SocialSift: Travel Intent Data | US Hotel Brand Visit Data | 100+ Mobile Devices Accurately Pinpoint Weekly Visit Data | Historical Data Past 59 Weeks
# | POI Count |
Segment Group |
Segment Name |
Median Age |
Segment Description |
Week Beginning Date |
Total Visits |
Total Visits by Segment |
||
---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx |
2 | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
3 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
4 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
5 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx |
6 | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
7 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
8 | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
9 | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
10 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
... | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Budget Hotels | POI Sub-category | |
String | America's Best Value Inn & Suites | Brand Name | |
POI Count
|
Integer | 312 | |
Segment Group
|
String | Family | |
Segment Name
|
String | A - Ultra Wealthy Families | |
Median Age
|
Integer | 42 | |
Segment Description
|
String | The nation's wealthiest families. | |
Week Beginning Date
|
Integer | 45144 | |
Total Visits
|
Integer | 2709 | |
Total Visits by Segment
|
Integer | 68 |
Description
Country Coverage
History
Volume
80 | Consumer Segments |
85 | Hotel Brands |
Pricing
License | Starts at |
---|---|
One-off purchase |
$700 / purchase |
Monthly License |
$500 / month |
Yearly License |
$6,000 / year |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is SocialSift: Travel Intent Data US Hotel Brand Visit Data 100+ Mobile Devices Accurately Pinpoint Weekly Visit Data Historical Data Past 59 Weeks?
When Hospitality, Travel & Tourism marketers, brand owners & agencies contact the expert team at SocialSift, they will engage with consumer behavior specialists who are as passionate about making a meaningful impact on your business as you are. Our travel intent data is tailored to your needs.
What is SocialSift: Travel Intent Data US Hotel Brand Visit Data 100+ Mobile Devices Accurately Pinpoint Weekly Visit Data Historical Data Past 59 Weeks used for?
This product has 5 key use cases. SocialSift recommends using the data for Marketing, Competitor Insights, Trend Analysis, Consumer Profiling, and Know Your Customer (KYC). Global businesses and organizations buy Point of Interest (POI) Data from SocialSift to fuel their analytics and enrichment.
Who can use SocialSift: Travel Intent Data US Hotel Brand Visit Data 100+ Mobile Devices Accurately Pinpoint Weekly Visit Data Historical Data Past 59 Weeks?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Point of Interest (POI) Data. Get in touch with SocialSift to see what their data can do for your business and find out which integrations they provide.
How far back does the data in SocialSift: Travel Intent Data US Hotel Brand Visit Data 100+ Mobile Devices Accurately Pinpoint Weekly Visit Data Historical Data Past 59 Weeks go?
This product has 59 weeks of historical coverage. It can be delivered on a monthly and on-demand basis.
Which countries does SocialSift: Travel Intent Data US Hotel Brand Visit Data 100+ Mobile Devices Accurately Pinpoint Weekly Visit Data Historical Data Past 59 Weeks cover?
This product includes data covering 1 country like USA. SocialSift is headquartered in United States of America.
How much does SocialSift: Travel Intent Data US Hotel Brand Visit Data 100+ Mobile Devices Accurately Pinpoint Weekly Visit Data Historical Data Past 59 Weeks cost?
Pricing for SocialSift: Travel Intent Data US Hotel Brand Visit Data 100+ Mobile Devices Accurately Pinpoint Weekly Visit Data Historical Data Past 59 Weeks starts at USD500 per month. Connect with SocialSift to get a quote and arrange custom pricing models based on your data requirements.
How can I get SocialSift: Travel Intent Data US Hotel Brand Visit Data 100+ Mobile Devices Accurately Pinpoint Weekly Visit Data Historical Data Past 59 Weeks?
Businesses can buy Point of Interest (POI) Data from SocialSift and get the data via Email and UI Export. Depending on your data requirements and subscription budget, SocialSift can deliver this product in .csv, .xls, and .txt format.
What is the data quality of SocialSift: Travel Intent Data US Hotel Brand Visit Data 100+ Mobile Devices Accurately Pinpoint Weekly Visit Data Historical Data Past 59 Weeks?
You can compare and assess the data quality of SocialSift using Datarade’s data marketplace.
What are similar products to SocialSift: Travel Intent Data US Hotel Brand Visit Data 100+ Mobile Devices Accurately Pinpoint Weekly Visit Data Historical Data Past 59 Weeks?
This product has 3 related products. These alternatives include Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets, SocialSift: Consumer Behavior Data Hospitality, Travel & Tourism Data US Hotel Brand Visit Data Past 59 Weeks Refreshed Monthly 85 Hotel Brands, and Echo Analytics Market Analysis Visit Data US Available Globally GDPR-Compliant. You can compare the best Point of Interest (POI) Data providers and products via Datarade’s data marketplace and get the right data for your use case.