The Evidence-Led Shopping Centre
Retail real estate runs on received wisdom. The book replaces it with evidence — and this companion turns every framework in it into a tool you can run on your own asset, your own deal, today.
Every rule of thumb in retail leasing gets tested against data and the academic record — kept when it survives, retired when it doesn't.
From inter-store externalities to the renewal premium to capital discipline — the frameworks connect into one way of running a shopping centre.
All 109 formulae run free on this page. The cases, the derivations and the judgment calls behind them are in the book.
The Formula Workbench
Every quantitative relationship in the book — each stated as the book states it, with simple inputs where the form is closed and the book's own cautions attached. Change a number, see the answer move. When a result surprises you, the chapter behind it explains why — that part is in the book →
Chapter 1 — Introduction to Shopping Centres
Chapter 3 — Typologies and Lifecycle
Chapter 5 — Retail Leasing Fundamentals
Chapter 6 — Advanced Lease Structuring
Chapter 7 — Turnover, Percentage and Anchor Rent
Chapter 8 — Revenue Management and Commercial Optimisation
Chapter 9 — Anchor Strategy and Tenant Mix
Chapter 10 — Operations and Facilities Management
Chapter 11 — Marketing, Activations and Placemaking
Chapter 12 — Customer Experience and Loyalty
Chapter 13 — Development and Delivery
Chapter 14 — Redevelopment, Repositioning and Adaptive Reuse
Chapter 15 — Financial Planning and Centre Valuation
Chapter 16 — Asset Management and Value Creation
Chapter 17 — Retail Real Estate as an Investment Class
Chapter 18 — Risk Management and Insurance
Chapter 19 — Legal and Regulatory Frameworks
Chapter 20 — Technology and the Operator's Data Estate
Chapter 21 — ESG and Responsible Retail Development
Chapter 22 — Location and Spatial Theory
Chapter 23 — Competition and Market-Structure Theory
Chapter 25 — Consumer and Pricing Research
Chapter 26 — Causal Measurement and Impact Attribution
Chapter 27 — Big Data, AI and Predictive Modelling
How evidence-led is your centre?
Twelve operating practices from the book. Answer honestly — the score maps your weakest answers straight to the chapters (and the live tools) that fix them. Shareable, so the whole team can compare.
0 of 12 answered — finish to see your score.
Where to start
The book is one operating system, but nobody reads an operating system front to back. Start where your job hurts.
Price the deal, set the breakpoint where sales will land, and pick the tenant worth most to the asset — not the one shouting loudest.
Run the income line like a portfolio: OCR health, WALE, concentration, downtime — measured monthly, not discovered at year end.
From the page to the portfolio
Stores change each other's sales — anchors and magnets generate footfall the rest of the mall monetizes (Brueckner 1993; the Homart case).
Highest & Best tenant engine — cross-shop synergy matrix, footfall externality scoring, cannibalization penalties on every vacant unit.
A tenant can pay what its sales can carry. Category price points set the band; OCR past ~15% strains, past 20% breaks.
ICSC category taxonomy with rent bands by price point; live OCR health on every leased unit with sales declarations.
A sitting tenant renewing is not a new deal — the evidence says renewals should price 13–20% above the sitting rent, not below asking.
Renewal engine: every expiring lease priced against the premium band, with keep / re-tenant recommendations from trailing sales.
Percentage rent aligns landlord and tenant — if the breakpoint is set where the evidence says sales will land.
Natural and artificial breakpoint math in every deal's economics; overage computed from monthly declarations.
The right tenant for a unit is the one that maximizes the asset's total value — not the highest headline rent.
Value waterfall per candidate: rent capacity + externalities + synergy − cannibalization, ranked.
Every dark day burns the underwritten rent. Downtime must be priced into every leasing decision.
The downtime clock: days vacant × budget rate, accrued and ranked across the portfolio.
The working vocabulary
Every term the frameworks lean on, defined the way the book uses it — terms with a live calculator link back into the workbench.
A tenant large or magnetic enough to generate footfall for the whole centre — a grocer, department store or entertainment box. Anchors are paid for the externality they produce, which is why their rent reads low.
A negotiated sales threshold for percentage rent, set above or below the natural breakpoint to shift risk between landlord and tenant.
A tenant's (or landlord's) right to end the lease early at defined dates — an embedded option with a real price, not boilerplate.
Common-area maintenance — the tenant's contribution to running the centre (cleaning, security, utilities, management), charged beside base rent.
