PredictHQ's Intelligent Event Data | Spending Data at Events | Seoul, South Korea | April 2023 - March 2024
# | 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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10 | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx |
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Data Dictionary
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
|
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
Country Coverage
History
Volume
1,200 | records |
Pricing
Suitable Company Sizes
Delivery
Use Cases
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.