Choose Better Locations.
Win More Customers.
Grow with Data.
For retail operations, expansion managers, and real estate teams who want to grow with data. Use real-world insights to open high-performing stores, reduce risk, and improve ROI across every location.
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Where Retailers Get Stuck
You’re planning to expand — or improve your current stores but:
Uncertainty in Site Selection
Hard to predict which locations will deliver strong performance.
Outdated Data Reliance
Making decisions based on stale sales or demographic data.
Justifying Store Decisions
Challenges in validating openings, closures, or remodels.
The result?
Missed conversions, underperforming launches, and low retailer leverage.
What You’ll Unlock
Make smarter, faster, revenue-driving decisions — with location, consumer, and marketing data in one place.
Data-Driven Site Selection
Use real-time data to identify high-potential locations.
Deeper Store Performance Insights:
Gain insights into store performance beyond sales figures.
Optimized Expansion Planning
Forecast ROI and reduce risks associated with new store openings.
Stronger Market Positioning
Understand local demand, competitor presence, and customer behavior to make faster, better strategic decisions.
Your Journey with Mapular
Launch or Plug in Your Store Locator
No store locator in place?
Mapular’s plug-and-play solution gets you live in hours — with built-in analytics to guide growth decisions.
Already have a store locator?
We enhance it with real-time demand insights from customer searches, filter usage, and location interest.
Your store locator becomes a first-party demand engine—showing where people want you to be.
Identify underserved areas and prioritize locations with genuine customer interest.
Integrate Demographics, Mobility, and Competitor Data
Combine key data layers — such as population demographics, mobility patterns (foot and vehicle traffic), and competitor locations — to gain a full market view
Spot underserved areas with strong demand, avoid saturated zones, and target the right customer segments with precision.
Make smarter site decisions that reflect how people actually live, move, and shop.
Simulate Store Performance with a Digital Twin of your Retail business.
Before committing to a new location, simulate its performance using our digital twin technology to forecast foot traffic and sales potential.
Make informed decisions and reduce the risk of underperforming stores and launch with greater certainty.
Monitor and Optimize existing Store
Track location performance beyond sales: analyze footfall, dwell time, and visit frequency to understand what’s working. Identify underperformers early and spot shifts in local demand.
Enhance store performance and allocate resources where they’ll have the biggest impact.
Mapular Consumer Analytics helps retailers grow smarter with location intelligence—showing where to open, what to optimize, and how to drive more value from every store.
Make every store decision data-driven—from opening new locations to improving performance.
Book Your Free DemoWhat Our Customers Say
"We are so excited to work with Mapular as our full-service geomarketing partner.The custom store locator map their team built for Black Buffalo is truly the best I've seen in the industry and resulted in immediate ROI in terms of consumer engagement, retail foot traffic, and industry attention. Beyond the consumer-facing store locator map, Mapular brings to our team a wealth of analytical knowledge that's helping us make high-level decisions at the retail level where otherwise we would be completely in the dark."
Trusted by companies leading with data, insight, and innovation.
Analytics Engine
Drive growth today with Location Intelligence
Mapular is a modular analytics platform for retail and D2C — combining location intelligence and digital twin technology to turn your data into growth.
Why leading retail & D2C teams choose Mapular
We’re purpose-built for retail, D2C, FMCG, andconsumer goods brands — not just repurposed BI orGIS tools. Every feature solves real-world businesschallenges, from store performance to expansionstrategy.
See the full customer journey — from online clicks toin-store visits — and connect the dots across everychannel.
Simulate store placements and campaigns beforeyou spend. No more gut-based decisions — justdata-backed moves that drive real growth.
Your data is fragmented across platforms, channels,and teams — making it hard to see the fullcustomer journey.
Start simple — with store locator insights — andgrow into advanced analytics, campaign simulation,and site planning tools. No heavy IT lift needed.
Trusted by Shopify Plus agencies and other leadingcommerce solution providers.
At Mapular, we turn digital signals into real-world retail insights - GDPR compliant.
Founded by a team of geospatial experts, we help brands like yours connect digital demand with in-store performance - and understand where it converts offline.
Book Your Free DemoFAQs
Mapular CA is a retail analytics platform that empowers retail operations, expansion managers, and real estate teams make smarter, data-driven location decisions. It combines customer demand signals, foot traffic data, demographics, and competitor insights to reduce risk and improve ROI across new and existing store investments.
Yes. Mapular offers a turnkey store locator solution that’s fast to launch and built for analytics. It helps customers find nearby stores and collects valuable first-party data to guide your retail expansion strategy.
Yes. Mapular integrates with your current store locator and adds demand intelligence. It tracks user search behavior, filter usage, and location interest to reveal where customer demand is building.
Mapular combines multiple real-world data sources — including demographic trends, mobility data (foot and vehicle traffic), and competitor locations — to help retailers identify high-potential sites. This reduces uncertainty in store planning and supports data-driven expansion.
A retail digital twin is a data model that simulates how a potential store location will perform. Mapular’s digital twin technology helps forecast key metrics like foot traffic, sales potential, and customer engagement before you sign a lease — reducing the risk of underperforming stores.
Mapular goes beyond POS data by tracking in-store metrics such as footfall, dwell time, visit frequency, and local demand shifts. These insights help you identify underperforming stores and make better-informed optimization decisions.
Yes. Mapular gives retail teams the data needed to justify strategic decisions like closing, relocating, or remodeling stores. By understanding local market conditions and store-level performance, you can present data-backed recommendations to stakeholders.
Mapular is modular and fast to launch—most retailers start seeing insights within days.Integration is simple, requires minimal IT involvement, and works seamlessly with your existing platforms.Our team partners with you throughout onboarding, ensuring a smooth setup and fast time-to-value—so you can focus on growing with data-driven insights.
Mapular is fully GDPR-compliant. We never use personally identifiable information — all user data is fully anonymized by design.We work closely with Secjur, our external Data Protection Officer, to ensure every step of our platform meets (and often exceeds) European data protection standards.
By default, your data is securely processed and stored in a certified data center in Germany. For enterprise customers, we also offer flexible deployment options — including private cloud or on-premises hosting — to fit your specific compliance and IT requirements.
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Visit us at our headquarters for a more personal touch.
get in touch
Mapular CA is a modular analytics platform for retail and D2C — combining location intelligence and digital twin technology to turn your data into growth.
We’d love to learn about your goals — schedule a quick chat with our team.
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Mapular UG (haftungsbeschränkt)
c/o TOG The Office Group
(Germany) GmbH
Kronenstraße 63
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Germany
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Peter Rose
TOG The Office Group
(Germany) GmbH
Kronenstraße 63
10117 Berlin
Germany
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