title
Learn Web Analytics and Its Application in E-Commerce | Analytics in E-Commerce | Great Learning

description
🔥1000+ Free Courses With Free Certificates: https://www.mygreatlearning.com/academy?ambassador_code=GLYT_DES_Top_SEP22&utm_source=GLYT&utm_campaign=GLYT_DES_Top_SEP22 #AnalyticsInECommerce | Learn the application of web analytics in the e-commerce industry. Know more about the job trends and what professionals should do to make a career in web analytics. The e-commerce market in India is growing at 30% CAGR whereas the global growth rate of 8%-10%. The webinar explains how analytics is helping the companies to become more efficient in personalizing and recommending products at customer-specific level. About the Speaker Akash Kapoor has more than 2 decades of work experience. He had been into IT field since 2001. He did MS from Purdue University. He has experience working in different geographies and in a variety of Industry verticals. He also has rich experience in varied BI tools – OBIEE, Cognos, Hyperion, Pentaho to name the few. In addition, he had the privilege of leading BI implementation of Aadhaar pan-India. At present, he holds a Sr Manager BI and Analytics position. #Analytics #ECommerce #GreatLearning #GreatLakes Visit https://greatlearningforlife.com our learning portal for 100s of hours of similar free high-quality tutorial videos on Digital Marketing, Web Analytics, Supply Chain, Marketing Analytics and more. Learn More: https://goo.gl/81Ds1i Know more about our analytics programs: PGP-Business Analytics: https://goo.gl/M4dsDq PGP-Big Data Analytics: https://goo.gl/QZNHGJ Business Analytics Certificate Program: https://goo.gl/SDLQCf About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 - Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU - For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 - Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: - Google Plus: https://plus.google.com/u/0/108438615307549697541 - Facebook: https://www.facebook.com/GreatLearningOfficial/ - LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube Great Learning has collaborated with the University of Texas at Austin for the PG Program in Artificial Intelligence and Machine Learning and with UT Austin McCombs School of Business for the PG Program in Analytics and Business Intelligence.

detail
{'title': 'Learn Web Analytics and Its Application in E-Commerce | Analytics in E-Commerce | Great Learning', 'heatmap': [], 'summary': "Delves into bi analytics case study and recruitment insights, india's e-commerce growth with a 30% cagr, e-commerce analysis including buying propensity and acquisition analysis, behavior category importance in customer buying study, e-commerce time analysis, conversion rate insights, and data analysis process with model interpretation for targeting marketing efforts.", 'chapters': [{'end': 94.698, 'segs': [{'end': 94.698, 'src': 'embed', 'start': 8.482, 'weight': 0, 'content': [{'end': 10.503, 'text': "all right guys, let's get started.", 'start': 8.482, 'duration': 2.021}, {'end': 12.983, 'text': 'my name is Akash Kapoor.', 'start': 10.503, 'duration': 2.48}, {'end': 18.265, 'text': 'well, good morning, good afternoon and good evening, whatever part of the world you are in.', 'start': 12.983, 'duration': 5.282}, {'end': 24.287, 'text': "how we have, how I'm going to organize this session is we are going to,", 'start': 18.265, 'duration': 6.022}, {'end': 34.97, 'text': "I'm going to introduce myself and then we are going to go through the case study of Fed Analytics for e-commerce post that I'll talk about,", 'start': 24.287, 'duration': 10.683}, {'end': 45.445, 'text': "what the employers look for when they're recruiting data scientists, what this next would be, what this course gave me.", 'start': 34.97, 'duration': 10.475}, {'end': 49.387, 'text': "and finally, we'll go into the Q&A session right.", 'start': 45.445, 'duration': 3.942}, {'end': 58.37, 'text': 'so, with that again, my name is Akash Kapoor and more than two decades of experience.', 'start': 49.387, 'duration': 8.983}, {'end': 67.666, 'text': "my first interaction with BI analytics was there in 2006, when I was working in US and And during my master's,", 'start': 58.37, 'duration': 9.296}, {'end': 71.548, 'text': 'I wrote a thesis on impact of terrorism on tourism.', 'start': 67.666, 'duration': 3.882}, {'end': 75.289, 'text': 'That was the first interaction with SAS, as well as present-day