Skip to main content
IC

IRL Consulting

IRL Consulting provides location‑specific mobility, spend and demographic datasets with web‑based analytics tools that let retailers, developers, banks and planners visualize foot traffic, consumer spending and competitor density at the suburb level. The platform offers real‑time mapping, reporting and API access to support data‑driven site selection, market sizing and performance benchmarking.

Founded 2018231K+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Businesses in retail, finance, real estate, and related sectors lack granular, up-to-date information on how people move, spend, and demographically profile at the suburb level, making location‑based decisions about expansion, marketing, and competition costly and uncertain.

Solution

IRL Consulting aggregates research‑grade mobility, human‑behavior, and demographic data into location‑specific alternative datasets and web‑based analytics tools such as MAYA and MarketMetrics Pro. These products deliver near‑real‑time insights on foot traffic, spend patterns, business density, and visitor flows for individual suburbs. Users can visualise data on interactive maps, generate instant reports, and combine their own business data with IRL’s datasets to assess catchment areas, competitive landscapes, and market potential. The platform enables data‑driven site selection, performance benchmarking, and supply‑chain optimisation without the need for in‑house data collection.

Target Audience

Primary customers are retail chains, real‑estate developers, banks and financial services, and local government or municipal planners that require suburb‑level market intelligence for site selection, performance monitoring, and competitive analysis.

Features

  • Point‑of‑Interest (POI) data with high‑accuracy geocoding to map competitor locations and market density
  • Consumption Universe covering 750+ spend categories at sub‑place level for detailed spend profiling
  • Demographic Universe providing population, household, age, income, gender, LSM and migration metrics per suburb
  • Relational Matrix that quantifies visitor flow between suburbs, revealing cross‑visit patterns
  • Business Universe (RSA only) showing the number of businesses per industry within each suburb
  • Real‑time map‑based interface in MAYA with anonymised customer personas and catchment analysis
  • MarketMetrics Pro dashboard delivering footfall trends, share of footfall, dwell time, visit frequency, cross‑shop behavior and distance‑to‑store metrics
  • API‑ready datasets that can be integrated with client systems for custom analytics and reporting
This profile is AI-generated and may contain inaccuracies.