How a Location Intelligence Report Changes the Way Brands Argue for (or Against) a Space

Introduction

Most “location debates” fail because they are really opinion tournaments: the founder loves the corner, finance hates the rent, ops worries about extraction, and marketing wants Instagramability. A Location Intelligence Report (LIR) is not a prettier map—it is a decision instrument that forces alignment on evidence, trade-offs, and what must go true for the store to work.

This guide explains how to structure LIR findings so founders, finance, landlords, and your own GMs can move faster—without buying false precision.

What a serious LIR must answer (minimum bar)

Before charts, answer in plain language:

• Who is the addressable customer in realistic drive/walk time—and who is not included?
• When do they show up (weekday lunch vs weekend family vs late night)—and how stable is that calendar through the year?
• What are they already buying nearby (substitutes and complements)—and where will you steal share vs grow category?
• What breaks the model if sales trail plan by 5–15%—rent step-ups, CAM shocks, or labour assumptions?

If those four answers are not explicit, you still have a brochure—not a memo.

Executive one-pager: how to lead so the meeting ends early

Page one should be brutally short: recommendation (go / go with conditions / no-go), top three reasons, top three risks, and next actions with owners and dates. Attach maps and charts as appendix—busy executives should be able to decide from page one plus a single sensitivity table.

Write conditions as testable statements: “Proceed if landlord confirms 400A upgrade by date X,” not “ensure power is okay.”

Finance-ready sensitivities (make the model portable)

Translate location signals into the language finance already speaks:

• Break-even sales at stated rent, CAM, and marketing loads.
• Rent-to-sales at 85%, 100%, and 115% of base forecast—and where internal guardrails trip.
• Payback months on fitout including landlord contributions and rent-free.
• Working capital through ramp: inventory, deposits, and pre-opening payroll.

Finance should not need to rebuild a second model to sanity-check your work—export assumptions as a small table they can paste.

Landlord and mall conversations: evidence as leverage

The same LIR that convinces your board also supports negotiation: rent-free tied to identified risks (visibility, anchor churn, access), CAM caps tied to historical variance, exclusivity contours tied to competitive overlap maps. Data-backed asks are harder to dismiss than “we need a better deal.”

Quality control: how to avoid fake precision

Good intelligence labels uncertainty. Separate directionally true signals (relative footfall intensity, competitive clustering) from exact claims you cannot defend. Document data vintage, radius definition, and known blind spots (seasonality, roadworks, upcoming supply).

Conclusion

Speed and discipline are friends when the memo is structured. Lokazen helps teams produce LIR-grade synthesis—so internal meetings spend time on decisions, not slide rebuilds, and external negotiations stay anchored in facts.

Work with Lokazen

Whether you are expanding retail or F&B, evaluating a mall offer, or listing a high-potential unit, Lokazen combines verified inventory with location intelligence and expert placement support.

Start your brand search or explore location intelligence on lokazen.in.