data science.', 'start': 71.568, 'duration': 3.721}, {'end': 84.714, 'text': 'After that, since 2006, I had been into BI and analytics with different tools and different companies and different verticals.', 'start': 77.35, 'duration': 7.364}, {'end': 94.698, 'text': 'And presently, I am working as a senior manager at BI and analytics at Agria Solutions, as you can see at the bottom of your screen.', 'start': 86.634, 'duration': 8.064}], 'summary': 'Akash kapoor, with over two decades of experience, presents a session on bi analytics and data science.', 'duration': 86.216, 'max_score': 8.482, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-48482.jpg'}], 'start': 8.482, 'title': 'Bi analytics case study and recruitment insights', 'summary': "Delves into fed analytics case study for e-commerce, employer requirements for data scientists, and the speaker's extensive two-decade experience in bi and analytics, encompassing research on terrorism's impact on tourism and current role at agria solutions.", 'chapters': [{'end': 94.698, 'start': 8.482, 'title': 'Bi analytics: case study and recruitment insights', 'summary': "Covers the case study of fed analytics for e-commerce, insights on what employers seek in data scientists, and the speaker's two-decade experience in bi and analytics, including his thesis on terrorism's impact on tourism and current role at agria solutions.", 'duration': 86.216, 'highlights': ['The speaker has over two decades of experience in BI and analytics, with a background in terrorism impact on tourism and current role as a senior manager at Agria Solutions.', 'The session includes a case study of Fed Analytics for e-commerce, offering practical insights into analytics in the e-commerce industry.', 'Insights on what employers look for when recruiting data scientists are provided, offering valuable information for individuals seeking careers in data science.', "The speaker's first interaction with BI analytics was in 2006 during his master's program, which laid the foundation for his extensive experience in the field."]}], 'duration': 86.216, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-48482.jpg', 'highlights': ['The session includes a case study of Fed Analytics for e-commerce, offering practical insights into analytics in the e-commerce industry.', 'The speaker has over two decades of experience in BI and analytics, with a background in terrorism impact on tourism and current role as a senior manager at Agria Solutions.', 'Insights on what employers look for when recruiting data scientists are provided, offering valuable information for individuals seeking careers in data science.', "The speaker's first interaction with BI analytics was in 2006 during his master's program, which laid the foundation for his extensive experience in the field."]}, {'end': 787.812, 'segs': [{'end': 142.51, 'src': 'embed', 'start': 96.135, 'weight': 0, 'content': [{'end': 104.218, 'text': "So now without further delay, what I'm going to get into is the web analytics for e-commerce.", 'start': 96.135, 'duration': 8.083}, {'end': 129.047, 'text': 'Presently, e-commerce industry in India, Or say the e-commerce market in India, is growing at 30% compounded annual growth,', 'start': 118.423, 'duration': 10.624}, {'end': 131.627, 'text': 'which is much higher than the global growth of 8% to 10%.', 'start': 129.047, 'duration': 2.58}, {'end': 142.51, 'text': "Now, if you look at the graph at the bottom, just a second, I'm getting questions now, but hello, Bharti.", 'start': 131.627, 'duration': 10.883}], 'summary': 'E-commerce in india growing at 30% cagr, outpacing global growth of 8-10%.', 'duration': 46.375, 'max_score': 96.135, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-496135.jpg'}, {'end': 207.563, 'src': 'embed', 'start': 172.745, 'weight': 1, 'content': [{'end': 178.288, 'text': 'So we are still in 2017, the expected growth is 32% in the e-commerce market.', 'start': 172.745, 'duration': 5.543}, {'end': 186.836, 'text': 'and expected it is to be like $14.18 billion market in India.', 'start': 182.575, 'duration': 4.261}, {'end': 191.498, 'text': 'So still a lot of scope in this particular industry, e-commerce industry.', 'start': 187.717, 'duration': 3.781}, {'end': 200.221, 'text': 'What are the drivers which actually are driving this growth?', 'start': 197.24, 'duration': 2.981}, {'end': 204.362, 'text': 'So, increasing broadband internet.', 'start': 201.241, 'duration': 