Analytics and marketing solutions tailored for malls worldwide. We develop and deploy analytics and digital marketing solutions powered by big data and AI to help shopping centers understand their customers.
Comprehensive understanding of customer behavior through data analysis. By observing preferences and interactions, you gain insight for better customer-centric decisions and strategies.
Measure
Continuously improve overall mall performance through ongoing evaluation and improvement initiatives, ensuring operational excellence and optimal results.
Transform
The customer experience. Design a personalized, seamless experience inside the mall, tailoring services and offers to individual preferences.
Understand customer behavior
Improve leasing strategy of each mall thanks to advanced analytics and big data.
Understand visitor behavior and offer the best experience and brand mix.
Unify the portfolio analysis providing the best tools to your teams.
Drive sales and optimize profitability and efficiency with precise data.
Measure and improve mall performance
Optimize and plan mall operations (cleaning, maintenance, security) based on visitor flow data. Maximize the value of your venue.
Improve tenant relations by providing relevant real-time visitor information.
Offer the best experience. Discover common journeys, quantify traffic and dwell time per zone, generate heatmaps and define occupancy alerts.
Lift customer experience and loyalty
Capture valuable contacts. Provide secure, seamless WiFi for visitors and enable personalized campaigns.
Launch real-time campaigns based on location and user behavior.
Improve user experience by simplifying loyalty program participation with ticket scanning for automatic data capture.
Unify customer profiles and optimize marketing campaigns. Connect seamlessly with major CRM platforms.
Comprehensive products, multiple solutions
Measure and improve space performance, understand customer behavior and connect with your visitors.
Somos clientes desde hace años y pretendemos seguir siéndolo. Flame te cuenta lo que no puedes ver sentado en una oficina o dando un paseo por el hall del centro comercial. Te acerca al cliente desde el momento en que pasa por delante.
Gracias Flame analytics por acompañarnos en el apasionante reto de ofrecer a nuestros visitantes una experiencia omnicanal total.
Vicente Alemany ClimentCoordinador de Innovación · Cushman & Wakefield
Los datos de Flame nos ayudan a adaptarnos a nuestros clientes, cada vez más exigentes, y a las marcas, que nos demandan cada vez más información.
Lucas MadiedoDirector de Transformación Digital · Merlin Properties
Gracias a Flame hemos conseguido retener a nuestros clientes, aumentar el ROI y mejorar el rendimiento empresarial. Conocer el flujo de movimientos ha sido vital.
Luis SimónGerente · CC Plaza Éboli
Somos clientes desde hace años y pretendemos seguir siéndolo. Flame te cuenta lo que no puedes ver sentado en una oficina o dando un paseo por el hall del centro comercial. Te acerca al cliente desde el momento en que pasa por delante.
Gracias Flame analytics por acompañarnos en el apasionante reto de ofrecer a nuestros visitantes una experiencia omnicanal total.
Vicente Alemany ClimentCoordinador de Innovación · Cushman & Wakefield
Los datos de Flame nos ayudan a adaptarnos a nuestros clientes, cada vez más exigentes, y a las marcas, que nos demandan cada vez más información.
Lucas MadiedoDirector de Transformación Digital · Merlin Properties
Gracias a Flame hemos conseguido retener a nuestros clientes, aumentar el ROI y mejorar el rendimiento empresarial. Conocer el flujo de movimientos ha sido vital.
Luis SimónGerente · CC Plaza Éboli
Frequently asked questions
How does analytics improve shopping mall management?
Foot traffic analytics transforms shopping mall management from intuition-based decisions to data-driven strategy. Flame provides mall managers with real-time and historical metrics: total center traffic, floor distribution, zone performance and hourly patterns. These data drive key decisions: optimal event scheduling (when to drive traffic vs. when traffic is already high), tenant mix (which store types attract complementary footfall), marketing efficiency (which campaigns generate real visits) and operational planning (cleaning, security, HVAC based on actual occupancy). A leading European mall operator manages its 10 shopping malls with Flame data, achieving quantified operational and strategic decisions. The same data-driven approach powers Flame analytics across physical spaces of all kinds.
Can tenants access footfall data?
