INDUSTRY INSIGHTS
Surf Brands
The COVID-19 pandemic pushed people towards different mindsets, behaviors, and hobbies. In addition, thanks to a need for social distancng, it pushed people outdoors and into the sea. This was good news for surf brands, where the industry has experienced good growth in the last years.
However, reliable brand and industry data is scarce. How many people are considering buying new surf clothing or equipment in the next 6 months? What is it they value most: brand name, price, or design? What will drive them to purchase? And which are the surf brands that these people know best?
What’s inside?
Latana’s Surf Brand 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 considering buying new surf clothing or equipment in the next 6 months and what their key purchase drivers are
• Brand awareness estimates for surf 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.
