Retail Data

Resonate Retail data helps you create a holistic picture of consumers– and the competition’s customers– so you know what drives them, what products they want, if they are likely to churn (and why), and much more. Improve your model performance, optimize your O&O campaigns, and increase media performance with the freshest, richest consumer intelligence dataset available today.

Retail Intent Data
- Future purchase category and location
- Future apparel spend
- Online grocery likelihood

Retail Preferences and Psychographics
- Retail selection traits
- Apparel purchase drivers
- Household goods and furniture purchase drivers
- Healthy and beauty purchase drivers
- Reasons for ordering groceries online or delivered
- DTC (Direct-to-Consumer) shoppers

Market and Competitive Data
- Past purchase category and location
- Retail brands shopped with
- Apparel brands shopped with
- In store vs. online shopping
- Name-brand shoppers
- Holiday purchasers
- Shopper type

Additional Retail Data
- Demographics: Income, Marital status, Employment, Net worth, Multicultural data
- Media Consumption: Digital, Social, Linear, CTV, Traditional

Already working with an existing data provider like Acxiom, Experian, Epsilon, or Transunion? Resonate Retail is a great addition to your existing data sets with unique categories.

What sets Resonate data apart?
- rAI: Cutting-edge AI + consumer online behavioral & offline consumer data + Resonate’s ground truth powers a whole-human understanding with speed, precision & scale.
- Depth of Understanding: Psychographics, media consumption, behaviors & intent, demographics and product preferences provide the WHY behind consumer decisions.
- Continuously Refreshed: Keeping pace with the consumers by updating our models nightly.
- Individual Data: Data aligned to individuals, not households & connected to 1 billion devices.
- Most Predictive: Data sources that understand consumers today to predict tomorrow.

Source: rAI, the Resonate AI Data Engine, is a proprietary neural network that delivers an unparalleled consumer data set, powering a more complete understanding down to the individual level.

Expected workflow: Step 1: Work with your Resonate CSM to select the Resonate Data Append clusters that include attribute values which fulfill your business needs. Step 2: Create a table in your Snowflake account. Resonate accepts multiple types of IDs: Hashed Email (HEMs) and Mobile Ad IDs (MAIDs). Step 3: Share the table with Resonate once the data is loaded into the Snowflake table. Step 4: Resonate will process the data and create an output table for you. Step 5: You receive your output table in Snowflake. Navigate to ‘Private Sharing’ on your Snowflake account. You will also receive a definition file from Resonate via your CSM.

搜集汇总

背景与挑战

背景概述

Retail Data是一个全面的消费者智能数据集，帮助构建消费者及竞争对手客户的整体画像，涵盖购买意图、偏好、心理特征、市场数据、人口统计和媒体消费等多维度信息。该数据集基于先进的AI技术，提供深度、持续更新且个体级别的洞察，以预测消费者行为并优化业务决策。其工作流程涉及通过Snowflake平台进行数据选择和集成，支持多种ID类型，最终输出定制化的分析结果。