Every portfolio is already selling, and the only question left is which homes go.
A release list is chosen on operating grounds, and every criterion on it describes what a home costs now. Good Investment scores each home in the book within its own market and adds forward appreciation to the release criteria, so the same number of homes go out, to the same brokers on the same timing, and the book that stays is better positioned, with its price mix unchanged.
Good Investment supports analytical review and risk research. It is not an appraisal, credit decisioning system, or replacement for an institution's underwriting policy.
Where it fits
Choose this quarter’s release list with forward appreciation beside lease expiry and turn cost.
Keep the price mix of the retained book where it is while the book gets smaller.
Separate two homes with the same NOI, the same capex plan and the same lease timing.
Give the portfolio committee a release rationale a rating agency mark cannot supply.
Rank a whole held book on one basis, market by market, with coverage named.
Risk signals
Homes on the release list positioned well above their own market, sold for operating reasons alone.
Homes retained that are positioned in the weakest band of their market, invisible to a release rule built on cost.
A release rule sorted on price alone, drifting the book down-market while it sells.
A market where the retained homes cluster in the weak band, which a metro-level view reports as diversified.
Review workflow
1Share the release process you run today and the fields on the book. No customer data is needed for this step.
2Agree the population, the release volume already in the plan, and how coverage exceptions are handled.
3Receive every home back keyed on your identifiers: a score, a band within its price tier, a coverage status and a review route.
4Add forward appreciation to the release criteria. Same target count, same brokers, same timing, a different list.
What does a release list built on cost leave out?
The homes on a release list are chosen on operating grounds: lease expiry, turn cost, capex plan, submarket exit, liquidity need. Every one of those is a statement about what the home costs now. Two homes with identical NOI, an identical capex plan and identical lease timing are interchangeable on that list today, and one of them will run years behind its own market while the other runs ahead.
A rating agency models zero appreciation and an AVM prices the home today, so the forward question never enters the release decision. It is answered by default, with the market rate, and the market rate is the same for every home in the market.
For a holder that is a net seller, the release list is the one portfolio lever that decides what the book looks like in a decade. A rule that cannot see forward appreciation sells some of the homes it should keep and keeps some it should sell, every quarter.
How does forward appreciation enter the release criteria?
As one more column beside the ones you already use. Every home in the book comes back with a within-market score, reported as a band inside its own price tier, so the release committee reads it the way it reads turn cost: a reason to release, a reason to hold, weighed against the others.
The construction is the argument. The book is bucketed into price tiers first, then inside each tier the homes are ranked on the score and the weakest are released. Released and retained end up with the same price mix, so a price column has nothing left to sort on, and what the score finds is what remains after price is spent. A release rule sorted on price alone drifts the book down-market while it sells; this one does not.
Same target count, same brokers, same timing. What changes is which addresses are on the list.
Property Hub · Appreciation analysis
Sample homes
Home A3 bed · 1,840 sq ft · comp value $612k
House-level appreciation
Neighborhood basis
Top tier of comparable homes in Charleston SC
One of the strongest relative appreciation screens in the local market.
88th percentile
Bottom0-20
Lower20-40
Mid40-60
Upper60-80
Top80-100
Below marketMedianAbove market
Home B3 bed · 1,790 sq ft · comp value $598k
House-level appreciation
Neighborhood basis
Middle tier of comparable homes in Charleston SC
Near the comparison-set median, with no extreme relative signal.
52nd percentile
Bottom0-20
Lower20-40
Mid40-60
Upper60-80
Top80-100
Below marketMedianAbove market
The same live panel on two sample homes in one market. A comparative market analysis can defend a similar value for both, because they are close on size, age and recent nearby sales. The rank is where they separate, and a comp set is not built to show that. Run a real address
Two homes, same NOI, same capex: which one goes?
The one positioned to run behind its market. Comps establish that the two are worth the same today, the operating model says they earn the same, and a release rule built on cost cannot tell them apart. The within-market read ranks each against the homes it competes with, so the committee sees which of the two is positioned to hold its place and which is positioned to slip.
The read is measured on homes already owned for years, scored at a prior sale and observed at the next, which is the seasoned population a holder actually has. It is benchmarked against a price-based release rule on the same book, and the figure that goes on the brief is the one that survives price neutrality, with the raw comparison beside it.
Where does the weak band sit in the book?
