Actionable intelligence on the gig mobility industry
Gridwise Analytics transforms comprehensive, anonymized data – spanning over 500,000 gig workers and 500 million trips – into actionable insights that can propel your business forward.
Book a demo and receive a free data and insights report
Finance, retail, gig mobility, and AV fleet businesses rely on Gridwise Analytics to gain insights into the health of the gig mobility industry and assess the performance of platforms and merchants operating within it.
Gig Mobility
Gig mobility platforms can leverage data from Gridwise Analytics to boost driver loyalty, improve service coverage, expand into new sectors, benchmark performance, and enhance their economic modeling.
Finance
Financial services firms can gain early insights into key KPIs of major gig platforms like Uber, Lyft, DoorDash, and Instacart – as well as their merchant partners – and gain an edge on the markets.
Quick-Service Restaurants
Quick-service restaurants can optimize performance on delivery platforms by leveraging gig mobility data to understand the impact of marketing campaigns, improve site selection, and gain insights into competitors' strategies.
Autonomous Fleets
Autonomous vehicle fleets can leverage gig mobility data to create accurate operational and financial models, improving decision-making and strategic planning.
Use Cases
Driver earnings benchmarking
Understand how much drivers make per hour, per mile, and per service to ensure competitive pay across regions.
Customer charge benchmarking
Compare customer charges across platforms to optimize pricing and stay competitive in the market.
Take rate analysis
Evaluate platform take rates to understand profit margins and improve revenue sharing strategies.
Forecast merchant partner performance
Predict how potential merchant partners will perform, helping you select those that will drive growth.
Optimize ride-hail fleet service coverage
Determine where and when to deploy your fleet to maximize coverage and minimize wait times.
Improve ride-hail and delivery driver loyalty
Identify pay and incentives that improve driver satisfaction and retention across your platform.
Model fleet revenue
Build accurate revenue forecasts for your fleet based on real-time data and market trends.
Model fleet operational needs
Forecast operational needs like fleet size and staffing based on regional demand trends.
Boost driver utilization
Direct drivers to high-demand areas, reducing idle time and increasing their earnings.
Identify optimal merchant partnerships
Use data to identify high-performing merchants and build partnerships that maximize revenue.
Optimize real estate strategy
Select the best locations for new sites by analyzing customer demand and delivery performance.
Understand marketing campaign performance
Track how marketing campaigns impact delivery revenue and optimize for better results.
Correlated with publicly available data
Every month, we ingest and process millions of anonymized location, trip, and earnings records from ride-hail and delivery drivers that work on platforms like Uber, Lyft, DoorDash, Grubhub, Instacart, Amazon Flex, and countless others.
Gridwise Analytics’ driver panel is highly representative of market dynamics when compared with quarterly reported gig platform metrics.
Up to
correlation
Ingest gig mobility data in the format that best suits your team
Gridwise Reports
Gridwise Reports allows firms to easily monitor and respond to trends in take rate, driver supply, customer demand, and merchant performance.
Comprehensive insights
Access detailed data on supply, demand, and operational trends for a complete market view.
Actionable
Understand key trends without needing data scientists, enabling immediate decision-making.
Weekly Updates
Receive reports in your inbox every week to ensure you have the latest insights.
Gridwise Trip-Level Records
Gridwise Analytics offers granular and comprehensive trip records, empowering data analysts to build precise analytic models.
Granular data
Access detailed views of individual trips for in-depth analysis of driver behaviors and customer preferences.
Highly customizable
Tailor temporal and geographic insights to meet specific needs, enabling personalized analysis and strategic planning.
Custom segmentation
Easily segment and cohort trips by driver types, regions, points of interest, and merchants for targeted insights and analysis.
In-depth research and analysis
S&P Global Mobility & Gridwise Analytics Whitepaper
Gain a deep understanding of market selection, fleet optimization, and the pricing strategies AV companies need to master.
Download the whitepaper →
The 2025 Annual Gig Mobility Report
Gain a deeper understanding of key trends in customer pricing, driver pay, the rise of on-demand delivery, and more.
Download the report →
Insights
Lyft’s Shift: A Look at Recent Rideshare Performance
Lyft closed 2024 with record revenue, its first full year of profitability, and over 800 million completed rides. However, on-the-ground data tells a more
DoorDash’s Rise: A Look at Recent Delivery Performance
DoorDash’s transformation from a Silicon Valley start-up to a dominant force in the gig economy has reshaped the food and retail delivery landscape. Once
How Cultural Events and Holidays Drive Gig Economy Demand
In the fast-moving gig economy, demand is anything but static. Major holidays, cultural events, and seasonal trends create predictable surges in rideshare, food delivery,
Case Studies
Replica: Enhancing Mobility Insights with Gridwise TNC Data
We explore how Gridwise Analytics powers Replica’s transportation models with granular gig mobility data and mobility insights.
Data-Driven Strategy: How Gig Mobility Drove Fleet Efficiency in an Autonomous Vehicle Company’s Strategy
About the collaboration At Gridwise, our focus is, and always has been, to empower gig drivers as part of our mission of Improving the
Gridwise Mobility Data Analytics Pinpoint EV Charger Locations
The customer In 2010, two entrepreneurs launched an electric vehicle infrastructure company, providing charging stations for EVs (electric vehicles). They placed these EV chargers
