SlideShare a Scribd company logo
1 of 30
Download to read offline
Movie Daily Deals – The Revenue Differentiator
How movies influence revenues, rankings & maybe even national ticket sales




                             Dataotuan.com        Published:   Mar. 6, 2012
Table of Contents
   The Intro
   Movie Deal Vendors
   Movie Deal Structure
   The Trend
   January 2012 Stats
   Geographics
   Sites Ranking With or Without
   The Making of a Movie Deal
   Summary
   About Dataotuan
   Contact


                      © Dataotuan.com - blog.dataotuan.com   2
Movie Deals – The Intro
Movies are a recurring event in the Chinese daily deal universe.

From the moment Dataotuan started tracking deals they have always been one of
the 3 biggest subcategories in the top deals overview.

In January 2012 alone, movie deals accounted for 13.4% of the total deal
revenue.

The new year seemed a good moment to dig deeper and find the story to what
makes movie deals so popular and on the face of it so lucrative to Deal websites.

The report will start with providing insights in the cooperation models as well as
how deals are structured. Next on the list will be looking deeper into the data we
retrieved and analyzed, followed by a real life example of a movie deal by
Meituan as well as “ The Making of a 55tuan Movie Deal”

Lastly we will put the movie deal in an Asian perspective.




                             © Dataotuan.com - blog.dataotuan.com               3
Movie Deals – The Vendors
 There are two kind of vendors for Movie deals :
 Deal sites cooperate with a specific cinema. Consumers can use the coupons
  in the Cinema. (such as Wanda Cinemas, Stellar International Cineplex, etc.);
 Deal sites cooperate with a ticket website. Consumers can book online to
  watch a movie in different cinemas. (such as himovie.net, spider.com.cn, etc.)




                            © Dataotuan.com - blog.dataotuan.com             4
Movie Deals – The Structure
 There are several ways that Movie deals are structured
 Deal sites pre-buy tickets from a cinema which they resell as a deal.
 Deal sites guarantee a minimum number of sales, and sell the tickets at the
  agreed price.
 Deal sites guarantee a minimum number of sales, and sell the tickets at the
  price above the agreed price to keep some margin.
 Deal sites sell the movie tickets as they sell the other service deals, and pay
  according to the nr. sold to the cinema in the beginning, middle and end of the
  valid time that users can redeem the deal.

Each deal is structured differently as it will depend on who holds the leverage.
Depending on the leverage, a deal site may keep some margin, charge some
service fee or what happens often, work for free and very likely spend money to get
and promote a movie deal as it’s a good way to acquire new users and reconnect
with existing users.
A sign that Movie deals may often be loss leaders is that the deal websites don’t
pay kickbacks for referrals on these deals.


                             © Dataotuan.com - blog.dataotuan.com              5
Movie Deals – The Trends 1
 The number of movie deals has been around 2% of the total deals launched.
 The percentages of the total deal revenue and nr. sold has always been high
  with peaks during holiday seasons.
 Since June 2011 the revenue % of movie deals among the total has been
  hovering between 4.7% to 13.4%.

                               % of Movie Deals among Total


                                                                                        15.8%
    12.0%

  11.0%             9.3%                                                                          13.4%
                                  8.3%                       8.1%             6.0%
                 8.2%                         5.5%
                                                                6.7%
                                5.2%                                                  5.1%
                                                     4.7%
          2.2%          2.1%           2.3%          2.2%           2.0%             1.9%          2.2%

   Jun.2011      Aug.2011       Sep.2011      Oct.2011         Nov.2011        Dec.2011         Jan.2012

                           % Revenue           % Nr.Sold                  % Nr.Deals




                                   © Dataotuan.com - blog.dataotuan.com                                    6
Movie Deals – The Trends 2
 The absolute number of average Nr. Sold and Revenue of movie deals
  changed depending on the seasons with the Summer Holiday and New Year’s
  Holiday standing out.



                                  Nr. Sold & Revenue of Movie Deals



          80,166                                                                       71,733


                       51,174
                                                           38,851          30,664
                                 29,625
                                              23,418
  2,981
                                                                                         2,783
               1,937                                           1,663
                                1,408            1,052                         1,164

   Jun.2011    Aug.2011         Sep.2011      Oct.2011        Nov.2011      Dec.2011   Jan.2012
                           Avg.Nr.Sold                    Avg. Revenue (Rmb)



                                    © Dataotuan.com - blog.dataotuan.com                          7
Movie Deals – January 2012 Stats
 In January 2012, Movie deals accounted for 13.4% of the total revenue.
 The average unit price of a Movie deal was only a low 33.3 Rmb in January,
  considering the average deal price was 142.1 Rmb.
 The average Nr. Sold and Revenue per Movie deal is high.
  They are 7-8 x more than the respective Nr. Sold and Revenue Averages.
Comparison of Movie Deals and Total                                    Revenue Share of Movie Deals

                                  71,773


                                                                                  Others,
                                                               Shopping,           3.9%
                                                                18.4%                          Dining,
                                                                                               33.1%
                                           7x
         2,783
                                                               Life,
                                                              12.6%
                   8x
                                           10,685                                 Leisure-     Leisure-
                   350                                                            Others,       Movie,
                                                                                   18.6%        13.4%
    Average Nr. Sold/Deal   Average Revenue(RMB)

              Movie              Total



                                           © Dataotuan.com - blog.dataotuan.com                           8
Movie Deals – Regions

                                                                                         ¥ 108.8
                                                                                         9399


                   ¥ 130.4
                   4,049

                                                      ¥ 147.3
                                                      15,314



                                                                                ¥ 147
                                                                                35,634
                ¥ 174.4                                               ¥ 116.4
                6,869                                                 10,372




  Leisure-Movie
  Dining-Hotpot/BBQ
  Leisure-Travel                                                                ¥ 179
                                                                                13,993
  Life-Photograph
• Average Price of Local Deals
                                   © Dataotuan.com - blog.dataotuan.com                            9
• Nr. of Local Deals
Movie Deals – City Stats
 Beijing is the best place to find a movie deal. More deals are launched there
  than in any other Tier 1 cities, though on the whole the % of Movie deals
  revenue among total revenue in BJ is low.
 Among the tier 2 cities, movie deals in Fuzhou take the highest percentage
  among the total revenue, and Hangzhou the lowest.

                             Movie Deals in Tier 1 & Tier 2 Cities
                                      Nr. Sold /       Average          % among        % among
            Nr. Deals    Nr. Sold
                                        Deal           Revenue         Total Deals   Total Revenue
  Beijing     334        421,451         1,262         35,052.1           3.9%           7.5%
 Shanghai     207        546,760         2,641         90,581.9           3.6%          12.2%
Guangzhou      92        331,740         3,606         108,112.3          2.0%          13.8%
Shenzhen       75        315,495         4,207         119,828.1          2.0%          14.8%
  Wuhan       122        402,297         3,323         82,848.8           4.0%          19.4%
 Fuzhou        40        234,975         5,876         149,668.4          1.7%          20.7%
Hangzhou       29         28,774          993          32,815.8           1.2%           2.8%
 Chengdu      135        203,932         1,511         34,253.4           4.0%           9.6%
  Total      2,698       7,150,519       2,783         71,733.2           2.2%          13.4%


                                © Dataotuan.com - blog.dataotuan.com                            10
Movie Deals – Sites Ranking With or Without
 Movie deals play a big role in total revenues, just in January Meituan’s Movie
  revenue was at 19.3%, followed by Nuomi (17.9% ) and Didatuan (14.5%).
 Ranking the Deal Sites on Revenue without movie deals has an effect as well.

