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Vibrane uses weather intelligence for predicting customer behaviour in order to help marketers improve their RTB campaign results. RTB ecosystem strives for any information about users that improve real time bidding campaigns: they usually are looking for demographic profiles, behavioral predictions, information about favourites, interests and preferences. But there is another factor that substantially influence people’s decisions: their current weather experience. Some studies show that bad weather increases conversion rate of e-commerce sales from 12% to 14%, increase in traffic is even higher. Is that first sunny day after a rainy week? Has temperature increased since yesterday even if is still cloudy? We believe that improving campaigns by providing absolute temperature or humidity - being a standard on the market now - is not enough. Vibrane analyses weather and geographical data for tens of thousands of locations all over the world in order to achieve one goal: to predict how current local conditions influence customer behaviour. Vibrane knows how online visitors perceive their current local weather conditions in terms of outdoor activities and provide that knowledge to RTB data ecosystem by tagging them with one of Vibrane weather segments. The segments reflect user perception in different grades of “good/bad” weather despite variety of local climates, seasons and time of the day. Online presentation: https://swipe.to/0958cj https://vibrane.com/

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Website http://vibrane.com
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Founded 2014
Technologies
Industry Technology, Information and Internet

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