Aaum's - Presentation on Analytics for Movie halls & mutiplex

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01 N, 1st floor IIT Madras Research Park, Kanagam road, Chennai – 600113
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Lower customer defection rates
Increase views/visit per customer
Increase frequency of views/visit per customer
Attract new customers
Expand the geographic reach
EFFECTIVENESS
COST & EFFORT

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Tina, a home maker. Wife of a seeker, living in Chicago. Has two school going kids. Has a hectic morning rush hour.
However, free from 10 am till 3 pm, when kids return from school. Has a social circle within the apartment complex,
women from similar background. Spends time socializing to take a break from her schedule.
DISCOVER FAMILIARIZE CONSIDER WATCH SHARE
FRI END S & FAMI LY
TV
W EB
TRAD I TI ONAL MED I A
SEARCH
SO CI AL MED I A SAMPLI NG
MO VI E SI TES
FRI END S & FAMI LY
BO O K MY SHO W
THEATER SI TE
FRI END S & FAMI LY
CI TY TAXI
PLAN
TI CKET CO UNTER
SNACKS CO UNTER
W I ND O W SHO PPI NG
SO CI AL SHARE
SMS
RECO MMEND
NEED A BREAK
LEI SURE O PTI O NS
MO VI ES?
DOTHINK
SELECTI O N
SCHED ULI NG
TRAVEL
CO MPARI SO N / I NVESTI GATI ON
STO RYLI NE / PLO T / CO MPREHENSI O N
TASTE / VALI D ATI O N / PRO JECTI O N
CO MMI TMENT
RELAXATI O N
JUSTI FI CATI ON
EXPERI ENCE
VALI D ATI O N
PRO MO TE
FEEL
ESCAPE
CURIOSITY
ANTICIPATION
SKEPTICISM
OVERWHELMED
DECISIVE
ANTICIPATION
EXCITEMENT
COMMITMENT
EXCITEMENT
JOY
AWARENESS ASSURANCE PROMOTION COMMITMENTJUSTIFICATION
MOVIE ALERTS
SOCIAL, MOBILE
REVIEWS,
VIDEOS
SOCIAL, MOBILE,
EMAIL
RETAIL OFFERS
MOBILE, WEB, BLUETOOTH
THANKS,
VIDEOS, OFFERS
FOR NEXT VISIT
SOCIAL, MOBILE,
EMAIL
ENGAGEMENT
OPPORTUNITIES
RETAIL OFFERS
SOCIAL, MOBILE


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ANALYTICS
MOVIES
• GENRE
• MOVIE – AUDIENCE SEGMENTS
• TIME SLOTS
• SCHEDULING
• TICKET CATEGORIES
• DATE/DAY OF LAUNCH
• PROMOTION EFFECTIVENESS
• MOVIE PARAMETERS
• COMPETING MOVIES ANALYSIS
• FORECAST / PREDICT OPENING
CUSTOMER
• SEGMENTATION
• FIXED VS. FLOATING
• CHOICE OF REDEMPTIONS
• EFFECTIVE CHANNELS
• ROI ON LOYALTY
• RFM ANALYSIS
• MOVIE PREFERENCE CLUSTER
• LTV
• REGULAR VS. IRREGULAR
• BEHAVIOR LINKED
THEATER
• MOVIE LOCATION MAPPING
• TREND ANALYSIS ON
REVENUES – LOCATION,
MOVIES, SIZE, SEAT TYPE,
SCREEN SIZE, ETC.
• MARGIN ANALYSIS /
PROFITABILITY
• BOOKING ANALYSIS – CARD,
POS, SEAT PREFERENCE, LEAD
TIME
• CUSTOMER TYPE VS
ENGAGEMENT EFFECTIVENESS
RETAIL
• F&B PURCHASE VS CUSTOMER
PROFILE VS TIME SLOTS VS
PLACES
• DISCOVER APPROPRIATE
PROMOTIONS BY LINKING
ITEMS BOUGHT TOGETHER BY
ASSOCIATION RULES
• OVERALL MOVIE TIME
EXPERIENCE – PRIOR AND
AFTER WATCHING THE MOVIE
AT MALLS & SHOPS
RECOMMENDATIONS – MOVIE PROGRAMMING, SCHEDULING, PROMOTIONS, MOVIE RECOMMENDATIONS, ETC.
INCREASE ATP* INCREASE SPH*REPEAT VISITS
* ATP – Average ticket price
* SPH – Sales per hall

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01 N, 1st floor IIT Madras Research Park, Kanagam road, Chennai – 600113
 +91 44 66469877  +91 44 66469887  +91 44 66469877
 info@aaumanalytics.com b.rajeshkumar
AaumAnalytics http://www.youtube.com/aaumanalytics
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http://www.linkedin.com/company/aaum-research-and-analytics-iit-madras
Aaum Research and Analytics founded by IIT Madras alumnus brings in
extensive global business experience working with Fortune 100
companies in North America and Asia Pacific. Incubated at IIT Madras
Incubator ecosystem with a focus on researching and devising the
sophisticated analytical techniques to solve the pressing business
needs of corporations ranging from travel & logistics, finance,
insurance, HR, Health Care, Entertainment, FMCGs, retail, Telecom.
“Organizations are competing on analytics not just
because they can- but because they should…”