            Revenue Ranking of Deal Sites inc. & exc. Movie Deals
      Total Revenue     Ranking exclude                            Movie % among
                                                 Deal Sites Name
         Ranking         movie revenue                             Total Revenue
           1                   1                      Meituan          19.3%
           2                   2                       55tuan          10.1%
           3                   3                       Lashou          3.9%
           4                   5                      Dianping         11.2%
           5                   4                       58tuan          3.5%
           6                   6                       Nuomi           17.9%
           7                   7                        Ftuan          3.8%
           8                   8                     Juhuasuan         1.0%
           9                   9                      Manzuo           13.0%
           10                 12                      Didatuan         14.5%



                            © Dataotuan.com - blog.dataotuan.com                   11
Movie Deals – Meituan’ Record & Contribution
 In January, Meituan launched a super movie deal. Revenue of this single deal
  was over 13 million rmb. More than 530,000 people bought this deal.
 Meituan has always been active on movie deals. According to the PR director
  of Meituan, Meituan has contributed 1% to the total box office in China in 2011.




                             © Dataotuan.com - blog.dataotuan.com              12
Movie Deals – 55tuan vs Meituan
 In mid-January, 55tuan launched a movie deal, covering 35 cities, staying online
  for more than one month.
 It seems that 55tuan has made a lot of effort to set a revenue record for a movie
  deal and beat Meituan.




                              © Dataotuan.com - blog.dataotuan.com             13
The Making of a Movie Deal
1. A Time Machine
2. Some Magic Math
3. And Money




No sex though.......




                       © Dataotuan.com - blog.dataotuan.com   14
The Making of a Movie Deal - Extend
Step 1: Extend the Deal time
        55tuan extended the online time of this deal several times
        It has to be noted that this is standard practice and most deal websites
        apply this method to get more buyers




           Screenshot on
            10/02/2012


                                                                Screenshot by
                                                                 17/02/2012



      Screenshot by
       16/02/2012

                             © Dataotuan.com - blog.dataotuan.com               15
The Making of a Movie Deal - Math
Step 2: Display Total Sales as Per City Sales.
        The impression is given that the deal is extremely popular in each city,
        even though the actual sales per city are much lower.




       National Nr. Sold
       showed on each
          City Page

                             © Dataotuan.com - blog.dataotuan.com              16
The Making of a Movie Deal - Price
Step 3: Offering the deal cheaper than it is.
        In 7 cities, out of all the 35 cities, users have to pay an extra 5 or 10 Rmb
         in the cinema.




                     Pay 5 or 10 Rmb
                      more when you
                     arrive the cinema.

                               © Dataotuan.com - blog.dataotuan.com              17
The Result of the Movie Deal Competition




                       Meituan                                     55tuan
Online period    2012. 01. 09 – 01. 18                   2012. 01. 16 - 02. 24
Online days                10                                        39
Price (Rmb)          23 / 26 / 32                                    26
Extra payment              No                                Yes (in some cities)
Discount (off)    62% / 67% / 73%                                   78%
Cities covered             44                                        35
Total nr. sold         537,944                                    401,395
Total revenue
                    13,000,000 +                                10,436,000 +
(Rmb)


                      © Dataotuan.com - blog.dataotuan.com                          18
Movie Deals - Asia
 The movie              % of Movie Deals among Total Revenue
  deals                       13.4%
  phenomenon
  seems very
  special in
  China,                                                 0.73%
  compared to
  the other                                                          0.24%
  countries
  Dataotuan
  tracks.
                                            0.28%




                 0.62%                                           0.01%


                                        0.18%



                  © Dataotuan.com - blog.dataotuan.com                   19
Summary – Movie Deals Phenomenon
1. Movie deals play a special role in the daily deal market in China.
 In January 2012, Movie deals accounted for 13.4% of the total revenue.
    The average Nr. Sold and Revenue per Movie deal are 7-8 times more than
     the total level.
    The movie deals phenomenon seems unique to China, compared to the other
     countries Dataotuan tracks.
2. The movie deals are the key for the deal sites to win more market share.
 Movie ticket deals have a strong effect on revenue and even on the rankings
   of some deal sites.
 As the no.1 deal site, Meituan makes nearly 20% of its revenue from movies.
 According to the PR director of Meituan, Meituan has contributed 1% to the
   total box office in China in 2011.

3.   The making of a movie deal with Chinese characteristics.
    Extending online time repeatedly to increase the sales;
    Showing the total Nr. Sold on the different city pages;
    Making users pay extra in the cinema.

                            © Dataotuan.com - blog.dataotuan.com           20
Dataotuan – Investor Tool
If you have a financial interest in the Group-buying Market, you want to
know:

 What is the market status in general
 Estimates of the Gross Revenue of the main Daily Deal websites.
 Revenue trends for the main Daily Deal websites
 Daily Deal Winners & Losers benchmark
 Deal data including merchant, price, sold count, category, sub category
 Pricing trends & Strategy
 Category trends
 Location trends


Dataotuan can help you with the Investor Tool – Investor Analytics
Contact wenli@dataotuan.com

We offer: Customized reports, merchant details, raw/live data & more.

                          © Dataotuan.com - blog.dataotuan.com             21
Dataotuan – Sales Tools 1 (Website Analytics)
If you are running a deal site, you want to know:

 What is the market status in general and in a specific city
 Are you doing better than the average
 Should you adjust your pricing strategy according to the market trends
 Should you change the products combination

 Who are your competitors
 How competitive are they
 What is their sales strategy
 What is their pricing strategy

Dataotuan can help you with the Sales Tool – Deal Website Analytics
Dataotuan can help you with the Sales Tool – Deal Website Analytics
Contact wenli@dataotuan.com
Contact wenli@dataotuan.com
We offer:
Customized reports, merchant details, raw data, live data and more.
We offer: Customized reports, merchant details, raw/live data & more.

                           © Dataotuan.com - blog.dataotuan.com         22
Dataotuan – Sales Tools 2 (Merchants Analytics)
If you want to enter a new city you want to know;

 What kind of deals are popular in this city
 Who are the good merchants
 Where can you find them
 What is their daily deal history

 Who are your competitors
 Which merchants are they cooperating with
 What is their pricing strategy to generate a popular deal


Dataotuan can help you with the Sales Tool – Merchants Analytics
Contact wenli@dataotuan.com

We offer: Customized reports, merchant details, raw/live data & more.

                           © Dataotuan.com - blog.dataotuan.com         23
About Dataotuan.com

Dataotuan, a unique daily deal aggregator and analytics platform in China,
was started with 2 goals in mind.
1. To recommend the best deals to our users based on where they are, what they
   like and when they want it as well as giving them tools to manage them
2. To analyze the deal data in order to find out what constitutes the best daily deal




                              © Dataotuan.com - blog.dataotuan.com               24
Dataotuan Tracks & Collects

Dataotuan Tracks                                      Dataotuan Collects

125 of the main Daily Deal Sites                      Number of Deals
                                                      Gross revenue Province,
                                                      City, District, Category, Sub Cat.




345 cities in Mainland China(*)                       Deals & Revenue per District
                                                      Number of “real’ active Cities/Provinces


5000 – 10000 new deals every day                      Deal Title
                                                      Price (Original, Current, Abs. And % Discount)
                                                      Number of Sold Deals
                                                      Category/Sub Category
                                                      Availability in Time
                                                      City, District, Latitude/Longitude
                                                      Weather & more




                                   *Dataotuan adds new Daily Deal websites on a regular basis based on quality and time of existence.

                                   © Dataotuan.com - blog.dataotuan.com                                                   25
Dataotuan Sells
Daily Deal websites
     Sales Tool to help Source & Re-target deals as well as explore new cities
     Daily Deal Predictor
     Competition Analysis
     City Market Entry
     SWOT of your website or the competition

Analysts and Investors
     Estimates of the Gross Revenue of the main Daily Deal websites.
     Revenue trends for the main Daily Deal websites
     Detailed market analysis for all tier cities in Mainland China.
     Detailed category analysis for provinces & 1st and 2nd tier cities
     Daily Deal Winners & Losers benchmark

Merchant Advisor:
    Select the most relevant daily deal website for your offer
    Help to decide discount & pricing etc based on Dataotuan data.



