PROSPECTOR
Prospector is the all-in-one intelligence layer for commercial property brokerage, leasing, management, advisory, and investment.
Track the presence, patterns, and purchasing power of anyone near your site, from street frontage to bustling city precincts.
The Loculyze Sales Index translates thousands of engagement touchpoints into one comparable dollar-value, so you can assess locations at a glance.
Know the prize. See the path. Move first.
Packages
From quick comparables to full strategic planning, choose the package that fits your objectives. Or build you own solution to get only what you need.
* all prices exclude GST. Delivery times are within 5 business days.
Explore the Modules
Learn how Prospector growing collection of modules can deliver the insights you need to better understand your customer and the opportunity for growth.
Competitive Landscape
A summary of your purchased sites and comparables allowing you to quickly rank and compare locations across key performance metrics.
All Packages
Trade Area & Reach
Map the distribution of unique customers, customer penetration, visits and contact hours by ASGS SA1 census blocks. Plot these metrics by distance and compare to last year.
Dynamics & Strategy Packages
Customer Demographics
Better understand the needs of your customers by profiling visits by ancestry, housing tenure and education attendance. Measure population growth in you customers neighbourhoods.
Dynamics & Strategy Packages
Performance Drivers & Trends
A summary of the unique customers who visited the destination over the last 12-months. How many times they visited, how long they stayed and when they came.
All Packages
Same Day Neighbour Interactions
Visualise the routes customers take to and from the destination, and quantify the proportion of neighbouring buildings visited by your customers on the same day.
Dynamics & Strategy Packages
Battleground Suburbs
Prioritise and target suburbs that are most impacted by competing centres and will deliver the best return on investment, to ensure you continue to grow market share.
Strategy Package
Customer Spending Power
An interactive market sizer that allows you to quantify the addressable market by customer life-stage, family structure and income bracket across 200+ product categories.
All Packages
Customer Segmentation
Get a deep understanding of the people visiting your destination by profiling visits across 6 life-stage groups, 13 family structure types and 5 income brackets.
Dynamics & Strategy Packages
Share of Wallet
Identify and target the customers segments that are contributing to the biggest loss of sales and present the biggest opportunity to grow your asset.
Strategy Package
Build your Report
Our flexible pricing model is based on the modules you select and the size of the location being analysed. If you email the quote to yourself, we will also receive a copy and get back to you to discuss further, ahead of preparing a formal quote for your sign-off.
Our Difference
Our team pioneered Westfield’s first customer-analytics engines, then pushed further into mobile-signal maths and AI. That mix of frontline retail expertise and advanced modelling now powers Prospector, uncovering customer insights other solutions miss.
1. We start with detection likelihood
Detection rates vary dramatically between locations. Centres with longer dwell times or high frequency of visit have higher sample. Whereas, open air precincts with high pedestrian flows will be much lower.
That’s why Loculyze trains a dedicated machine learning model for each destination, refreshed monthly, to correct for structural and behavioural differences.
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4. Built for confidence, not for speed
You can’t produce this level of statistical accuracy on the fly. Modelling detection likelihoods, customer journeys, and spatial difference, properly, requires time and care.
That’s why we take a business day or two to return results: because we’re not just drawing polygons and counting pings. We do the heavy lifting. Training models, validating results, and ensuring accuracy; so you don’t have to. What you get is clarity, not guesswork.​
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2. Time windows need statistical footing
Short-term metrics may look sharp, but they often rest on shaky samples. "Last month's Thursday lunch surge” probably reflects a handful of extra devices detected, not a sustainable trend.
Loculyze starts with a Moving Annual Total (MAT) to ensure long-run stability, and only then drills down to daily and hourly views. So temporary noise isn’t mistaken for growth
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5. Sample transparency, always
It’s a well-worn trope that mobile phone data captures around 70% of the population. In truth, this level of sample only occurs for the biggest locations over longer time periods when enough signals accumulate to smooth out detection issues.
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Every Loculyze module clearly displays the underlying sample, both unique customers and total visits, so you know exactly what sits behind every number. If we didn't, how could you trust the outputs?
3. Journeys, not isolated pings
When a customer visits a centre, we know they were there; we captured their device. But understanding where else they went requires more than luck. The probability of detecting that same device next door is hugely diminished, so “looking for a ping” isn’t good enough.
We apply probabilistic cross-visitation modelling, using a four-hour journey window for each unique detection trail, to reconstruct real-world behaviour.​​
6. Meaningful focus on the Loculyze Sales Index
We don’t bombard our clients with metrics hoping they’ll find something interesting. Instead, we deliver transparent and unambiguous insights that are immediately actionable and strategically relevant.
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Our focus is squarely on our sales index. By leveraging our engagement metrics by customer segments, we translate complex data into a single, informative dollar valuation; so you never have to juggle multiple metrics to understand value.
Loculyze Visits vs Reported Traffic
Correlation (pearson r)
0.94 with the 95% confidence interval between 0.9 and 0.96.
So traffic swings in the real world are mirrored almost perfectly by the model.​​​​​​
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R-squared
0.95, so 95 % of the variation in reported traffic is accounted for by our models.
Our models see through this noise created by traditional traffic counters.​​​​​
Loculyze / reported
0.985 , so we under predict traffic, on average, by 1.5%.
This is expected, because Loculyze deduplicates visitors where traffic counters can't.​​​​
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Visits as a sales predictor
A single, deduplicated visit explains 60 % of the swing in annual turnover without bringing tenancy mix or spend by segment into the model.
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Loculyze Estimated Sales vs Reported Turnover
Correlation (pearson r)
0.96 — this level of correlation shows our estimated sales and real turnover move almost in lockstep.
confirming the model’s exceptional linear alignment.​​​​
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R-squared
0.95, so 95 % of the variation in reported sales is explained by our model,.
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Meaning real-world sales swings are mirrored almost perfectly.​​​
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Loculyze / reported
0.97 , so we under predict turnover, on average, by 3%.
Our sales index provides a comparative view of the sales a location should do based on customer value and engagement. Well managed centres will over perform.​​​​​
Sales as the headline
By turning our visitation and engagement metrics into a comparative sales index, you gain one clear, consistently applied dollar metric to compare and prioritise every opportunity.​​​
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