I’m working on a men’s skincare product and am looking into improving my multichannel attribution using machine learning. Any recommendations on how to go about doing this?
180byTwo’s AccountLink data set is an account-based marketing solution based on geospatial and IP data. AccountLink gathers company locations (15 million so far) and, with geospatial data analytics and artificial intelligence programming, creates Ideal Customer Profiles (ICPs) for marketing use.
Exante Global Flow Analytics supports alpha generation and risk management by extracting comprehensive price signals from detailed capital flow analysis. Exante complements hard data and raw model outputs with timely, narrative-based content, focusing on key global thematics and risk scenarios. Additionally, Exante maintains dialogues with their clients, providing bespoke coverage and service.
PipeCandy eCommerce Leads & Insights for Fulfillment tracks company data and company shipping details: shipping volume, which companies they use to ship products, whether they ship internationally or not, and so on. You can find company leads easily with this dataset with filter capabilities.
Included as part of a software service, Edge by Ascential’s Retail Insight tracks retail data on thousands of retailers in nearly 200 markets to help you analyze your competition, measure your customers’ engagement, track market trends, and predict product performance.
US Data Corporation Consumer Lists provides marketers with customer data like demographic, transaction, lifestyle, mortgage, & more