                            © Dataotuan.com - blog.dataotuan.com            26
Dataotuan New Countries Announcements – 1

     Dataotuan Singapore is out of its soft launch, see singapore.dataotuan.com
     Dataotuan Malaysia is out of its soft launch, see malaysia.dataotuan.com
     Dataotuan Philippines is out of its soft launch, see philippines.dataotuan.com
     Dataotuan Taiwan is out of its soft launch, see taiwan.dataotuan.com
     Dataotuan Australia is in soft launch, see australia.dataotuan.com
     Dataotuan New Zealand is in soft launch, see newzealand.dataotuan.com

    Dataotuan offers from now on also the sales & data products for

    Singapore, Malaysia, The Philippines, Taiwan, Australia & NZ

    Indonesia, Middle East & HK will be data ready soon.

    If you like Dataotuan to track a specific country, please contact us


                                 © Dataotuan.com - blog.dataotuan.com             27
Dataotuan Map Announcements – 2
 Dataotuan has Customizable Deal Maps for each Country




                           © Dataotuan.com - blog.dataotuan.com   28
Dataotuan Mobile Announcements – 3
 Dataotuan has Mobile, location aware HTML5 websites for each Country




                            © Dataotuan.com - blog.dataotuan.com         29
Contact Dataotuan

 We’re happy to help you, please contact us at:

        Chinese +86 13761796676                           Email: wenli@dataotuan.com
        English +86 13801660890                           Email: gemme@dataotuan.com


        Read more on                                      blog.dataotuan.com
        Follow us on                                      twitter.com/dataotuan
                                                          weibo.com/dataotuan
        Subscribe to our Reports                          reports@dataotuan.com


 The objective of this report is to offer insights into the Chinese Daily Deal industry.

 Data are collected from the main Chinese deal websites and offer a reliable indication of the Chinese daily deal market

 The daily deal websites that unfortunately are not included due to not providing correct data access (api)is groupon.cn.

 QQ changed its business mode.It’s not a daily deal site anymore.So Dataotuan excluded QQ's data from 2011 Sep.

 Please contact us if you have any questions/remarks related to this report.




                                               © Dataotuan.com - blog.dataotuan.com                                    30

More Related Content

What's hot

whirlpool Annual Report2005
whirlpool Annual Report2005whirlpool Annual Report2005
whirlpool Annual Report2005finance13
 
Arvinmeritor2001 Annua lReport
Arvinmeritor2001 Annua lReportArvinmeritor2001 Annua lReport
Arvinmeritor2001 Annua lReportfinance27
 
CVS Caremark 1998 Annual Report
CVS Caremark 1998 Annual ReportCVS Caremark 1998 Annual Report
CVS Caremark 1998 Annual Reportfinance3
 
Toronto real estate statistics january 2011
Toronto real estate statistics january 2011Toronto real estate statistics january 2011
Toronto real estate statistics january 2011John Helfrich
 
Annual Report Bdc
Annual Report BdcAnnual Report Bdc
Annual Report Bdcgineva
 
October 2009 Edition: Toronto Real Estate Market Views
October 2009 Edition: Toronto Real Estate Market ViewsOctober 2009 Edition: Toronto Real Estate Market Views
October 2009 Edition: Toronto Real Estate Market ViewsMagda Mo
 
owens & minor Owens&Minor2007AR
owens & minor  Owens&Minor2007ARowens & minor  Owens&Minor2007AR
owens & minor Owens&Minor2007ARfinance33
 
Multiplus - Earnings Presentation 1Q11
Multiplus - Earnings Presentation 1Q11 Multiplus - Earnings Presentation 1Q11
Multiplus - Earnings Presentation 1Q11 Multiplus
 
The Re-targeting deals phenomenon- Chinese Daily Deal Market June
The Re-targeting deals phenomenon- Chinese Daily Deal Market June The Re-targeting deals phenomenon- Chinese Daily Deal Market June
The Re-targeting deals phenomenon- Chinese Daily Deal Market June dataotuan
 
4 Q07 Results Presentation
4 Q07 Results Presentation4 Q07 Results Presentation
4 Q07 Results PresentationLocaliza
 
AMR Annual Report 1998
AMR Annual Report 1998AMR Annual Report 1998
AMR Annual Report 1998finance11
 

What's hot (12)

whirlpool Annual Report2005
whirlpool Annual Report2005whirlpool Annual Report2005
whirlpool Annual Report2005
 
Arvinmeritor2001 Annua lReport
Arvinmeritor2001 Annua lReportArvinmeritor2001 Annua lReport
Arvinmeritor2001 Annua lReport
 
CVS Caremark 1998 Annual Report
CVS Caremark 1998 Annual ReportCVS Caremark 1998 Annual Report
CVS Caremark 1998 Annual Report
 
Toronto real estate statistics january 2011
Toronto real estate statistics january 2011Toronto real estate statistics january 2011
Toronto real estate statistics january 2011
 
Annual Report Bdc
Annual Report BdcAnnual Report Bdc
Annual Report Bdc
 
October 2009 Edition: Toronto Real Estate Market Views
October 2009 Edition: Toronto Real Estate Market ViewsOctober 2009 Edition: Toronto Real Estate Market Views
October 2009 Edition: Toronto Real Estate Market Views
 
owens & minor Owens&Minor2007AR
owens & minor  Owens&Minor2007ARowens & minor  Owens&Minor2007AR
owens & minor Owens&Minor2007AR
 
Multiplus - Earnings Presentation 1Q11
Multiplus - Earnings Presentation 1Q11 Multiplus - Earnings Presentation 1Q11
Multiplus - Earnings Presentation 1Q11
 
The Re-targeting deals phenomenon- Chinese Daily Deal Market June
The Re-targeting deals phenomenon- Chinese Daily Deal Market June The Re-targeting deals phenomenon- Chinese Daily Deal Market June
The Re-targeting deals phenomenon- Chinese Daily Deal Market June
 
Mw1011
Mw1011Mw1011
Mw1011
 
4 Q07 Results Presentation
4 Q07 Results Presentation4 Q07 Results Presentation
4 Q07 Results Presentation
 
AMR Annual Report 1998
AMR Annual Report 1998AMR Annual Report 1998
AMR Annual Report 1998
 

Viewers also liked

FAM The Basics 13 Feb08
FAM The Basics 13 Feb08FAM The Basics 13 Feb08
FAM The Basics 13 Feb08Mike Moran
 
Ученическое самоуправление
Ученическое самоуправлениеУченическое самоуправление
Ученическое самоуправлениеlicey1568
 
Heidegger, martín ser y tiempo
Heidegger, martín   ser y tiempoHeidegger, martín   ser y tiempo
Heidegger, martín ser y tiempomanual comic
 
Vipin kumar portfolio
Vipin kumar   portfolioVipin kumar   portfolio
Vipin kumar portfoliodiptirathod
 
Xabier's & aitor's crazy restaurant (2)
Xabier's & aitor's crazy restaurant (2)Xabier's & aitor's crazy restaurant (2)
Xabier's & aitor's crazy restaurant (2)inmairakasle
 
O voleibol - Elena - Raquel - Michael - 5ºA
O voleibol - Elena - Raquel - Michael - 5ºAO voleibol - Elena - Raquel - Michael - 5ºA
O voleibol - Elena - Raquel - Michael - 5ºANeodimio Praseodimio
 
