Research states that 80% of travelers abandon their online travel shopping midway. For most people, it is the exhaustive search and the lack of experiences aligned to their need, that drives them away.
With our Smart travel analytics, our clients can identify the stage at which the traveler is- Inspired for travel, researching, purchasing, experiencing or advocating the experience. Our solution can also decode the traveler type into various segments for example, single male, single female, couple, friends, physically challenged, pet friendly and more.
Using our Travel Search Intelligence solution, travel aggregators can also identify the reason for the travel and be prepared to create and offer experiences that match the need from those seeking adventure to history, beach/sun/surf, city breaks, art, special interest, cuisine and any other variation of these.
Our Travel Search Intelligence solution uses big data aggregated across travel search globally to generate scores and values for a very large and diverse set of parameters. These act as key influencers for travel recommendations.
Display short snippets of video stories on the hotel. The video is custom stitched together to match the interests of the traveler. This means two travelers with different personas see different video stories that are completely customized to their needs.
Display reviews of facilities or room type or food menu based on the traveler preferences as decoded by our Travel Search Intelligence solution.
Customer reviews and sentiment scores are segmented based on traveler types (gender, age, interests) and personas to deliver the right fit of hotel inventory and preference match
Display amenities that matter most to the traveler. If the persona is that of a leisure traveler with a family showcase the pool or the jacuzzi. Whereas for a business traveler includes the meeting rooms and amenities that match.
Customer reviews and sentiment scores are segmented based on traveler types (gender, age, interests) and personas to deliver the right fit of hotel inventory and preference match