Commercial Real Estate Market Intelligence and Tenant Demand Research

Unlock actionable, revenue-driving insights for your commercial property portfolio with Research Bureau’s Commercial Real Estate Market Intelligence and Tenant Demand Research. We combine market experience, rigorous data science, and spatial analysis to deliver research that drives leasing velocity, optimises tenant mix, and reduces vacancy risk. Whether you are an investor, asset manager, developer, broker, lender, or municipality, our tailored research converts uncertainty into a clear leasing and investment strategy.

Why market intelligence and tenant demand research matters now

Commercial real estate markets are shifting faster than ever—driven by changing tenant preferences, hybrid work, e‑commerce, logistics demand, and economic cycles. Generic comparables and anecdotal feedback no longer deliver competitive advantage. You need:

Evidence-based demand forecasts to size and time leasing activity.
Spatial analysis to define catchments, trade areas, and site potential.
Tenant segmentation to attract the right brands and minimise churn.
Scenario planning to stress-test rent targets and lease concessions.

Research Bureau translates complex market signals into clear, implementable leasing strategies that maximise net operating income and capital outcomes.

Who benefits from our service

Our research supports decision-making across the commercial real estate value chain:

Institutional and private investors evaluating acquisition or disposition.
Asset managers optimising leasing strategies and tenant mix.
Developers sizing and phasing new projects (office, retail, industrial).
Leasing brokers and agency teams seeking priority tenants.
Lenders and funds performing underwriting and risk assessment.
Municipalities and economic development agencies planning commercial corridors.

Core services: what we deliver

We offer an integrated suite of services that can be delivered as standalone projects or combined into a comprehensive program:

Tenant demand analysis and forecasting
Trade area and catchment analysis (GIS)
Rent and yield benchmarking
Leasing velocity and absorption modelling
Tenant segmentation and prospect lists
Tenant mix optimisation and synergy analysis
Pipeline and competitive set analysis
Scenario analysis and downside stress-testing
Custom dashboards, interactive maps, and financial models
Confidential presentations for boards, lenders and investors

Each deliverable is tailored to your asset type, market, and decision timeline.

Methodology — how we turn data into decisions

Our approach combines primary research, secondary data, rigorous analytics, and field validation. We structure every engagement into four phases to ensure clarity and fast time-to-insight.

Phase 1 — Scope, objectives and data inventory

We clarify outcomes, KPIs and target use-cases with stakeholders. This phase defines:

Target assets and geographies
Desired deliverables and formats
Confidentiality and data-sharing requirements

We then inventory available internal data (leases, footfall, CRM) and external sources (census, mobility, POI, trade data).

Phase 2 — Data collection and field validation

We combine high-quality data sources to create a multi-layered view:

Proprietary and open-source datasets: population, income, employment, transport, and property registers.
Mobility and visitation data from mobile-device aggregators to map true catchment behaviour.
Point-of-interest (POI) and business registry data for tenant supply and competitor intelligence.
Lease-level transactional data for rent comps and concession analysis.
Primary surveys and mystery shopping to validate tenant demand and customer preferences.

Field validation ensures models reflect real-world leasing conditions rather than theoretical demand.

Phase 3 — Analysis and modelling

We translate raw inputs into decision-ready outputs using robust quantitative techniques:

Spatial analytics and gravity models to forecast trade area attraction.
Time-series and ARIMA models for rent and vacancy forecasting.
Hedonic regression for rent drivers and comp analysis.
Survival analysis to model tenant churn and lease renewal probabilities.
Propensity models to generate tenant prospect scores.
Scenario and Monte Carlo sensitivity testing to quantify upside/downside.

All models include transparent assumptions and are stress tested against alternative economic scenarios.

Phase 4 — Deliverables, implementation and monitoring

We deliver a package designed for immediate implementation:

Executive summary with clear, prioritised recommendations
Interactive maps with heatmaps and site scoring
Excel-based leasing and financial models with scenario toggles
Ranked tenant prospect list with contact and fit-score
Presentation-ready slides for stakeholders and lenders
Optional integrated dashboard (Power BI/Tableau) for ongoing monitoring

We also provide an implementation support window to guide leasing teams through execution.

