AXS Events Dataset (Sample Data)
Provided By: Datamam
AXS Events Dataset (Sample Data)
Provided By: Datamam
The dataset provides comprehensive information on axs.com events across the United States and Canada encompassing all categories. The data has been extracted from the axs.com's website, cleaned, and normalized by Datamam. The dataset includes detailed information on event types, locations, dates, and categories, offering a broad overview of the cultural, musical, sports, and other events.
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Payment schedule: Upfront payment | Offer auto-renewal: Supported
$0 for 12 months
Overview
Overview
This dataset presents an exhaustive collection of data points on Global Marketplace events spanning across the United States and Canada. The information has been meticulously extracted from the prominent event management and ticketing website, axs.com. This effort has been undertaken by Datamam, a leading provider of data management and cleaning services, to ensure accuracy, relevance, and consistency in the dataset.
The dataset offers an all-encompassing view of a multitude of event categories. This includes but is not limited to cultural festivals, musical concerts, sports tournaments, professional conferences, and many other public events of significance. Each event entry in the dataset is categorized by type, allowing for targeted data analysis based on specific event categories.
The sample dataset serves as a representative snapshot of the kind of comprehensive data that can be routinely harvested and curated.
Use Cases
Event Trend Analysis: Media companies, marketing agencies, and event organizers can leverage this dataset to identify trends in various types of events. By analyzing data on event types, locations, and categories, they can gain insights into popular genres, preferred event locations, and seasonal event patterns. This information can be used to forecast future trends, inform event planning decisions, and shape marketing strategies.
City Tourism Planning: City planning and tourism departments can use this data to examine the role of events in attracting tourists and supporting local economic development. By exploring data on event dates, types, and locations, they can assess how events are distributed across the city, the peak event seasons, and the types of events that draw large crowds. This information can guide tourism promotion efforts, city planning, and development of cultural initiatives.
Sponsorship Decision-Making: Companies and brands looking to sponsor events can utilize this dataset to make informed decisions. By evaluating information on event types, locations, and dates, they can identify events that align with their brand image, target audience, and marketing goals. This data can assist in identifying high-potential sponsorship opportunities and in developing effective sponsorship strategies.
Market Feasibility Studies for New Events: Event planners, promoters, and investors can utilize this dataset to assess the feasibility of new events. By analyzing data on similar event types, locations, and categories, they can evaluate market demand, anticipate potential competition, and estimate profitability. This data can support feasibility studies, business planning, and investment decision-making for new event initiatives.
Consumer Behavior Analysis: Researchers and marketers interested in consumer behavior can utilize this dataset to study consumer preferences and habits related to event attendance. By examining data on event types, locations, and categories, they can explore topics such as the influence of event type on attendance, geographic preferences for events, and seasonal patterns in event participation. This data can contribute to consumer behavior studies, marketing strategy development, and customer segmentation efforts.
Metadata
Instructions: Provide metadata of your data using a table. Examples include but are not limited to:
Description | Value |
---|---|
Update frequency | Hourly / Daily |
Geographic coverage | US, CA, Worldwide |
Data Format(s) | Versatile data formats available including CSV, JSON, XML, and others on request |
Update time | August 2023 |
Update Type (Incremental updates vs. Full refresh) | Primarily Full refresh, with the possibility of incremental updates based on specific requirements |
Data Source(s) | Primarily sourced from a leading Ticketing Website, supplemented with details from event organizer websites when available |
Data Rows | Varying up to 250,000 rows |
Data Structure | Flexible |
Delivery Method | S3, API, FTP, Other |
Data Validity and Accuracy | Data is cleaned, validated and normalized by expert data analysts to ensure high accuracy |
Data Variables | Includes event types, locations, dates, categories, venues, performers or teams involved, target audience, etc. |
Support | Ongoing technical and operational support for data handling and usage |
Data Security | Adherence to strict data security protocols to ensure data privacy and integrity. |
Key Data Points
Key data points include: • event_url • event_id • event_category • event_subcategory • title • datetime_utc • datetime_local • name • address • city • state • country • postal_code • formatted_address
Need Help?
Our team is here to support you in accessing and analyzing data to optimize your business strategies. We'll guide you through the integration process, ensuring you make the most of the available data resources to uncover valuable insights and drive data-driven decision-making across your organization.
Email us at info@datamam.com.
About Datamam
Datamam works with executives from companies all around the globe who need to extract, organize and analyze data more effectively and at scale. Our clients have many needs: sourcing competitive pricing, auditing merchants’ directories, and monitoring consumer sentiment.
They want this data to determine the weaknesses and strengths of products, brands, and services. These insights significantly impact business performance, as they’re used to adjust pricing, improve processes, and help with strategic decision-making.
Datamam provides web scraping services to research, extract, and analyze time-sensitive data. Unlike labor-intensive manual searches, Datamam’s custom software and applications save clients time and let them understand the competitive environment at scale.
Provided By
Fulfillment Method
AWS Data Exchange
Data sets (1)
You will receive access to the following data sets
Revision access rules
All historical revisions | All future revisions
Name | Type | Data dictionary | AWS Region |
---|---|---|---|
AXS Events Dataset (Sample Data) | Not included | EU (Frankfurt) |
Usage information
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