The Analysis of the Distribution Mode of Rookie Network
The Analysis of the Distribution Mode of Rookie NetworkThe Analysis of the Distribution Mode of Rookie Network
The Analysis of the Distribution Mode of Rookie NetworkAM Publications,India
 
Acesso Aberto a publicações e dados: requisitos dos financiadores de ciência ...
Acesso Aberto a publicações e dados: requisitos dos financiadores de ciência ...Acesso Aberto a publicações e dados: requisitos dos financiadores de ciência ...
Acesso Aberto a publicações e dados: requisitos dos financiadores de ciência ...Pedro Príncipe
 

Viewers also liked (10)

FAM The Basics 13 Feb08
FAM The Basics 13 Feb08FAM The Basics 13 Feb08
FAM The Basics 13 Feb08
 
Dengue
DengueDengue
Dengue
 
Pertemuan 3 & 4
Pertemuan 3 & 4Pertemuan 3 & 4
Pertemuan 3 & 4
 
Ученическое самоуправление
Ученическое самоуправлениеУченическое самоуправление
Ученическое самоуправление
 
Heidegger, martín ser y tiempo
Heidegger, martín   ser y tiempoHeidegger, martín   ser y tiempo
Heidegger, martín ser y tiempo
 
Vipin kumar portfolio
Vipin kumar   portfolioVipin kumar   portfolio
Vipin kumar portfolio
 
Xabier's & aitor's crazy restaurant (2)
Xabier's & aitor's crazy restaurant (2)Xabier's & aitor's crazy restaurant (2)
Xabier's & aitor's crazy restaurant (2)
 
O voleibol - Elena - Raquel - Michael - 5ºA
O voleibol - Elena - Raquel - Michael - 5ºAO voleibol - Elena - Raquel - Michael - 5ºA
O voleibol - Elena - Raquel - Michael - 5ºA
 
The Analysis of the Distribution Mode of Rookie Network
The Analysis of the Distribution Mode of Rookie NetworkThe Analysis of the Distribution Mode of Rookie Network
The Analysis of the Distribution Mode of Rookie Network
 
Acesso Aberto a publicações e dados: requisitos dos financiadores de ciência ...
Acesso Aberto a publicações e dados: requisitos dos financiadores de ciência ...Acesso Aberto a publicações e dados: requisitos dos financiadores de ciência ...
Acesso Aberto a publicações e dados: requisitos dos financiadores de ciência ...
 

Similar to Dataotuan special-report-on-movie-deals

Progressive 2008-AR no Art
Progressive 2008-AR  no ArtProgressive 2008-AR  no Art
Progressive 2008-AR no Artfinance18
 
Progressive 2008-AR no Art
Progressive 2008-AR no ArtProgressive 2008-AR no Art
Progressive 2008-AR no Artfinance18
 
Daily Deal Industry in China Q3, 2012 inc. Travel Special
Daily Deal Industry in China Q3, 2012 inc. Travel Special Daily Deal Industry in China Q3, 2012 inc. Travel Special
Daily Deal Industry in China Q3, 2012 inc. Travel Special dataotuan
 
The Chinese Daily Deal Market in October 2011 - Warm Deals & Shanghai's Quali...
The Chinese Daily Deal Market in October 2011 - Warm Deals & Shanghai's Quali...The Chinese Daily Deal Market in October 2011 - Warm Deals & Shanghai's Quali...
The Chinese Daily Deal Market in October 2011 - Warm Deals & Shanghai's Quali...dataotuan
 
The Chinese Daily Deal Market in Q2 2012
The Chinese Daily Deal Market in Q2 2012 The Chinese Daily Deal Market in Q2 2012
The Chinese Daily Deal Market in Q2 2012 dataotuan
 
The Chinese Daily Deal Market in December 2011, Special - 2011 overview China...
The Chinese Daily Deal Market in December 2011, Special - 2011 overview China...The Chinese Daily Deal Market in December 2011, Special - 2011 overview China...
The Chinese Daily Deal Market in December 2011, Special - 2011 overview China...dataotuan
 
The Chinese Daily Deal Market in November 2011, Special - Meituan and Chengdu...
The Chinese Daily Deal Market in November 2011, Special - Meituan and Chengdu...The Chinese Daily Deal Market in November 2011, Special - Meituan and Chengdu...
The Chinese Daily Deal Market in November 2011, Special - Meituan and Chengdu...dataotuan
 
Gaopeng gets into top 10 by revenue; QQtuan becomes a sales platform.
Gaopeng gets into top 10 by revenue; QQtuan becomes a sales platform.  Gaopeng gets into top 10 by revenue; QQtuan becomes a sales platform.
Gaopeng gets into top 10 by revenue; QQtuan becomes a sales platform. dataotuan
 
Progressive 1Q 05 QSR
Progressive 1Q 05 QSRProgressive 1Q 05 QSR
Progressive 1Q 05 QSRfinance18
 
Progressive 1Q 05 QSR
Progressive 1Q 05 QSRProgressive 1Q 05 QSR
Progressive 1Q 05 QSRfinance18
 
The Chinese Daily Deal Market in July - Failed Deals Analytics
The Chinese Daily Deal Market in July - Failed Deals Analytics The Chinese Daily Deal Market in July - Failed Deals Analytics
The Chinese Daily Deal Market in July - Failed Deals Analytics dataotuan
 
CFA Institute Research Challenge
CFA Institute Research ChallengeCFA Institute Research Challenge
CFA Institute Research Challengetylertclayton
 
Progressive-3Q06QSR
Progressive-3Q06QSRProgressive-3Q06QSR
Progressive-3Q06QSRfinance18
 
Progressive-3Q06QSR
Progressive-3Q06QSRProgressive-3Q06QSR
Progressive-3Q06QSRfinance18
 
The Chinese Daily Deal Market in January 2012, Special - Top Subcategories by...
The Chinese Daily Deal Market in January 2012, Special - Top Subcategories by...The Chinese Daily Deal Market in January 2012, Special - Top Subcategories by...
The Chinese Daily Deal Market in January 2012, Special - Top Subcategories by...dataotuan
 
Portfolio Recover Assoc (PRAA) Pitch (Oct 2011)
Portfolio Recover Assoc (PRAA) Pitch (Oct 2011)Portfolio Recover Assoc (PRAA) Pitch (Oct 2011)
Portfolio Recover Assoc (PRAA) Pitch (Oct 2011)Chris Hemmelgarn
 
Progressive-2Q 06 QSR
Progressive-2Q 06 QSRProgressive-2Q 06 QSR
Progressive-2Q 06 QSRfinance18
 
Progressive-2Q 06 QSR
Progressive-2Q 06 QSRProgressive-2Q 06 QSR
Progressive-2Q 06 QSRfinance18
 
Flevy.com - LBO Model Template
Flevy.com - LBO Model TemplateFlevy.com - LBO Model Template
Flevy.com - LBO Model TemplateDavid Tracy
 
Progressive 3Q 05 QSR
Progressive 3Q 05 QSRProgressive 3Q 05 QSR
Progressive 3Q 05 QSRfinance18
 

Similar to Dataotuan special-report-on-movie-deals (20)

Progressive 2008-AR no Art
Progressive 2008-AR  no ArtProgressive 2008-AR  no Art
Progressive 2008-AR no Art
 
Progressive 2008-AR no Art
Progressive 2008-AR no ArtProgressive 2008-AR no Art
Progressive 2008-AR no Art
 
Daily Deal Industry in China Q3, 2012 inc. Travel Special
Daily Deal Industry in China Q3, 2012 inc. Travel Special Daily Deal Industry in China Q3, 2012 inc. Travel Special
Daily Deal Industry in China Q3, 2012 inc. Travel Special
 
The Chinese Daily Deal Market in October 2011 - Warm Deals & Shanghai's Quali...
The Chinese Daily Deal Market in October 2011 - Warm Deals & Shanghai's Quali...The Chinese Daily Deal Market in October 2011 - Warm Deals & Shanghai's Quali...
The Chinese Daily Deal Market in October 2011 - Warm Deals & Shanghai's Quali...
 
