Specialty café
11.2% rent · Soft quality ceiling; rent in GO band.
Good entry window — demand and rent signals are aligned; move before lease terms shift.
Memo · 12 May 2026 · Drafted from 5 live data sources
Sourced from Google Places, ABS demographics · Analysis 12 May 2026
Locatalyze
Location Intelligence Memo
Confidential · Prepared for the recipient
Subject site
Specialty Café
Report ID
SAMPLE-L
Generated
12 May 2026
Data as of
12 May 2026
Prepared by
Locatalyze
Executive Summary
Book a site visit and CPI-cap the lease.
Modelled revenue
A$68,000
per month, base case
Rent to revenue
11.2%
band 8–18%
Break-even
—
needs verified revenue & costs
Top risks to verify
Confidence statement
Inputs are strong (88% of inputs measured live). The verdict is defensible — proceed with standard diligence.
Quick read
Analysis
Detail panels
Reference
88% report reliability · 100% inputs indicative · Mixed
Report reliability 88% · Partial: footfall & street activity
Proceed with normal lease diligence — structural signals and confidence align.
Hover axis tips · drag to rotate · click to jump to evidence
Biggest driver · Profitability 80 (25% weight)
Explore axes
Hover spikes or rows · click for breakdown and jump to evidence
Strengths
Biggest risk
If you only fix one thing, address this first — Fit-out quote exceeds $165k without revenue upside ($165k ≈ 14-month payback at modelled net margin of $12,000/mo (setup $147,200 + 12% contingency)).
Key numbers
Example report — Leederville WA specialty café at 214 Oxford St, produced by the same live pipeline as paid reports (Google Maps competitors, commercial lease data, SerpApi market signals · May 2026).
8 agents
Live data pipeline
500m
Competitor radius
GO / CAUTION / NO
Rules-based verdict
Powered by Google Places + ABS demographics + live Australian commercial rent estimates · First report free · Sources →
2,400+
Location reports generated
40+
City markets covered
Platform totals · Australia · 2025–2026
Same address, different business models
214 Oxford Street, Leederville WA 6007 at $7,600/mo — each row is a full pipeline run on the same pin and rent; only the business model changes.
Specialty café
11.2% rent · Soft quality ceiling; rent in GO band.
Restaurant
10.1% rent · Evening dining gap on Oxford St.
Gym
14.1% rent · Rent at caution; needs member volume.
Retail
18.1% rent · F&B-led foot traffic; rent too high.
The old way
The Locatalyze way
Appendix A1
Each report is assembled by an 8-agent pipeline (A1–A8) that runs in parallel against live data sources — Google Maps for competitors, ABS Census 2021 for demographics, and category- specific financial benchmarks. Rent benchmarks and demand scores are AI-estimated from suburb context and category patterns. Agents that fail or time out fall back to category-level benchmarks; the confidence label reflects the proportion of live vs estimated data.
Composite score weighting
| Rent burden | 20% |
| Competition | 25% |
| Demand | 20% |
| Profitability | 25% |
| Location | 10% |
Verdict ladder
Rent is compared against a workable band of 8–18% of monthly revenue for the category — the industry-standard hospitality viability threshold, consistent with CBRE Australian Retail Benchmarks and Retail Doctor Group occupancy-cost guidelines. Inside the band means rent burden sits within the model range; above the band signals margin risk unless pricing is premium.
Appendix A2
Locatalyze blends measured and benchmark data. The table below lists the source for each major section. The Data Quality section in the main report shows which agents resolved live for this specific report.
| Section | Primary source | Fallback |
|---|---|---|
| Competition | Google Maps Places API | Category density benchmarks |
| Demographics | ABS Census 2021 | Suburb-level inference |
| Foot traffic | Pedestrian count register | Suburb-level inference |
| Rent benchmark | Live listing register | Category band for suburb |
| Demand | Live location signals | Category demand index |
| Revenue model | Operator inputs + revenue model | Category cost stack |
| Trajectory | ABS + listings velocity | State trend benchmark |
Appendix A3
Every Locatalyze report carries a confidence label. The label is informational — content is never hidden based on confidence. A low-confidence report displays every section with the verdict dimmed and qualifiers applied. This appendix explains what each label means so a recipient can read the memo with appropriate weight.
Most agents resolved against live data. Verdict is defensible — proceed with standard diligence.
One or two key inputs are estimated. Treat the verdict as a working estimate; the items listed under Top Risks need verification before signing.
Inputs are thin. The score is benchmark-derived — read the memo as direction-of-travel, not a precise site measurement.
Appendix A4
Appendix A5
This memo is decision support, not financial, legal, or tax advice. Locatalyze synthesises public, licensed, and modelled data into a structured read; figures are model outputs subject to the assumptions and data quality described above. Recipients must conduct their own diligence before committing capital, signing a lease, or making any other binding decision.
Reference
E-CAFE
Subject site
214 Oxford Street, Leederville WA 6007
Business type
Specialty Café
Generated
12 May 2026
Analysis model
Locatalyze v6.0
Document type
Location Intelligence Memo
Classification
Confidential
Issued by
Locatalyze · www.locatalyze.com
Next step
Stop guessing on rent. Run your address.
Live competitors, suburb rent bands, and a clear GO / CAUTION / NO — built from your Mapbox pin and lease inputs.