Frequently Asked Questions

We collect the data from main international OTAs, such as Booking.com.

D/AI Destinations does not include direct bookings, which make up approximately 20% of hotels’ total bookings. We collect the data from main international OTAs, so D/AI Destinations still gives a comprehensive and accurate representation of overall trends in hotel bookings and arrivals.

Unfortunately, low cost companies do not share their data. However, thanks to our exclusive partnership with Travelport, D/AI Destinations features all the data related to the main international airlines, such as ITA, British, Lufthansa, etc…

Data is updated daily and shared with our clients a week later as per company procedure.

We have 100% updated and reliable historical data for all mapped POIs and territories as of January 2019.

D/AI Destinations collects only data available on online maps. It includes data from six main industries: F&B, hospitality, attractions, short-term rentals, transportation and entertainment. However, there are plenty of other categories available according to your needs, such as: banking, insurance, agriculture, education, government, healthcare, etc.

Your platform can include from a minimum of 3 up to as many as you would like, upon request.

D/AI Destinations should be used as a tool for sharing information with internal and external partners and stakeholders. Therefore, most of the graphs can be downloaded in JPG and PNG image formats or as a CSV file.

Yes, you can answer all the text reviews directly from Travel Appeal. The possibility to respond to reviews depends on individual channel policies: if a channel does not allow users to respond, it will not be possible to do so via Travel Appeal either.

The single dashboard analyzes the performance of a single property, while the aggregate dashboard compares all facilities in the group and allows you to identify which facilities are performing better and which are declining, as well as create aggregate or facility subset specific (TAG) analyzes.

Yes: enter the collaborator’s email address in the settings – collaborators section and assign a role (administrator/collaborator). The new user will receive an email notification for the first login. With PRO subscription you will be able to add 5 contributors, with PREMIUM subscription up to 10. It is also possible to purchase extra contributor add-on packages.
Administrators have full powers and can work in all sections of the platform, as well as modify basic settings. Collaborators have access only to the information part: therefore, they are not able to add, delete or change the role of other users, nor create single facility reports.

Yes. Enter the name of the competing property you want to monitor in the settings – competitor section. Please choose carefully, you won’t be able to replace or delete it for 6 months.

Sure! From the drop-down menu at the top right, section my account – notifications settings. Within Travel Appeal you will be notified with a notification every time you receive a new post or review. You will be able to manage the frequency and type of information you want to receive.

The Travel Appeal Index Widget certifies the quality of your property based on an analysis of all online opinions, showing the score of each single aspect of your property: the quality of the rooms, services, location, food, hospitality, cleanliness and rates. The score takes into consideration the positive sentiment expressed by your customers on all review channels and social media.
You can easily integrate it into your website to highlight your reputation to prospects and increase direct bookings.

The TAI Score is a comprehensive aggregate indicator that shows the digital appeal of your property. This index takes into account all online content related to the property, as well as your proactivity in managing every individual channel.

Yes, you can create all the reports you need directly from your dashboard. Choose one of the standard reports available or customize your own, in just minutes, for each department. Download it (PDF or Excel), share it and schedule it. Keep everything under control.

We can provide simple POIs data featuring quantitative information such as address, GPS coordinates, social channels, etc, but we also provide a unique combination of geolocalized data enriched with Sentiment and Footfall data for each single POI and territory.

Yes, all our data is GDPR compliant.

We are one of the few companies in the world with global POI coverage, covering 180 countries and territories. We have currently mapped more than 251mln Points of interest.

We count more than 251 Million Points of Interest worldwide, grouped by 20 industries and 500+ categories. Find out all the details in our Categories’ Dictionary.

All data is available via:

• Data Pack (.csv/.xls file)
• API
• Report
• Data Appeal Studio, our all-in-one territory analysis platform
• Customized Visualization Platform

Yes, up to 3 – 5 years

Our data packages are interpreted natively by GIS systems such as Esri, QGIS, Carto and more. You can use any of these tools to visualize the data correctly, or we can provide a visualization tool if you prefer.

The granularity of the Location data is defined by a geospatial standard created by Microsoft and open sourced, called Bing tiles. You can find the documentation here – typically we deliver the data at tile 15 granularity, which means it’s about 1000×1000 meters size but we could reach 250×250 with no extra costs.

Reviews are extracted for each individual POI, so you can join the POI_ID from the main listing to the POI_ID contained in the fragments dataset. The networks are listed here.

The Sentiment Score is a proprietary index developed by The Data Appeal Company designed to collect, analyze, and normalize scores and content related to the online reputation of businesses and brands.
It gives you a clear view of the online reputation and people’s perception of territories, brands, and individual businesses.
Thanks to our semantic analysis, it can also analyze the level of satisfaction related to topics and subtopics, in order to identify both highly appreciated aspects and critical issues.

The algorithm is based on a machine learning model in the field of Natural Language Processing (NLP) that analyzes online conversations and provides a positive, negative, and neutral score for any text.

In real time, the index analyzes all content posted by users on over 130 online sources, normalizes scores and produces a synthetic index from 0 to 100. The higher the Sentiment, the more positive the experience.

The Popularity Index can support you in detecting the volume of people visiting a business, a specific place or area. It reflects the popularity and potentiality of businesses and urban areas, and can be useful in a variety of industries. The index also measures the peak times of every location.

We have proprietary algorithms and AI methodology collecting data from more than 130 sources, such as online content and reviews, GPS signals, etc.
This index is calculated by analyzing various factors such as the number of geographically-located reviews and social media content.

For instance, a retail shop with a score of 90 in Paris has roughly double the estimated attendance of a retail shop in New York with a score of 45.

According to the Popularity Index range, you can understand the level of attendance of every single POI.

01 – 10: Very poor attendance
10 – 20: Poor attendance
21 – 40: Light attendance, mostly concentrated in certain time slots
41 – 60: Average attendance, distribution with significant peaks
61 – 80: Good attendance, even distribution
81 – 100: Strong attendance
101 -120: Very strong attendance
> 120: Extraordinarily high with consistent overflow

We collect Sentiment reviews and comments from more than 130 online platforms, while Google only features its own. We provide a comprehensive overview of each POIs, brand or territory, and consistent indicators representing online reputation.

Sentiment and Popularity data helps you refine business profiling and credit risk assessment to allocate financing and reduce default risk.

Our data are used-as long as they are anonymous-to determine a score of the area/area/neighborhood where the customer is located based on the address provided during the KYC process. This “environmental” score contributes to the definition of a super score of riskiness of the individual entering the bank’s master system.

We use public data and other specific agreement data sources.
We collect, aggregate and process data with our own algorithms to return reliable information

Yes, we have financial data available, but it is not integrated into our data sets. However, upon request, we are able to provide them to support our alternative data.

Our algorithms involve a data cleaning process to avoid processing invalid information.

The process of evaluating content published on various digital channels is managed by special machine learning algorithms that normalize different measurement scales. All results are then aggregated and recalculated on a single scale from 0 to 100.