Data 25 January 2021 7 MIN

Signals Analytics: Using Advanced Analytics to Navigate the E-Comm Boom

A webinar hosted by Signals Analytics' Co-Founder and Chief Research Officer, Kobi Gershoni, titled “Using Advanced Analytics to Navigate the E-Comm Boom," explores the rise in e-commerce during the COVID-19 crisis and what it has taught us about this and more:

  • Which COVID-19-related topics brands should be thinking about when building their strategies
  • How to forecast and predict personalized messaging to improve ROI
  • How to plan and modify your campaigns based on trends analysis, connecting to your product claims and audience value
  • How to access new data sets for better market intelligence
  • What it means to go beyond syndicated and retail sales data to get a deeper understanding of the e-commerce channel
  • Why navigating e-commerce with analytics is so difficult and how new capabilities like product clustering solve the problem

Signals Analytics' configurable data platform is a data fabric that connects and classifies countless rich, external sources into unified contextual data, and augments analytic applications with unparalleled accuracy and scale. Patented machine learning, NLP and data automation technologies leapfrog traditional approaches of data collection and management to help organizations maximize the impact of advanced analytics and harness the power of external data to drive successful business outcomes. Business users, consumer and market insights teams and data & analytics organizations leverage the platform to surface powerful trends and predictive insights and benefit from business-ready applications and integrations of the data into their business intelligence environments. Trusted by an impressive roster of global brands including Procter & Gamble, Nestle, Johnson & Johnson, Bayer, Roche, Mars and others who experience higher sustainable growth, faster time to insight and other data-driven benefits, Signals Analytics is redefining the world of market intelligence. For more information visit www.signals-analytics.com.