3.121}, {'end': 207.563, 'text': 'so the growth is 20% month over month.', 'start': 204.362, 'duration': 3.201}], 'summary': 'E-commerce market in india is expected to grow by 32% to reach $14.18 billion, driven by 20% month-over-month growth in broadband internet.', 'duration': 34.818, 'max_score': 172.745, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-4172745.jpg'}, {'end': 391.048, 'src': 'embed', 'start': 362.508, 'weight': 3, 'content': [{'end': 364.488, 'text': 'These are some companies which have come up.', 'start': 362.508, 'duration': 1.98}, {'end': 367.889, 'text': 'Amazon is here as well, which is doing really good.', 'start': 364.968, 'duration': 2.921}, {'end': 373.61, 'text': 'The government is also focusing on promoting e-commerce innovation and entrepreneurship.', 'start': 369.109, 'duration': 4.501}, {'end': 377.471, 'text': 'So these are the key drivers for growth in India.', 'start': 373.63, 'duration': 3.841}, {'end': 387.006, 'text': 'Besides that, Now we have, earlier it used to be market basket analysis, those kind of stuff.', 'start': 377.931, 'duration': 9.075}, {'end': 391.048, 'text': 'So for an individual user, you can actually go for the recommendations.', 'start': 387.066, 'duration': 3.982}], 'summary': 'Amazon and other companies are driving e-commerce growth in india, with a focus on innovation and entrepreneurship.', 'duration': 28.54, 'max_score': 362.508, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-4362508.jpg'}, {'end': 476.703, 'src': 'embed', 'start': 448.878, 'weight': 4, 'content': [{'end': 465.516, 'text': 'the little brief about the shop clues an online retail website headquartered in Gurgaon started its operations in year 2011 and they had been doing really good year over year sell lesser-known or unbranded items online.', 'start': 448.878, 'duration': 16.638}, {'end': 468.618, 'text': "So that's the USP for this particular company.", 'start': 465.556, 'duration': 3.062}, {'end': 476.703, 'text': 'Lesser-known or unbranded items online positions itself as a marketplace for smaller city buyers and sellers.', 'start': 469.238, 'duration': 7.465}], 'summary': 'Shopclues, an online retail website, started in 2011 and excels in selling lesser-known or unbranded items, positioning itself as a marketplace for smaller city buyers and sellers.', 'duration': 27.825, 'max_score': 448.878, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-4448878.jpg'}], 'start': 96.135, 'title': "India's e-commerce growth", 'summary': "Explores india's e-commerce growth, with a 30% cagr, surpassing global growth, reaching $14.18 billion market in 2017, driven by factors like broadband internet, wider product range, and busy lifestyles, with emphasis on shopclues case study and buying propensity.", 'chapters': [{'end': 172.185, 'start': 96.135, 'title': 'Web analytics for e-commerce', 'summary': "Discusses the web analytics for e-commerce, highlighting india's e-commerce industry growing at 30% cagr, surpassing the global growth rate of 8-10% and experiencing a 55.6% growth in 2013.", 'duration': 76.05, 'highlights': ["India's e-commerce industry is growing at a 30% compounded annual growth rate, surpassing the global growth rate of 8-10%.", "In 2013, the growth rate of India's e-commerce industry was 55.6%, marking a significant increase since its inception.", "The total volume of India's e-commerce market is increasing despite a slight slowdown in growth."]}, {'end': 787.812, 'start': 172.745, 'title': 'E-commerce growth in india', 'summary': 'Discusses the expected 32% e-commerce market growth in 2017, reaching a $14.18 billion market in india, driven by factors such as increasing broadband internet, rising standards of living, availability of wider product range, busy lifestyles, and lower prices compared to brick and mortar, with a case study on shopclues and an emphasis on propensity of buying.', 'duration': 615.067, 'highlights': ['The expected growth in the e-commerce market in India is 32% in 2017, reaching a $14.18 billion market, driven by factors like increasing broadband internet, rising standards of living, and availability of wider product range, compared to brick-and-mortar retailers.', "The growth in e-commerce is attributed to factors such as increasing broadband internet, which is experiencing a 20% month-over-month growth, as well as the rising standards of living in India's upwardly mobile middle class with high disposable income.", 'Factors driving the