Rapid delivery analytics
Quick commerce apps data in real-time. Prices, stock availability, sales shares and promotional activitiesABOUT US
ABOUT US
DEF RDA is an analytical tool that tracks data from rapid delivery apps
and gathers key e-grocery metrics across thousands of dark stores,
giving FMCG brands real-time data and actionable insights.
Our solution helps FMCG brands receive 360 analytics on rapid delivery services: sales, marketing, and strategy insights and, therefore, spend less and earn more.
We provide the self-service interface and API integration for brands to deliver data in the most precise way possible.
Our solution helps FMCG brands receive 360 analytics on rapid delivery services: sales, marketing, and strategy insights and, therefore, spend less and earn more.
We provide the self-service interface and API integration for brands to deliver data in the most precise way possible.
Q-commerce apps
Key metrics
Self-service / API
HOW IT WORKS
HOW IT WORKS
ANALYTICS OUR ANALYTICS
OUR ANALYTICS
FOR BRANDS
Include
Price variations, stock availability information, promotional activities data
Based on mobile-apps monitoring system – most precise way to get the data
Features self-service dashboard to visualise insights and API integrated services for custom reports
Day-to-day monitoring shows new dark stores and enables alerts on any sensitive metric
use cases
use cases
CATEGORY PERFORMANCE
- — Get a quick category overview of key e-commerce metrics
- — Easily identify new players of the category
- — Compare your products to competitors with the product overview
BENCHMARK COUNTRIES
- — Global overview of key e-commerce metrics
- — Deep granularity: country, city, dark store, category
- — Compare countries and delivery services performance together
VISIBILITY & STOCK AVAILABILITY
- — Control out-of-stock data for each dark store in monitoring
- — Understand category position vs. competitors
- — Identify the most relevant categories to improve position
FREE DEMO
FREE DEMO
Get free demo access to the platform:
