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Wcai Research Opportunity - Wharton Customer Analytics Initiative

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He Said, She Bought: Analyzing the Impact of User-Generated Reviews on Purchase Behavior A WCAI Research Opportunity sponsored by Bazaarvoice Data at a Glance: Observation Window: February & March 2015 Data are collected from a single UK-based bigbox online retailer and come from two categories: technology and home & garden • Product Information & Pageviews • • Ratings & Reviews • • text descriptions as they appear on the product page WEBINAR WILL BEGIN SHORTLY aggregate and individual ratings, full text of individual reviews Transactions • purchase channel & links to pages viewed Presentation recording and slide deck will be made available on the WCAI website by Monday, April 27th Submit your proposal by Monday, May 4, 2015. Learn more at http://wcai.wharton.upenn.edu/research KNOWLEDGE FOR ACTION He Said, She Bought: Analyzing the Impact of User-Generated Reviews on Purchase Behavior A WCAI Research Opportunity sponsored by Bazaarvoice April 24, 2015 KNOWLEDGE FOR ACTION Introductions Conrad Wredberg Director of Product Management, Bazaarvoice Chris Kramer Senior Manager, Analytics, Bazaarvoice KNOWLEDGE FOR ACTION Melissa Hartz Assistant Research Director, WCAI Colleen O’Neill Executive Director, WCAI Elea Feit Senior Fellow, WCAI 2 KNOWLEDGE FOR ACTION TRANSFORMING BUSINESS THROUGH CUSTOMER DATA 4 KNOWLEDGE FOR ACTION TRANSFORMING BUSINESS THROUGH CUSTOMER DATA 5 Data Background Ray views different models of flat-screen televisions on the retailer’s website. A B KNOWLEDGE FOR ACTION 6 We See What Customers See… Because users are tracked by cookies, we can see the full dimensions and details of each product Ray views during his visits. KNOWLEDGE FOR ACTION 7 We See What Customers See… Because users are tracked by cookies, we can see the full dimensions and details of each product Ray views during his visits. KNOWLEDGE FOR ACTION 8 We See What Customers See… If Ray scrolls down further on the page, we can see the full-text reviews, questions, and answers he is exposed to and interacts with on the product page. Overall: 5/5 Quality: 5/5 Features: 4/5 Overall: 4/5 Quality: 5/5 March 15, 2015 Lydia This product exceeds all my expectations. This is the second LG receiver we own and when we decided to change up to a flat screen it was obvious which manufacturer to use and our purchase has not disappointed. Female London, UK Pros: Performance, Easy to Use, Quality Yes, I would recommend this product. March 04, 2015 Timothy Good Looking Excellent TV, great picture and sound. Just wish it had a touch button to turn on and off Male North York Features: 4/5 Yes, I would recommend this product. KNOWLEDGE FOR ACTION product 9 We See What Customers See… If Ray scrolls down further on the page, we can see the full-text reviews and questions he was exposed to, as well as any answers he chose to view (answers must be expanded to see the text). Hide -- Q Alan March 18, 2015 Are the support legs on the TV movable? Male South Shields A March 18, 2015 No, the legs cannot be moved. KNOWLEDGE FOR ACTION Jan Female Age: 45-54 10 …and What They Buy Finally, we can see when Ray ultimately purchases a television from the retailer’s website. $249.99 KNOWLEDGE FOR ACTION 11 Data Structure Product Pageviews Transactions Leader Ratings & Reviews Observation Window: February & March 2015 KNOWLEDGE FOR ACTION 12 Data Structure Product Pageviews Transactions Leader Ratings & Reviews Observation Window: February & March 2015 KNOWLEDGE FOR ACTION 13 Product Pageviews The dataset contains details for approximately 34,000 unique products in two categories: technology and home & garden. Category 26,339 25K 20K 15K Cou Product pageview data include: - product name and ID - full description of the product - date/time the user viewed the product page - number of questions and reviews - percent of reviewers who would recommend the product at the time it was viewed by one user 10K 7,189 5K 0K Home & Garden KNOWLEDGE FOR ACTION Technology 14 Pageviews by Hour, Two Days 250K 200K 150K 100K 50K 0K Feb 1, 9 AM Feb 1, 9 PM Feb 2, 9 AM Feb 2, 9 PM Date [February 2015] KNOWLEDGE FOR ACTION 15 Num Pageviews by Minute by Product, Two Days Product ID 2398095 21633 3557976 1079078 2484428 21620 1529425 2474476 1374467 1415807 1471724 3559527 1463237 13147 3388327 1587883 9291803 2388971 3078589 2388995 , Feb 1 9 AM Feb, 1 9 PM Feb, 2 9 AM Feb ,2 9 PM Minute [February 2015] KNOWLEDGE FOR ACTION 16 Sneak Peek - Product Pageviews Note: There are ~40 columns in the pageviews table. This is not an exhaustive list of columns. KNOWLEDGE FOR ACTION 17 Data Structure Product Pageviews Transactions Leader Ratings & Reviews Observation Window: February & March 2015 KNOWLEDGE FOR ACTION 18 Data Structure Product Pageviews Transactions Leader Ratings & Reviews Observation Window: February & March 2015 KNOWLEDGE FOR ACTION 19 Ratings & Reviews In addition to numeric ratings, the dataset also contains questions & answers and full-text reviews. Additionally, we have some sense of the user’s experience with the review through features, such as flags designating if the content was visible in the browser for at least five seconds, or if the user