Know where your brand can reach customers, trade strongly and grow with confidence.
LoculReach helps retailers scan markets, select sites and forecast store potential using customer, spend, competitor and portfolio-fit evidence. The approach is built for formats from QSR drive-throughs and takeaway food to fashion, convenience, health, service and destination retail.
Scan the market
Find catchments, corridors and trade areas with the customer missions, spend capacity and competitive structure your format needs.
Select the site
Assess exact locations against demand, access, co-tenancy, competition, portfolio fit and practical format requirements.
Forecast the opportunity
Use performance data where available to estimate likely sales bands, confidence levels and the conditions that need to hold true.
Built for expansion decisions across retail formats.
The same decision framework can support a national QSR rollout, a shopping-centre fashion strategy, a health and service network, or a specialty retailer deciding which sites deserve deeper due diligence.
Rollout planning
Prioritise where to open next across metro, suburban, regional and corridor markets before resources go into detailed negotiations.
Format strategy
Match each opportunity to the right expression of the brand: drive-through, kiosk, inline store, food court, flagship, convenience or destination format.
Portfolio decisions
Understand which existing stores define the benchmark, which locations look misaligned, and which candidate sites resemble the right analogues.
Know where the brand belongs.
The tenant-finder logic behind Loculyze can be turned toward the retailer. LoculReach shows where a brand sits within a property portfolio, which locations resemble the right parts of its own network, and which environments support the intended format.
Compare candidate sites with successful stores and relevant portfolio analogues.
Identify the customer missions, co-tenants, competitors and catchment signals that fit the brand.
Separate attractive markets from sites that look good on paper but do not match the format.
Give property teams a clearer reason to pursue, pause, negotiate or reject an opportunity.
Evidence layers that move from scan to site decision.
Every engagement can be scaled to the decision. A national screen can start with non-mobile demand, spend and competition layers. Priority sites can then be validated with observed movement and deeper local evidence.
Customer and catchment logic
Expected trade area, resident and worker markets, customer missions, daypart role, access patterns and local demand drivers.
Spend and demographics
Category spend potential, income, life stage, household mix, worker population and the local market conditions that shape store demand.
Competition and co-tenancy
Direct competitors, adjacent substitutes, anchors, neighbouring operators, centre or precinct role and the white-space around the brand.
Observed movement
Mobile-signal visitation, repeat visitation, dwell and rhythm where the decision merits deeper customer-behaviour validation.
Broad enough for different retailer models.
The method is conceptual and format-led. It is designed to adapt to the way each retailer actually trades rather than forcing every brand into the same site score.
QSR and drive-through
Traffic exposure, convenience missions, corridor role, meal occasions, competitor pressure and the difference between passing demand and reachable customers.
Food, takeaway and convenience
Lunch, commuter, campus, hospital, CBD, supermarket-adjacent and neighbourhood missions, with spend and repeat-visitation evidence layered in.
Fashion and lifestyle
Brand adjacency, centre role, customer segment fit, dwell, retail mix, category depth and the trading environments where discretionary spend can convert.
Health, service and specialty
Local need, service gaps, daytime population, repeat-use potential, accessibility and the precinct conditions that support durable demand.
A coherent path from scanning to forecasting.
Start with the portfolio and decision framework, screen markets at lower cost, then reserve deeper evidence and sales forecasting for the opportunities that matter.
Define what good looks like
Start with the retailer’s existing network, target formats and expansion priorities. Where performance data is available, identify the customer, spend, competitor and location signals that separate stronger stores from weaker ones.
Build the portfolio-fit model
Translate the successful-store signals into a repeatable framework. Candidate markets and sites can then be compared with the stores, formats and trading environments the brand already understands.
Scan and shortlist opportunities
Apply the framework nationally or within priority regions to rank catchments, corridors, centres, high streets and individual candidate sites before expensive site work begins.
Validate priority sites
For live or contested opportunities, add deeper site appraisal: mobile-signal behaviour, local spend, competition, co-tenancy, access, format fit and risks before commitment.
Forecast with evidence and confidence
Where the data supports it, create a sales-band or performance-confidence model. Where it does not, use the evidence to produce a clear scorecard and decision recommendation instead of a false-precision forecast.
Outputs for property, network and leadership teams.
The deliverable is shaped around the decision: where to look, which site to pursue, what format fits, and how confident the team should be before committing capital or lease obligations.
Opportunity scan
A ranked view of markets, catchments or candidate areas based on demand, portfolio fit, competition and format suitability.
Candidate-site appraisal
A decision-ready view of a specific site: fit, demand, risks, analogue locations and the next action for the property team.
Sales and confidence view
A calibrated performance estimate where retailer data is strong enough, with assumptions, confidence range and decision caveats made explicit.
Use evidence before the site becomes a commitment.
LoculReach can help define the expansion framework, scan markets, compare candidate sites with portfolio analogues and test whether sales forecasting is defensible for the available data.
Talk about LoculReachLoculyze for Retail Leasing
We turn privacy-compliant mobile location signals into decision-ready metrics.
You get investment-grade insights based on observed visitor behaviour over the last 12-months — highly-recent and ready for your next pitch.
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Quantify any site, anywhere: Rapidly size the opportunity for any building, pitch, or precinct across Australia using recent, observed visitation.
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One score to compare sites: Communicate performance clear engement metrics summarised by our loculAI Score so any lease can be benchmarked at a glance.
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Momentum made visible: Time-series trends plus time-of-day and day-of-week engagement patterns.
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True trade areas: Map reach by suburb and segment visits by short walk, local, regional, interstate, and international visitors.
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Tenant-ready market sizing: Tailor the addressable market to a brand’s categories and target customer.
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Prove adjacency power: Demonstrate complementary uses and multi-store strategies.
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Know the audience: Segment and profile who visits — and the quality of their engagement.