PredictHQ's Intelligent Event Data | Spending Data at Events | Seoul, South Korea | April 2023 - March 2024 product image in hero

PredictHQ's Intelligent Event Data | Spending Data at Events | Seoul, South Korea | April 2023 - March 2024

PredictHQ
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id
duplicate_of_id
parent_event_id
title
description
category
labels
start
end
predicted_end
timezone
duration
country
lat
lon
scope
place_hierarchies
venue_id
venue_name
venue_formatted_address
rank
local_rank
phq_attendance
predicted_event_spend_total
predicted_event_spend_accommodation
predicted_event_spend_hospitality
predicted_event_spend_transportation
impact_patterns
first_seen
updated
state
cancelled
postponed
deleted_reason
brand_safe
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Sign In To Preview Data
Volume
1.2K
records
Avail. Formats
.json and .csv
File
Coverage
109
Countries
History
12
months

Data Dictionary

[Sample] PredictHQ-SpendingData-Events-Seoul-Apr2023-Mar2024.csv
Attribute Type Example Mapping
id
String CbZivufnk82DFtVFVw
duplicate_of_id
parent_event_id
title
String IFS-International Franchise Show
description
String The IFS-International Franchise Show is a dynamic expo ev...
category
String expos
labels
String business,conference,expo
start
DateTime 2023-03-29T15:00:00+00:00
end
DateTime 2023-04-01T14:59:59+00:00
predicted_end
timezone
String Asia/Seoul
duration
Integer 259199
country
String KR
lat
Float 37.5116828
lon
Float 127.059151
String @6nk-zpq-9xq Placekey
scope
String locality
place_hierarchies
String 6295630>6255147>1835841>1835847>6800161,6295630>6255147>1...
venue_id
venue_name
venue_formatted_address
rank
Integer 78
local_rank
Integer 84
phq_attendance
Integer 25000
predicted_event_spend_total
Integer 3411537
predicted_event_spend_accommodation
Integer 1205930
predicted_event_spend_hospitality
Integer 1998364
predicted_event_spend_transportation
Integer 207243
impact_patterns
String [{"vertical": "accommodation", "impact_type": "phq_attend...
first_seen
DateTime 2022-01-04T04:19:39+00:00
updated
DateTime 2024-03-31T03:29:45+00:00
state
String active
cancelled
postponed
deleted_reason
brand_safe
Product Attributes
Attribute Type Example Mapping
Text Munich Gay Pride Latitude-Longitude
Description
CSD München
Start
DateTime 2022-07-01T22:00:00Z
End
DateTime 2022-07-17T21:59:59Z
Venue Name
Text Olympiapark München
PHQ rank
Integer 96
Local rank
Integer 100

Description

Free sample dataset of predicted event spend at events (sports, festivals, expos, conferences, concerts, performing arts, and community) in Seoul, South Korea drawn from verified event data, anonymised customer data, and location data to pinpoint the impact of nearby events for businesses.
Predicted event spend draws on: 1) verified and intelligent event data, 2) predicted attendance models which factor in venue, performers, historical attendance, and more to identify an accurate estimate of the event size, 3) anonymised customer impact data from our data lake that span across a wide range of businesses, 4) location specific information such as standard room rates and restaurant prices for thousands of locations, and 5) event categorization models which identify the category, type, and relevant labels to define events. PredictHQ created this tool because our customers requested it, but its application will vary significantly based on which industry, and which team, is using it. For example: 1) QSRs can use it to compare apples to apples i.e. the restaurant spend depending on the different kinds of events near the same store, 2) Accommodation businesses can use it to communicate to their hotel managers as to why the pricing recommendations have been increased or decreased, as well as to set appealing minimum stay discounts or similar packaging updates, 3) Event-based marketing or out-of-home marketing groups can use it to quickly describe the impact of an event for particular segments considering where to place their ads, and 4) Smaller businesses that don’t have the team capacity to use event data extensively in planning can use it as a shorthand for how impactful an event will be, and roster more staff or stock up on inventory accordingly. Predicted Event Spend demonstrates how individual or groupings of events drive massive spending on behalf of visitors and is a reflection of the total amount of additional spending within a defined area as a result of a specific event. Location: Seoul, South Korea Visibility Window: 1-Year Historical Categories: Sports, Festivals, Expos, Conferences, Concerts, Performing Arts, and Community. Fields Included: - Title - Category - Labels - Description - Start date and time - End date and time - Predicted end time - Country - Lat / Lon - Venue Name - Venue Address - Rank (PHQ Rank, Local Rank) - PHQ Attendance - Event status - Place Hierarchy - Created/updated timestamps - Predicted event spend total - Predicted event spend accommodation - Predicted event spend hospitality - Predicted event spend transportation Polygon information: PredictHQ's polygons enable you to see the full area impacted by an event represented as a shape, because many types of events don't occur neatly at a point on a map. That means you will get a much more accurate picture of impact. Data samples including polygons are available upon request. Data quality: PredictHQ's data quality is one of its key strengths: 1) We have developed a set of Quality Standards for Processing Demand Causal Factors (QSPD), which are used to define the criteria for high-quality event data. By following these standards, PredictHQ ensures that their data meets the highest levels of quality. 2) We use more than 450 data sources to collect event data, including public records, social media, and ticketing websites. 3) We have built thousands of machine learning models that standardize, verify, enrich, and rank every single event. 4) On average we process 28 million events and 422,000 entities every day 5) We track the quality of our data over time and make improvements as needed. About PredictHQ: PredictHQ is the world’s first and only company that provides the missing context for the biggest external factor that impacts businesses demand – events. PredictHQ’s intelligent data of verified global events enables businesses to forecast shifts in demand from events to be able to adjust their inventory, make changes to labor, dynamically price and operate more efficiently. Think conferences, sports games, college graduations, floods, and more. PredictHQ brings all events into one place, combines it with world-first tools and intelligence to allow organizations to better predict and respond to changing customer demand created by events in an easy, reliable, and scalable way. We meet customers exactly where they are, ensuring they can access our data the way that suits them best. Learn more about PredictHQ's real-world event data by visiting our Developer and Data Science Documentation: https://docs.predicthq.com/ Keywords: attended events, attendance, sports, festivals, expos, conferences, concerts, performing arts, community, polygon, consumer spending, predicted spend, location information, demand intelligence, financial data, venue location, accommodation, transportation, restaurant, demand intelligence, event intelligence, event categorisation, business insights, event tracking, historical event data, even impact analysis, event-driven decisions, predictive analytics, hospitality, travel, tourism, aviation, flight, ride-sharing, transportation, mobility, spending data, money, financial