The Chinese Daily Deal Market in Q2 2012
The Chinese Daily Deal Market in Q2 2012 The Chinese Daily Deal Market in Q2 2012
The Chinese Daily Deal Market in Q2 2012
 
The Chinese Daily Deal Market in December 2011, Special - 2011 overview China...
The Chinese Daily Deal Market in December 2011, Special - 2011 overview China...The Chinese Daily Deal Market in December 2011, Special - 2011 overview China...
The Chinese Daily Deal Market in December 2011, Special - 2011 overview China...
 
The Chinese Daily Deal Market in November 2011, Special - Meituan and Chengdu...
The Chinese Daily Deal Market in November 2011, Special - Meituan and Chengdu...The Chinese Daily Deal Market in November 2011, Special - Meituan and Chengdu...
The Chinese Daily Deal Market in November 2011, Special - Meituan and Chengdu...
 
Gaopeng gets into top 10 by revenue; QQtuan becomes a sales platform.
Gaopeng gets into top 10 by revenue; QQtuan becomes a sales platform.  Gaopeng gets into top 10 by revenue; QQtuan becomes a sales platform.
Gaopeng gets into top 10 by revenue; QQtuan becomes a sales platform.
 
Progressive 1Q 05 QSR
Progressive 1Q 05 QSRProgressive 1Q 05 QSR
Progressive 1Q 05 QSR
 
Progressive 1Q 05 QSR
Progressive 1Q 05 QSRProgressive 1Q 05 QSR
Progressive 1Q 05 QSR
 
The Chinese Daily Deal Market in July - Failed Deals Analytics
The Chinese Daily Deal Market in July - Failed Deals Analytics The Chinese Daily Deal Market in July - Failed Deals Analytics
The Chinese Daily Deal Market in July - Failed Deals Analytics
 
CFA Institute Research Challenge
CFA Institute Research ChallengeCFA Institute Research Challenge
CFA Institute Research Challenge
 
Progressive-3Q06QSR
Progressive-3Q06QSRProgressive-3Q06QSR
Progressive-3Q06QSR
 
Progressive-3Q06QSR
Progressive-3Q06QSRProgressive-3Q06QSR
Progressive-3Q06QSR
 
The Chinese Daily Deal Market in January 2012, Special - Top Subcategories by...
The Chinese Daily Deal Market in January 2012, Special - Top Subcategories by...The Chinese Daily Deal Market in January 2012, Special - Top Subcategories by...
The Chinese Daily Deal Market in January 2012, Special - Top Subcategories by...
 
Portfolio Recover Assoc (PRAA) Pitch (Oct 2011)
Portfolio Recover Assoc (PRAA) Pitch (Oct 2011)Portfolio Recover Assoc (PRAA) Pitch (Oct 2011)
Portfolio Recover Assoc (PRAA) Pitch (Oct 2011)
 
Progressive-2Q 06 QSR
Progressive-2Q 06 QSRProgressive-2Q 06 QSR
Progressive-2Q 06 QSR
 
Progressive-2Q 06 QSR
Progressive-2Q 06 QSRProgressive-2Q 06 QSR
Progressive-2Q 06 QSR
 
Flevy.com - LBO Model Template
Flevy.com - LBO Model TemplateFlevy.com - LBO Model Template
Flevy.com - LBO Model Template
 
Progressive 3Q 05 QSR
Progressive 3Q 05 QSRProgressive 3Q 05 QSR
Progressive 3Q 05 QSR
 

More from dataotuan

2013 q1-the-china-daily-deal-market-report-en
2013 q1-the-china-daily-deal-market-report-en2013 q1-the-china-daily-deal-market-report-en
2013 q1-the-china-daily-deal-market-report-endataotuan
 
2012 China Daily Deal Market Report
2012 China Daily Deal Market Report2012 China Daily Deal Market Report
2012 China Daily Deal Market Reportdataotuan
 
2012年中国团购市场分析报告
2012年中国团购市场分析报告2012年中国团购市场分析报告
2012年中国团购市场分析报告dataotuan
 
Chinese-daily-deals-a-market-analysis-q2-2012-zh
Chinese-daily-deals-a-market-analysis-q2-2012-zh Chinese-daily-deals-a-market-analysis-q2-2012-zh
Chinese-daily-deals-a-market-analysis-q2-2012-zh dataotuan
 
China Daily Deal Customer Satisfaction Survey 2012 Q2
China Daily Deal Customer Satisfaction Survey 2012 Q2China Daily Deal Customer Satisfaction Survey 2012 Q2
China Daily Deal Customer Satisfaction Survey 2012 Q2dataotuan
 
Chinese-daily-deals-a-market-analysis-apr-2012-zh
Chinese-daily-deals-a-market-analysis-apr-2012-zhChinese-daily-deals-a-market-analysis-apr-2012-zh
Chinese-daily-deals-a-market-analysis-apr-2012-zhdataotuan
 
The Chinese Daily Deal Market in 2012 Q1
The Chinese Daily Deal Market in 2012 Q1The Chinese Daily Deal Market in 2012 Q1
The Chinese Daily Deal Market in 2012 Q1dataotuan
 
Chinese daily-deals-a-market-analysis-q1-2012-zh
Chinese daily-deals-a-market-analysis-q1-2012-zhChinese daily-deals-a-market-analysis-q1-2012-zh
Chinese daily-deals-a-market-analysis-q1-2012-zhdataotuan
 
China Local Commerce (Daily Deals) Aanalytics - Dataotuan Sales Presentation
China Local Commerce (Daily Deals) Aanalytics - Dataotuan Sales PresentationChina Local Commerce (Daily Deals) Aanalytics - Dataotuan Sales Presentation
China Local Commerce (Daily Deals) Aanalytics - Dataotuan Sales Presentationdataotuan
 
The Chinese Daily Deal Market in February 2012
The Chinese Daily Deal Market in February 2012 The Chinese Daily Deal Market in February 2012
The Chinese Daily Deal Market in February 2012 dataotuan
 
2012年2月中国团购市场观察
2012年2月中国团购市场观察 2012年2月中国团购市场观察
2012年2月中国团购市场观察 dataotuan
 
解析电影团购 – 中国特色的团购盛景
解析电影团购 – 中国特色的团购盛景解析电影团购 – 中国特色的团购盛景
解析电影团购 – 中国特色的团购盛景dataotuan
 
2012年1月团购市场观察:特别视角——中国不同地区最热卖子分类排行
2012年1月团购市场观察:特别视角——中国不同地区最热卖子分类排行2012年1月团购市场观察:特别视角——中国不同地区最热卖子分类排行
2012年1月团购市场观察:特别视角——中国不同地区最热卖子分类排行dataotuan
 
2012年12月团购市场观察:特别视角——2011中国团购市场回望及东南亚团购市场浅析
2012年12月团购市场观察:特别视角——2011中国团购市场回望及东南亚团购市场浅析2012年12月团购市场观察:特别视角——2011中国团购市场回望及东南亚团购市场浅析
2012年12月团购市场观察:特别视角——2011中国团购市场回望及东南亚团购市场浅析dataotuan
 
2011年11月份团购市场观察:特别视角——美团解析及成都美食团购分析
2011年11月份团购市场观察:特别视角——美团解析及成都美食团购分析2011年11月份团购市场观察:特别视角——美团解析及成都美食团购分析
2011年11月份团购市场观察:特别视角——美团解析及成都美食团购分析dataotuan
 
