PRODUCT

Road Traffic Analytics

Use real-world driving behavior data to understand consumer demand

In retail, margins are often thin and profitability depends on making the right decisions at the right time. Understanding consumer movement patterns provides valuable insight. These insights can help retailers make more informed decisions for greater profitability including staffing, inventory allocation, site selection, and promotional strategy, while also identifying the audiences most likely to encounter a location. Road Traffic Analytics is the ingredient you need for more effective and efficient retail operations.

The problem

Retail leaders lack visibility into dynamic traffic flow, consumers' routes and routines, and potential bottlenecks
Operational decisions may be based on assumptions, not observed behavior
Decision-makers lack an understanding of who's passing by or choosing competitors
Traditional data may fail to capture accurate dwell times and impact on revenue

How Road Traffic Analytics can enable stronger retail operations

Road Traffic Analytics transforms aggregated, anonymized mobility data into consistent, time-based intelligence that helps retailers improve operational efficiency, target marketing more effectively, and shift from reactive decision-making to proactive planning. With a precise understanding of traffic and movement, organizations can understand:
  • When customers are likely to be in a trade area
  • How traffic flows change throughout the day and week
  • The routes people take before reaching a destination
  • Where shoppers may be visiting competitors
  • Which locations experience predictable shifts in activity

Use cases

Store staffing and hours optimization
Align staffing levels and hours with actual demand patterns
Marketing and promotion targets and timing
Develop data-backed support for promotions and marketing
Trade area and catchment analysis
Define trade areas for owned and competitive sites
Inventory and demand planning
Anticipate demand spikes based on historical traffic patterns
Competitive location benchmarking
Construct stronger similar-store models to evaluate performance
Site selection
Generate more accurate financial forecasts based on more accurate data

Capabilities

Drive-by traffic volume
Monitor trends that reflect overall demand
Site visit volume
See precise trip ends and capture rates
Dwell times
Understand average time parked before starting a new trip
Trip visitor origination
Understand where customers reside as percentage of visits
Cross-visitor volume
Compare visits between your own sites and those of others
Competitor drive-by count
Measure the traffic bypassing competitors to visit your locations
DATA STORY

Mobility data reveals consumer demand shifts when a new grocery store comes to town

Data from Road Traffic Analytics shows how a new competitor can quickly – but unevenly – shift local traffic patterns.

Read the analysis

Learn more about Road Traffic Analytics

News & insights

blog post

Transportation is connected. The intelligence behind it should be, t…

Arity’s agreement to acquire INRIX brings together complementary intelligence across driving behavior, mobility patter…
news

Walmart reveals soccer fans’ World Cup shopping habits

Data is starting to trickle in about how consumers’ shopping habits shifted during the World Cup.
Modern Retail
blog post

How mobility data revealed World Cup group stage visitation patterns…

Privacy-safe mobility data shows how World Cup group-stage matches shaped retail visits across host cities, from downtow…
news

World Cup opener draws non-local fans as retail traffic rises around…

New mobility data suggests the opening match of the FIFA World Cup at SoFi Stadium in Inglewood, California attracted a…
Retail Insider