Monthly store visits data | Visits to JCPenney stores in California in 2022 - Sample
收藏Snowflake2023-02-17 更新2024-05-01 收录
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资源简介:
This is a free sample of our Monthly Store Visits dataset. It contains data on the store visits to JCPenney stores across California throughout 2022.
Tables included:
- Monthly store data JCPenney CA 2022
Fields included:
- store_id
- name
- brand
- month_starting
- month_ending
- total_visits
With our Monthly Store Visits dataset, you can process and analyze the store visits to over 1.2m retail locations across the US. Historical data is available from 2019, and predictive data is available 3 months into the future. Olvin's store visits data helps you analyze the performance of over one million retail stores across the US. Use it to reduce operational waste in retail, analyze competitors on a local, state or national level, or identify localized signals on retail brand performance.
Why Olvin?
At Olvin, we know that bad data leads to bad decisions. That’s why our in-house team of data scientists and machine learning experts have spent 3 years ensuring our data is to the highest standard possible.
- Ground truth validated: Our store visits data is trained and validated against in-store foot traffic counters, enabling a correlation accuracy of up to 91%.
- Largest sample panel: The location data of over 145 million mobile devices are analyzed to power our analytics.
- Representative panel: This panel of devices closely matches the US national average on age, income, race and more, making them a representative sample of the population.
- Proprietary AI models: From clean data, to attributing store visits, to producing predictive insights - our AI models are the key to the quality of our datasets.
- Comprehensive network of datasets: As well as location data, these models are powered by census data, Safegraph’s point-of-interest data, Transunion’s consumer data and more.
提供机构:
pass_by
创建时间:
2023-02-14
搜集汇总
数据集介绍

背景与挑战
背景概述
这是一个2022年加州JCPenney商店月度访问量的样本数据集,包含商店ID、名称、品牌、月份起止和总访问量等字段。数据提供方Olvin通过地面验证、大规模移动设备分析和专有AI模型确保数据准确性,其完整数据集覆盖全美零售点并提供历史与预测信息。
以上内容由遇见数据集搜集并总结生成