opened a picture or video attached to a review. Ratings & reviews data include: - date and time the review was published - date and time the review was displayed to the user - numeric rating* - full text of review as it appears on the website* - whether or not the review has ever been edited - number of comments on the review* - whether or not the review is featured* *information is as of the time the content was displayed to the given user. KNOWLEDGE FOR ACTION 20 Review Impressions by Hour, Mobile vs. Non-Mobile 800K 600K 400K 200K Type Non-Mobile Mobile 0K Feb 1, 9 AM Feb 1, 9 PM Feb 2, 9 AM Feb 2, 9 PM Date [February 2015] KNOWLEDGE FOR ACTION 21 Num Review Impressions by Hour by Content Type 400K 300K 200K Content Type 100K Answer Question Review 0K Feb 1, 9 AM Feb 1, 9 PM Feb 2, 9 AM Feb 2, 9 PM Date [February 2015] KNOWLEDGE FOR ACTION 22 Num 500 Words Used Most Frequently in Reviews kids most glad see right i've keeps house who hair delivery ok fantastic buying lid find once years last overall three need fit sound no an new like loves any our change couple friend bad piece worked always where steam tried return many don't chairs inside going week white play cost strong this cannot since their whole noisy large handy smaller simple year made about 6 go tv cut though after also colour same mower fun 10 room me minutes expect him quick ideal wood each love amazing water side clear stylish takes basic wall told isn't KNOWLEDGE FOR ACTION plus got less quiet his it's hold vacuum battery wrong poor stand life too two longer through weeks hard grass floor fault car it wasn't on christmas even back perfect enough her use however put working screws far plenty perfectly how space free under broke lights must night long seems weight sure days flat hours seat work definitely looking took different replacement very 1 little old happy there own cable next away son read rather laptop extra ones end anyone furniture second looked & having present fits didn't light although powerful fine would am small reviews already toaster straight bathroom more them recommended others around camera have comfortable hand model kitchen actually seem watch iron needs refund bottom real feels says cover up can which pay such build door never clean radio bit way cheaper could down kettle full reserved screen friends feel done mattress she been because used found some looks nice doesn't without especially items ! soft certainly grandson bought :) know colours take everything picture thought want playing returned pleased other lovely for 3 from first store times item wanted set phone mirror quickly lightweight cheap ordered range exactly half service high expensive just over thing extremely daughter fast place home bargain us make had all makes bright toilet delighted microwave again every sale cant best open came order low due left fitted lamp given compact purchased look sturdy myself putting should downside purchase absolutely heavy power day say went big few husband handle features problem only than these problems expected 5 yet front round easier months your lots come short job couldn't before good brilliant machine design both highly flimsy much one value great toy help then previous bedroom worth move dont bag carry stock part bigger tent ever wish they price quality paid cleaner hoover try another has at hot customer children lot people buy together reasonable chair comes think excellent really impressed difficult being getting well easy disappointed line instructions needed 4 easily case online did anything etc assemble can't pretty something product wouldn't it! able were by money does works kept decided birthday size now quite solid into suction replace fact said plastic garden nothing ago offer family still keep slightly brought recommend off table gift smart within game i'm unit while goes things using time built apart out better get i'd black useful bed box storage top loved base bread may bin give why 2 23 Interaction with Ratings & Reviews Overall: 5/5 Quality: 5/5 Features: 4/5 March 15, 2015 This product exceeds all my expectations. This is the second LG receiver we own and when we decided to change up to a flat screen it was obvious which manufacturer to use and our purchase has not disappointed. Lydia Female London, UK Pros: Performance, Easy to Use, Quality Yes, I would recommend this product. Click to view pictures attached to this review (2). KNOWLEDGE FOR ACTION 24 Interaction with Ratings & Reviews Overall: 5/5 Quality: 5/5 Features: 4/5 March 15, 2015 This product exceeds all my expectations. This is the second LG receiver we own and when we decided to change up to a flat screen it was obvious which manufacturer to use and our purchase has not disappointed. Lydia Female London, UK Pros: Performance, Easy to Use, Quality Yes, I would recommend this product. Click to view pictures attached to this review (2). KNOWLEDGE FOR ACTION 25 Interactions by Minute for Two Days 350 Interaction Interaction Type View UGC Click 'Read All' 300 Paginate Default Open UGC Pic/Video Click Product Link 250 Sort Content Visible in Browser 200 150 Num 100 50 0 Number of Interactions Feb 1 9 AM Feb 1 9 PM Feb 2 9 AM Feb 2 9 PM Date [February 2015] KNOWLEDGE FOR ACTION 26 Sneak Peek - Reviews KNOWLEDGE FOR ACTION 27 Data Structure Product Pageviews Transactions Leader Ratings & Reviews Observation Window: February & March 2015 KNOWLEDGE FOR ACTION 28 Data Structure Product Pageviews Transactions Leader Ratings & Reviews Observation Window: February & March 2015 KNOWLEDGE FOR ACTION 29 Transactions The dataset contains approximately 1 million individual orders. The median order consists of a single item and costs ~$30. Transaction data include: - timestamp of the transaction - identifier for the order - flag for mobile/non-mobile transaction - browser used to make the purchase - price of individual basket items - total purchase amount for the order KNOWLEDGE FOR ACTION 30 Transactions Over One Day, Mobile vs. Non-Mobile 1400 1200 1000 800 600 Cou 400 Type Non-Mobile Mobile 200 0 1 PM 3 PM 5 PM 7 PM 9 PM 11 PM Hour [February 2, 2015] KNOWLEDGE FOR ACTION 31 Transactions Over One Day by Number of Items in Order Total Items in Order 50 1 2 3 4 5 5+ 40 30 20 10 0 1 PM 2 PM 3 PM 4 PM 5 PM 6 PM 7 PM 8 PM 9 PM 10 PM 11 PM 12 AM Hour [February 2, 2015] KNOWLEDGE FOR ACTION 32 Co Sneak Peek - Transaction KNOWLEDGE FOR ACTION 33 Data Structure Product Pageviews Transactions Leader Ratings & Reviews Observation Window: February & March 2015 KNOWLEDGE FOR ACTION 34 Possible Research Areas from Bazaarvoice • How do customers explore products before coming to a purchase decision? How do reviews affect this? • What characteristics of reviews influence path to purchase? • How does volume or valence of reviews impact purchase behavior? KNOWLEDGE FOR ACTION • Does the volume or valence of reviews for one product have a “halo” effect on reviews and/or purchases for other products from the same manufacturer? • Which reviews should be featured in order to maximize conversion and/or attract the most valuable customers? 35 Possible Research Areas from Bazaarvoice • How do customers explore products before coming to a purchase decision? How do reviews affect this? • What characteristics of reviews influence path to purchase? • How does volume or valence of reviews impact purchase behavior? • Does the volume or valence of reviews for one product have a “halo” effect on reviews and/or purchases for other products from the same manufacturer? • Which reviews should be featured in order to maximize conversion and/or attract the most valuable customers? Something not on this list… KNOWLEDGE FOR ACTION 36 Proposal Format Proposals should be in PDF format, no more than 2,000 words, and include the following information: • Title • Author(s) name, title, affiliation and e-mail address: Please designate a corresponding author. • Summary information: a single “slide” that visually summarizes team & project. • Abstract • Introduction: Describe expected contribution(s), covering both the academic and practical aspects. Please keep it concise, and cite relevant work as necessary to explain your academic contribution. There is no need to include a lengthy literature review. • Detailed project proposal: Please include enough detail that we can assess the feasibility & merit of the proposed approach. For example, modeling projects should include at least a sketch of the model. In addition, include a rough estimate of how long the project will take. Also include the business relevance of your research and the impact for the sponsor as well. • Data Needs: Bulleted list of data required or requested for analysis not explicitly mentioned during this webinar. While we can’t guarantee the inclusion of these items, we are happy to investigate the availability. • Biographies: Include up to a paragraph-long biography highlighting what each team member will contribute to the project. KNOWLEDGE FOR ACTION 37 Proposal Submission Process • Read more about the proposal format at http://www.wharton.upenn.edu/wcai/Proposals.cfm • Submit proposals at http://www.wharton.upenn.edu/wcai/proposalform.cfm no later than Monday, May 4, 2015, 12 noon US Eastern. – Proposals will only be accepted online. – A single PDF combining the written portion and the single slide. • Proposals will be evaluated both on academic contribution and potential to significantly improve the research sponsor’s marketing practice by the proposal review committee: Elea Feit (Drexel University), Eric Bradlow (WCAI), Pete Fader (WCAI), and representatives from Bazaarvoice. • Contact [email protected], if you have questions prior to submitting your proposal. KNOWLEDGE FOR ACTION 38 A Few Operational Notes This webinar is intended for researchers & scholars. It should not be published or presented without permission from WCAI. • Questions on program: [email protected] • Press contacts: [email protected] To get access to the data, research teams should submit a proposal to WCAI and the sponsor for approval. Please note that the data sponsor cannot be named in any publication or presentation. KNOWLEDGE FOR ACTION 39 Other WCAI Opportunities for Researchers If you registered for this webinar, you will receive regular announcements regarding: • Research Opportunities like this one: – Supply Side and Demand Side Data for a Fast Food Chain – 2-3 more projects in the Fall Also find us at: • SSRN Research Paper series: http://www.ssrn.com/link/Wharton-Cust-Analytics-Initiative-RES.html • Announcements: http://wcai.wharton.upenn.edu KNOWLEDGE FOR ACTION 40 KNOWLEDGE FOR ACTION TRANSFORMING BUSINESS THROUGH CUSTOMER DATA 41