The city of Leipzig uses Targomo’s Fleet API to plan the most efficient routes for quarantine visits. Picture source: Ashkan Forouzani on Unsplash / City of Leipzig / Targomo
Location intelligence specialist Targomo helps Leipzig’s Health Department to easily schedule multiple home visits to check whether people are in good health and comply with COVID-19 lockdown restrictions. Targomo had earlier supported the city of Valencia to contain the pandemic.
Like many other municipalities dealing with the pandemic, the German city of just over 600,000 citizens is focused on reducing the number of coronavirus infections. People with symptoms or a positive test result need to quarantine at home to minimize the risks of spreading the disease.
To check whether these people remain at home and have not seriously fallen ill, staff of the Leipzig health department carry out hundreds of visits each week. The authority turned to Targomo to help build a fast and reliable routing tool to send employees (up to 15 teams per day) to people’s homes. Leipzig relies on Targomo’s Fleet API service to make this possible.
Efficient allocation of staff
“By using the Targomo Fleet API as part of Leipzig’s geo data infrastructure, we enable the Leipzig Health Department to conduct more efficient tours for quarantine inspections,” said Charlie Liebscher, a geo data manager of Leipzig’s Office for Geo Information and Land Use Planning.
Targomo’s technology allows the Health Department to find the optimal routes for the different teams. Thanks to the service, Leipzig is able to keep traveling costs and travel time as low as possible, and guarantee an efficient allocation of staff. Employees can choose from two travel modes: bike and car. This allows Leipzig’s Health Department to customize its work and remain flexible during the pandemic.
Leipzig is the second municipality that picked Targomo’s services to help contain the spread of the coronavirus. In spring, the Spanish city of Valencia turned to Targomo to build an easy-to-use app, which its citizens could use to comply with lockdown restrictions. The Valencia tool shows inhabitants how far they can move from their homes, and follow regulations to limit their movements in the city.
Curious to learn more about improving public services? Check our website for more information or the examples further down.
E-biking has gone mainstream, making it crucial to include it in location analyses. Picture source: Wolfram Bolte on Unsplash.
Targomo’s location analytics platform now includes e-bikes as a travel mode to improve the analysis of catchment areas. It enables businesses to better estimate the potential customer base and reach of their locations.
With the rise of electric bicycles used by people and businesses, the inclusion of this transportation mode has become essential to calculate the catchment area of a location. According to one study, an e-biker on average travels more than 60% faster than a conventional biker: 23 km/h vs. 14 km/h (14 mph vs. 8.7 mph).1 This means that the potential customer base of a location could be up to twice as large, depending on the population density.
In Germany, the annual sales of e-bikes jumped to 1.36 million bikes in 2019 from 535,000 in 2015. A third of all bikes sold in 2019 were e-bikes. In the European Union, total unit sales broke the 3 million mark for the first time in 2019, with e-bikes accounting for 17 percent of total bike sales. Even in the car-focused United States, growth rates are in the double digits.2
In addition to more people buying e-bikes, many bike-sharing companies have started offering electric-powered bicycles. Businesses, such as meal delivery companies and logistics firms, have also started using e-bikes and electric-powered cargo bikes as a fast alternative to cars in traffic jammed cities.
In Targomo’s location analytics platform, users can pick the e-bike mode by increasing the cycling speed with the drop-down menu.
E-bikes: Speeding up
Due to increased usage of electric bicycles, Targomo has added e-biking as a travel mode to its location analytics platform, in addition to walking, normal biking, driving and public transportation. In Targomo’s location analytics platform TargomoLOOP users can customize cycling speeds, choosing between normal biking (15 kilometers/hour or 9 miles/hour) and e-biking (20 or 25 km/h, 12 or 16 miles/h). The platform enables users to calculate the catchment area of locations with demographic, movement and points-of-interest (POI) data.
Many businesses and organizations, from retailers to restaurants and bakeries, from real estate to mobility and public services, can benefit from TargomoLOOP. They can make detailed analyses of locations, catchment areas, and neighborhood characteristics. The inclusion of e-bikes as a travel mode greatly improves these analyses.
The basic version of TargomoLOOP is free of charge and allows users to quickly gain insights into their locations. Curious to see the platform in action? Simply sign up and start analyzing.
Location analytics platform TargomoLOOP supports managers in retail, real estate, public services and logistics to analyze locations and quickly see their potential in terms of catchment area, customer base and reachability. Knowing how many people and which kind of people a location can attract helps organizations to determine whether it will perform successfully.
