Winmo’s Enhanced Integration with StatSocial Surfaces Demographic Data to Enrich Prospecting
Winmo has significantly expanded its integration with StatSocial to include detailed demographic and social audience intelligence—covering gender, income, location, age, ethnicity, personality insights, influencers, interests, brands, and media properties—across over 5,000 advertiser profiles, enabling ad agencies, publishers, and sales teams to better target prospects by understanding the unique audience compositions of brands like Skittles and uncover growth opportunities.
All advertisers are not created equal. Some brands appeal more strongly to Hispanics, or Millennials, others skew male, trend affluent, or any combination of the above. And now, Winmo users can discover advertisers’ unique audience compositions, thanks to our growing partnership with StatSocial, which analyzes the social footprint of thousands of brands to capture the essence of their demography.
Expanding on the StatSocial partnership beta tested last year, Winmo is now adding demographic data to over 5,000 Winmo profiles (a 150% increase in coverage). Customers will now have the ability to track social audience intelligence and find insights across segments like:
- Gender
- Household Income
- Cities
- Age
- Ethnicity
- Personality Insights by IBM Watson
- Influencers (NEW)
- Interest (NEW)
- Brands (NEW)
- Media Properties (NEW)
Use Cases: How Winmo Clients Are Benefiting from StatSocial Data
Ad agencies, publishers, and sponsorship sellers are using this feature to isolate prospects most likely to be interested in their offerings. Lifestyle-focused organizations, for instance, can target brands with a higher-than-average household income rank. Many sales teams are using the filters to reach advertisers whose audiences correspond with their own viewership, while others are flipping the model to focus on brands not currently attracting their core segment, in order to expose growth opportunities.
Let’s say you want to reach the decision makers at Skittles, for example. The StatSocial audience report gives a full breakout of the characteristics of Skittles’ social media followers.
Color Bars:
Each bar shows the portion of Skittles’ following in that particular demographic. For example, almost half (46%) of Skittles’ audience comes from households making between $50K-$100K per year. The more dark blue a color bar becomes, the more above average that particular demographic percentage is.
Index:
Another way to interpret StatSocial data is the index for each trait. The index simply defines how much above or below average each reading is.
Search:
For maximum prospecting value, sales and new business teams also have the ability to hone in on social segments in searches, to build out hyper-targeted prospect lists.
Whether or not a sales organization caters to a particular audience, they can utilize social demographic data to personalize outreach and craft a more powerful and comprehensive needs analysis.
Ready to start filtering your prospect lists based on social demographic data? Request a Winmo trial today!
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