Analysis Finds Nielsen's 'Big Data + Panel' Currency Unstable, Inconsistent...and Destabilizing
Audience Data Spanning 33 Networks, 30 NFL Games, 6 Key Demographics From
"It turns out the begrudging Upfront use of Nielsen's not-really-ready Big Data trading currency has already gone to worst-case-scenario on early returns," said
Among the findings elaborated upon in the report:
- Between 45%-58% of total hours had over a 20% audience variance on Big Data + Panel (BD+P) vs. Panel-Only (PO) among key buying demographics. This equates either close to, or over, ten thousand hours collectively, depending on the demo.
- A significant percentage of hours had over a 50% audience variance on BD+P vs. PO among key buying demographics.
- One in every ten hours had severe variances between BD+P vs. PO on the younger P18-34 demographic.
- Between 16% to 40% of hours with NFL games had double-digit BD+P vs. PO audience variances. A double-digit variance can mean the loss of hundreds of thousands of viewers in key demographics within higher rated games.
"For the big-volume trading demos, currency has two jobs: stability and predictability. Our deep-dive shows that BD+P has not gotten either job done, across thousands of hours of premium programming," added Cunningham.
Read the full report—which features in-depth network and NFL game data, along with methodology and cited sources—here.
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SOURCE VAB
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