The platform offers essential features to analyze locations with maps, demographics, and Points of Interest. Users can easily rank locations by category and correlate location variables with performance. They can analyze an unlimited number of locations and download reports of their findings. No set-up is required: Simply register, type in an address, and get results within seconds. Everyone can start analyzing for free.
Targomo has already helped dozens of organizations in Europe and overseas to effectively use location data. Established businesses such as Oxford Retail Consultants in Britain, Dutch real estate platform Funda, and German beverages retailer Getränke Hoffmann benefit from Targomo’s services.
Location Intelligence startup Targomohas launched a new API portfolio and pricing. Targomo is a specialist for highly precise travel time calculations and complex geospatial scenarios. The new portfolionow offers a full spectrum of developer tools to improve map applications. It consists of 10 location APIs ranging from basic map functions to advanced location analytics.All APIs are available on a pay-as-you-go basis. When used for publicly accessible applications, developers get a free credit worth 300 Euros per month.This way, they can try out multiple location APIs to enhance map applications without facing limitations associated to specific plans.
The APIs, which can be accessed through a single API key, are divided into the three categories “Create”, “Analyze”, and “Navigate”:
Through APIs in the “Create” category, developers can build customized maps and add points of interest (POI) as well as statistics layers
In the “Analyze” category, Targomo’s APIs come with a precise routing, allowing users to create isochrones and quantify statistics as well as POIs
The “Navigate” category offers APIs that can be used to calculate and display travel paths to differentdestinations. They further can be of help to dispatchers, who have to quickly find the best route combinations for multi-vehicle and multi-destination scenarios
Targomo’s APIs are used globally, most prominently by real estate, retail, and public sector organizations. Leading Real Estate platforms in Europe such as Seloger or Funda are enhancing their search functions with Targomo by allowing users to incorporate travel time into their search. Delivery services use Targomo’s technology to calculate and optimize delivery routes, and municipalities use reachability analyses to improve their understanding of urban mobility.
Learn more about our API services or get your own API key to get started.
Retailers can gain new insights into their locations, helping them stay agile during the pandemic.
The pandemic poses many challenges to retailers. New regulations come into force overnight and customers’ priorities can change instantly. Location analytics helps adapt to these changing conditions.
While shopping streets have lost a lot of their appeal during the pandemic, local stores have become far more popular. The move to online and omnichannel shopping has intensified due to lockdown restrictions. Home delivery of products and click & collect options have become even more important. To better cope with these short-term developments and its long-term implications, rapid analyses and strategy adjustments are more important than ever. The reachability of a shop or shopping center plays an essential role here.
For many retailers, points of sale are still their main and most important asset to reach customers. Where can retailers best serve their target groups? How many customers can reach a store within 10, 20 or 30 minutes on foot or by car? Where would a Click & Collect service make sense?
“During the pandemic, it is more important than ever to keep a close eye on individual points of sale and the branch network,” says Noel Carbo, Product Manager with Targomo. “Location analytics enables retailers to gain insights quickly so they can respond to new regulations and market conditions.”
Targomo offers an easy-to-use location analytics platform, TargomoLOOP. The platform helps answer several questions that have become very relevant due to the pandemic:
What types of consumers live in the vicinity of a location and are more likely to visit a local in times of home office and low mobility?
How many households can be reached in half an hour from a location when launching home delivery by bike or car?
Which locations would be suitable as click & collect points?
Which stores could be (temporarily) closed without creating gaps in the network?
When there are multiple real estate options for expansion, but there’s no possibility to visit every site in person, which locations have the most potential in terms of customer reach?
Which points of sale could be redeveloped into multi-use properties, for example combining retail, office and residential options?
Let’s take Click & Collect as an example: Location analytics helps to identify the stores with the biggest reach among the population or target groups. By looking at how many people can reach a point of sale in, for instance, 15 minutes by bike, a retailer can see which locations attract the biggest number of people. Shortlisting of locations based on the reach among the population or a specific target group is easy and quick in TargomoLOOP thanks to a ranking feature.
The basic version of TargomoLOOP is free of charge and allows users to quickly gain insights into their points of sale. A premium plan, called Pro, gives companies access to more data and analysis options, such as white spot analysis, household income statistics, and total purchasing power data. Furthermore, Targomo’s premium Enterprise solution uses the full potential of AI and Machine Learning techniques to calculate the sales potential of (new) locations, cannibalization effects and assortment optimization.