2011年11月团购市场观察:特别视角——美团解析及成都美食团购分析
2011年11月团购市场观察:特别视角——美团解析及成都美食团购分析2011年11月团购市场观察:特别视角——美团解析及成都美食团购分析
2011年11月团购市场观察:特别视角——美团解析及成都美食团购分析dataotuan
 
2011年10月团购市场观察:时令团购温暖登场 上海质优北京量胜
2011年10月团购市场观察:时令团购温暖登场 上海质优北京量胜2011年10月团购市场观察:时令团购温暖登场 上海质优北京量胜
2011年10月团购市场观察:时令团购温暖登场 上海质优北京量胜dataotuan
 
2011年九月团购市场观察:高朋首次跻身前十,QQ团在转型
2011年九月团购市场观察:高朋首次跻身前十,QQ团在转型 2011年九月团购市场观察:高朋首次跻身前十,QQ团在转型
2011年九月团购市场观察:高朋首次跻身前十,QQ团在转型 dataotuan
 
The Chinese Daily Deal Market in August - Quantity or Quality?
The Chinese Daily Deal Market in August - Quantity or Quality?The Chinese Daily Deal Market in August - Quantity or Quality?
The Chinese Daily Deal Market in August - Quantity or Quality?dataotuan
 
2011年八月团购市场观察:规模还是质量,这是一个问题。
2011年八月团购市场观察:规模还是质量,这是一个问题。 2011年八月团购市场观察:规模还是质量,这是一个问题。
2011年八月团购市场观察:规模还是质量,这是一个问题。 dataotuan
 

More from dataotuan (20)

2013 q1-the-china-daily-deal-market-report-en
2013 q1-the-china-daily-deal-market-report-en2013 q1-the-china-daily-deal-market-report-en
2013 q1-the-china-daily-deal-market-report-en
 
2012 China Daily Deal Market Report
2012 China Daily Deal Market Report2012 China Daily Deal Market Report
2012 China Daily Deal Market Report
 
2012年中国团购市场分析报告
2012年中国团购市场分析报告2012年中国团购市场分析报告
2012年中国团购市场分析报告
 
Chinese-daily-deals-a-market-analysis-q2-2012-zh
Chinese-daily-deals-a-market-analysis-q2-2012-zh Chinese-daily-deals-a-market-analysis-q2-2012-zh
Chinese-daily-deals-a-market-analysis-q2-2012-zh
 
China Daily Deal Customer Satisfaction Survey 2012 Q2
China Daily Deal Customer Satisfaction Survey 2012 Q2China Daily Deal Customer Satisfaction Survey 2012 Q2
China Daily Deal Customer Satisfaction Survey 2012 Q2
 
Chinese-daily-deals-a-market-analysis-apr-2012-zh
Chinese-daily-deals-a-market-analysis-apr-2012-zhChinese-daily-deals-a-market-analysis-apr-2012-zh
Chinese-daily-deals-a-market-analysis-apr-2012-zh
 
The Chinese Daily Deal Market in 2012 Q1
The Chinese Daily Deal Market in 2012 Q1The Chinese Daily Deal Market in 2012 Q1
The Chinese Daily Deal Market in 2012 Q1
 
Chinese daily-deals-a-market-analysis-q1-2012-zh
Chinese daily-deals-a-market-analysis-q1-2012-zhChinese daily-deals-a-market-analysis-q1-2012-zh
Chinese daily-deals-a-market-analysis-q1-2012-zh
 
China Local Commerce (Daily Deals) Aanalytics - Dataotuan Sales Presentation
China Local Commerce (Daily Deals) Aanalytics - Dataotuan Sales PresentationChina Local Commerce (Daily Deals) Aanalytics - Dataotuan Sales Presentation
China Local Commerce (Daily Deals) Aanalytics - Dataotuan Sales Presentation
 
The Chinese Daily Deal Market in February 2012
The Chinese Daily Deal Market in February 2012 The Chinese Daily Deal Market in February 2012
The Chinese Daily Deal Market in February 2012
 
2012年2月中国团购市场观察
2012年2月中国团购市场观察 2012年2月中国团购市场观察
2012年2月中国团购市场观察
 
解析电影团购 – 中国特色的团购盛景
解析电影团购 – 中国特色的团购盛景解析电影团购 – 中国特色的团购盛景
解析电影团购 – 中国特色的团购盛景
 
2012年1月团购市场观察:特别视角——中国不同地区最热卖子分类排行
2012年1月团购市场观察:特别视角——中国不同地区最热卖子分类排行2012年1月团购市场观察:特别视角——中国不同地区最热卖子分类排行
2012年1月团购市场观察:特别视角——中国不同地区最热卖子分类排行
 
2012年12月团购市场观察:特别视角——2011中国团购市场回望及东南亚团购市场浅析
2012年12月团购市场观察:特别视角——2011中国团购市场回望及东南亚团购市场浅析2012年12月团购市场观察:特别视角——2011中国团购市场回望及东南亚团购市场浅析
2012年12月团购市场观察:特别视角——2011中国团购市场回望及东南亚团购市场浅析
 
2011年11月份团购市场观察:特别视角——美团解析及成都美食团购分析
2011年11月份团购市场观察:特别视角——美团解析及成都美食团购分析2011年11月份团购市场观察:特别视角——美团解析及成都美食团购分析
2011年11月份团购市场观察:特别视角——美团解析及成都美食团购分析
 
2011年11月团购市场观察:特别视角——美团解析及成都美食团购分析
2011年11月团购市场观察:特别视角——美团解析及成都美食团购分析2011年11月团购市场观察:特别视角——美团解析及成都美食团购分析
2011年11月团购市场观察:特别视角——美团解析及成都美食团购分析
 
2011年10月团购市场观察:时令团购温暖登场 上海质优北京量胜
2011年10月团购市场观察:时令团购温暖登场 上海质优北京量胜2011年10月团购市场观察:时令团购温暖登场 上海质优北京量胜
2011年10月团购市场观察:时令团购温暖登场 上海质优北京量胜
 
2011年九月团购市场观察:高朋首次跻身前十,QQ团在转型
2011年九月团购市场观察:高朋首次跻身前十,QQ团在转型 2011年九月团购市场观察:高朋首次跻身前十,QQ团在转型
2011年九月团购市场观察:高朋首次跻身前十,QQ团在转型
 
The Chinese Daily Deal Market in August - Quantity or Quality?
The Chinese Daily Deal Market in August - Quantity or Quality?The Chinese Daily Deal Market in August - Quantity or Quality?
The Chinese Daily Deal Market in August - Quantity or Quality?
 
2011年八月团购市场观察:规模还是质量,这是一个问题。
2011年八月团购市场观察:规模还是质量,这是一个问题。 2011年八月团购市场观察:规模还是质量,这是一个问题。
2011年八月团购市场观察:规模还是质量,这是一个问题。
 

Recently uploaded

Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAndikSusilo4
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 

Recently uploaded (20)

Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & Application
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 

