it is a celebrity selection and evaluation model based on real and effective data of fans, social platforms, searches and research, as well as digital media monitoring data.
csi helps brands find the best celebrity spokesperson for their needs, avoid spokesperson risk, and maximize roi. it evaluates celebrities across 7 dimensions (onscreen activeness, search popularity, social popularity, online reputation, fan acquisition ability, sales power, and brand value increase power) in 3 categories (attraction index, social influence, and brand asset).

based on csi system, miaozhen systems has launched the “sports celebrity selection index”, namely the scsi system.
on the basis of the csi model and through strict data demonstration, the tertiary index “sports professionalism” is specially added under the “attraction index” in the scsi to accurately measure the commercial value of sports stars. as a unique data index of scsi, “sports professionalism” is a weighted index of sports popularity, sports celebrities’ points index, honors and achievement. it is for evaluating sports celebrities’ professional performance. covering more than 800 sports celebrities at home and abroad, scsi can help brands to screen sports celebrities by various tags such as ta type, basic status of celebrities, historical cooperation effect, etc., so brands can reasonably avoid cooperation risks.
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social influence
· popularity on social
· platforms· iwom
· power of gaining
· new followers -
attraction index
frequency of ·
presence on screens ·search volume ·
-
contribution to
the brand· merchandising index
· brand asset
· promotion power -
risk coefficient
· based on industry experience and public opinion monitoring data, csi classified the risks related to celebrities into 7 categories, namely, political risk, illegal risk, drug-related risk, infidelity risk, racism risk, scandal risk and sexual orientation risk, and can obtain the risk index of a specific star according to the algorithm. for easy understanding, star risk index is in three levels: low, medium and high.



brands can select suitable endorsers according to specific tags such as fan composition,
basic info of celebrities, future popularity, risk index, etc.
at present, the star library of miaozhen systems covers nearly 3,000 domestic
and foreign celebrities in many fields, and the star list is continuously updated on a weekly basis
- the star type can be accura-
tely identified according to
the fan attribute. brand ad-
vertisers can select the ap-
propriate endorsers in ac-
cordance with their own
marketing objectives,
scenarios and budget - relying on rich sources of
big and small data such as
social platforms, searches,
research and digital media
monitoring, celebrities' at-
traction power, social influ-
ence and contribution to
the brand are comprehen-
sively evaluated - through coefficient indivi-
dualized analysis of cele-
brities' merchandising
power and brand assets
promotion power, cele-
brities' commercial value
generated in endorse-
ment is accurately
evaluated - the exclusive ai algorithm
model is used to remove
false fan data and false
interaction data to reveal
the real level of celebrities'
popularity
- celebrities' future popula-
rity, risk coefficient and
risk coefficient of their
ifans can be estimated
scientifically to help
brands identify promising
celebrities and avoid risks
in time - nearly 3,000 domestic and
foreign celebrities are
covered in the continuously
updated star database.
panoramic combination
screening helps brands find
suitable endorsers - the user-friendly
dashboard visuali-
zation system shows
similar celebrities
automatically for
easy comparison
- the star type can be
accurately identified
according to the fan
attribute. brand ad-
vertisers can select the
appropriate endorsers
in accordance with their
own marketing objecti-
ves, scenarios and
budget - relying on rich sources
of big and small data
such as social platforms,
searches, research and
digital media monitoring,
celebrities' attraction
power, social influence
and contribution to the
brand are comprehen-
sively evaluated - through coefficient in-
dividualized analysis of
celebrities' merchandi-
sing power and brand
assets promotion power,
celebrities' commercial
value generated in en-
dorsement is accurately
evaluated
- the exclusive ai al-
gorithm model is
used to remove false
fan data and false
interaction data to
reveal the real level
of celebrities' popu-
larity - celebrities' future popu-
larity, risk coefficient and
risk coefficient of their
ifans can be estimated
scientifically to help
brands identify promi-
sing celebrities and
avoid risks in time - nearly 3,000 domestic
and foreign celebrities
are covered in the con-
tinuously updated star
database. panoramic
combination screening
helps brands find
suitable endorsers - the user-friendly
dashboard visuali-
zation system shows
similar celebrities
automatically for
easy comparison