Yes. Flame offers multi-level dashboards allowing mall management to share relevant data with tenants while maintaining confidentiality of sensitive information. Each tenant sees: total center traffic (context), traffic on their floor or zone, and their own footfall if they have connected cameras. They don't see other individual tenants' data. This shared data model benefits everyone: tenants understand their performance context (did my sales drop or did the whole center?) and management demonstrates center value with objective data. In lease negotiations, Flame data provides objective evidence of traffic the center generates for each zone. A similar multi-level access model applies to Flame deployments across other physical spaces, where different stakeholders access relevant metrics.
What is real-time occupancy management?
Real-time occupancy management continuously monitors how many people are in the shopping mall, by floor and by zone, comparing against defined capacity thresholds. Flame displays current occupancy on live dashboards and can trigger automatic alerts when predefined levels are reached (80%, 90%, 100% capacity). Born as a post-COVID necessity, occupancy management has become permanent operational practice because it improves visitor experience (avoiding overcrowding), optimizes resources (security, cleaning, HVAC based on actual occupancy) and complies with capacity regulations. Over 50 shopping malls in Flame's network use entrance occupancy screens. The same occupancy management technology is deployed across retail stores and other physical spaces.
How does parking analytics work?
Parking analytics connects vehicular traffic data with pedestrian footfall to provide a complete picture of the shopping mall visit. Flame can integrate data from existing parking sensors with its footfall analytics, revealing correlations: average time between parking arrival and center entry, visit duration by access origin (car vs. public transport), and parking occupancy rates correlated with center footfall. This enables optimizing parking signage, adjusting center hours based on arrival patterns and evaluating alternative transport initiatives. Leading mall operators use this combined data to optimize the arrival experience and reduce access friction.
How does it measure event effectiveness?
Flame measures shopping mall event impact across three dimensions: traffic uplift (how many additional visitors the event generated), traffic distribution (did attendees visit stores or only attended the event?) and retention (did event visitors return in subsequent weeks?). The process: Flame establishes a traffic baseline for the same day/time from previous weeks, measures traffic during the event and calculates net uplift. For a concert at a major shopping mall, Flame demonstrated that 67% of attendees visited at least two stores before or after the event, and 23% were first-time visitors, quantifying the event's real value beyond attendance. The same A/B measurement methodology applies to events in any physical space.
Can you compare performance across malls?
Yes. Flame's portfolio dashboard allows comparing normalized metrics across shopping malls, controlling for size, location, center type and seasonality. Comparable KPIs include: footfall per square meter, parking capture rate, average visit time, floor traffic distribution and event conversion rate. A leading mall operator compares its 10 malls with Flame to identify best practices, detect performance anomalies and allocate marketing budgets based on objective data. Anonymous benchmarks from Flame's 50+ mall database let you compare your center against the market. This level of competitive intelligence without personal data is exclusive to platforms with scale like Flame, which also benchmarks retail stores and other physical spaces across its network.
What reports do investors and owners receive?
Flame generates executive reports designed for investors and commercial real estate asset owners. Standard reports include: monthly and annual footfall trends (leading indicator of center health), year-over-year comparisons (quantified growth or decline), zone performance (identifying areas needing repositioning), marketing campaign impact (ROI of promotional investments) and market benchmarks (relative performance vs. comparable centers). Reports export in PDF, Excel or connect via API to real estate reporting platforms. Leading property consultants use Flame data in their asset valuation reports, where footfall trends are a key indicator of commercial asset value.
How does it help optimize the tenant mix?
Flame's analytics reveal how traffic flows between different store types and which tenant combinations generate the most cross-footfall. Key data for mix optimization: category flow analysis (do fashion visitors then go to dining?), anchor effect (how much traffic each anchor tenant drives to surrounding stores), cold zone analysis (low-traffic areas needing a destination tenant) and category synergy (which store types benefit from proximity). When a major shopping center needed to reposition a floor with high tenant turnover, Flame data showed that dining tenants on that floor generated 3x more cross-traffic than fashion stores, guiding the re-commercialization strategy. Similar zone flow analysis helps optimize space planning across other physical spaces.
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