58% of companies base at least half of their regular business decisions on gut feel rather than data (BARC Research, n=697, 2024-2025). Among organizations classified as laggards, that number hits 70%.
If you're a shopping centre marketing director reading that stat and thinking it doesn't apply to you, ask yourself this: the last time you set the budget for a seasonal campaign, what data drove that decision? Not what data you had access to. What data you actually used.
For most retail property marketing teams, the honest answer is uncomfortable.
The Fragmentation Problem
The average marketer works across 16 platforms daily (StackAdapt, 2024-2025). Across the full company, that number rises to 75 or more tools. At a shopping centre, the data landscape looks something like this: a foot traffic counter from one vendor, a loyalty platform from another, a social analytics dashboard, an email marketing platform, a CMS, and somewhere in the mix, a tenant POS system that the property may or may not have any visibility into. None of these systems talk to each other reliably.
47% of marketers say data silos are the single largest barrier to gaining actionable insights (Amra and Elma, 2025). The same research finds that 47% of CMOs say those silos prevent them from proving marketing impact to leadership. You can't defend a budget you can't measure.
63% of U.S. retail chains operate at least three transaction systems with no interoperability between them (NRF 2025 POS and ERP Survey). The cost of replacing those legacy stacks often exceeds $50 million USD for large chains. The problem isn't a lack of investment intent. It's a structural reality that most properties have been operating around rather than through.
The Dark Data Problem
Here's the part that should bother every marketing team: 68% of business data goes unused after it's created (Market Logic Software, aggregating enterprise studies). Splunk's research puts the share of organizational data that's "dark" at 55%: collected, stored, never analyzed, never activated (Splunk, State of Dark Data, 2024). Up to 75% of data goes unleveraged across organizations even as every executive agrees that data is critical to competitive performance (Market Logic Software, 2024-2025).
Marketing teams are working with 230% more data than they were in 2020 (Supermetrics, 2025 Marketing Data Report). But only 32% of marketers report successfully using their technology stacks to extract value from that data, down from 58% a few years earlier (StackAdapt, citing Gartner benchmarks). More data, less clarity.
For a shopping centre, the specific cost of this shows up when the marketing budget gets allocated without reliable attribution. Companies without proper attribution models consistently misallocate up to 30% of their marketing spend, over-funding last-touch channels and starving awareness (Digital Marketing Institute, cited by Giant Partners, 2024).
The Signal Loss Problem
The data problem just got harder. Signal loss from third-party cookie deprecation in Safari and Firefox, combined with Apple's App Tracking Transparency framework, has already curbed the ability to target and track 50 to 60% of internet users (IAB, Identity vs. Privacy, January 2024). Only 15% of global marketers felt fully ready for a cookieless advertising environment as of March 2025 (Deloitte, 2025). 75% of brands plan to phase out third-party data reliance by 2026 (TechRT, 2026).
The data pipeline on which most retail property campaigns were built is deteriorating in real time. The brands that saw this coming started building first-party infrastructure two or three years ago. Most didn't.
What the Fix Actually Looks Like
First-party data strategies, built on data your property owns and captures directly, produce 1.5x to 2.9x higher revenue uplift compared to strategies relying on third-party data (Google and BCG, cited by Avaus, 2025). Forrester's research is more specific: first-party data programs improve customer acquisition cost by up to 83%, conversion rates by 73%, and marketing ROI by 72% (Forrester Consulting, 2024). Brands in the top quartile of first-party data usage achieve 8x ROI and 25% lower cost per acquisition versus industry benchmarks (Avaus Benchmark Analysis, 2025).
The mechanism is data unification. Retailers deploying unified first-party data across in-store POS, loyalty programs, mobile apps, and web behaviour report a median 14% lift in conversion rates and a 22% reduction in customer acquisition cost (McKinsey, analysis of 120 global retailers, 2024). The Customer Data Platform market is growing at a 15.9% CAGR in retail and e-commerce, the fastest-adopting vertical globally (VWO, 2025). Nearly 80% of marketers plan to increase CDP investment over the next year (IDC, July 2024).
For a shopping centre specifically, unification means connecting foot traffic data, loyalty sign-ups, event attendance, guest services interactions, digital campaign performance, and tenant sales data into a single view. Not a dashboard. A decision-making infrastructure.
The Canadian Context
Canadian mall vacancy hit 7.5% in 2025, driven substantially by the HBC closures (JLL Canada, 2025). Neighbourhood and strip centres remain tight at under 2% vacancy, but enclosed mall operators are under real pressure to drive traffic with precision, not spend. Canada is also the fastest-growing market for in-store analytics solutions in North America, with a projected CAGR of 25% from 2024 to 2029 (Mordor Intelligence, 2024-2025). The infrastructure investment is accelerating. The question is whether your property is ahead of that curve or catching up to it.
Physical retail still dominates in Canada. E-commerce accounts for approximately 5.9% of total Canadian retail trade as of September 2025, compared to 16.1% in the U.S. (Statistics Canada, 2025). The shopper is in the building. The data that would tell you exactly how to reach them, before and during their visit, is either sitting unused or not being captured at all.
73% of mall operators cite ROI measurement as their top marketing challenge (Savills, 2024). Malls using footfall analytics generate 3.2x higher campaign ROI than those measuring only digital metrics (CBRE, 2025). The gap between those two groups is not technology. It's infrastructure and intent.
The properties that fix the data problem don't do it all at once. They start with the highest-value unification point, usually foot traffic paired with loyalty data, establish a measurement baseline, and then build from there. The goal in year one isn't a complete picture. It's a reliable one.
Want to know where your property's data gaps are and which ones to close first?
