Rideshare & Gig Delivery Analytics | Gridwise
The most comprehensive and representative gig mobility dataset in the U.S.
Gridwise Analytics ingests and processes 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.
This dataset provides national and metro-level visibility into worker pay, labor behavior, and customer pricing, revealing shifts in supply, demand, and unit economics before they appear in reported results.
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Solutions
Worker Pay Benchmarking
Benchmark driver earnings, pay component mix, and compensation trends across platforms and markets.
Operational and Financial Modeling
Forecast platform performance, market expansion impact, and workforce-driven margin shifts with confidence.
Pricing Analysis
Track customer pricing trends, surge dynamics, and competitive pricing strategies across gig platforms.
Unit Economic Analysis
Model revenue margin, gross bookings, and other key KPIs to make better financial predictions.
Merchant Insights
Monitor merchant performance and demand within delivery ecosystems.
Worker Behavior Analysis
Analyze participation, supply shifts, multi-apping behavior, and labor elasticity at national and metro levels.
Use cases
Worker Pay and Behavior Analysis Pricing and Unit Economic Analysis Merchant Insights Operational & Financial Modeling
Gig Worker Earnings & Pay Benchmarking
Benchmark worker earnings per hour, per trip, and per mile across platforms and markets to maintain competitive compensation.
Multi-Platform Behavior & Engagement Analysis
Analyze cross-platform participation, retention trends, and engagement patterns to understand labor elasticity and switching behavior.
Incentive & Compensation Optimization
Evaluate how bonuses, promotions, and pay structures impact retention, satisfaction, and workforce stability.
Driver Utilization & Efficiency Modeling
Identify idle time, demand concentration, and geographic inefficiencies to improve worker productivity and market coverage.
Worker Supply Analysis
Quantify labor availability and market-level supply shifts to inform recruitment and expansion strategy.
Customer Charge Benchmarking
Compare customer pricing across platforms and markets to evaluate competitive positioning and pricing strategy.
Revenue Margin Analysis
Measure platform fee and platform fee rate dynamics to understand revenue and profitability drivers.
Incentive & Promotion Impact Analysis
Understand how bonuses, surge pricing, and promotional strategies influence demand, supply balance, and margins.
Market-Level Unit Economics Modeling
Analyze earnings composition, pricing power, and cost structure at the national and metro level to evaluate platform performance.
Revenue & Profitability Forecasting
Build forward-looking models that incorporate pricing trends, labor costs, and demand shifts to project financial outcomes.
Merchant Performance Analysis
Understand how merchants transacting on gig platforms are performing.
Identify Optimal Merchant Partnerships
Identify high-performing merchants for expansion opportunities.
Optimize Site Selection
Identify the best locations for expansion based on demand and delivery trends.
Financial Impact Modeling
Quantify how changes in pricing, incentives, labor supply, or expansion strategy will affect revenue, margins, and overall platform profitability.
Strategic Initiative Impact Analysis
Measure the operational and financial performance of major platform initiatives, including pricing changes, incentive restructures, new service launches, or market-wide rollouts.
Who we serve
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.
Retail
Merchants can optimize their performance across sales channels by leveraging gig mobility data to understand customer behavior, improve location and inventory decisions, 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.
Ingest gig mobility data in the format that best suits your team
Gridwise reports
Gridwise Reports allows firms to monitor and respond to trends in platform fees, driver supply, customer demand, and merchant performance through our aggregated metrics.
Comprehensive insights
Access aggregated insights 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 record-level data
Gridwise Analytics offers granular and comprehensive record level data, 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.
Data-driven reports
The 2026 Annual Gig Mobility Report
Read how driver pay and behavior, customer pricing, and platform unit economics have evolved in 2025 and what’s ahead in the future.
Download report
Autonomous Vehicle Impact Report
The 2026 AV Impact Report analyzes how autonomous vehicle deployments are affecting human rideshare drivers across major U.S. cities—revealing faster declines in trips per hour, localized earnings pressure, and the pricing hurdles AVs must clear to scale.
Download report
Rideshare Ride Type Report 2025
Inside Uber and Lyft’s changing ride mix — where the rise of Comfort, XL, and Priority is shifting fee rate dynamics trip by trip.
Download report
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 in the ever-changing world of gig mobility.
Download report
S&P Global Mobility & Gridwise Analytics Whitepaper
Gain a deep understanding of market selection, fleet optimization, and the pricing strategies AV companies must master to dominate the ride-hailing landscape.
Download report
Blog
Multi-apping trends: Insights from gig driver analytics
Multi-apping is the widespread gig driver practice of accepting rides from more than one gig platform. Drivers choose to multi-app based on personal preferences and money-making strategies.
What percentage of gig drivers multi-app?
Data insights reveal that a sizable percentage of gig drivers from all major platforms engage in multi-apping.
Although the percentage of drivers from Lyft and Uber who multi-app is constantly changing, a distinct pattern of more Uber drivers engaging in the practice prevailed—until early 2023, when Lyft drivers started to multi-app more frequently. By Q4 2023, more than 55% of Lyft drivers multi-apped, as opposed to about 50% of Uber drivers.
Data has also revealed that over 60% of Uber Eats and Shipt gig drivers multi-apped.
A large percentage of gig workers across categories multi-app
A large percentage of gig workers across categories multi-app
% of drivers that engaged in multiapping by month
% of drivers that engaged in multiapping by month
Multi-apping rates between Lyft and Uber
In 2019 we saw that around 10% more Lyft drivers were multi-apping than Uber drivers. This percentage changed drastically in Q1 2022 when analysis showed Lyft drivers started to multi-app with even greater frequency.
As of Q1 2024, Lyft rideshare drivers were multi-apping with the Uber platform at about 55%, while Uber drivers were multi-apping on the Lyft platform at a rate of just over 25%.
Airport-specific rideshare trends and pricing patterns
Airport rideshare activity presents unique challenges and opportunities for both drivers and companies. Our analysis of gig driver data from four major US airports—ATL (Atlanta), JFK (New York City), LAX (Los Angeles), and ORD (Chicago O'Hare)—reveals distinct patterns in pricing, profitability, and driver incentives.
Airport pickups cost passengers the most
Airport rideshare trip price by time of day
Airport trip bonus insights
A review of Uber rideshare activity during Q4 2023 revealed that JFK airport has the highest fares for pickups and drop-offs.
Airport take rate insights
Take rates vary across airports, influencing driver and company profitability.
The value of granular data and unbiased insights for rideshare platforms
Gridwise Analytics insights give companies reliable data to retain highly competent and loyal drivers and determine competitive pricing strategies.
Have a look at these articles to discover further insights:
- Read the Gridwise Annual Gig Mobility Report
- The Impact of Third-Party Food Delivery on Quick Service Restaurants
- Understanding Gig Drivers: Investor Insights from Gridwise Analytics
- Mobility Data: What Gig Driver Loyalty Reveals to Investors
Drivers on the Move
Grubhub had the highest multi-apping rate among major platforms. Over 70% of its drivers used another app within the same month.
Consumers remain highly price-sensitive
According to surveys, rising fees pose a significant risk to usage, with 88.1% of consumers saying they would cook at home more often if delivery became more expensive.
This highlights a narrow margin for pricing flexibility and suggests modest cost increases could reduce order volume across platforms.