poi_id | type | value | date_last_checked |
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Attribute | Type | Example |
---|---|---|
poi_id | String | 0008ff33c71bcdeb511ea36010cd2b8b7d11e9a6 |
type | String | service_available |
value | String | wheelchair_accessible |
date_last_checked | DateTime | 2023-09-13T00:00:00+00:00 |
poi_id | name | street_address | latitude | longitude | industry | category | date_refreshed | country | state | county | city | stars | rooms | price_class | sentiment | popularity | hours_popular | main_clusters | most_discussed_topics | spoken_languages | traveler_origin | traveler_type | phone | website | date_first_presence | date_closed |
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Attribute | Type | Example |
---|---|---|
poi_id | String | 73ed3ed0443478417464302156adc0dd355420b5 |
name | String | 'T Hotel |
street_address | String | Leliegracht 18 Amsterdam |
latitude | Float | 52.375161 |
longitude | Float | 4.887147 |
industry | String | Hospitality |
category | String | Hotel |
date_refreshed | DateTime | 2023-09-15T00:00:00+00:00 |
country | String | netherlands |
state | String | noord-holland |
county | String | amsterdam |
city | String | amsterdam |
stars | Integer | 3 |
rooms | Integer | 8 |
price_class | Integer | 2 |
sentiment | Float | 90.43 |
popularity | Float | 75.53 |
hours_popular | ||
main_clusters | String | [{"cluster": "Atmosphere","sentiment": 84.22},{"cluster": "Cleanliness","sentiment": 100.00},{"cluster": "Costs","sentiment": 35.71},{"cluster": "Food","sentiment": 95.40},{"cluster": "Hotel Staff"... |
most_discussed_topics | String | [{"topic": "staff","sentiment": 98.91},{"topic": "room","sentiment": 87.90},{"topic": "breakfast","sentiment": 95.41},{"topic": "stair","sentiment": 9.52},{"topic": "everything","sentiment": 89.66}] |
spoken_languages | String | [{"language": "en","sentiment": 91.70,"percentage": 63.07},{"language": "fr","sentiment": 89.60,"percentage": 9.95},{"language": "nl","sentiment": 93.08,"percentage": 7.88},{"language": "de","senti... |
traveler_origin | String | [{"country": "gb","sentiment": 92.85,"percentage": 16.93},{"country": "us","sentiment": 89.28,"percentage": 15.63},{"country": "fr","sentiment": 90.21,"percentage": 8.46},{"country": "be","sentimen... |
traveler_type | String | [{"type": "couple","sentiment": 89.64,"percentage": 50.02},{"type": "family","sentiment": 90.68,"percentage": 32.16},{"type": "groups","sentiment": 91.22,"percentage": 13.37},{"type": "solo","senti... |
phone | String | +31 20 422 2741 |
website | String | http://www.thotel.nl/ |
date_first_presence | DateTime | 2016-01-03T00:00:00+00:00 |
date_closed |
poi_id | day_of_week | period_time | open_time | close_time | date_last_checked |
---|---|---|---|---|---|
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | x | x | xxxxx | xxxxxxxxxx | |
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Attribute | Type | Example |
---|---|---|
poi_id | String | 001ff99f2bb87a80d5dca683af086f9c3109c661 |
day_of_week | Integer | 0 |
period_time | Integer | 1 |
open_time | String | 17:45 |
close_time | ||
date_last_checked | DateTime | 2023-09-12T00:00:00+00:00 |
poi_id | date | period | time_period | popularity |
---|---|---|---|---|
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Attribute | Type | Example |
---|---|---|
poi_id | String | 001ff99f2bb87a80d5dca683af086f9c3109c661 |
date | DateTime | 2021-09-01T00:00:00+00:00 |
period | String | weekend |
time_period | String | (15-18) Late Afternoon |
popularity | Float | 14.61 |
poi_id | date | popularity |
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Attribute | Type | Example |
---|---|---|
poi_id | String | 001ff99f2bb87a80d5dca683af086f9c3109c661 |
date | DateTime | 2021-09-01T00:00:00+00:00 |
popularity | Float | 53.65 |
poi_id | date | reviews | sentiment |
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xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | x | xxxxx |
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxxxxxxx | x | xx |
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Attribute | Type | Example |
---|---|---|
poi_id | String | 001ff99f2bb87a80d5dca683af086f9c3109c661 |
date | DateTime | 2021-09-01T00:00:00+00:00 |
reviews | Integer | 6 |
sentiment | Float | 87.92 |
Description
Cutting-Edge Marketing Data Fusion: Our Marketing Data is enriched by Brand Sentiment Data and Popularity Data (a footfall proxy) for every Point of Interest (POI) and territory, spanning 180 countries. Versatile Applications: Our B2B Marketing Data is applicable to many sectors and can answer questions such as where to open the next shop, how to position your services, identify the most suitable retailers, outperform the competition, and position new products on the market. Access Insights: Easily access Consumer Sentiment Data and Popularity scores, empowering you to pinpoint high-potential places and businesses. Fresh & Reliable: We specialize in delivering up-to-date and reliable information for every POI. Historical data spanning up to 5 years enables trend analysis. Granularity: Our Geographic Data offers remarkable detail, delivered at tile 14 (about 750x750 meters), with finer granularity options at no extra cost. Comprehensive GDPR-Compliant Marketing Data: Our commitment to data security ensures GDPR compliance. Seamless Visualization: Our user-friendly .csv data packages integrate seamlessly with popular GIS systems like Esri, QGIS, Carto, and more. Trust in 251M+ global POI locations, real-time sentiment analysis, coverage since 2019. Elevate your data experience with our Marketing Data!
