Miaozhen System's SEI is an industry-leading system for predicting and measuring variety program, TV series, and e-sports/sports event sponsorship effectiveness.

SEI integrates social media, search, and research data into its model, accurately predicting and evaluating show sponsorship across 6 metrics (attention index, engagement index, recall index, relevance index, affection increase index, and purchase intention increase index) in 3 categories (show performance, brand connection, and brand profit). SEI takes all influencing factors into account to provide guidance for platforms and brands to partner and optimize.

Since its launch in 2015, SEI has accumulated data from 400+ programs and series, 2k+ sponsor brands, 20k+ sponsorship scenarios, and 300k+ research samples. Today, SEI is the leading third-party sponsorship evaluation model in the industry.
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SEI has accumulated data from
programs and series

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sponsor brands

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sponsorship scenarios

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research samples

Core functions of the SEI system
  • Multi-source data is inte-
    grated to comprehensively
    and quantitatively evaluate
    sponsorship performance,
    overall performance of
    program content, linkage
    between content and
    brand, and brand revenue
  • With 90% of popular variety
    shows and plays covered as
    well as data of insight into
    2,000 brands and more
    than 300,000 consumers, the
    system has accumulated rich
    and powerful databases and
    industry benchmark values
    of different types to meet
    the needs of sponsorship
    analysis of brands
  • Targeted programs are ana-
    lyzed in many dimensions,
    with an average of more
    than 10,000 samples per
    monitored program to gain
    in-depth insight into the
    performance of the pro-
    grams among different
    audience groups
  • Systematic, real-time and
    fast data collection can
    help brand advertisers
    understand the sponsor-
    ship evaluation effect in
    time, optimize their com-
    munication strategies, and
    provide guidance and su-
    ggestions for their future
    content marketing
    strategies
  • Data is monitored on a
    weekly basis to help
    brand advertisers adjust
    their sponsorship
    strategies in time
  • Multi-source data is inte-
    grated to comprehensively
    and quantitatively evaluate
    sponsorship performance,
    overall performance of
    program content, linkage
    between content and
    brand, and brand revenue
  • With 90% of popular variety
    shows and plays covered as
    well as data of insight into
    2,000 brands and more
    than 300,000 consumers, the
    system has accumulated rich
    and powerful databases and
    industry benchmark values
    of different types to meet
    the needs of sponsorship
    analysis of brands
  • Targeted programs are ana-
    lyzed in many dimensions,
    with an average of more
    than 10,000 samples per
    monitored program to gain
    in-depth insight into the
    performance of the pro-
    grams among different
    audience groups
  • Systematic, real-time and
    fast data collection can
    help brand advertisers
    understand the sponsor-
    ship evaluation effect in
    time, optimize their com-
    munication strategies, and
    provide guidance and su-
    ggestions for their future
    content marketing
    strategies
  • Data is monitored on a
    weekly basis to help
    brand advertisers adjust
    their sponsorship
    strategies in time