Send Us Your Travel/Hospitality Business Pitch

sasha uritsky

Nov 10, 2015

nmodes is a data analytics company. We analyse data based on consumer intent. We’re pretty good at it.

We spend a significant portion of our processing resources on analysing travel data. And so we are fast to know when somebody is planning a trip, or looking for a place to stay, or visiting your city and searching for activities, restaurants, entertainment.

In addition to data processing we help businesses in monetizing the data we deliver them. We create and implement the marketing strategy to convert intent-driven consumer data into your sales. Typically the majority of the data comes from social web, and consequently a successful marketing strategy has an important benefit of establishing long-term social presence for your business.

We also offer free end user services. Knowing consumer intent gives us capability to identify in real-time social users in need of travel help. Our data is actionable, allowing to respond momentarily to individuals with timely recommendations and advice.

Knowing consumer intent in real-time gives business power to control the sales process. Your customer satisfaction will improve, and your sales will grow significantly.

And if you are not ready to start using our full service, you can always send us a short description of your business, its value, and how it is better from competition. We will be happy to connect consumers with your product when appropriate. No commitment on your part is required.

Intent-driven data offers instant value, start enjoying it.

Interested in reading more? Check out our other blogs:

Scalable Yet Personalized

How to offer businesses and organizations a solution that personalizes and scales consumer interaction process at the same time?

Personalizing the user relationship process. Today end users and consumers demand to be targeted individually and to be approached based on their actual interests. nmodes AI (Artificial Intelligence) powered solution helps organizations accurately identify user needs in real time. Our solution delivers information on each user individually thus providing the necessary level of personalization required of the successful customer service.

Scaling the user relationship process: Once the organization identifies a user and a problem that needs to be addressed, next step is reaching out to that user individually. Currently this is a manual non-scalable procedure. nmodes AI (Artificial Intelligence) solution provides automated assistance to human personnel, including substitution when deemed appropriate, thus making the entire process scalable.

Today more than 90% of all organizations and businesses rely on solutions based on keywords, even though these solutions provide low quality results not sufficient for the new generation of personalized scalable services.

nmodes solution enables sustainable delivery of high quality results, with x5 costs reduction and up to 45% increase in conversation (engagement) capacity.

Intent-driven Data Critical for Sales Growth

One of the most central causes of missed growth opportunities and overspending is a failure on the part of businesses to create strategies that are tailored to the intent of the consumer. Recognizing and harnessing visitor intent brings increased engagement with relevant messages and calls to action.

Once a business identifies purchase intenders it can create content that aligns with their needs and desires in order to increase the likelihood of conversion. Consequently it can pick up on pre-sale signals from visitors in the research phase and drive lead-nurturing initiatives accordingly. The ability to identify this spectrum of visitor intent is key to creating relevant engagement campaigns that drive sales.

nmodes has been at the forefront of delivering consumer intent to businesses.

We sort the intents based on conversation topics, called ‘streams’.

Here is a stream of people looking for a hotel:

A stream of people who are getting married:

A stream of people thinking of going on a cruise: