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.

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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

Featured content on Road Traffic Analytics

Person loading their car with grocery bags

Gas prices impact spending: What mobility data reveals early

When gas prices rose, mobility data showed early drops in restaurant, grocery, and retail visits before sales data caught up.
Read our analysis

Why use mobility data for retail and QSR site selection?

Learn why mobility data offers unparalleled location intelligence to retail and QSR real estate teams.
Read our article

Why foot traffic data isn’t enough to explain real world behavior

See how driving data reveals journeys to help brands better understand customer behavior.
Read our article

Using mobility data to understand the full customer journey

Learn how mobility data helps you better understand customer journeys so you can uplevel your marketing, operations, and customer experience.
Read our article

Mobility data for retail: Beyond foot traffic

Foot traffic shows what happened. Mobility data shows what's happening — and what's next.
Read our article

How mobility data is transforming retail strategy for C-stores

Mobility data offers new avenues to better understand your c-store customers.
Read our blog post

Learn more about Road Traffic Analytics

See our data stories Contact us for a demo

News & insights

blog post

How the World Cup opener shifted retail and hospitality visits near…

See how World Cup mobility data around SoFi Stadium revealed shifts in retail, grocery, bar, hotel, and sporting goods v…
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blog post

Mobility data reveals consumer demand shifts when a new grocery s…

Mobility data shows how a new grocery store opening can quickly – but unevenly – shift local traffic patterns.
Read blog post
blog post

Gas prices impact spending: What mobility data reveals early

When gas prices rose, mobility data showed early drops in restaurant, grocery, retail, and entertainment visits before s…
Read blog post
blog post

Are drivers crossing state lines to find cheaper gas? Sort of

Driving intelligence reveals changing consumer behavior, such as whether drivers are crossing state lines for cheaper ga…
Read blog post