growth of e-commerce in India include the availability of a much wider product range compared to brick-and-mortar retailers, busy lifestyles, urban traffic congestion, lack of time for offline shopping, and lower prices compared to brick and mortar, influenced by disintermediation and reduced inventory and real estate costs.', 'The case study focuses on ShopClues, an online retail website that positions itself as a marketplace for smaller city buyers and sellers, specializing in lesser-known or unbranded items online, with an emphasis on propensity of buying.', 'The study on the propensity of buying at ShopClues involved data sources including online data residing on the cloud and the data warehouse, with observations highlighting noisy data, duplicate records, and 70% of transactions having no user IDs as they log in as guests.']}], 'duration': 691.677, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-496135.jpg', 'highlights': ["India's e-commerce industry is growing at a 30% compounded annual growth rate, surpassing the global growth rate of 8-10%.", 'The expected growth in the e-commerce market in India is 32% in 2017, reaching a $14.18 billion market, driven by factors like increasing broadband internet, rising standards of living, and availability of wider product range, compared to brick-and-mortar retailers.', "The growth in e-commerce is attributed to factors such as increasing broadband internet, which is experiencing a 20% month-over-month growth, as well as the rising standards of living in India's upwardly mobile middle class with high disposable income.", 'Factors driving the growth of e-commerce in India include the availability of a much wider product range compared to brick-and-mortar retailers, busy lifestyles, urban traffic congestion, lack of time for offline shopping, and lower prices compared to brick and mortar, influenced by disintermediation and reduced inventory and real estate costs.', 'The case study focuses on ShopClues, an online retail website that positions itself as a marketplace for smaller city buyers and sellers, specializing in lesser-known or unbranded items online, with an emphasis on propensity of buying.']}, {'end': 1038.301, 'segs': [{'end': 844.161, 'src': 'embed', 'start': 817.187, 'weight': 3, 'content': [{'end': 824.448, 'text': 'Or what are the factors in the e-commerce industry, So the primary factors.', 'start': 817.187, 'duration': 7.261}, {'end': 829.071, 'text': 'from different researchers, different papers, case studies, I came up with four categories.', 'start': 824.448, 'duration': 4.623}, {'end': 832.934, 'text': 'Demographics, acquisition, transaction behavior, and outcome.', 'start': 829.391, 'duration': 3.543}, {'end': 838.017, 'text': 'Our dependent variable was orders, which was identified as a target variable.', 'start': 834.014, 'duration': 4.003}, {'end': 844.161, 'text': 'So orders was our dependent variable, which was in the outcome category.', 'start': 838.037, 'duration': 6.124}], 'summary': 'E-commerce factors: demographics, acquisition, transaction behavior, and outcome. orders as dependent variable.', 'duration': 26.974, 'max_score': 817.187, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-4817187.jpg'}, {'end': 911.498, 'src': 'embed', 'start': 885.216, 'weight': 0, 'content': [{'end': 893.143, 'text': 'This gives information as per geolocation at the time of order, which varies if a person is traveling and not the permanent location.', 'start': 885.216, 'duration': 7.927}, {'end': 901.59, 'text': 'So we had categorized it in science companies focusing on tier two and tier three cities,', 'start': 894.484, 'duration': 7.106}, {'end': 907.034, 'text': 'but 66% of the revenue is generated from metros and tier one cities.', 'start': 901.59, 'duration': 5.444}, {'end': 911.498, 'text': 'Although the company is focusing on tier two and tier three cities,', 'start': 908.295, 'duration': 3.203}], 'summary': '66% of revenue from metros and tier one cities despite focus on tier 2 and tier 3 cities', 'duration': 26.282, 'max_score': 885.216, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-4885216.jpg'}, {'end': 1004.191, 'src': 'embed', 'start': 946.821, 'weight': 1, 'content': [{'end': 954.804, 'text': 'In this particular case, user ID was the only available demographic which was reliable and which could be taken into account.', 'start': 946.821, 'duration': 7.983}, {'end': 969.951, 'text': 'Acquisition So acquisition, we