Banking Data

Resonate Banking data helps you create a holistic picture of bankers– and the competition’s bankers– so you know what drives them, what products they want, if they plan to switch banks (and why), and much more. Banking Intent Data - Timeframe to open a new account - Applying for a new credit card - Likelihood to switch banks - Timeframe to switch banks - Life stages (buying a new home and car, getting married, starting a small business, etc.) Banking Preferences and Psychographics - Reasons to switch banks - Financial product purchase drivers - Bank selection considerations - Credit card considerations Market and Competitive Data - Primary and secondary bank - Bank products purchased - Primary card type - Credit card usage behaviors Additional Banking 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 Alliant, Acxiom, Experian, Epsilon, or Transunion? Resonate Banking 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

该数据集提供全面的银行客户画像，涵盖意图、偏好、市场数据及人口统计信息，帮助理解客户行为和驱动因素。Resonate数据通过AI技术和个体级别分析提供深度洞察，并支持在Snowflake平台上的工作流程，实现高效数据处理和输出。