INDUSTRY INSIGHTS
Kid's E-Learning
The global e-learning industry is expected to be worth over $350 billion by 2025. The sector’s growth has been spurred by increased demand for tech-related skills and improved accessibility for content, courses, and classes online.
However, reliable brand and industry data are scarce. How many people are considering using a kid's e-learning tool/app service in the coming year? What is it they value most: brand name, quality or price? What will drive them to purchase? And which are the kid's e-learning brands that these people know best?
What’s inside?
Latana’s Kid's E-Learning Insights delivers core industry data and brand performance of up to 20 relevant players in the industry per market, to help you stay ahead of the competition.
Use this industry dataset to get:
• Insights on how many people are planning to use to a kid's
e-learning service over the coming 12 months and what their key purchase drivers are
• Brand awareness estimates for 20 kid's e-learning brands among purchase considerers and ability to segment results by other demographic profiles
• Monthly updates on changes in awareness levels among the general population with performance and industry benchmarks
• Unlimited access to a dashboard with the ability to download charts and raw data
Tracked brands
Tracked brands
Why Latana?
Latana is focused on bringing you reliable insights. Join a revolution in brand performance technology that provides you with rich datasets to track your industry and brand performance over time.
Our advanced sampling and machine-learning modeling provide you with unmatched data quality that you can rely on.
Our experts do the heavy lifting for you by designing a set of meaningful and quality-assured KPIs, giving you confidence when benchmarking your competitors and tracking your brand performance.
Our dashboard is designed to put quality insights at the forefront. Uncover the most relevant updates for your brand with ease, explore your data further with intuitive navigation, and save your team hours of manual data work.
