Store Analytics
Digital metrics in the physical world.
Modular applications designed specifically for retailers to: learn about and transform the shopping experience, apply targeted marketing strategies, and maximize store performance.
Retail
Insights into your store's performance
Collect data from the outside within your store to get a complete picture of the entire customer journey.
What kind of store do you have?
Analyze the pool of potential visitors around your store and measure and compare the ability to convert passersby into visitors. Identify average dwell times outside the store.
VEHICLES
# Vehicles in the outdoor area
PEDESTRIANS
# Pedestrians in the outdoor area
VEHICLE FLOW
Directionality of vehicle flows and deflections
Measure and compare store performance in terms of window attractiveness and average display time.
PASSAGES
# Passersby in front of each storefront
SOCIODEMOGRAPHIC CLASSIFICATION
Distribution by gender and age group
VIEWS
# Shop window views
ATTENTION TIME
Average time of visual attention to the shop window
BENCHMARK
Comparison values against internal or market average indexes
ATTRACTIVITY INDEX
Relationship between views and passages
Measure the number of admissions, average dwell times within the store with specific analysis of their distribution in space and time.
ENTRANCES
# Incoming and outgoing visitors
SOCIODEMOGRAPHIC CLASSIFICATION
Distribution by gender and age group
RESIDENCE TIME
Average time spent inside the store
GROUPS
# Groups/ families/people moving together
BENCHMARK
Comparison values against average indexes
Measure the effectiveness and engagement of visitors toward specific exhibit areas, products, or product categories.
PASSAGES
# Visitors in front of the product/exhibit area
SOCIODEMOGRAPHIC CLASSIFICATION
Distribution by gender and age group
VIEWS
# Product/Area views
ATTENTION TIME
Dwell time by department
EFFECTIVENESS RATE
Comparison of values against internal or market average indexes
Measure and compare the performance of departments in terms of popularity, audience type, and dwell time.
PASSAGES
# Visitors in different departments
SOCIODEMOGRAPHIC CLASSIFICATION
Distribution by gender and age group
DWELL TIME
Dwell time by department
EFFECTIVENESS RATE
Value of attractive power and sales effectiveness of departments
BENCHMARK
Comparison values against average indexes
PASSAGES
# Visitors waiting at checkouts
SOCIODEMOGRAPHIC CLASSIFICATION
Distribution by gender and age group
GROUPS
# Purchasing groups
DWELL TIME
Dwell time by department
Measuring the audience of digital signage installations to maximize the value of the spaces, both in terms of ADV sales opportunities and to drive targeted content based on the audience in front of the screen in real time.
PASSAGES
# Visitors in different departments
SOCIODEMOGRAPHIC CLASSIFICATION
Distribution by gender and age group
VIEWS
# Product/Area views
ATTENTION TIME
Average time of visual attention to the plant
BENCHMARK
Comparison values against average indexes
Misurare l’attrattività di un negozio sull’intera area commerciale, confrontando il numero di ingressi con il numero di veicoli nel parcheggio e dell’affluenza di veicoli in tempo reale e su base storica.
VEHICLES
# visitatori in ingresso e in uscita
PEDESTRIANS
# Pedestrians in the parking area
DIREZIONE DEI VEICOLI
Direzionalità dei veicoli e uscita
CORRELATION OF ATTENDANCE
Comparazione di presenze nell’area monitorata
Analyze the pool of potential visitors around your store and measure and compare the ability to convert passersby into visitors. Identify average dwell times outside the store.
VEHICLES
# Vehicles in the outdoor area
PEDESTRIANS
# Pedestrians in the outdoor area
VEHICLE FLOW
Directionality of vehicle flows and deflections
Measure the number of admissions, average dwell times within the store with specific analysis of their distribution in space and time.
ENTRANCES
# Incoming and outgoing visitors
SOCIODEMOGRAPHIC CLASSIFICATION
Distribution by gender and age group
RESIDENCE TIME
Average time spent inside the store
GROUPS
# Groups/ families/people moving together
BENCHMARK
Comparison values against average indexes
Measure the effectiveness and engagement of visitors toward specific exhibit areas, products, or product categories.
PASSAGES
# Visitors in front of the product/exhibit area
SOCIODEMOGRAPHIC CLASSIFICATION
Distribution by gender and age group
VIEWS
# Product/Area views
ATTENTION TIME
Dwell time by department
EFFECTIVENESS RATE
Comparison of values against internal or market average indexes
Measure and compare the performance of departments in terms of popularity, audience type, and dwell time.
