The alternatives landscape has more managers competing for the same allocator attention than ever. AdvizorPro and FINTRX help you find advisors. AllocatorBase helps you identify which allocators will commit capital — and builds the infrastructure to move them through your pipeline.
Raising capital from RIAs and wealth managers is not a data problem. Most alternatives managers have access to contact data. The failure happens at the infrastructure layer: no scoring to identify which relationships are actually likely to convert, CRM deal stages designed for SaaS sales rather than institutional fundraising, manual CSV exports that go stale the moment they are downloaded, and no way to measure capital velocity.
Most alternatives managers face the same set of infrastructure failures: fragmented allocator data spread across spreadsheets and CRM notes, no scoring to identify which relationships are actually likely to convert, CRM deal stages designed for SaaS sales rather than institutional fundraising, manual CSV exports from data providers that go stale the moment they are downloaded, and no way to measure capital velocity — how fast allocators are moving through your pipeline or where they are stalling.
Your team chases every lead equally. There is no scoring to identify which allocators have the mandate, the allocation budget, and the engagement signals that predict a commitment.
Generic deal stages hide where capital actually stalls. You can’t see the difference between “had a first meeting” and “submitted to investment committee.”
You export a CSV from Dakota or AdvizorPro, clean it, import it into your CRM, and by the time it’s usable, the data is already degrading.
You track activity — meetings, calls, emails — but can’t answer the question that matters: which allocators are actually moving toward a commitment, and how fast?
These are not data problems. They are infrastructure problems. You don’t need a better list. You need a system that turns allocator intelligence into a probability-weighted, CRM-native pipeline with measurable velocity.
AllocatorBase is capital formation infrastructure — not a contact database. The platform combines SEC-verified allocator data with probability scoring, CRM-native pipeline staging, and capital velocity analytics. Here is how each piece works for alternatives managers raising capital.
AdvizorPro scores for distribution fit — which advisor matches your firmographic profile. AllocatorBase scores for capital probability — which allocator will commit capital to your fund. Each allocator gets a 0–100 Probability Score derived from mandate alignment (alternatives allocation % from Form ADV), size match, and pipeline engagement signals. Different input. Different output. Different job.
Allocator data installs directly into HubSpot or Salesforce with bidirectional sync, custom objects, pipeline stages built for institutional fundraising, and automation workflows. No downloading CSVs, no cleaning columns, no manual imports. When a Probability Score updates, your CRM reflects it in real time.
Every allocator profile is grounded in SEC EDGAR Form ADV filings and IAPD regulatory data — AUM, alternatives allocation percentages, client types, fee structures, custodial relationships. All verifiable against public records. No scraped data, no unverified sources, no guesswork about whether an RIA actually invests in alternatives.
Track how fast allocators move through pipeline stages — from initial identification through meeting, diligence, IC review, and commitment. Surface bottlenecks. Forecast close timelines. Measure whether your capital formation process is accelerating or decelerating. Activity is noise. Velocity is signal.
AllocatorBase’s mandate alignment filtering uses SEC Form ADV alternatives allocation percentages to identify which RIAs and family offices invest in your specific strategy type.
If you are evaluating platforms for raising capital from RIAs and family offices, here is how the major options compare on capabilities that matter for alternatives fundraising — not general distribution.
| Capability | AllocatorBase | AdvizorPro | FINTRX | Dakota |
|---|---|---|---|---|
| Alts allocation % from ADV | ✓ Built-in filter | ADV keyword search | Partial | — |
| Capital probability scoring | ✓ 0–100 | Lead scoring (fit) | — | — |
| Pipeline staging in CRM | ✓ Institutional stages | — | — | — |
| Mandate alignment | ✓ | Interest signals | ✓ | Partial |
| Capital velocity analytics | ✓ | — | — | — |
| CRM-native integration | ✓ Bidirectional | ✓ Bidirectional | One-way | ✓ |
| SEC-verified data | ✓ ADV-grounded | Partial | Partial | Partial |
| Family office coverage | ✓ Included | ✓ 3,800+ | ✓ 4,400+ | ✓ |
| IC readiness tracking | ✓ | — | — | — |
| Website visitor tracking | — | ✓ TrafficIQ | — | — |
| LP introductions | — | — | — | ✓ Marketplace |
| Published pricing | ✓ From $750/mo | — | — | — |
Comparison reflects publicly available product information as of April 2026.
This is the most important distinction in the category. AdvizorPro, FINTRX, Dakota, and RIA Database are excellent products — but they solve a different problem.
Distribution fit scoring asks: “Which advisor matches my firmographic profile?” It uses AUM, custodian, location, investment focus, and website engagement to rank which advisors your distribution team should contact. This is the right tool if you are selling an ETF, distributing a mutual fund, or prospecting for wealthtech adoption.
Capital probability scoring asks: “Which allocator will commit capital to my fund?” It uses mandate alignment (does this RIA actually invest in alternatives?), allocation history (what percentage of their AUM goes to alts?), size match (can they write a check that matters?), and pipeline engagement signals (are they moving forward or stalling?) to predict which relationships will convert. This is the right tool if you are raising a fund.
If you need distribution intelligence, AdvizorPro is strong. If you need capital formation infrastructure, that is what AllocatorBase was built for.
A $2,500 Capital Formation Audit is a 2–3 week diagnostic that maps capital leaks, benchmarks your CRM against institutional standards, and identifies the infrastructure gaps hiding in your process. Most firms discover 2–4 issues they were not aware of.
Learn About the Audit →