A held book cut by metro can look diversified while its weak-band homes cluster in one market or one acquisition vintage. Ranking every home within its own market puts the whole book on one axis, so concentration is measured on something other than location: which markets, which vintages and which price tiers hold the homes positioned to run behind.
Coverage is reported as an output. Homes the model cannot support with enough local evidence come back marked unsupported, with the reason named, and routed to a person instead of ranked on an average. A book whose unsupported homes cluster in one market is telling you where its evidence is thinnest before a single ranked home is examined.
pool_review_output · within-market rank distribution
Illustrative data
Share of the metro's supported rows, by local quintile
Metro A
8.4% of pool by balance · 41 supported rows
0%20%40%
19%
21%
20%
21%
19%
Q1Q2Q3Q4Q5
Rows spread across the local distribution. This is roughly the mix you would expect from buying broadly inside the metro.
Metro B
8.1% of pool by balance · 38 supported rows
0%20%40%
34%
27%
18%
13%
8%
Q1Q2Q3Q4Q5
Nearly two-thirds of the rows sit in the bottom two local quintiles. The headline share matches Metro A, but the position inside the market is materially different.
Q1 is the weakest local quintile, Q5 the strongest. Both panels use the same vertical scale. Rank is a position within a market, not a forecast for a region.
Two metros carrying an almost identical share of the same pool, cut by where each row ranks inside its own local market. A state or metro exposure table reports these as the same 8% bet. A share table cannot express the distributions, because the variation happens underneath the unit it measures on. Figures are invented to show the shape of the view. Institutional real estate analytics
Who runs the review?
Asset management and the portfolio committee at a REIT or a fund holding single-family homes, where the release list is set each quarter and the criteria are operating ones.
Any holder that has stopped adding to the book and is now a net seller, for whom the release list is the only portfolio lever left.
The brief for this seat is built, and it goes out to a desk that asks. The model card and the validation pack go with it on the first call.
What does a pilot look like?
A portfolio with addresses and entry dates. We score every home as of its entry date, using only what existed before it, and return two ranks: the within-market score and the band inside its price tier, keyed on your identifiers with a coverage status per home. The ranks are locked and digested before you release anything, so a rank changed afterwards would stop matching the digest you hold.
You compare the list the score would have released against the list you released, on the homes whose later sales you now hold. This is the one pilot that runs the open test on your own book, and a negative result is a result you keep.
Fifteen minutes, then a pilot on the seat that fits.
Thirty seconds is enough: the desk this lands on, rough size, and the workflow you have in mind. We reply within 24 hours with the brief for that seat and a time to talk.
Frequently Asked Questions
What is a hold and sell review for a residential portfolio?
A review of which homes in a held book go on the release list and which stay. Today the list is chosen on operating grounds, such as lease expiry, turn cost and capex. Good Investment adds forward appreciation to the criteria: every home is scored within its own market and reported as a band inside its price tier, so the same number of homes go out and the book that stays is better positioned.
Does the release volume change?
No. Same target count, same brokers, same timing. The review changes which addresses are on the list, and it holds the price mix of the retained book where it was, because homes are ranked inside their own price tier and the weakest in each tier are the ones released.
Why not just release the most expensive homes?
A release rule sorted on price alone drifts the book down-market while it sells. Bucketing by price tier first and ranking within each tier on the score keeps the price mix of what you hold unchanged, and what the score finds is what remains after price is spent. The brief carries both the price-neutral figure and the raw comparison against a price-based rule beside it.
Our book is not your corpus. Does the read transfer?
The read is measured on homes already owned for years, scored at a prior sale and observed at the next, which is the seasoned population a holder actually has, and the served spread is the same on that population as on homes at entry. The pilot then runs the same test on your own book: we score every home as of its entry date and you compare the list the score would have released against the one you did.
Is this a valuation?
No. Your marks, whether appraisal, broker opinion or AVM, keep their job, and the read puts no price on anything. It is a relative position within the market each home competes in, translated into a rate above or below the area, with an interval and a confidence flag, and it sits beside the mark as a release criterion.
How is the portfolio file handled?
It goes to a cloud project created for your pilot, separate from the project that runs our product, and it is scored there by a job that exists only while it runs. No copy touches an employee machine. When the pilot ends we delete the objects, then the project, and send an attestation naming what was removed and when.