Retargeting has dominated the market in 2015, and it is increasingly becoming more sophisticated in delivering the right messages and products to online shoppers. Consumer products companies can use the technology in conjunction with big data analytics to target shoppers within a specific region or
Consumer products brands can make the most of their social media presences when they listen to and learn from what audiences have to say, both the good and the bad. By analyzing this data and incorporating insights into marketing operations, CPG leaders can develop processes for reaching consumers
The advent of weather analytics has come none too soon. From inventory planning to public safety, organizations around the world are looking to weather data to help inform their decisions. But can they stay afloat in a sea of big data?
If you’re trying to pull together consumer data collected in disparate sources but are struggling to make sense of it all, then you’re long overdue for a strategy overhaul. At Insight 2015, learn how you can begin rethinking your own consumer data strategy.
Data reservoirs are useful tools that can help organizations create new products and services, increase customer service and efficiency, and reduce waste and fraud. But what is a data reservoir and how do you create it?
The consumer products industry is undergoing a seismic shift in which markets are becoming increasingly fragmented. Thanks to technology, the process of buying is becoming synonymous with research; consumers are the masterminds of finding their way to great products and even better value. It's this
When it comes to big data and analytics, you can expect the unexpected. A wide range of companies is applying insights in ways that may surprise you. Here are four examples featuring an unusual mix of companies where the only common denominator is their success with analytics.
Could you be missing the larger story in your data? At IBM Insight 2015, learn how one consumer products company did just that, as well as how changing that company’s way of doing business helped it integrate big data solutions into daily practice.
Turn on, tune in, but don't drop out. This twist on a catchphrase from psychologist Timothy Leary captures what consumer product marketers must do to monetize all the rich social media data that users generate on sites such as Facebook and Amazon. Monitoring and interacting with this data, which
With multiple channels at their fingertips, retail and consumer products are a single click, swipe or download away from the deal they want. Learn how to personalize the consumer experience by untangling big data, building brand loyalty and increasing revenue.
Thanks to a deluge of sensor data, not only is our ability to forecast the weather more accurate than ever, but this information also can be used in exciting new ways. In this Internet of Things podcast, see how The Weather Company is helping businesses use weather data for competitive advantage.
Even with structured programs in place, one of the biggest barriers to consumer product innovation is measurement. It's challenging for organizations to make data-driven decisions, especially when innovation initiatives span multiple teams and roles. Here are three ways teams can keep data front
Social media sources such as Twitter, Facebook, Instagram and Pinterest help CPG leaders listen to, learn from and connect with consumers. Here are three ways that CPG leaders are expanding their use of data and analytics to augment their social media strategies.
As markets become more competitive and fragmented, CPG brands need mechanisms to connect with consumers faster. That's why CPG leaders are building strategies around real-time data to optimize micromoments in stores. Here are a few example initiatives that are bringing brands closer to their
Today's consumer packaged goods (CPG) industry leaders are tackling these pain points head-on with supply chain solutions that utilize data. Thanks to new analytics technologies, organizations have the potential to improve efficiencies, increase speed to reach consumers, build predictive models and