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.

sei has accumulated data from
programs and series
sponsor brands
sponsorship scenarios
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