Country Coverage
(249 countries)- Algeria
- Angola
- Benin
- Botswana
- Burkina Faso
- Burundi
- Cabo Verde
- Cameroon
- Central African Republic
- Chad
- Comoros
- Congo
- Congo, The Democratic Republic of the
- Côte d'Ivoire
- Djibouti
- Egypt
- Equatorial Guinea
- Eritrea
- Eswatini
- Ethiopia
- French Southern Territories
- Gabon
- Gambia
- Ghana
- Guinea
- Guinea-Bissau
- Kenya
- Lesotho
- Liberia
- Libya
- Madagascar
- Malawi
- Mali
- Mauritania
- Mauritius
- Mayotte
- Morocco
- Mozambique
- Namibia
- Niger
- Nigeria
- Rwanda
- Réunion
- Saint Helena, Ascension and Tristan da Cunha
- Sao Tome and Principe
- Senegal
- Seychelles
- Sierra Leone
- Somalia
- South Africa
- South Sudan
- Sudan
- Tanzania
- Togo
- Tunisia
- Uganda
- Western Sahara
- Zambia
- Zimbabwe
- Antarctica
- Bouvet Island
- Heard Island and McDonald Islands
- South Georgia and the South Sandwich Islands
- Afghanistan
- Armenia
- Azerbaijan
- Bahrain
- Bangladesh
- Bhutan
- British Indian Ocean Territory
- Brunei Darussalam
- Cambodia
- China
- Christmas Island
- Cocos (Keeling) Islands
- Cyprus
- Georgia
- Hong Kong
- India
- Indonesia
- Iran
- Iraq
- Israel
- Japan
- Jordan
- Kazakhstan
- Kuwait
- Kyrgyzstan
- Lao People's Democratic Republic
- Lebanon
- Macao
- Malaysia
- Maldives
- Mongolia
- Myanmar
- Nepal
- North Korea
- Oman
- Pakistan
- Palestine, State of
- Philippines
- Qatar
- Saudi Arabia
- Singapore
- South Korea
- Sri Lanka
- Syrian Arab Republic
- Taiwan
- Tajikistan
- Thailand
- Timor-Leste
- Turkmenistan
- United Arab Emirates
- Uzbekistan
- Vietnam
- Yemen
- American Samoa
- Australia
- Cook Islands
- Fiji
- French Polynesia
- Guam
- Kiribati
- Marshall Islands
- Micronesia, Federated States of
- Nauru
- New Caledonia
- New Zealand
- Niue
- Norfolk Island
- Northern Mariana Islands
- Palau
- Papua New Guinea
- Pitcairn
- Samoa
- Solomon Islands
- Tokelau
- Tonga
- Tuvalu
- United States Minor Outlying Islands
- Vanuatu
- Wallis and Futuna
- Albania
- Andorra
- Austria
- Belarus
- Belgium
- Bosnia and Herzegovina
- Bulgaria
- Croatia
- Czechia
- Denmark
- Estonia
- Faroe Islands
- Finland
- France
- Germany
- Gibraltar
- Greece
- Guernsey
- Holy See (Vatican City State)
- Hungary
- Iceland
- Ireland
- Isle of Man
- Italy
- Jersey
- Latvia
- Liechtenstein
- Lithuania
- Luxembourg
- Malta
- Moldova
- Monaco
- Montenegro
- Netherlands
- North Macedonia
- Norway
- Poland
- Portugal
- Romania
- Russian Federation
- San Marino
- Serbia
- Slovakia
- Slovenia
- Spain
- Svalbard and Jan Mayen
- Sweden
- Switzerland
- Türkiye
- Ukraine
- United Kingdom
- Åland Islands
- Anguilla
- Antigua and Barbuda
- Aruba
- Bahamas
- Barbados
- Belize
- Bermuda
- Bonaire, Sint Eustatius and Saba
- Canada
- Cayman Islands
- Costa Rica
- Cuba
- Curaçao
- Dominica
- Dominican Republic
- El Salvador
- Greenland
- Grenada
- Guadeloupe
- Guatemala
- Haiti
- Honduras
- Jamaica
- Martinique
- Mexico
- Montserrat
- Nicaragua
- Panama
- Puerto Rico
- Saint Barthélemy
- Saint Kitts and Nevis
- Saint Lucia
- Saint Martin (French part)
- Saint Pierre and Miquelon
- Saint Vincent and the Grenadines
- Sint Maarten (Dutch part)
- Trinidad and Tobago
- Turks and Caicos Islands
- United States
- Virgin Islands, British
- Virgin Islands, U.S.
- Argentina
- Bolivia
- Brazil
- Chile
- Colombia
- Ecuador
- Falkland Islands (Malvinas)
- French Guiana
- Guyana
- Paraguay
- Peru
- Suriname
- Uruguay
- Venezuela
Data Categories
- B2B Marketing Data
- Marketing Data
- Geographic Data
- Consumer Sentiment Data
- Brand Sentiment Data
Pricing
One-off purchase |
Available |
Monthly License |
Available |
Yearly License |
Available |
Usage-based |
Available |
Volumes
- Online Sources Monitored
- 137
- Countries Mapped
- 195
- Million Points of Interest Mapped
- 251
- Billion Pieces of Online Content Analyzed Each Day
- 320
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