Investor List Manager

New listing.
The two right buyers.

Manage your investor list, match each new listing to the right buy-box, and push tailored outreach only to the matches that land. Buy-box dimensions, match scoring, three-touch cadence, pipeline tracking. The buy-side equivalent of having every investor's brief in your head.

~ 60 second match 8 buy-box dimensions All 17 tools, $59/mo
Match Results 248 Maple Lane · Austin TX
Investors
Listings
Matches
Outreach
New Listing
248 Maple Lane
4-unit duplex · Austin TX · $1.4M · 8.2% projected cap
Top Matches
Patricia Lin Texas BRRRR · $1-3M range
94%
Marcus Whitfield Multifamily Sun Belt
78%
Sarah Chen Geo mismatch · skip
41%
Daniel Reyes Below capital · skip
22%
2 matches · tailored outreach ready Send 2 Emails
Per match
60s
Listing to outreach
Dimensions
8
Buy-box factors
0s avg
Per match
0
Buy-box dimensions
0+
Investors per agent
0x
Close rate vs blast
The Match Engine

Listing in.
The right two or three investors out.

Patricia hunts Texas BRRRR. Marcus is multifamily Sun Belt. Sarah likes Mountain West short-term. Daniel only writes 1031 stabilized checks above $20M. Watch the engine read each listing and surface the exact investors whose buy-box fits.

New Listing

248 Maple Lane, Austin TX

4-Unit Duplex · BRRRR Candidate
Price
$1.4M
Cap Rate
8.2%
Asset
Multifamily
Geo
Texas
Investor Matches 58 seconds
Patricia Lin Texas BRRRR fit · capital range $1-3M
94% Top Match
Marcus Whitfield Multifamily, Sun Belt · below his usual capital
78% Outreach
Sarah Chen Geo wrong · she does Mountain West STR
41% Skip
Daniel Reyes Below capital floor · he writes $20M+
22% Skip
Spreadsheet Blast vs Buy-Box Match

Forty investors,
two right for this deal.

The agent who blasts every new listing to all forty investors burns trust on every miss. The agent who knows each investor's buy-box and only sends the deals that fit gets returned calls. The difference is forty minutes of setup once, then sixty seconds per deal forever.

Spreadsheet Blast

"Forwarded for your consideration"

  • Same listing forwarded to all 40 investors regardless of fit
  • Investors who get five irrelevant deals stop opening your emails
  • Buy-box criteria live in your head, your notes app, or a stale spreadsheet
  • No tailored framing per investor, every email reads identically
  • ~ 5 percent reply rate, deal velocity tied to forwarding volume
Investor List Manager

Two or three investors who fit

  • Each listing scored against every investor's buy-box automatically
  • Outreach goes only to investors above the match threshold you set
  • Buy-boxes structured as data: 8 dimensions, editable, versioned over time
  • Each outreach email tailored to the investor's actual fit reasons
  • ~ 18 percent reply rate, returned calls because the deals are real
How It Works

Four steps,
sixty seconds per deal.

01

Import investors

Bulk import from your CRM, contacts, or spreadsheet. Each investor gets a profile: name, contact, capital range, recent acquisitions, response history.

02

Define buy-box

For each investor, set the eight buy-box dimensions: capital, geography, asset class, deal type, cap rate target, LTV preference, hold period, risk tolerance.

03

Match new listings

Drop a listing in. The engine scores it against every investor in your list. Top matches surface with fit reasons; mismatches are explained so you can override.

04

Push outreach

Each top match gets a tailored outreach email referencing why this deal fits their box. Three-touch cadence built in. Responses pause the cadence automatically.

Sample Matches

Four deals,
four very different match sheets.

The featured Manhattan stabilized retail trade matched to the only investor whose box it fits, plus three abbreviated match sheets across asset classes: Texas BRRRR duplex, Denver multifamily tower, Aspen short-term cabin.

Featured Match Sheet · 1031 Stabilized $24M

412 Pearl Street, Manhattan

Stabilized retail · 1031 candidate · 5.8% cap · 18-yr WALT

Daniel Reyes 1031 stabilized national · capital $10-30M · 5-7% cap target
96% Top Match
Marcus Whitfield Asset class wrong · he does multifamily, not commercial retail
41% Skip
Sarah Chen Asset class + geo wrong · she does Mountain West STR cabins
12% Skip
Patricia Lin Asset, capital, and geo all wrong · she writes Texas BRRRR $1-3M
8% Skip

A $24M stabilized Manhattan retail trade with an 18-year weighted average lease term lands precisely in Daniel Reyes' box: he is hunting for 1031 replacement property, writes between $10M and $30M, prefers stabilized commercial in major metros, and targets 5-7 percent cap. The other three investors in the suite are not even close. The right answer here is one outreach to Daniel within an hour of the listing breaking, not forty emails.

Texas BRRRR$1.4M

248 Maple Lane, Austin

4-unit duplex · 8.2% cap · BRRRR candidate

Patricia Lin 94%

Texas BRRRR fit, capital range, asset class all square. Single best outreach.

Sun Belt Multifamily$8.5M

1142 Pine Tower, Denver

32-unit apartment · 7.4% cap · value-add

Marcus Whitfield 91%

Sun Belt multifamily focus, sub-$10M sweet spot, value-add appetite.

