A deeper look into what we’ve built at Left Travel

At LEFT TRAVEL, we believe that travel broadens the mind — or rather, travel bookings and intent do.

By this, we simply mean that when you take the input of millions of travel data points and the creativity and experience of our team, we can launch new marketing campaigns and influence the travel intent of millions of travelers annually. We call this the TravelMind platform.

What is TravelMind

TravelMind is a cloud-based platform that captures, stores, and processes millions of points of data about both travelers and accommodation options around the world. With this data, TravelMind influences travel decisions (either a successful booking or lack thereof) and trains our algorithms to improve our performance and our ability to attract future travelers.

In doing so, our platform emulates human decision-making, combining both sides of the brain.

On the left, analytical side, we collect data points from every potential traveler. This happens when a traveler expresses travel intent (e.g., via a search on one of our sites or through one of our search partners), when they reserve a room (or do not), or when they simply click, sort, filter, give feedback, or click off to a partner… all their actions are stored within TravelMind. Our platform uses our proprietary data combined with machine learning algorithms to optimize decision-making and influence travel decisions.

On the Right, creative side, our experienced digital marketing team uses our big data to optimize on trends to increase traffic. Once a trend is identified, the Left Travel team builds and deploys niche segments to better match traveler personas and make it easier for them to find the right accommodation and improve their travel experience. This includes launching websites in local languages, creating localized domains in new markets, or tapping into specific needs like business travel or pet friendly accommodations. Accompanied by the construction of targeted marketing campaigns, the team is always finding new ways to automate traveler acquisition, while also servicing our customers, and the travel sellers, from around the world.

User Flow

  1. First, a traveler expresses consumer intent by searching for a vacation rental or hotel on a major search engine, such as Google or Bing.
  2. After clicking on one of our ads, the traveler passes through to one of our 17 segments or websites. Their experience is unique as the TravelMind platform personalizes it using psychographic, demographic, and behavioural data. This includes all historical visits from the past 5 years; as well as what we know about this particular user at this moment in time. We use this data to tailor their booking experience to help match them to the right property out of our 14M, at the right time.
  3. Once the traveler has made their accommodation choice, influenced by TravelMind, they’re then referred over to our customers (online travel sellers) where they complete their ‘travel decision’ by booking a hotel or vacation rental.
  4. Next, we use big data and machine learning to learn from the traveler’s buyer’s journey, and the data is fed back into TravelMind. Our experienced team then uses this data, alongside millions of other data points, to spot trends and manage campaigns at scale.
  5. Lastly, we automate the process to find more travelers with high travel intent, and the process repeats.

The elements of TravelMind

● Value Accrues with Every Visitor:
The travel accommodation marketplace is over saturated. With our platform we help users by aggregating the options by location, desired travel dates, number of guests, price range, and type of accommodation. We combine over 500 million unique data points, resulting from over 4 million room nights booked, to create a scalable segmentation strategy. For the traveler, our platform helps them navigate the over saturated travel accommodation marketplace by aggregating the options by location, desired dates, number of guests, price range, and accommodation type to make sure they find the right property at the right time.

● Machine Learning and AI:
Every decision a traveler makes provides TravelMind with more data and improves the accuracy of future matches. We use machine learning and predictive to help travel sellers maximize their yield.

● Customer focused:
TravelMind makes travelers happy because they quickly and easily find what they want. TravelMind makes travel sellers happy because we help them sell perishable inventory, increase long-term market share, and attract new travelers into their sales funnels.

About Left Travel

Based in the suburbs of Vancouver, Canada, Left Travel harnesses data-driven intent to match travelers to the right property at the right time. In addition to making travelers happy, we help online travel sellers maximize their yield, ensuring more properties are booked every single night.

Millions of travelers rely on Left Travel monthly to help find the perfect place to stay, easily comparing more than 14M vacation rentals, condos, hotels, and resorts across an ever-growing network of niche travel brands.