Customers such as German beverage retailer Getränke Hoffmann, Oxford Retail Consultants from the UK and French telecoms company Orange already rely on Targomo’s location intelligence solutions.
Curious to see the platform in action? Simply sign up and start analyzing.
Location analytics platform TargomoLOOP supports managers in different industries to analyze locations and quickly see their potential in terms of catchment area, customer base and reachability. Knowing how many people and which kind of people a location can attract helps businesses to determine whether it will perform successfully.
Targomo has already helped dozens of organizations in Europe and overseas to effectively use location data. Established businesses such as Oxford Retail Consultants in Britain, Dutch real estate platform Funda, and German beverages retailer Getränke Hoffmann benefit from Targomo’s services. The platform allows every organization to quickly and easily analyze locations and gain new insights.
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The ranking feature makes it easy to pick the locations that score best on those variables, which are important for the user’s business.
Targomo has added two features – location ranking and correlation analysis – to its location analytics platform TargomoLOOP, making it easy to shortlist the best locations and find likely success factors. Furthermore, users can access more data and analytics options with a new pro plan.
The ranking feature helps users to quickly shortlist the best locations for a new branch or business. An overview of a dozen locations and their ranking is available in seconds. It shows how well a location over- or underperforms compared to the average values of locations for the selected variables and which ranking it has in the network. This makes it easier to pick the location that scores best on criteria relevant for the business.
The second addition, correlation analysis, allows users to find potential success factors for their locations. The feature shows how location variables, such as household size or income groups, relate to performance indicators, such as revenue. With the help of a plot chart, all locations are mapped on a graphic to see how, for instance, a certain age group correlates with revenue. That age group could be a critical factor for performance.
“We are constantly improving our location analytics platform to generate new insights for our users,” says Patrick Schoenemann, Targomo’s CEO. “Retailers and real estate managers often have to search through dozens of locations to find the best one for their business. Shortlisting them with our ranking tool is now easy and fast, leaving more time to analyze the most valuable sites. Correlation analysis will further ease the goal of picking a new location, by revealing factors that relate to success.”
More Data and Analytics Options
In addition to the new features which are available in the free version of TargomoLOOP, users can access more data and analytics options with premium plans. ‘TargomoLOOP Pro’ enables businesses to optimize their network of branches by analyzing white spots, competitor networks, clustering effects, and potential click & collect points as part of an omnichannel strategy. Additional data includes household income statistics, total spending power and movement data that makes it possible to target specific groups and areas with high foot traffic. Users can easily upgrade to the new Pro plan within the platform.
Businesses with a large number of branches and the need for even more advanced analytics can select Targomo’s enterprise solution. This plan offers customized services, such as revenue prediction, cannibalization analysis and assortment optimization. Advanced analytics leverages the full potential of artificial intelligence, big data and machine learning techniques to optimize a large network of branches.
Curious to see the platform in action? Book a demo.
Location analytics platform TargomoLOOP supports managers in different industries to analyze locations and quickly see their potential in terms of catchment area, customer base and reachability. Knowing how many people and which kind of people a location can attract helps businesses to determine whether it will perform successfully.
Targomo has already helped dozens of organizations in Europe and overseas to effectively use location data. Established businesses such as Oxford Retail Consultants in Britain, Dutch real estate platform Funda, and German beverages retailer Getränke Hoffmann benefit from Targomo’s services. The platform allows every organization to quickly and easily analyze locations and gain new insights.
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Targomo CEO Patrick Schoenemann, left, and Founder Henning Hollburg are very happy with the award.
Location Intelligence specialist Targomo has been awarded as one of Europe’s best deep tech scaleups in the EIT Digital Challenge. The competition took place for the 7th consecutive year and had attracted 403 applications from 32 countries. The winners were selected during an online event where the best 20 deep tech scaleups pitched in front of an expert jury, consisting of innovation leaders from European corporates and investors.
In addition to Targomo, the following four companies were awarded: Icometrix (Belgium), Deepomatic (France), SwipeGuide (The Netherlands) and Wishibam (France).
The awards come with support from the EIT Digital Accelerator to attract customers across Europe and raise funding for international expansion. EIT Digital is part of the EIT (European Institute of Innovation and Technology), an EU body which promotes innovation and entrepreneurship. The EIT Digital Challenge focuses on scaleups with deep tech products that leverage highly sophisticated technologies and fuel digital transformation.
„With this competition, the goal is for EIT Digital to identify fast growth European scaleups in the digital space and to support them to become dominant global companies,” said Shehryar Piracha, Head of EIT Digital Accelerator, on LinkedIn.
