net-revenue-retention-nrr) provides the precise calculation that investors expect.
How do I calculate NRR if my company is less than 12 months old?+
Use the data you have and annualize it. If you have 6 months of data, calculate NRR over 6 months and disclose the timeframe. Investors understand that early-stage companies have limited data. What they penalize is imprecise or misleading calculations. Be transparent about the timeframe and methodology. The [retention rate definition](/metrics) covers the underlying calculation.
Should I show metrics that are below benchmark?+
Yes. Investors will find them anyway during due diligence. Presenting a weak metric proactively with an explanation and improvement plan builds credibility. "Our logo churn is 6%, above the 5% benchmark for SMB SaaS. We identified onboarding as the root cause and shipped a redesigned flow in January that has improved 30-day retention by 12 pp." This is far better than hiding the number and having an investor discover it.
How do I handle metrics during a transition period (e.g., pricing change, new market)?+
Add a footnote or annotation. "NRR reflects the legacy pricing model. New pricing (launched February 2026) is expected to improve NRR by 5-10 pp based on early cohort data." Investors expect growing companies to evolve their models. They penalize unexplained anomalies, not explained transitions.
What is the minimum data history investors expect?+
At minimum, 6 months of monthly data. Ideally, 12-18 months for Series A and beyond. If your data is sparse, fill in what you have and be transparent about gaps. Start tracking these metrics today so you have a full history when you need it. The [Product Analytics Handbook](/analytics-guide) covers how to set up measurement infrastructure that feeds these metrics automatically. ---
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