Swash User Search and Consumer Journey Data - 1.5M Worldwide Users - GDPR Compliant
# | search_id |
result_id |
income |
useragent |
osname |
search_property |
search_category |
query |
result_type |
result_url |
result_html_title |
result_page_num |
result_rank |
result_clicked_ts |
timestamp |
||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
2 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
3 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
4 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
5 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx |
6 | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
7 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx |
8 | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
9 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx |
10 | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx |
... | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
search_id
|
String | ab01fff3-94d6-4993-8ead-d338803148eb | |
result_id
|
String | 387cf29a06519eeee1ecb5642e900c79 | |
String | dfc3353807b27ef3c25b54e8982efd0bdbc5d443296f73b0edbedff7e... | UID | |
String | Philippines | Country Name | |
String | Batangas | City Name | |
String | en-US | Language Name | |
String | Contact Age | ||
String | Contact Gender | ||
income
|
String | 12-25K | |
useragent
|
String | Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537... | |
osname
|
String | win | |
search_property
|
String | ||
search_category
|
String | ||
query
|
String | ||
result_type
|
String | Content | |
result_url
|
String | https://support.google.com/mail/answer/8494?hl=en&co=GENI... | |
result_html_title
|
String | Sign in to Gmail - Computer | |
result_page_num
|
Integer | 1 | |
result_rank
|
Integer | 5 | |
result_clicked_ts
|
Integer | 0 | |
timestamp
|
Timestamp | 1689033628144 |
Attribute | Type | Example | Mapping |
---|---|---|---|
search_id
|
String | 00001551-e258-4884-8872-8fad7c829d55 | |
result_id
|
String | 074f8cd1273de26f2f21f0fd236803d9 | |
String | f54690634e66f04e22d932b2111e2a9a1df0911c7331cc680587217ec... | UID | |
String | Germany | Country Name | |
String | Johannesburg | City Name | |
String | en-us | Language Name | |
String | Contact Age | ||
String | Contact Gender | ||
Income
|
String | 50k-75k | |
Agent
|
String | Mozilla Firefox 80.0.1 | |
OS Name
|
String | win | |
search_property
|
String | bing | |
search_category
|
String | ALL | |
query
|
String | Sarah Hughes running for Congress | |
result_type
|
String | Content | |
result_url
|
String | https://www.aol.com/sports/olympic-gold-medal-figure-skat... | |
result_html_title
|
String | Olympic gold-medal figure skater Sarah Hughes is running ... | |
result_page_num
|
Integer | 0 | |
result_rank
|
Integer | 5 | |
result_clicked_ts
|
Timestamp | 1647540000000 | |
timestamp
|
Timestamp | 1647540000000 |
Description
Country Coverage
History
Volume
1.5 million | Users |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Swash User Search and Consumer Journey Data - 1.5M Worldwide Users - GDPR Compliant?
The search query, search/ads result, clicked search/ads result of top search engines and the relevant next pages and potential purchase activity.
What is Swash User Search and Consumer Journey Data - 1.5M Worldwide Users - GDPR Compliant used for?
This product has 5 key use cases. Swash recommends using the data for Search Engine Optimization (SEO), Audience Analytics, Consumer Trend Analysis, Consumer Intelligence, and Sales Intelligence. Global businesses and organizations buy Consumer Behavior Data from Swash to fuel their analytics and enrichment.
Who can use Swash User Search and Consumer Journey Data - 1.5M Worldwide Users - GDPR Compliant?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Behavior Data. Get in touch with Swash to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Swash User Search and Consumer Journey Data - 1.5M Worldwide Users - GDPR Compliant go?
This product has 2 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, and on-demand basis.
Which countries does Swash User Search and Consumer Journey Data - 1.5M Worldwide Users - GDPR Compliant cover?
This product includes data covering 182 countries like USA, China, Japan, Germany, and India. Swash is headquartered in United Kingdom.
How much does Swash User Search and Consumer Journey Data - 1.5M Worldwide Users - GDPR Compliant cost?
Pricing information for Swash User Search and Consumer Journey Data - 1.5M Worldwide Users - GDPR Compliant is available by getting in contact with Swash. Connect with Swash to get a quote and arrange custom pricing models based on your data requirements.
How can I get Swash User Search and Consumer Journey Data - 1.5M Worldwide Users - GDPR Compliant?
Businesses can buy Consumer Behavior Data from Swash and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Swash can deliver this product in .csv and .xls format.
What is the data quality of Swash User Search and Consumer Journey Data - 1.5M Worldwide Users - GDPR Compliant?
Swash has reported that this product has the following quality and accuracy assurances: 100% Accuracy, 100% Timeliness, 90% Completeness. You can compare and assess the data quality of Swash using Datarade’s data marketplace.
What are similar products to Swash User Search and Consumer Journey Data - 1.5M Worldwide Users - GDPR Compliant?
This product has 3 related products. These alternatives include Serpstat: Search Trends Data Trending keywords across 231 countries, 1415 cities Real time updated Trend’s length and wideness, Success.ai Web Search Data – Real-Time Insights, Trends & Purchase Intent Data – Best Price Guarantee, and The Data Appeal Global Location Data Insights, Consumer Sentiment Data, Map Data, Sentiment API, Dataset 251M POI Data Coverage from 2019. You can compare the best Consumer Behavior Data providers and products via Datarade’s data marketplace and get the right data for your use case.