PASSAGES
# Visitors in different departments
SOCIODEMOGRAPHIC CLASSIFICATION
Distribution by gender and age group
DWELL TIME
Dwell time by department
EFFECTIVENESS RATE
Value of attractive power and sales effectiveness of departments
BENCHMARK
Comparison values against average indexes
PASSAGES
# Visitors waiting at checkouts
SOCIODEMOGRAPHIC CLASSIFICATION
Distribution by gender and age group
GROUPS
# Purchasing groups
DWELL TIME
Dwell time by department
Measuring the audience of digital signage installations to maximize the value of the spaces, both in terms of ADV sales opportunities and to drive targeted content based on the audience in front of the screen in real time.
PASSAGES
# Visitors in different departments
SOCIODEMOGRAPHIC CLASSIFICATION
Distribution by gender and age group
VIEWS
# Product/Area views
ATTENTION TIME
Average time of visual attention to the plant
BENCHMARK
Comparison values against average indexes
What are the benefits?
Maximizing store attractiveness and conversion rate
A/B testing on visual activities and exposure performance analysis
Store layout optimization and staff management
Calibration of brand/product mixing and sales policies
Staff exclusion
Reliable data
You can remove employee passages from the counts in order to maintain numerical values of only the passages of visitors to the monitored area.
With this feature, technology is trained to recognize uniforms, and all employees will be “invisible” to sensors. Their transit will not affect the passage counts of individual areas.
Staff exclusion is performed internally on the sensors: processing occurs instantaneously on board each sensor, and the identity of employees cannot be traced.
Data Visualization
Custom data platform to visualize and export data
Anonymous and aggregated data collected in real time can be accessed on Blimp Analytics dashboards or transferred to third-party platforms.
DATA VISUALIZATION
With Dashboard Blimp Analytics for:
- Benchmark – comparator
- Analysis and comparison across the entire network of stores
- KPI analysis to create aggregations of geographic areas, pdv performance, store categories (e.g., malls and on-street)
- Integration via API
- Export to excel
Commercial packages
Choose the best package for you
Select the depth of analysis based on your store configuration and get insights in real time.
STARTER
Real-time analysis and counting of: outdoor passages, entrances, and storefronts
ADVANCED
Real-time analysis and counting of departments
Includes data from the STARTER package
FULL COVERAGE
Real-time analysis and counting of products and tills
Includes data from the ADVANCED package
Want to find out about the various features?
Do you want a quotation?
Case Studies
Explore application cases
Examples of projects fielded with our clients.
Leroy Merlin needed to collect real-time information about store visitors and their behavior in different areas of interest: parking area, entrance area, department area, display area, product focus, and checkout area.
By installing various Head-Counter sensors, the client could then know the average time spent in individual departments at different times of the day to determine staff allocation accordingly.
In addition, with a view to having extremely accurate data that would not be impacted by the steps of the staff inside the store, it experimented with the Staff Exclusionfeature: in fact, the sensors were trained to recognize the uniform of the staff and thus make them invisible to the data.
On the occasion of the 2019 edition of Mille Miglia (15-19 May), Blimp sensors were installed on the vehicles to: measure the number of spectators along the entire route of the event and subdivided by stages; socio-demographic classification of spectators (age, gender, groups); define the volume of brand exposure for each stage of the route; monitoring through the acquisition system installed on board 4 cars distributed within the convoy.
Verified accuracy rate: 98.3%.
Amazon needed to understand the most attractive areas of the shop-in-shop within Mediaworld Milano Certosa in order to recalibrate product positioning and layout strategies.
Real-time audience measurement made it possible to analyse the flows of the five departments in the shop-in-shop, measure attendance and optimise dwell times per department. This data was correlated with the daily receipt data to get a more precise analysis of the conversion rate of each area.
The objective was to monitor the flow of visitors to the customer’s stands during major trade fairs such as Refrigera and C&R and Sigep, thanks to the on-site installation of Blimp’s Head-Counter sensors.
What was the purpose? Collect detailed data on flows, average dwell times and stand attractiveness performance, conversion rate between external and entrance pedestrians and dwell times per area.
Driven by the growing popularity of electric vehicles, petrol stations will have to transform themselves by becoming multi-service, with new entertainment points, responding to new needs.
With Head-Counter sensors, privacy by design, the station environment can be reproduced in order to collect data on pedestrian and vehicle flows.
The real-time measurement of passages and the display of insights on customised dashboards allow trends to be analysed and redesign strategies to be adapted to the space and user experience within stations.
Mondadori needed to introduce advanced technological tools into its stores, which would allow it to have reliable data with which to shape and calibrate its strategies to make precise data-driven choices in order to maximise sales and improve the in-store experience according to the target audience.
Thanks to Blimp technology, it was possible to create a digital twin of the environment surrounding the shop with a special focus on shop windows and entrances, using on field sensors that analyse and certify the impact of individual creativity in shop windows and on conversions to entrances.
Real-time audience measurement and the display of insights on dashboards have given Mondadori the tools to constantly improve its marketing and sales strategies.