Dataotuan special-report-on-movie-deals

  • 1. Movie Daily Deals – The Revenue Differentiator How movies influence revenues, rankings & maybe even national ticket sales Dataotuan.com Published: Mar. 6, 2012
  • 2. Table of Contents  The Intro  Movie Deal Vendors  Movie Deal Structure  The Trend  January 2012 Stats  Geographics  Sites Ranking With or Without  The Making of a Movie Deal  Summary  About Dataotuan  Contact © Dataotuan.com - blog.dataotuan.com 2
  • 3. Movie Deals – The Intro Movies are a recurring event in the Chinese daily deal universe. From the moment Dataotuan started tracking deals they have always been one of the 3 biggest subcategories in the top deals overview. In January 2012 alone, movie deals accounted for 13.4% of the total deal revenue. The new year seemed a good moment to dig deeper and find the story to what makes movie deals so popular and on the face of it so lucrative to Deal websites. The report will start with providing insights in the cooperation models as well as how deals are structured. Next on the list will be looking deeper into the data we retrieved and analyzed, followed by a real life example of a movie deal by Meituan as well as “ The Making of a 55tuan Movie Deal” Lastly we will put the movie deal in an Asian perspective. © Dataotuan.com - blog.dataotuan.com 3
  • 4. Movie Deals – The Vendors  There are two kind of vendors for Movie deals :  Deal sites cooperate with a specific cinema. Consumers can use the coupons in the Cinema. (such as Wanda Cinemas, Stellar International Cineplex, etc.);  Deal sites cooperate with a ticket website. Consumers can book online to watch a movie in different cinemas. (such as himovie.net, spider.com.cn, etc.) © Dataotuan.com - blog.dataotuan.com 4
  • 5. Movie Deals – The Structure  There are several ways that Movie deals are structured  Deal sites pre-buy tickets from a cinema which they resell as a deal.  Deal sites guarantee a minimum number of sales, and sell the tickets at the agreed price.  Deal sites guarantee a minimum number of sales, and sell the tickets at the price above the agreed price to keep some margin.  Deal sites sell the movie tickets as they sell the other service deals, and pay according to the nr. sold to the cinema in the beginning, middle and end of the valid time that users can redeem the deal. Each deal is structured differently as it will depend on who holds the leverage. Depending on the leverage, a deal site may keep some margin, charge some service fee or what happens often, work for free and very likely spend money to get and promote a movie deal as it’s a good way to acquire new users and reconnect with existing users. A sign that Movie deals may often be loss leaders is that the deal websites don’t pay kickbacks for referrals on these deals. © Dataotuan.com - blog.dataotuan.com 5
  • 6. Movie Deals – The Trends 1  The number of movie deals has been around 2% of the total deals launched.  The percentages of the total deal revenue and nr. sold has always been high with peaks during holiday seasons.  Since June 2011 the revenue % of movie deals among the total has been hovering between 4.7% to 13.4%. % of Movie Deals among Total 15.8% 12.0% 11.0% 9.3% 13.4% 8.3% 8.1% 6.0% 8.2% 5.5% 6.7% 5.2% 5.1% 4.7% 2.2% 2.1% 2.3% 2.2% 2.0% 1.9% 2.2% Jun.2011 Aug.2011 Sep.2011 Oct.2011 Nov.2011 Dec.2011 Jan.2012 % Revenue % Nr.Sold % Nr.Deals © Dataotuan.com - blog.dataotuan.com 6
  • 7. Movie Deals – The Trends 2  The absolute number of average Nr. Sold and Revenue of movie deals changed depending on the seasons with the Summer Holiday and New Year’s Holiday standing out. Nr. Sold & Revenue of Movie Deals 80,166 71,733 51,174 38,851 30,664 29,625 23,418 2,981 2,783 1,937 1,663 1,408 1,052 1,164 Jun.2011 Aug.2011 Sep.2011 Oct.2011 Nov.2011 Dec.2011 Jan.2012 Avg.Nr.Sold Avg. Revenue (Rmb) © Dataotuan.com - blog.dataotuan.com 7
  • 8. Movie Deals – January 2012 Stats  In January 2012, Movie deals accounted for 13.4% of the total revenue.  The average unit price of a Movie deal was only a low 33.3 Rmb in January, considering the average deal price was 142.1 Rmb.  The average Nr. Sold and Revenue per Movie deal is high. They are 7-8 x more than the respective Nr. Sold and Revenue Averages. Comparison of Movie Deals and Total Revenue Share of Movie Deals 71,773 Others, Shopping, 3.9% 18.4% Dining, 33.1% 7x 2,783 Life, 12.6% 8x 10,685 Leisure- Leisure- 350 Others, Movie, 18.6% 13.4% Average Nr. Sold/Deal Average Revenue(RMB) Movie Total © Dataotuan.com - blog.dataotuan.com 8
  • 9. Movie Deals – Regions ¥ 108.8 9399 ¥ 130.4 4,049 ¥ 147.3 15,314 ¥ 147 35,634 ¥ 174.4 ¥ 116.4 6,869 10,372 Leisure-Movie Dining-Hotpot/BBQ Leisure-Travel ¥ 179 13,993 Life-Photograph • Average Price of Local Deals © Dataotuan.com - blog.dataotuan.com 9 • Nr. of Local Deals
  • 10. Movie Deals – City Stats  Beijing is the best place to find a movie deal. More deals are launched there than in any other Tier 1 cities, though on the whole the % of Movie deals revenue among total revenue in BJ is low.  Among the tier 2 cities, movie deals in Fuzhou take the highest percentage among the total revenue, and Hangzhou the lowest. Movie Deals in Tier 1 & Tier 2 Cities Nr. Sold / Average % among % among Nr. Deals Nr. Sold Deal Revenue Total Deals Total Revenue Beijing 334 421,451 1,262 35,052.1 3.9% 7.5% Shanghai 207 546,760 2,641 90,581.9 3.6% 12.2% Guangzhou 92 331,740 3,606 108,112.3 2.0% 13.8% Shenzhen 75 315,495 4,207 119,828.1 2.0% 14.8% Wuhan 122 402,297 3,323 82,848.8 4.0% 19.4% Fuzhou 40 234,975 5,876 149,668.4 1.7% 20.7% Hangzhou 29 28,774 993 32,815.8 1.2% 2.8% Chengdu 135 203,932 1,511 34,253.4 4.0% 9.6% Total 2,698 7,150,519 2,783 71,733.2 2.2% 13.4% © Dataotuan.com - blog.dataotuan.com 10
  • 11. Movie Deals – Sites Ranking With or Without  Movie deals play a big role in total revenues, just in January Meituan’s Movie revenue was at 19.3%, followed by Nuomi (17.9% ) and Didatuan (14.5%).  Ranking the Deal Sites on Revenue without movie deals has an effect as well. Revenue Ranking of Deal Sites inc. & exc. Movie Deals Total Revenue Ranking exclude Movie % among Deal Sites Name Ranking movie revenue Total Revenue 1 1 Meituan 19.3% 2 2 55tuan 10.1% 3 3 Lashou 3.9% 4 5 Dianping 11.2% 5 4 58tuan 3.5% 6 6 Nuomi 17.9% 7 7 Ftuan 3.8% 8 8 Juhuasuan 1.0% 9 9 Manzuo 13.0% 10 12 Didatuan 14.5% © Dataotuan.com - blog.dataotuan.com 11
  • 12. Movie Deals – Meituan’ Record & Contribution  In January, Meituan launched a super movie deal. Revenue of this single deal was over 13 million rmb. More than 530,000 people bought this deal.  Meituan has always been active on movie deals. According to the PR director of Meituan, Meituan has contributed 1% to the total box office in China in 2011. © Dataotuan.com - blog.dataotuan.com 12
  • 13. Movie Deals – 55tuan vs Meituan  In mid-January, 55tuan launched a movie deal, covering 35 cities, staying online for more than one month.  It seems that 55tuan has made a lot of effort to set a revenue record for a movie deal and beat Meituan. © Dataotuan.com - blog.dataotuan.com 13
  • 14. The Making of a Movie Deal 1. A Time Machine 2. Some Magic Math 3. And Money No sex though....... © Dataotuan.com - blog.dataotuan.com 14
  • 15. The Making of a Movie Deal - Extend Step 1: Extend the Deal time 55tuan extended the online time of this deal several times It has to be noted that this is standard practice and most deal websites apply this method to get more buyers Screenshot on 10/02/2012 Screenshot by 17/02/2012 Screenshot by 16/02/2012 © Dataotuan.com - blog.dataotuan.com 15
  • 16. The Making of a Movie Deal - Math Step 2: Display Total Sales as Per City Sales. The impression is given that the deal is extremely popular in each city, even though the actual sales per city are much lower. National Nr. Sold showed on each City Page © Dataotuan.com - blog.dataotuan.com 16
