Orchestrate site selection decisions, at scale.
A location intelligence workspace for spreadsheet-native teams to shortlist, compare, and justify new sites - without GIS complexity.
Trusted by companies leading with data, insight, and innovation.
Mapular enables consistent rollout decisions across markets and expansion cycles.
Build and maintain prioritized site pipelines across markets and regions
Keep one view of your candidate locations and priorities, so planning and rollout decisions stay consistent across regions.
Identify white space and coverage gaps in existing networks
See where your current footprint is strong, where it overlaps, and where demand is underserved, before you invest time in individual sites.
Compare candidate locations using the same criteria, every time
Evaluate sites on a common basis with consistent context, so decisions hold up across teams, markets, and expansion cycles.
Prepare decision outputs that support investment and approval discussions
Share ranked site lists, maps, and exports that make the rationale visible and easier to review with finance, leadership, and franchise partners.
Make location data analysis as easy as adding columns in a spreadsheet
Use familiar spreadsheet-native operations like adding columns, or filters to analyze built-in market, demographic, and location data. Integrate third-party sources, apply simple transformations, and combine everything with your own data, all kept in sync with a live map.
Start expansion planning at market level
Identify priority markets and zones before evaluating individual sites.
Combine ready-to-use market and demographic data with your own store locations, competitors, and anchor locations to see where demand is underserved and where expansion will have the highest impact.
Evaluate sites in full local context
Compare candidate locations using the same criteria, regardless of region or source.
Each location is viewed in context, and evaluated against competition, complementary points of interest, and socio-demographic profiles within its catchment, so decisions are based on comparable, location-specific insights.
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Rank and prioritize locations
Apply consistent requirements and scoring logic to turn long lists of potential sites into clear, ranked priorities.
Create ranked site shortlists that help your team align quickly and focus on the strongest expansion opportunities first, across regions and rollout cycles.
Prepare decision-ready outputs
Move from analysis to approval with clear, review-ready outputs designed for rollout and investment discussions.
Create ranked site shortlists, coverage and white-space views, and export your data directly to spreadsheets to continue working in your existing tools.
When decisions involve multiple stakeholders, share the exact map view with finance, leadership, or external partners, so everyone reviews the same context.
What data powers Mapular
Mapular provides ready-to-use datasets for Germany and the USA. All data is pre-harmonized and immediately usable, without requiring GIS expertise or custom setup.
Points of interest (POIs)
Anchors, complementary businesses, and competitors to understand local context.
Travel-time catchments
Walk, drive, and transit catchments to evaluate real accessibility around sites.
Network context
Existing store locations layered on top to analyze coverage, overlaps, and white space.
Socio-demographic data
Population and demographic profiles within catchments to assess demand potential.
Upload your own data
Add your own locations or datasets to evaluate sites in the context of your existing network.
On the Roadmap
• Advanced Footfall, traffic & mobility insights
• Advanced spatial & scenario analysis
• First-party data integration
What Our Customers Say
"Mapular helped us avoid entering retail in blind flight. The decision quality is on a completely different level."
"Mapular brings a wealth of analytical knowledge that helps us make high-level retail decisions where otherwise we’d be completely in the dark."
Every site selection data point imaginable, in one place.
See how expansion teams evaluate and compare sites in Mapular
Frequently Asked Questions
Mapular is a decision workspace for teams responsible for physical expansion.
It combines national scale location intelligence, structured evaluation workflows, and customer specific context into a single environment where teams can identify white space, compare candidate sites, and build defensible expansion plans. The focus is not just on analysis, but on turning market signals into decisions that can be reviewed, approved, and reused across rollout cycles.
Mapular supports end to end decision work, from early market scans to ranked site shortlists and finance ready approval materials, without requiring GIS expertise or consultant led projects.
Mapular supports decisions such as:
• Where to open next within an existing or new market
• Which candidate sites should be prioritized or deprioritized
• Where current store networks leave white space or overlap
• How expansion decisions can be documented and justified for finance, leadership, and franchise partners
The product is designed to support repeatable expansion decisions with data-backed confidence.
Yes.
Teams can upload their own data manually, such as existing store locations or basic performance attributes, and use it alongside Mapular packaged datasets. This allows analyses to reflect each brand’s existing network and expansion context.
More advanced first-party data integrations are planned for later versions, but Mapular does not require complex integrations to deliver value.
Mapular is designed around how expansion decisions are actually made.
Instead of treating location analysis as a one-off project or a specialist task, Mapular provides a reusable workspace where teams can evaluate markets, compare sites, and prepare decisions in a consistent way over time. The same data, criteria, and evaluation logic can be applied across regions and rollout cycles, so decisions build on prior work rather than starting from scratch.
Mapular focuses on turning location data into clear, shareable decision outputs. Ranked site lists, maps, and exports are designed to support discussions with finance, leadership, and franchise partners, helping teams move from analysis to approval with confidence.
This approach keeps expansion knowledge in-house and makes location intelligence a practical part of everyday decision-making.
Mapular is built for multi site consumer brands where physical expansion is a core function.
Typical users include:
• Expansion managers or heads of expansion
• Founders or COOs overseeing rollout strategy
• Finance or controlling teams reviewing site approvals
• Franchise or regional partners involved in site selection
It is not designed for single location businesses or GIS specialists looking for low level spatial tooling.
Mapular provides ready-to-use location intelligence for Germany and the USA, including:
• Points of interest such as competitors, anchors, and complementary businesses
• Travel-time catchments for walking, driving, and public transport
• Socio-demographic context within catchments
• Coverage and network footprint views
These datasets are already harmonized so teams can compare regions and sites on a consistent basis.
Mapular combines packaged location intelligence with customer-provided data to support expansion decisions.
Today, Mapular includes ready-to-use datasets for Germany and the USA, such as:
• points of interest, including anchors, complementary businesses, and competitors
• travel-time catchments for walking, driving, and public transport
socio-demographic data describing who lives and works within each catchment
• existing store locations to analyze coverage, overlaps, and white space
All datasets are pre-harmonized and designed to be usable without GIS expertise.
In addition, teams can upload their own data, such as store locations or basic performance indicators, to evaluate sites in the context of their existing network.
More advanced data layers, including footfall, traffic indicators, and deeper first-party data integrations, are planned for later phases and will build on the same decision workflows.
See how teams shortlist and compare new sites in minutes using ready-to-use catchments, demographics, and POI data, without GIS complexity.
get in touch
We work with teams making real-world decisions using location data, from expansion planning to custom geospatial analysis.mapular CA is a modular analytics platform for retail and D2C — combining location intelligence and digital twin technology to turn your data into growth.
If you’d like to explore how Mapular can support your use case, let’s talk.
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Mapular UG (haftungsbeschränkt)
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Pieter Rose
TOG Die Bürogruppe
(Deutschland) GmbH
Kronenstraße 63
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Deutschland
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