figured out that 99% of the users are browsing through different versions of Chrome.', 'start': 961.567, 'duration': 8.384}, {'end': 974.58, 'text': 'So the browsers could be Chrome, could be Firefox, IE.', 'start': 971.078, 'duration': 3.502}, {'end': 979.023, 'text': "So that's this variable was dropped because it was heavily towards Chrome.", 'start': 975.321, 'duration': 3.702}, {'end': 980.885, 'text': 'Pretty much all of them towards Chrome.', 'start': 979.244, 'duration': 1.641}, {'end': 983.727, 'text': 'I would say 99%.', 'start': 981.725, 'duration': 2.002}, {'end': 988.75, 'text': 'Campaigns Campaigns, again, in the acquisition part, you have the campaigns.', 'start': 983.727, 'duration': 5.023}, {'end': 995.755, 'text': 'Like if there are some advertisements, people click on the advertisement and come to the website.', 'start': 989.51, 'duration': 6.245}, {'end': 998.276, 'text': 'For example, Yahoo billboard campaign.', 'start': 996.215, 'duration': 2.061}, {'end': 1004.191, 'text': 'Shop Clues September 2014 campaign, China Bazaar campaign.', 'start': 1000.109, 'duration': 4.082}], 'summary': '99% of users use chrome, with specific campaigns mentioned.', 'duration': 57.37, 'max_score': 946.821, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-4946821.jpg'}], 'start': 792.33, 'title': 'E-commerce analysis', 'summary': 'Discusses e-commerce buying propensity and acquisition analysis, highlighting demographics, transaction behavior, and outcomes. additionally, it reveals that 66% of revenue is generated from metros and tier one cities, with 99% of users browsing through chrome and most purchases occurring through the china bazaar campaign.', 'chapters': [{'end': 911.498, 'start': 792.33, 'title': 'E-commerce buying propensity study', 'summary': "Discusses the identification of categories and variables in an e-commerce buying propensity study, with a focus on the demographics, acquisition, transaction behavior, and outcomes, and the observation that 66% of the revenue is generated from metros and tier one cities despite the company's focus on tier two and tier three cities.", 'duration': 119.168, 'highlights': ['The study identified four broad categories: demographics, acquisition, transactional behavior, and outcomes, which were further divided into variables.', 'The dependent variable, orders, was categorized under the outcome category.', "Location was considered as a variable, providing information based on geolocation at the time of order, revealing that 66% of revenue is generated from metros and tier one cities despite the company's focus on tier two and tier three cities."]}, {'end': 1038.301, 'start': 911.946, 'title': 'E-commerce acquisition analysis', 'summary': 'Provides an analysis of the e-commerce acquisition data, with 99% of users browsing through chrome, and the majority of purchases occurring through the china bazaar campaign.', 'duration': 126.355, 'highlights': ['99% of the users are browsing through different versions of Chrome, leading to the exclusion of browser type as a variable in the analysis.', 'The majority of purchases are happening through the China Bazaar campaign, as evidenced by the darker shade representing non-purchases in the Yahoo billboard campaign and the lighter shade representing purchases in the Shop Clues September 2014 campaign and China Bazaar VC.']}], 'duration': 245.971, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-4792330.jpg', 'highlights': ['66% of revenue is generated from metros and tier one cities', '99% of users browsing through Chrome', 'Majority of purchases occurring through the China Bazaar campaign', 'Dependent variable, orders, categorized under the outcome category', "Location variable reveals revenue distribution despite company's focus"]}, {'end': 1474.717, 'segs': [{'end': 1096.152, 'src': 'embed', 'start': 1038.342, 'weight': 3, 'content': [{'end': 1043.765, 'text': 'There were not many campaigns during this period and this variable is also having a very few observations.', 'start': 1038.342, 'duration': 5.423}, {'end': 1049.009, 'text': 'Now the behavior.', 'start': 1048.147, 'duration': 0.862}, {'end': 1061.494, 'text': 'this was a very significant variable or a category which we figured out so behavior.', 'start': 1055.049, 'duration': 6.445}, {'end': 1067.739, 'text': 'very significant category for the study as a behavior or website, combined with other categories,', 'start': 1061.494, 'duration': 6.245}, {'end': 