Sales a new tenant takes FROM existing tenants in the same category, rather than adding to the centre. The mix penalty the Highest & Best engine prices.
Capitalization rate — NOI divided by value. The market's single-number summary of risk, growth and quality for an income stream.
A tenant's right to rent relief or exit if named anchors or a stated occupancy level go away. A contingent liability most operators discover too late.
The credit standing behind a lease — a national parent guarantee reads very differently from a single-unit franchisee.
The share of one store's customers who also visit another. High cross-shop pairs (beauty × apparel, fitness × athleisure) are the grammar of tenant mix.
A unit that is leased or held but not trading. It pays rent (maybe) but produces no footfall — and footfall is what neighbors are paying for.
The precise premises let to a tenant — and, as a verb, splitting a large unit into smaller lettable parts (frontage math decides feasibility).
Days a unit sits vacant between leases. The book prices it: days × budget rate, accrued — vacancy is a cost, not a pause.
Contractual annual rent uplifts — fixed percentage, CPI-linked or stepped. Structure changes cash enormously at the same face rent.
A tenant's protection against the landlord leasing to named competitors — valuable to the tenant, a constraint on future mix moves for the landlord.
Landlord capital contributed to a tenant's shopfit (tenant improvements). Underwritten as invested capital that must earn a cash return.
The customer traffic one store generates that other stores monetize — the inter-store externality at the heart of the book (Brueckner 1993; the Homart case).
The width of a unit's face to the mall or street. Frontage sells; splits that leave a sliver of frontage fail. The book's split rule needs ≥3.5m per demise.
Gross leasable area — the floor area a tenant pays rent on. The denominator of nearly every ratio in the book.
Spatial theory (Reilly, Huff) predicting how customers divide between competing centres by size and distance — the evidence behind trade-area math.
Herfindahl–Hirschman Index — sum of squared income shares. Turns 'feels diversified' into a measured concentration number.
A capital payment from tenant to landlord for the right to a unit — common in MENA and prime pitches. Treated as return OF capital or income depending on structure.
Landlord's right to end a lease if a tenant's sales stay below a threshold — the mirror of a co-tenancy right, and a mix-management tool.
The structured summary of a lease's economic and operational terms — the thing the AI now reads out of the PDF so humans stop re-keying it.
Letter of intent — the pre-lease agreement on headline terms. Where the economics are actually decided; the lease mostly writes them down.
A smaller tenant with outsized pull — a cult coffee brand, a flagship gym. Generates externality without anchor-scale GLA.
The sales level where percentage rent exactly equals base rent (base ÷ rate). Below it, percentage rent is decorative; above it, the landlord shares upside.
Net effective rent — face rent restated for free rent, fit-out contributions and incentives over the term. The number that makes two deals comparable.
Net operating income — rents plus recoveries minus operating costs. The income line that valuation capitalizes.
Occupancy-cost ratio — total occupancy cost (rent + CAM + marketing) as a share of tenant sales. Past ~15% strains; past 20% breaks. The book's favorite early warning.
Percentage rent actually paid above the breakpoint — the landlord's share of tenant upside, computed from sales declarations.
Rent expressed as a share of tenant sales, usually above a breakpoint. Aligns landlord and tenant — if the breakpoint is set from evidence.
The 13–20% uplift over sitting rent that the evidence supports at renewal — the sitting tenant's avoided relocation cost, captured by the landlord.
The tenant's periodic report of sales — the raw material for OCR, overage and every revenue-management decision. Certified annually.
Tenant sales per unit of area (per sq ft or sq m per year) — the productivity number that decides what rent a category can carry.
The portfolio of tenants as a deliberate composition — categories, price points, adjacencies — managed for total asset value, not unit-by-unit rent.
The geography a centre actually draws from — primary, secondary, tertiary — estimated from drive times, gravity models and observed behavior.
British usage for a vacant unit — see downtime. Voids burn underwritten rent every day they last.
Weighted average lease expiry — remaining term weighted by income, not by unit count. The honest picture of expiry risk.
Weighted average cost of capital — the blended cost of debt and equity funding the asset; the floor any investment's return must clear.
In this suite: the moment a signed lease leaves the deal-making system and enters lease administration. Deal-making before signature; administration after.
The frameworks are free. The why is in the book.
You've just run the same numbers the book derives — the evidence, the case studies and the arguments that make them defensible in a negotiation are on the page.
📖 Get your copy of The Evidence-Led Shopping Centre