After winning the award, Targomo CEO Patrick Schoenemann said: “We are very proud to have won this prestigious award. With the expertise of EIT Digital Accelerator we can double down on growing our business in Europe and abroad, and follow our mission make location intelligence available to any kind of business.”
Targomo has already helped dozens of organizations in Europe and overseas to effectively use location intelligence, which combines data with AI-powered analytics. Established businesses such as Oxford Retail Consultants in Britain, French real estate platform SeLoger (part of German media group Axel Spring), German beverages retailer Getränke Hoffmann, and Oslo’s public transportation company Ruter benefit from Targomo’s services. They either use Targomo’s plug-and-play location analytics platform, or the company’s API services, which is software to integrate Targomo’s solutions into their own platforms.
Recently, Targomo has released a new platform version that allows businesses to conduct location analytics free of charge. “Location intelligence has such a great potential to improve operations and people’s daily lives. But for many organizations and people the entry barriers are too high. We are changing this and making location intelligence accessible to everyone,” said Patrick Schoenemann.
The EIT Digital Accelerator program will give Targomo access to a team of 30 business developers and fundraising experts to help the company secure target customers and raise capital, operating from 17 cities across Europe as well as a hub in Silicon Valley. Since 2012, the Accelerator has supported over 300 startups which have raised a total of €900 million ($1.1 billion) in venture capital.
Targomo CEO Patrick Schoenemann, top left, cheers after hearing of winning the EIT Digital Challenge award.
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As summer draws to a close and autumn takes over, Targomo is roaring ahead. The Berlin location intelligence startup is delighted about two recognitions: Firstly, the participation in the renowned German Accelerator program, and secondly the selection as finalist to compete in the EIT Digital Challenge 2020, Europe’s flagship competition for Deep Tech scaleups.
Together with 12 other German start-ups, Targomo is part of the German Accelerator U.S. Class 2020-4. Participation in the virtual German Accelerator program promises to be the beginning of an expansion journey into the US market for Targomo. The in-depth program is designed to help mid- and later-stage startups to enter international markets. During an intense mentoring phase of three months, the GA team will support Targomo with their experts in getting access to and entering international markets and innovation hubs.
German Accelerator is run by German Entrepreneurship GmbH and is supported by the German Federal Ministry for Economic Affairs and Energy (BMWi). It is their belief that investing in startups is a means to directly invest in innovation.
Targomo has also been selected by EIT Digital as a finalist in its renowned pan-European competition EIT Digital Challenge. EIT Digital is part of the EIT (European Institute of Innovation and Technology), an EU body which fosters innovation and entrepreneurship. The competition focuses on startups in growth stage, so called scaleups, with deep tech products that leverage sophisticated, hard-to-reproduce digital technologies that fuel the digital transformation.
A total of 403 companies from 32 countries applied for the competition. They cover a variety of areas strategically chosen with respect to major digital trends and European leadership potential: Digital Tech, Digital Industry, Digital Cities, Digital Finance and Digital Wellbeing. The twenty best companies have been invited to an exclusive online final event on 12 November to present their technology to an international expert jury of corporates and investors. Stakeholder of the digital innovation ecosystem (corporates, investors, journalists and EU institutions) who would like to join the final event can apply here.
Targomo will compete against nineteen other European deep tech scaleups. Five winners will be awarded and receive a full year support by the EIT Digital Accelerator worth €50,000 to grow their businesses in Europe and beyond. The first prize winner will receive an additional cash prize of €100,000.
Stay tuned for the outcomes of the program and the competition!
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Targomo has introduced a new location analytics platform. It allows everyone, from retailers to real estate managers, to find the best location for businesses, improve the performance of their locations, and manage a network of branches. Anyone can register and immediately start using it, no downloads are needed.
Catchment area: The red-colored area on the map shows which people can reach Carlsplatz in maximum 20 minutes by car. The graphics on the left show different demographic groups and the number of people that can reach the location.
The new version of Targomo’s location optimization platform (TargomoLOOP) allows businesses and organizations to quickly gain insights about one of their most important assets: locations.
The service, which is free of charge, helps managers in different industries to analyze locations and quickly see their potential in terms of catchment area, customer base and reachability. Knowing how many people and which kind of people a location can attract helps businesses to determine whether it will perform successfully.