1074.604, 'text': 'provides a much better understanding of buying by customers relative to just studying the customer behavior.', 'start': 1067.739, 'duration': 6.865}, {'end': 1075.365, 'text': 'now this were.', 'start': 1074.604, 'duration': 0.761}, {'end': 1083.011, 'text': 'there were like 10 different variables for very behavior category time spent on website.', 'start': 1075.365, 'duration': 7.646}, {'end': 1093.27, 'text': 'it captures the total time spent by the user in the duration of the study, which is from 10th November 2014 till 9th December 2014.', 'start': 1084.304, 'duration': 8.966}, {'end': 1096.152, 'text': 'our data was for one month.', 'start': 1093.27, 'duration': 2.882}], 'summary': 'The behavior category was a significant variable with 10 different variables and captured the total time spent on the website over a one-month study period.', 'duration': 57.81, 'max_score': 1038.342, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-41038342.jpg'}, {'end': 1185.016, 'src': 'embed', 'start': 1157.096, 'weight': 0, 'content': [{'end': 1162.918, 'text': 'So people actually spending one to three minutes, we see like 100K people ordering.', 'start': 1157.096, 'duration': 5.822}, {'end': 1165.771, 'text': 'And then the trend decreases.', 'start': 1164.471, 'duration': 1.3}, {'end': 1174.533, 'text': 'People spending three to five minutes are less likely to order, and then this continues to decrease.', 'start': 1166.451, 'duration': 8.082}, {'end': 1179.134, 'text': 'For product view, we see maximum in less than 15 seconds.', 'start': 1175.854, 'duration': 3.28}, {'end': 1185.016, 'text': "It's pretty much stable in the next two, and then it increases a bit, and then decreases.", 'start': 1180.375, 'duration': 4.641}], 'summary': '100k people order in 1-3 mins, but orders decrease after 3 mins. product views peak in <15 secs, stabilize, then decrease.', 'duration': 27.92, 'max_score': 1157.096, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-41157096.jpg'}, {'end': 1273.842, 'src': 'embed', 'start': 1244.836, 'weight': 1, 'content': [{'end': 1248.317, 'text': 'The day of the week when the user visited the e-retail market.', 'start': 1244.836, 'duration': 3.481}, {'end': 1257.32, 'text': 'So what we see is on Sundays, we see maximum people, the product views, card addition, orders.', 'start': 1249.197, 'duration': 8.123}, {'end': 1261.582, 'text': 'Orders are of course directly proportional to this revenue.', 'start': 1257.72, 'duration': 3.862}, {'end': 1264.943, 'text': 'And it could be the order number is less, the revenue is more.', 'start': 1262.122, 'duration': 2.821}, {'end': 1270.105, 'text': "That's possible because it could be a person buy gold.", 'start': 1265.523, 'duration': 4.582}, {'end': 1273.842, 'text': 'The order is one, but the value is more, so the revenue is more.', 'start': 1271.181, 'duration': 2.661}], 'summary': 'On sundays, the e-retail market sees the highest activity with maximum product views, card additions, and orders, directly proportional to revenue.', 'duration': 29.006, 'max_score': 1244.836, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-41244836.jpg'}, {'end': 1396.394, 'src': 'embed', 'start': 1369.916, 'weight': 2, 'content': [{'end': 1376.32, 'text': 'The users visiting again within a day, orders more than other users.', 'start': 1369.916, 'duration': 6.404}, {'end': 1380.423, 'text': 'As the time increases, the conversion percentage decreases.', 'start': 1376.92, 'duration': 3.503}, {'end': 1388.166, 'text': 'This can be attributed to someone who sees a product and wants to buy.', 'start': 1384.403, 'duration': 3.763}, {'end': 1394.112, 'text': 'it would generally come sooner to buy it and maybe after comparing with other sites.', 'start': 1388.166, 'duration': 5.946}, {'end': 1396.394, 'text': 'So we generally do it like that.', 'start': 1394.152, 'duration': 2.242}], 'summary': 'Users returning within a day order more; conversion percentage decreases with time.', 'duration': 26.478, 'max_score': 1369.916, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-41369916.jpg'}], 'start': 1038.342, 'title': 'Behavior category importance in customer buying study and e-commerce time analysis', 'summary': 'Discusses the significance of behavior category in understanding customer buying, focusing on time spent on the website capturing data from 10th november 2014 till 9th december 2014. it also presents insights on user behavior and trends