Deliverables — what you will receive

Every engagement produces a consistent suite of outputs. Examples include:

Concise executive report (PDF) with strategic recommendations.
Detailed appendix with data sources, model logic and confidence bands.
GIS maps: primary catchment, secondary catchment, competitor locations, drive-time polygons, heatmap overlays (population, income, footfall).
Leasing financial model: rent curves, concessions, TI estimates, NPV/IRR sensitivity.
Tenant prospect matrix: suitability, size, expected rent, likelihood, contact notes.
Implementation checklist and 60/120/180-day leasing playbook.

We can customise file formats to match internal workflows and provide briefings to leasing teams.

Example scenarios (realistic, anonymised)

Below are sample case analyses to illustrate the depth of our work.

Example 1 — Urban retail centre repositioning (Johannesburg‑CBD)

Primary 3 km catchment: 150,000 residents; daytime employment catchment: 45,000.
Current retail supply (within 3 km): 23,000 sqm; occupied: 77%.
Our demand model estimates demand for grocery and quick-service F&B of ~5,500 sqm based on income and footfall trends.
Identified a 2,200 sqm supply gap for convenience grocery and 1,000 sqm for QSR, making the centre a target for a mid-size grocer and food court expansion.
Recommended offer: 36-month tenant improvement package with stepped rent to secure an anchor grocer and a partnership with a national QSR franchise cluster.

Impact: Projected uplift in centre footfall by 18% and net operating income by 9% within 12–24 months.

Example 2 — Industrial logistics park (Durban Corridor)

Commuter and freight corridor analysis using traffic counts and firm location data.
Demand forecast points to 70,000 sqm of immediate demand for 3PL and cold-storage over next 18 months.
Competitive pipeline shows 45,000 sqm scheduled for completion in the same period, concentrated north of the site.
Recommendation: Phase one delivery of 40,000 sqm with modular 5,000 sqm units and dedicated cross-dock bays; pricing strategy with short-term introductory rent + CPI step.

Impact: Faster leasing velocity, reduced vacancy, and improved yield relative to competing developments.

KPIs and metrics we measure

We quantify results using industry-standard and investor-relevant KPIs:

Vacancy rate (current and forecast)
Net absorption (sqm per quarter/year)
Rent growth and effective rent (including concessions)
Time-to-lease / leasing velocity
Tenant retention and churn probability
Conversion rates for tenant prospect outreach
Trade area penetration and spend capture rates
NPV, IRR and payback on leasing incentives

Each KPI includes a confidence interval and scenario sensitivity.

Tenant segmentation and prospecting — our approach

Accurate tenant targeting requires more than an industry label. We segment tenants across multiple dimensions:

Property fit: size, frontage, loading, parking needs
Business model: destination store, convenience, omni-channel
Financial capability: capex tolerance, lease term, covenant strength
Brand strategy: expansion pace, territorial rules, cluster preferences
Customer profile fit: demographic and psychographic alignment with trade area

We then score tenants using a proprietary fit model and produce prioritised prospect lists.

Tenant mix optimisation — tactical recommendations

A well-crafted tenant mix balances draw, dwell and spend. Our optimisation considers:

Anchor vs. satellite mix to maximise cross-shopping
Synergy mapping (e.g., fashion + beauty, gym + healthy-food)
Unit sizing and flex units for pop-ups and incubators
Rental parity and tiered rent strategy
Co-tenancy clauses and exclusivity risks

We produce a recommended floorplan and leasing script for agents to execute.

Competitive and pipeline analysis

Understanding future supply is critical. Our pipeline analysis includes:

Accurate timelines for completions and pre-leasing status
Quality-adjusted comparisons (age, amenities, parking ratio)
Structural vacancy versus operational vacancy
Pricing and concession tracking for comparable stock

We quantify market absorption capacity to avoid overbuilding and time your leasing drive.

Pricing packages — choose the right depth

We offer modular packages to match project size and complexity. Below is an indicative comparison.

Package	Best for	Deliverables	Typical timeline
Starter Market Scan	Single asset or early-stage scoping	Executive summary, 1 map, 1-month demand snapshot, prospect shortlist	2–3 weeks
Core Demand Study	Single asset, transaction support	Full report, GIS catchment, leasing model, 3 scenarios, 1 briefing session	4–6 weeks
Portfolio Intelligence	Multiple assets/portfolio strategy	Consolidated portfolio report, dashboards, tenant mix optimisation, ongoing monitoring (3 months)	6–8 weeks
Bespoke Enterprise	Complex development or underwriting	Custom models, primary surveys, stakeholder workshops, API/dashboard integration	By scope

Pricing is project-specific and depends on scope, asset classes, and data needs. Share project details for a tailored quote.

