Welcome to the future of consumer analytics! Relational Matrix is your key to understanding the intricate connections between places and consumer visitation. Say goodbye to guesswork and hello to data-driven decisions.
Quantify Connectivity with Relational Matrix. Answers the questions: What proportion of the visitors to suburb ‘X’ also visit suburb ‘A’, ‘B’ or ‘C’? Or where do residents of a suburb also go?
Where do visitors to any selected suburb also visit? Dive deep into consumer behaviour and explore the places that go hand-in-hand. Uncover hidden patterns and make informed decisions on marketing, penetration and opportunity.
Where do residents of any selected sub place also visit? Understand your local community's preferences and interests. Tailor your offerings to match their tastes.
Identify which suburbs your residents or visitors visit the most. Maximise your reach by placing your marketing/outlets/business where it matters most. Target your audience where they are most active and have the most affinity to your brand.
Understand which of your already served suburbs you might cannibalise the most. Optimise your existing operations to prevent competition within your own portfolio. Minimise losses and maximise growth.
How do I better serve residents of suburb X with a new store?
Where should I place my OOH to attract customers to also live in suburb X?
Where is the ideal location for my advertising to attract people who visit location X?
What is the potential store cannibalisation for visitors who visit location X or Y?
A crystal ball of suburb relationships for a thriving business future. Explore the Relational Matrix today.
Unlock the potential of Relational Matrix and supercharge your business. Sign up for our service today and embark on a journey of data-driven success.
Imagine a steady stream of insights that help you make better business decisions. We combine human movement, behaviour and demographics with research-grade mobility and customer profiling data to give our clients a view of the market never seen before.
