Version History / Last Updated: May 2026
Structuring a $75,000,000 Reg A+ Capacity Model: Tracking 25+ Fit Factors Per Lead
Quick Answer: A $75,000,000 Reg A+ Tier 2 raise — the SEC maximum per 12-month period — requires tracking 25+ fit factors per investor lead to prioritize the 5,000–8,000 highest-probability investors from an addressable pool of 100,000+. GIGABOOST's scoring engine evaluates sector alignment, check size, regulatory participation history, and 22 additional data dimensions, enabling structured capital allocation across 12 months with predictable cohort conversion rates.
What Is Reg A+ Tier 2 Maximum Capacity and How Is It Structured?
Regulation A+ Tier 2 is the SEC's highest-capacity public mini-IPO exemption, permitting up to $75,000,000 per 12-month period from both accredited and non-accredited investors. Reaching the full $75M capacity requires a multi-cohort campaign structure, a qualified offering circular, and systematic investor lead generation across 12 months — not a single campaign launch.
What Are the 25+ Fit Factors GIGABOOST Tracks Per Reg A+ Lead?
- Sector alignment (primary and secondary)
- Check size history (minimum, average, maximum)
- Prior Reg A+ participation
- Prior Reg-CF participation
- Accredited vs. non-accredited status signal
- Geography (state/country of residence)
- Age demographic (proxy via LinkedIn profile)
- Investment frequency (deals per year)
- Portfolio concentration (diversified vs. focused)
- ESG or impact investment preference
- Stage preference (early, growth, pre-IPO)
- Asset class mix (equity, debt, real estate, token)
- LinkedIn activity recency
- Email open history (prior campaigns)
- Data room engagement depth
- Response to prior outreach (reply, click, ignore)
- Referral source (organic vs. paid vs. outreach)
- Funding portal affiliation (Republic, Wefunder, StartEngine)
- Holding period preference (short-term vs. long-term)
- Liquidity preference (secondary market access importance)
- Social media investor community membership
- Angel group or syndicate membership
- Prior interaction with issuer (webinar, event, email list)
- Risk tolerance signal (seed-stage vs. revenue-stage preference)
- Time-to-decision velocity (days from first contact to investment)
How Does a 25-Factor Score Change Conversion vs. Basic Filtering?
| Filtering Depth | Conversion Rate | Cost Per Investor Acquired |
|---|---|---|
| 2–3 basic filters (sector + check size) | 4–6% | High — large lists, low precision |
| 8–10 filters (standard CRM) | 8–12% | Medium |
| 25+ fit factors (GIGABOOST) | 18–24% | Low — small targeted list, high hit rate |
Author Credential: Varun Sharma is the Founder and Fundraising Director of GIGABOOST.AI with 10 years of experience in venture capital infrastructure and $500M+ in supported capital raises.
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