Brand Graph(TM) Q2 Research Uncovers Link Between Audience Insights and Campaign Performance Across Eight Industries
33Across Report Reveals Most Significant Behavioral Changes in Auto Category
(firmenpresse) - NEW YORK, NY -- (Marketwire) -- 08/02/12 -- , operators of the world's largest , reaching over a billion users, today released its , following the recent announcement. This third quarterly report highlights prevalent social habits of consumers -- blog consumption, content sharing, search, and video viewership -- in addition to interest data benchmarks, which include the top three consumer preferences in each industry category. The standout finding for this quarter was the increased online activity among consumers within the Auto category, indicated by the upward trend in social sharing and media consumption across the board.
The report represents a macro view of individual advertiser Brand Graphs, which enable marketers to gain a sophisticated understanding of their audiences and tailor their marketing strategy to comprehensive social, behavioral, interest, and demographic insights. The results were culled from 140 advertiser campaigns for 81 brands within 8 vertical categories from April to June 2012.
The greatest change in consumer behavior between Q1 and Q2 occurred within the Auto Category. Advertisers, which include economy and luxury brand auto manufacturers, saw a substantial jump within each of the four social habits: 15% growth in blog consumption, 10% rise in overall content sharing, 10% spike in online search, and 7% increase in video viewership. The sharp upsurge in each of these areas should signal to auto brands that they must align marketing efforts to these audience attributes.
The most notable cross-category finding was the material improvement in branding that companies achieved when marketing to consumers in their Brand Graphs. The data suggests that tapping into online social connections leads to greater brand awareness, recall, and consideration.
Brands that marketed to consumers in their respective Brand Graphs saw an average of 55% brand lift and 198% better direct response performance. Across all 8 categories, there was a 157% average improvement in return-on-ad-spend (ROAS).
Brands were able to predict and reach groups of new consumers likely to become brand loyal that on average were 15 times larger than their existing loyal audience segments.
33Across builds a custom Brand Graph for each of its clients, equipping them with a rest-of-web (ROW) marketing blueprint that identifies the universe of consumers likely to become brand loyal based on users' interests and social proximity to a brand.
Agencies and brands use the data trends and insights revealed in their Brand Graph to reach millions of new brand loyalists and to inform and guide their overall advertising strategy and spend.
Over 600,000 publishers and more than 375 Fortune 1000 marketers use 33Across's Brand Graph™ technology, tools, and real-time predictive systems to connect their content and products into the social graph. Clients rely on their Brand Graph to leverage how individuals and the networks around them react to what is read, purchased, shared, and recommended in real-time. Reaching over a billion users, 33Across processes tens of thousands anonymous social engagement, influence, and interest actions that surround marketer and publisher brands each second. The company has offices in 11 cities including New York, San Francisco, Sunnyvale, Salt Lake City, Chicago, Detroit, and Boston. Learn more at .
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Datum: 02.08.2012 - 07:00 Uhr
Sprache: Deutsch
News-ID 1138942
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