New Hope Network is part of the Informa Markets Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

In Session

Examining the 'I' in retail: Data-driven personalization

In this Natural Products Expo West 2019 session, Nielsen’s Sarah Schmansky provides an in-depth data-backed perspective on what retailers and manufacturers are doing to make the shopping experience more personal. She shares how companies are connecting with consumers and bringing them into their story, and how they’re being true to themselves so they can continue to grow sales.

“Reinventing consumer discovery is crucial and essential to maintaining growth in this industry. We have to provide customized recommendations and offerings that will really make it easier for all of us to get what we want and what we need.”

—Sarah Schmansky, Nielsen


  • Data, artificial intelligence and machine learning have altered the way that we discover products and search for things.
  • Right offer + right person + right time = 13x ROI and effectiveness.
  • Growth of socially charged advertising is upwards of $2 billion and growing 4x since 2011.
  • Click-and-collect pickup lockers are probably the simplest and most ubiquitous expansion we’ve seen in this space over the last few years. 
  • We’re not ready just yet to purchase our fresh products online; this is where brick-and-mortar retailers will continue to stay relevant and win, and ultimately bring consumers back into the store.

This session—Connecting with the Changing Consumer: The “I” in Retail--Data-Driven Personalization—was recorded at Natural Products Expo West 2019. Click "download" below to access the presentation slides. 

TAGS: General
Hide comments


  • Allowed HTML tags: <em> <strong> <blockquote> <br> <p>

Plain text

  • No HTML tags allowed.
  • Web page addresses and e-mail addresses turn into links automatically.
  • Lines and paragraphs break automatically.