With TargomoLOOP, the Berlin-based startup wants to make location analytics available to everyone. It has already helped dozens of organizations in Europe and overseas to effectively use location data. Established businesses such as Oxford Retail Consultants in Britain, Dutch real estate platform Funda, and German beverages retailer Getränke Hoffmann benefit from Targomo’s services. The new platform allows every organization to analyze locations and gain insights.
“Location data and location intelligence have such a great potential to improve operations and people’s daily lives,” says Patrick Schoenemann, Targomo’s CEO. “But for many organizations and people the entry barriers were too high. With our new platform, we are changing this and making location intelligence accessible to everyone. Setting up a new branch, for example, is a costly decision and difficult to reverse. We help to select the right location from the start and reach the target groups which are crucial for success.”
The free-to-use version of TargomoLOOP offers essential features to analyze locations with maps, demographics, Points of Interest and movement data, which shows the visitors frequency in an area. Users can analyze an unlimited number of locations and download reports of their findings.
Fast and easy: All the essential location data on a fast and easy-to-use platform. No set-up required: Simply register, type in an address, and get results within seconds.
Catchment area: Users can see how many people can reach their location for travel times between 5 and 30 minutes and four travel modes. The analysis is available for seven population variables: total, male, female, age groups, household size, housing type, place of birth.
Visitors or movement data: Analyzing the catchment area with movement data allows users to see how large potential footfall could be at that location. It is an indication of visitor frequency.
Points of interest: The availability of restaurants, shops, transportation stops, for instance can have a big impact on how attractive an area is for a certain business. Points of interest define the character of a neighborhood and what type of people it attracts and at what times. The platform contains more than 100 different categories.
Comparing and ranking locations: Users can easily rank locations by category, such as the highest reach among the target group of people between 30 and 49. In addition, users can analyze and do the following:
Network of locations: Analyze an existing network of locations and add potentially new ones. Analyze the catchment of branches and see how new locations would impact the overall reach of a network.
Upload data: Upload locations, including branch-specific data, such as opening hours, square surface and number of employees. This makes it easy to compare locations.
Competitors’ networks: By uploading data, users can analyze and visualize the locations of competing businesses, and see where it would make sense to open a new branch (white spots) or relocate one.
Powerful reports: Share location insights with easy-to-understand visualizations and informative reports to communicate with stakeholders.
After a beta launch in August and offering a limited number of features, the Targomo’s platform is live now. Anyone can register for free and analyze locations with just a few clicks.
More countries and features will be added in the future. Additional data sources, more options and advanced features are available upon request.
Tailormade features (requires a customized setup and comes in addition to TargomoLOOP)
Revenue prediction: By including proprietary data and using machine learning technologies, we can identify the factors that drive the performance of your locations. Use these insights to predict sales of potentially new locations, and replicate your successes across the network.
Assortment optimization: Boost sales by adapting your assortment to local tastes. Consumer profiles and spending power data allows for a targeted approach to market products.
Competition analysis: With the help of gravitational models, anticipate how competitors and your own network will affect visitor numbers and overall performance. Identify locations with the most potential and determine whether and how relocation could improve your market penetration.
Make in-depth analyses of locations and their surroundings with Targomo’s new service, a fast and easy-to-use platform to calculate catchment areas with demographic, movement and points-of-interest data.
Targomo’s location analytics platform easily calculates and visualizes how many people you can reach with your store, your restaurant or your office, for instance.
The new version of Targomo’s of location optimization platform (LOOP), free of charge, is available in beta mode and allows users to quickly gain insights about one of the most important business assets: locations. Within seconds, users can calculate the catchment area of branches with demographic, movement and points-of-interest (POI) data.
Many businesses and organizations, from retail to hospitality, from real estate to mobility and public services, can benefit from TargomoLOOP by making detailed analyses of how many people and which kind of customers they can reach with their locations.
“Location data and location intelligence have such a great potential to improve operations and people’s daily lives,” says Patrick Schoenemann, Targomo’s CEO. “But until now the entry barriers were too high for most organizations and people. Targomo wants to change this and make location intelligence accessible to everyone. That’s why we’ve launched a new version of our location intelligence platform that allows everyone to easily gain valuable insights. They only need to sign in, type in an address – and that’s it!”
The free-to-use version of TargomoLOOP offers all essential data to analyze locations, starting with maps (OpenStreetMap), demographics, Points of Interest and movement data, which shows the frequency of visitors in an area. Users can analyze an unlimited number of locations.
Fast and easy: All the essential location data on a fast and easy-to-use platform. Free of charge.
