How to Improve Marketing with Location Intelligence?
Location Intelligence is transforming the way brands communicate with their current and potential customers, maximizing marketing campaigns and optimizing costs.
Friday, October 29, 2021
Location analytics leverages and enhances marketing campaigns by providing faster and deeper insights to your customers. Interactive maps, visual analytics and powerful, intuitive dashboards simplify complex data networks and provide a robust platform for collaboration in any department, across the organization and on a global scale.
Marketing-focused location intelligence is a process that uses geospatial data relationships to determine strategies that are more successful and reach the right people, at the right time, in the right places.
Spatial data can be combined with different layers of customer, retail or local demographic data to identify new areas and markets to target, reach potential customers and enhance the individual value of existing customers by offering a more personalized service.
Reduce the cost of marketing campaigns, the amount of resources to be acquired, as well as the number of person-hours needed to distribute them, in order to identify more precisely the areas where potential customers are located.
Identify where different demographics typically live, where they work, their preferences and mobile behavior patterns, helping businesses decide which paid advertising to buy on social media, target flyers or billboards on the main transport route to reach potential customers in the right demographic in the relevant areas.
Automatically send a marketing email reminding them of your product range when they walk past a branch, their work or their neighborhood.
Improve customer awareness and understanding by delivering advertising across different channels to make the most of marketing strategies, adding tangible insight to social and mobile outreach.
Obtain tangible insights to focus customer service or marketing efforts and change buyer sentiment or respond to sales demands.
Quickly identify and analyze where the most loyal customers inhabit and in-store results in terms of sales and product line purchases by drilling down into customer data and not only accessing product lines and merchandise, but also comparing them by store, market, time of day and demographics.
Conduct analytics that link campaign activities and relate them to actual in-store transactions and performance, making it possible to appreciate customer shopping behavior across online, mobile and physical stores.
Meet customer demand, anywhere, anytime, by aligning different areas of the business, focusing on creating a seamless and consistent customer experience connected to inventory, pricing and fulfillment.
Target consumers ads on their mobile devices driving foot traffic by informing users of your proximity market and engaging them with an offer and creating more relevant and personalized ads.
In conclusion, this tool produces significant cost savings in the execution of marketing campaigns, increasing revenue and customer loyalty.
All these insights are generated by applying location intelligence and mobility analytics, if you are interested in learning more about them, in PREDIK Data-Driven we conducted a study where a characterization of Zona Rosa in Mexico City is made.
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Micro-mobility analytics improve retailers’ expansion strategies by accurately identifying consumer demographics, understanding customer behavior, and understanding how their competitors are performing.
Micro-mobility is a methodology that combines geospatial data and foot-traffic analytics to solve several problems and improve site selection strategies by helping to understand how people move around specific brick n’ mortar locations, allowing companies to analyze movement patterns around specific locations, such as retail stores, to extract meaningful information.
Analytics based on Big Data allows mall operators to maximize revenues and visits by better selecting tenants, optimizing mall design, determining rents, establishing signage and advertising campaigns, etc.
New technological tools allow mall operators to measure the number of consumers spending in and out of stores, the time they spend in and out of stores, know their relative wealth index and understand visitor behavior patterns, helping to determine the best mix of stores, site infrastructure, rent price range and implement more efficient signage and advertising.
Understanding consumer mobility patterns is critical for all types of businesses. Big Data tools, spatial data, and anonymized and aggregated mobility data play a very important role in these analyses, as they enable the measurement of foot traffic and consumer behavior patterns in any given area or point of interest.
Foot traffic analytics, location intelligence, and point-of-sale categorization have revolutionized the way retailers implement expansion models, commercial and operational strategies in the supermarket franchise focused on more organically sourced products.
Location intelligence and mobility analytics allow companies to create Out-of-Home advertising strategies focused 100% on the tastes and preferences of the people who pass through each point.
In outdoor advertising (OOH), knowing in depth the consumers who pass through the point where the advertising will be exposed is crucial to maximizing as much as possible the return on investment.
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