By analyzing social networks activity, we provide DMO's, Hotel Chains, OTA's and Travel Agencies, with the appropriate real-time Destination Intelligence they need to better understand their target markets and improve their decision-making.
By accessing our user-friendly platform, businesses can measure everything that is being said on social networks about any Destination in order to fully understand tourist perception and satisfaction, and stay ahead of market trends and demand-drivers.
For any given destination Socialvane is able to automatically detect the main origins of the people who are talking about its experiences and offerings. This data is displayed in a way that makes it really easy to perform comparative analyses to understand source-market particularities.
For any source market or demand driver, Socialvane is able to understand gender and age distributions helping us to get a full picture of our target markets. When it comes to analyzing key market trends, this is a key segmentation asset.
Using the latest technology available, we have built our own semantic system able to detect key demand drivers. This makes it possible to accurately measure how sensitive some markets segments are to specific destination offerings and get a clear understanding of a destinations perceived positioning.
Some of the most spoken about touristic attractions may not be that obvious; in order to really know which attractions people like the most, we have built an algorithm that uses geo-tagged data and heat-maps to automatically sort those attractions.
Apart from understanding key market trends in a specific destination, it is extremely important to compare those trends against similar destinations in order to fully understand key differentiating assets.
The most important one; measures the overall satisfaction with the destination.
Measures how satisfied people are with destination offerings.
Measures the degree of security perceived by visitors.
Measures how satisfied visitors are with the weather.
Accurate data: a specialized travel algorithm able to discard any data point not related to tourism activities in order to filter out noisy data and work with highly relevant data points.
Unlimited segmentation capabilities: every single variable can be easily crossed so that you can get the degree of detail you need. This is not about surface trends, it is about diving deep into social travel intelligence insights.
Learning algorithm: yes, our system is able to learn which means that it gets smarter day after day.
“In a fiercely competitive industry, Big Data and AI will bring new sources of intelligence that will transform the way decision makers work and, of course, the first to adopt this system will gain a significant competitive advantage.”