Category: Big Data
How Reynolds Wrap Can Grow its Brand by Finding the Ideal Customers
When it comes to successful ad targeting for consumer packaged goods brands (CPG), there are a lot of theories, but little data.
Until recently, that is. In June, Nielsen Catalina Solutions (NCS) released the results of a study on 50 CPG brands over 3-and-a-half-years at various stages of their life cycles called How to Build Brands. Recently, Reynolds Wrap, the venerable aluminum foil brand, took a deep dive into what this data means for the brand.
According to the study, advertising spend becomes more efficient when marketers can identify which consumer groups the messaging resonates with most. Ideally, marketers can double down on such targeting to improve return on ad spend (ROAS) and sales lift. For CPGs, efficient spending is imperative. The average food store in the U.S. is 7,500 square feet smaller than 10 years ago and has about 9,000 more products for sale. But 60% of shopping decisions are still made in store. Clearly, many shopping decisions are up for grabs.
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What Six Billion Rows of Data Taught Us About Advertising Effectiveness
By Leslie Wood, Chief Research Officer
If you Google “rules of advertising,” you’ll find that most of these golden rules focus on how to develop great creative. There isn’t a lot of data-driven direction for planning and delivering advertisements with the right messages to the right audiences. In the past, we didn’t have the tools and framework to understand the financial implications of messaging and targeting decisions. Today, we do.
Now, we can stop asking the following questions and start answering them.
- Does advertising really work or can I just cut the price?
- What are the best short- and long-term strategies for driving growth?
- Who should we target—current buyers or non-buyers?
- What are the roles of creative and media in driving brand growth?
- How should the life stage of my brand affect decisions?
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What’s Next: Navigating the New Age of Facebook Audience Targeting
NCS can help you navigate the new third-party audience requirements.
“The August 15th Deadline” is here and there are still so many questions looming in the minds of digital advertisers about the “post-Partner Categories” world of advertising on Facebook. Will there be less data to use for delivering targeted advertising? How will my existing campaigns and segments be impacted? Will I have to redo my entire advertising plan and budget? Are my campaigns at risk of becoming less efficient, or will I be able to maintain campaign performance?
According to AdAge, “An estimated $1 billion of ad spend on Facebook has gone through third-party partner program every year.” NCS is well prepared for this transition. Because safeguarding consumer privacy and advertising data integrity has always been a core value for us, very little will change in regards to how you can use our segments to reach your important audiences on Facebook.
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Did You Miss NCS At Cannes?
While yacht-hopping in the French Riviera can’t be part of everyone’s job descriptions, getting the download from Cannes is always just a play button away, thanks in part to Beet.TV. See what NCS had to share with the adtech world:
Outcomes-Based Measurement: Andrew Feigenson reflects on the increasing authority of the almighty dollar as advertisers’ KPI of choice, and how publishers are in turn using ROAS to improve their products and inventory:
Bringing Buyergraphics To OTT & CTV: Matt O’Grady expands on our latest integration with Innovid to power dynamic campaign creative for Advanced TV based on consumers’ actual purchase history:
Nielsen Catalina Solutions Brings Largest CPG Purchase Dataset To Facebook Advertisers
CINCINNATI, OHIO – Sept 22, 2016 – Nielsen Catalina Solutions (NCS), the leader in purchase-based targeting and return on ad spend measurement for the CPG industry, today announced an agreement with Facebook that will allow marketers to use CPG purchase data from NCS to measure the in-store sales impact of their Facebook ads.
NCS has the largest, most representative CPG purchase dataset in the industry, with in-store purchase data from over 90 million U.S. households, across more than 18,000 retail and drugstore locations. This shopper data is calibrated with Nielsen Homescan® and Retail Measurement Services (RMS) data to effectively cover nearly 100% of all-outlet U.S. CPG spend. Combining this purchase data with ad exposure information from Facebook will allow CPG marketers to identify their most responsive consumers and understand the impact their advertising has on in-store sales.
“Together, Facebook and NCS are collaborating to provide the industry with a closed-loop solution that helps marketers better understand the sales impact of their advertising on Facebook, Instagram and Audience Network”
– Brad Smallwood, VP Measurement & Insights, Facebook
“The ability to measure results using the deep CPG expertise of NCS is beneficial to our clients.” “The most important thing to understand about data – in the context of advertising – is that the quality of the audience segments and the measurement can only be as good as the data itself,” said Matt O’Grady, CEO, Nielsen Catalina Solutions. “Combining the highest quality purchase data with the huge reach and the resulting ad exposure data from Facebook, we can get a deep understanding of how these ads are driving consumers to purchase. This only scratches the surface of what we will be able to do together in the future.”
NCS (Nielsen Catalina Solutions) is a purchase-based ad targeting and ROAS measurement firm serving the CPG industry. We integrate in-store purchase data from over 90 MM households with media exposure data from TV, online, mobile, print, radio and CRM to help consumer packaged goods advertisers, agencies and media companies define their most valuable audience, reach them with advertising and measure incremental sales from the campaign. The joint venture between Nielsen and Catalina has helped over 200 advertisers and 450+ brands optimize ad performance to drive revenue growth and increase return on ad spend.