Typical timeline and milestones

A typical single-asset assignment follows this timeline:

Week 0: Project kickoff, objectives and data transfer
Week 1–2: Data collection and field validation
Week 3–4: Modelling and preliminary results
Week 5: Draft report and stakeholder review
Week 6: Final report, delivery and implementation workshop

Faster turnarounds and phased deliveries are available for urgent mandates.

Technology and tools we use

We combine industry-standard software and proprietary methods to produce robust outputs:

GIS: ArcGIS, QGIS for spatial analysis and mapping
Data ETL: Python, SQL for data cleaning and integration
Modelling: R and Python for time-series, regression and simulations
Dashboards: Power BI and Tableau for interactive monitoring
Mobility and POI data partners; lease and transaction data providers
Excel and Google Sheets for financial models and client-friendly deliverables

We adapt to client-preferred platforms for seamless integration.

Privacy, confidentiality and contracting

We treat client data and strategy as highly confidential. Research Bureau can:

Sign NDAs before data exchange
Deliver redacted public summaries for marketing
Provide secure file transfer and controlled-access dashboards

We follow best-practice data governance and comply with applicable data protection laws.

ROI — how research translates to financial outcomes

Our clients typically realise measurable uplifts through targeted research-led interventions:

Faster leasing velocity reduces time-to-income and holding cost.
Better tenant mix raises footfall and per-visit spend, increasing turnover rents for retail properties.
Improved underwriting accuracy cuts acquisition risk and supports better pricing decisions.
Strategic phasing and pipeline awareness protect against overexposure to competitive completions.

We quantify projected ROI in every model, providing upside/downside scenarios to support board-level decisions.

Frequently asked questions

How accurate are your forecasts?
- We provide confidence bands and scenario ranges. Accuracy improves with stronger local data inputs and verified lease histories. Models are stress-tested against alternative economic scenarios.
Do you operate outside South Africa?
- Yes. We have experience across major African markets and international gateway cities. Local data availability determines scope; we partner with regional providers to ensure coverage.
Can you engage directly with tenant prospects?
- We provide prospect lists and outreach scripts. Direct introductions or managed leasing campaigns can be scoped as an add-on.
What level of detail is in the financial models?
- Models include rent rolls, vacancy curves, concession schedules, TI costs, NPV/IRR calculations and sensitivity toggles. They are delivered in Excel for client edits.
Will you sign an NDA?
- Yes. We sign NDAs and handle data under strict confidentiality terms.

How to get started — simple next steps

Share high-level project details via the contact form or email us at info@researchbureau.co.za. Include asset addresses, asset type, target outcomes and desired timeline.
Click the WhatsApp icon on the page for rapid clarification or to schedule a discovery call.
We will respond with a short discovery questionnaire and a no-obligation proposal and timeline estimate.

We can begin with a scoped Starter Market Scan if you want fast insight with limited commitment.

Practical recommendations you can implement immediately

Start tracking effective rent (including concessions) rather than headline rent to reflect true market pricing.
Prioritise 6–12-month tenant targets using our fit-scored prospect lists rather than generic industry categories.
Use short-term popup or incubator leases to test new retail concepts and fill space while courting anchor tenants.
For offices, offer flexible lease terms with co-working partnerships to capture hybrid workers and reduce vacancy risk.
In industrial assets, design smaller modular units to capture SMEs and 3PLs who prefer shorter commitments.

Each recommendation is backed by market indicators and can be applied immediately by leasing teams.

Why choose Research Bureau

Experienced analysts with deep knowledge of commercial asset classes and local markets.
Data-driven models with clear assumptions and scenario testing.
Action-oriented deliverables designed for leasing execution and investor reporting.
Flexible engagement formats from rapid scans to full enterprise intelligence programs.
Confidential and professional handling of sensitive client data and strategic outcomes.

We partner with clients to ensure our research moves from insight to measurable performance.

Contact us for a tailored proposal

Ready to reduce vacancy risk, accelerate leasing and optimise returns? Share your project details so we can prepare a custom quote.

Email: info@researchbureau.co.za
Use the contact form on this page to upload asset data and briefing notes.
Click the WhatsApp icon to chat with a research lead now.

We typically respond within one business day and can sign an NDA before you share sensitive materials. Tell us your priorities, and we’ll show you a practical plan, timeline and price.