Country Coverage

Africa (6)
Egypt
Kenya
Morocco
Nigeria
Tunisia
Zimbabwe
Asia (27)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
China
Cyprus
Hong Kong
India
Indonesia
Israel
Japan
Kazakhstan
Korea (Republic of)
Lebanon
Malaysia
Oman
Pakistan
Philippines
Qatar
Saudi Arabia
Singapore
Taiwan
Thailand
Turkey
United Arab Emirates
Vietnam
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (3)
Australia
New Zealand
Papua New Guinea
Other (1)
United States Minor Outlying Islands
South America (8)
Argentina
Brazil
Chile
Colombia
Ecuador
Paraguay
Peru
Puerto Rico

History

12 months of historical data

Volume

1,200 records

Pricing

Free sample available
PredictHQ has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
UI Export
REST API
Frequency
hourly
daily
weekly
real-time
on-demand
Format
.json
.csv

Use Cases

Demand Forecasting
Delivery Optimization
Workforce Optimization
Event Visibility
Dynamic Pricing

Categories

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Frequently asked questions

What is PredictHQ’s Intelligent Event Data Spending Data at Events Seoul, South Korea April 2023 - March 2024?

Free sample dataset of predicted event spend at events (sports, festivals, expos, conferences, concerts, performing arts, and community) in Seoul, South Korea drawn from verified event data, anonymised customer data, and location data to pinpoint the impact of nearby events for businesses.

What is PredictHQ’s Intelligent Event Data Spending Data at Events Seoul, South Korea April 2023 - March 2024 used for?

This product has 5 key use cases. PredictHQ recommends using the data for Demand Forecasting, Delivery Optimization, Workforce Optimization, Event Visibility, and Dynamic Pricing. Global businesses and organizations buy Location Data from PredictHQ to fuel their analytics and enrichment.

Who can use PredictHQ’s Intelligent Event Data Spending Data at Events Seoul, South Korea April 2023 - March 2024?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Location Data. Get in touch with PredictHQ to see what their data can do for your business and find out which integrations they provide.

How far back does the data in PredictHQ’s Intelligent Event Data Spending Data at Events Seoul, South Korea April 2023 - March 2024 go?

This product has 12 months of historical coverage. It can be delivered on a hourly, daily, weekly, real-time, and on-demand basis.

Which countries does PredictHQ’s Intelligent Event Data Spending Data at Events Seoul, South Korea April 2023 - March 2024 cover?

This product includes data covering 109 countries like USA, China, Japan, Germany, and India. PredictHQ is headquartered in United States of America.

How much does PredictHQ’s Intelligent Event Data Spending Data at Events Seoul, South Korea April 2023 - March 2024 cost?

Pricing information for PredictHQ’s Intelligent Event Data Spending Data at Events Seoul, South Korea April 2023 - March 2024 is available by getting in contact with PredictHQ. Connect with PredictHQ to get a quote and arrange custom pricing models based on your data requirements.

How can I get PredictHQ’s Intelligent Event Data Spending Data at Events Seoul, South Korea April 2023 - March 2024?

Businesses can buy Location Data from PredictHQ and get the data via S3 Bucket, UI Export, and REST API. Depending on your data requirements and subscription budget, PredictHQ can deliver this product in .json and .csv format.

What is the data quality of PredictHQ’s Intelligent Event Data Spending Data at Events Seoul, South Korea April 2023 - March 2024?

You can compare and assess the data quality of PredictHQ using Datarade’s data marketplace. PredictHQ appears on selected Datarade top lists ranking the best data providers, including June Provider Spotlight.

What are similar products to PredictHQ’s Intelligent Event Data Spending Data at Events Seoul, South Korea April 2023 - March 2024?

This product has 3 related products. These alternatives include PredictHQ’s Intelligent Event Data Attended Events Munich April 2023 - March 2024, The Data Appeal Global Business Location Data 200 Million+ POI Data Mapped Coverage from 2019 API, Dataset, and Global Bar & Restaurant Data Points of Interest (POI). You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

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