  • 17. The Making of a Movie Deal - Price Step 3: Offering the deal cheaper than it is. In 7 cities, out of all the 35 cities, users have to pay an extra 5 or 10 Rmb in the cinema. Pay 5 or 10 Rmb more when you arrive the cinema. © Dataotuan.com - blog.dataotuan.com 17
  • 18. The Result of the Movie Deal Competition Meituan 55tuan Online period 2012. 01. 09 – 01. 18 2012. 01. 16 - 02. 24 Online days 10 39 Price (Rmb) 23 / 26 / 32 26 Extra payment No Yes (in some cities) Discount (off) 62% / 67% / 73% 78% Cities covered 44 35 Total nr. sold 537,944 401,395 Total revenue 13,000,000 + 10,436,000 + (Rmb) © Dataotuan.com - blog.dataotuan.com 18
  • 19. Movie Deals - Asia  The movie % of Movie Deals among Total Revenue deals 13.4% phenomenon seems very special in China, 0.73% compared to the other 0.24% countries Dataotuan tracks. 0.28% 0.62% 0.01% 0.18% © Dataotuan.com - blog.dataotuan.com 19
  • 20. Summary – Movie Deals Phenomenon 1. Movie deals play a special role in the daily deal market in China.  In January 2012, Movie deals accounted for 13.4% of the total revenue.  The average Nr. Sold and Revenue per Movie deal are 7-8 times more than the total level.  The movie deals phenomenon seems unique to China, compared to the other countries Dataotuan tracks. 2. The movie deals are the key for the deal sites to win more market share.  Movie ticket deals have a strong effect on revenue and even on the rankings of some deal sites.  As the no.1 deal site, Meituan makes nearly 20% of its revenue from movies.  According to the PR director of Meituan, Meituan has contributed 1% to the total box office in China in 2011. 3. The making of a movie deal with Chinese characteristics.  Extending online time repeatedly to increase the sales;  Showing the total Nr. Sold on the different city pages;  Making users pay extra in the cinema. © Dataotuan.com - blog.dataotuan.com 20
  • 21. Dataotuan – Investor Tool If you have a financial interest in the Group-buying Market, you want to know:  What is the market status in general  Estimates of the Gross Revenue of the main Daily Deal websites.  Revenue trends for the main Daily Deal websites  Daily Deal Winners & Losers benchmark  Deal data including merchant, price, sold count, category, sub category  Pricing trends & Strategy  Category trends  Location trends Dataotuan can help you with the Investor Tool – Investor Analytics Contact wenli@dataotuan.com We offer: Customized reports, merchant details, raw/live data & more. © Dataotuan.com - blog.dataotuan.com 21
  • 22. Dataotuan – Sales Tools 1 (Website Analytics) If you are running a deal site, you want to know:  What is the market status in general and in a specific city  Are you doing better than the average  Should you adjust your pricing strategy according to the market trends  Should you change the products combination  Who are your competitors  How competitive are they  What is their sales strategy  What is their pricing strategy Dataotuan can help you with the Sales Tool – Deal Website Analytics Dataotuan can help you with the Sales Tool – Deal Website Analytics Contact wenli@dataotuan.com Contact wenli@dataotuan.com We offer: Customized reports, merchant details, raw data, live data and more. We offer: Customized reports, merchant details, raw/live data & more. © Dataotuan.com - blog.dataotuan.com 22
  • 23. Dataotuan – Sales Tools 2 (Merchants Analytics) If you want to enter a new city you want to know;  What kind of deals are popular in this city  Who are the good merchants  Where can you find them  What is their daily deal history  Who are your competitors  Which merchants are they cooperating with  What is their pricing strategy to generate a popular deal Dataotuan can help you with the Sales Tool – Merchants Analytics Contact wenli@dataotuan.com We offer: Customized reports, merchant details, raw/live data & more. © Dataotuan.com - blog.dataotuan.com 23
  • 24. About Dataotuan.com Dataotuan, a unique daily deal aggregator and analytics platform in China, was started with 2 goals in mind. 1. To recommend the best deals to our users based on where they are, what they like and when they want it as well as giving them tools to manage them 2. To analyze the deal data in order to find out what constitutes the best daily deal © Dataotuan.com - blog.dataotuan.com 24
  • 25. Dataotuan Tracks & Collects Dataotuan Tracks Dataotuan Collects 125 of the main Daily Deal Sites Number of Deals Gross revenue Province, City, District, Category, Sub Cat. 345 cities in Mainland China(*) Deals & Revenue per District Number of “real’ active Cities/Provinces 5000 – 10000 new deals every day Deal Title Price (Original, Current, Abs. And % Discount) Number of Sold Deals Category/Sub Category Availability in Time City, District, Latitude/Longitude Weather & more *Dataotuan adds new Daily Deal websites on a regular basis based on quality and time of existence. © Dataotuan.com - blog.dataotuan.com 25
  • 26. Dataotuan Sells Daily Deal websites  Sales Tool to help Source & Re-target deals as well as explore new cities  Daily Deal Predictor  Competition Analysis  City Market Entry  SWOT of your website or the competition Analysts and Investors  Estimates of the Gross Revenue of the main Daily Deal websites.  Revenue trends for the main Daily Deal websites  Detailed market analysis for all tier cities in Mainland China.  Detailed category analysis for provinces & 1st and 2nd tier cities  Daily Deal Winners & Losers benchmark Merchant Advisor:  Select the most relevant daily deal website for your offer  Help to decide discount & pricing etc based on Dataotuan data. © Dataotuan.com - blog.dataotuan.com 26
  • 27. Dataotuan New Countries Announcements – 1  Dataotuan Singapore is out of its soft launch, see singapore.dataotuan.com  Dataotuan Malaysia is out of its soft launch, see malaysia.dataotuan.com  Dataotuan Philippines is out of its soft launch, see philippines.dataotuan.com  Dataotuan Taiwan is out of its soft launch, see taiwan.dataotuan.com  Dataotuan Australia is in soft launch, see australia.dataotuan.com  Dataotuan New Zealand is in soft launch, see newzealand.dataotuan.com Dataotuan offers from now on also the sales & data products for Singapore, Malaysia, The Philippines, Taiwan, Australia & NZ Indonesia, Middle East & HK will be data ready soon. If you like Dataotuan to track a specific country, please contact us © Dataotuan.com - blog.dataotuan.com 27
  • 28. Dataotuan Map Announcements – 2  Dataotuan has Customizable Deal Maps for each Country © Dataotuan.com - blog.dataotuan.com 28
  • 29. Dataotuan Mobile Announcements – 3  Dataotuan has Mobile, location aware HTML5 websites for each Country © Dataotuan.com - blog.dataotuan.com 29
  • 30. Contact Dataotuan We’re happy to help you, please contact us at: Chinese +86 13761796676 Email: wenli@dataotuan.com English +86 13801660890 Email: gemme@dataotuan.com Read more on blog.dataotuan.com Follow us on twitter.com/dataotuan weibo.com/dataotuan Subscribe to our Reports reports@dataotuan.com  The objective of this report is to offer insights into the Chinese Daily Deal industry.  Data are collected from the main Chinese deal websites and offer a reliable indication of the Chinese daily deal market  The daily deal websites that unfortunately are not included due to not providing correct data access (api)is groupon.cn.  QQ changed its business mode.It’s not a daily deal site anymore.So Dataotuan excluded QQ's data from 2011 Sep.  Please contact us if you have any questions/remarks related to this report. © Dataotuan.com - blog.dataotuan.com 30