In-depth analysis: Use demographics, POI and movement data to fully understand your location, its trade area and its click-and-collect potential.
Catchment area: Easily calculate catchment areas. Learn how many and which kind of people can reach your locations
Essential data: statistics about the population, country of birth, housing, household size, age groups, movement data (visitor frequency), points of interest (such as restaurants, supermarkets, public transport stops, hotels, etc.)
Powerful reports: Share your location insights with powerful visualizations and reports to convince stakeholders
Businesses that would like to access more data sources – such as the full set of visitor data (movement data), household income groups, consumer profiles and of other countries – or use customized services, such as revenue prediction, can contact us to learn more about our enterprise solution.
Tailormade features (requires a customized setup and comes in addition to TargomoLOOP)
Revenue prediction: By including proprietary data and using machine learning technologies, we can identify the factors that drive the performance of your locations. Use these insights to predict sales of potentially new locations, and replicate your successes across the network.
Assortment optimization: Boost sales by adapting your assortment to local tastes. Consumer profiles and spending power data allows for a targeted approach to market products.
Competition analysis: With the help of gravitational models, anticipate how competitors and your own network will affect visitor numbers and overall performance. Identify locations with the most potential and determine whether and how relocation could improve your market penetration.
TargomoLOOP generates insights for different demographic groups, and takes different transportation means and travel times into account. Users can download the results as a PDF document.
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For the successful performance of shops, supermarkets, restaurants and public services it is essential to know how many people could potentially visit your location. Anonymous movement data makes it possible to see how many people frequent a specific location or area, and predict the potential customer base.
The redder the area, the more people visit that location for at least 15 minutes. Figures measured from Monday through Sunday, 08:00 am to 08:00 pm.
Based on actual measurements of people who spend at least 15 minutes at a certain location on a given day, Targomo’s location intelligence platform TargomoLOOP now offers such movement figures, which are an indication of footfall. This data comes in addition to many other figures available on the platform, such as population statistics, income groups and consumer types. LOOP stands for LOcation Optimization Platform.
Let’s examine some movement figures for a hotspot in Berlin: Alexanderplatz, or Alexander Square. From 8:00 am to 8:00 pm, every day an average of 32,901 people are within a 10-minute walking distance of Alexanderplatz. The square is home to dozens of stores, including a large shopping mall and department store, and it is a major transfer hub for commuters, who arrive by train, metro, tram and bus. The figure does not reflect the number of travelers or passers-by in that area, which is estimated at around 250,000 per workday. These commuters typically spend less than 15 minutes at the station, and are less likely to go shopping in the area.
Movement data allows retailers and restaurant owners to compare different locations, and decide which of these are most attractive in terms of potential footfall. Furthermore, city planners and public service managers use the data to see if a location needs more public infrastructure, such as transportation stops or parks. Contrary to street scanners or manual counters, which are limited to a fixed number of streets, movement data gives a comprehensive overview of all locations in Germany and abroad.
If we’d like to compare Alexanderplatz’s movement data to other locations, Targomo’s platform shows that another shopping hotspot in Berlin, the crossing of Kurfürstendamm and the Kaiser Wilhelm Memorial Church, attracts 27,545 people per day on average between 8:00 am and 8:00 pm from Monday to Sunday. Munich’s central Karlsplatz, also known as Stachus, draws 33,499 people per day in that time frame.
In addition to population statistics and so-called street scanners or counters, which measure pedestrian traffic, movement data is an important indicator of potential footfall. The figures are based on people who have given permission on their devices (typically smartphones) to be tracked anonymously, and are in full compliance with Germany’s and Europe’s strict data and privacy protection laws. It is assumed that each device represents one person. In TargomoLOOP, the data is labeled as GPS-based population.
Movement figures are available for Germany, Austria and Switzerland for different time frames and days of the week, allowing a detailed overview of how many people stay at a certain location. Data for other countries is available upon request.
Location intelligence platform TargomoLOOP is able to visualize and calculate the catchment area on a map for different demographic and target groups, and takes transportation means into account. The green-colored area above shows how many people are within a 10-minute walking distance from Alexanderplatz and spend at least 15 minutes at the same location. Figures are daily averages measured from Monday through Sunday for the time interval 08:00 am to 08:00 pm.
Alexanderplatz’s reputation as a shopping destination becomes clear when looking at visitor numbers for Saturdays only: the number jumps to 51,917 for the time frame from 08:00 am to 8:00 pm (bottom figure in the table on the right-hand side).
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