Mountain West STR$4.2M

88 Cliffside Heights, Aspen

Luxury cabin · 12% projected STR yield

Sarah Chen 88%

Mountain West STR fit, capital in range, STR-permissive jurisdiction.

Buy-Box Dimensions

Eight dimensions,
one match score.

Each investor's buy-box is structured along eight dimensions. The match score is the joint result of how well a listing fits across all eight. Dimensions are individually weightable per investor if you know one matters more.

01

Capital Range

Min and max equity check the investor will write per deal. Capital floor is hard; ceiling is soft and signals appetite for stretch deals.

Patricia: $1M-$3M · Daniel: $10M-$30M
02

Geographic Preference

States, metros, or sub-markets where the investor actively buys. Some investors are national, some are tightly focused on one market they know cold.

Patricia: Texas only · Daniel: National
03

Asset Class

Residential SFR, multifamily 2-4 unit, multifamily 5+, commercial retail, office, industrial, hospitality, mixed-use, land. Most investors specialize.

Marcus: Multifamily 5-50 unit only
04

Deal Type

BRRRR, value-add, stabilized cash-flow, ground-up dev, opportunistic, 1031 replacement. The deal type often matters more than the asset class itself.

Patricia: BRRRR · Daniel: 1031 stabilized
05

Cap Rate Target

Minimum acceptable in-place or projected cap rate. Stabilized buyers care about going-in cap; value-add buyers care about pro-forma stabilized.

Marcus: 6.5%+ in-place · Daniel: 5-7%
06

LTV Preference

Typical leverage the investor uses. Some are all-cash, some target 65 percent LTV, some are 80 percent leverage shops. Drives whether financing-contingent offers fit.

Daniel: All-cash 1031 · Marcus: 70% LTV
07

Hold Period

How long the investor typically holds before exit. BRRRR refis at 12 months. Value-add holds 3-5 years. 1031 stabilized buyers hold for decades.

Patricia: 12mo refi · Daniel: 25yr hold
08

Risk Tolerance

Conservative stabilized, moderate value-add, opportunistic ground-up, or distressed. Combined with deal type, drives whether a hairy deal even gets surfaced.

Sarah: Moderate STR · Daniel: Conservative
Features

Everything that goes
into returned calls.

📊

Bulk import

Import from Follow Up Boss, kvCORE, Salesforce, or a CSV. Existing notes attach as buy-box hints. Most agents are set up in twenty minutes for an existing investor list of 30-60 names.

🎯

8-dimension scoring

Capital, geo, asset class, deal type, cap rate, LTV, hold, risk. Each dimension contributes to a 0-100 score. Tunable weights per investor if you know one factor matters more.

✏️

Tailored outreach

Each match generates a draft email referencing the investor's actual fit reasons by name. Subject line written for the investor, not for everyone. Edit any line, send when ready.

🕔

Three-touch cadence

Day 0 listing alert, Day 3 nudge with one new comp, Day 7 close-out. Replies pause the cadence automatically. Outreach stops the moment the investor signals interest.

📂

Pipeline tracking

Per-investor history: deals shown, deals offered on, deals closed. Per-deal history: investors notified, investors who replied, investor who won. Your buy-side performance, measurable.

🔒

CRM sync

Follow Up Boss, kvCORE, Sierra Interactive, BoomTown, Realvolve, and Salesforce on Pro and Brokerage plans. Investor profiles, match history, and outreach status sync both ways.

FAQ

Investor List Manager, answered.

Most do not. The tool starts with what you already know: past deals you have shown them, deals they have closed, conversations you remember, public deal records if they file as an LP or fund. From those signals it drafts a starting buy-box per investor that you review and edit. Most agents discover their estimate is 70 percent right out of the gate, then refine the rest by sending a single "I have you down for X, Y, Z, look correct?" email which usually nets a clarifying reply.

Each of the eight buy-box dimensions is scored against the listing on a 0-100 scale. Hard dimensions (capital floor, geography, asset class) are weighted heavier than soft ones (cap rate target, hold period). The composite score is the joint match. By default any score above 75 surfaces as a "send outreach" recommendation; 50-75 surfaces as a "review then decide"; under 50 is filtered out. The threshold is tunable per agent or per deal type if you want.

Yes. Any match can be promoted, demoted, or skipped. Override reasons get logged so the model learns your judgment over time. If you know an investor is making an exception this quarter (raising a fund, exiting a market, taking a sabbatical), drop a one-line note on their profile and the engine factors it in until you remove the note.

Top matches get the three-touch cadence: Day 0 listing alert, Day 3 nudge with one new comp, Day 7 close-out. Any reply pauses the cadence for that investor instantly so you take it from there. Investors who pass on three deals in a row get a "still active?" check-in. Investors who close get tagged for a higher tier of subsequent outreach. The pipeline view shows per-investor cadence state at any time.

Yes on the Team and Brokerage plans. Shared investor lists with per-investor permissions: who can see, who can match, who can outreach. Most brokerages use this for a single shared institutional buyer list while individual agents keep their personal investor relationships private. Brokerage-level analytics show which investors are most active across the firm.

Start Free

Stop forwarding deals.
Start making matches.

Try Investor List Manager free for seven days. All seventeen tools included, no credit card required.