in e-retail market, revealing maximum orders occur within one to three minutes, with sundays being the peak day for product views, cart additions, and orders, and users visiting again within a day showing higher conversion percentages.', 'chapters': [{'end': 1096.152, 'start': 1038.342, 'title': 'Behavior category importance in customer buying study', 'summary': 'Discusses the significance of the behavior category in understanding customer buying, with a focus on the time spent on the website as a key variable, capturing data from 10th november 2014 till 9th december 2014.', 'duration': 57.81, 'highlights': ['The behavior category, particularly the time spent on the website, was identified as a significant variable for understanding customer buying, capturing the total time spent by the user from 10th November 2014 till 9th December 2014.', 'The data covered a one-month duration, providing a comprehensive understanding of customer behavior and buying patterns.', 'There were 10 different variables related to the behavior category, emphasizing its importance in the study.']}, {'end': 1474.717, 'start': 1096.152, 'title': 'E-commerce time analysis', 'summary': 'Presents insights on user behavior and trends in e-retail market, revealing that maximum orders occur within one to three minutes, with sundays being the peak day for product views, cart additions, and orders, and users visiting again within a day showing higher conversion percentages.', 'duration': 378.565, 'highlights': ['Maximum orders occur within one to three minutes. 100K people ordering within one to three minutes, showing a peak in orders within this time frame.', 'Sundays are the peak day for product views, cart additions, and orders. Sundays witness the highest activities such as product views, cart additions, and orders, indicating a peak in user engagement and revenue generation on this day.', 'Users visiting again within a day show higher conversion percentages. Users returning within a day exhibit the highest conversion percentages, indicating a higher likelihood to make a purchase during their recent visit.']}], 'duration': 436.375, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-41038342.jpg', 'highlights': ['Maximum orders occur within one to three minutes. 100K people ordering within one to three minutes, showing a peak in orders within this time frame.', 'Sundays are the peak day for product views, cart additions, and orders. Sundays witness the highest activities such as product views, cart additions, and orders, indicating a peak in user engagement and revenue generation on this day.', 'Users visiting again within a day show higher conversion percentages. Users returning within a day exhibit the highest conversion percentages, indicating a higher likelihood to make a purchase during their recent visit.', 'The behavior category, particularly the time spent on the website, was identified as a significant variable for understanding customer buying, capturing the total time spent by the user from 10th November 2014 till 9th December 2014.', 'The data covered a one-month duration, providing a comprehensive understanding of customer behavior and buying patterns.', 'There were 10 different variables related to the behavior category, emphasizing its importance in the study.']}, {'end': 1759.286, 'segs': [{'end': 1536.27, 'src': 'embed', 'start': 1499.164, 'weight': 3, 'content': [{'end': 1505.31, 'text': 'Around 26% of the page views are home page which is way ahead of rest of the page views.', 'start': 1499.164, 'duration': 6.146}, {'end': 1514.478, 'text': 'It makes sense as most of the users login would come to home page, next is card contents page followed by the search results.', 'start': 1505.93, 'duration': 8.548}, {'end': 1532.449, 'text': 'here is an interesting fact about shop clues in the e-commerce industry.', 'start': 1524.526, 'duration': 7.923}, {'end': 1536.27, 'text': 'the conversion rate is 2%.', 'start': 1532.449, 'duration': 3.821}], 'summary': '26% of page views are on the home page, with a 2% conversion rate, indicating strong user engagement.', 'duration': 37.106, 'max_score': 1499.164, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-41499164.jpg'}, {'end': 1729.814, 'src': 'embed', 'start': 1627.496, 'weight': 0, 'content': [{'end': 1635.141, 'text': 'then you have the cart edition and then it further goes down to orders and at present the total conversion rate, as I mentioned for this,', 'start': 1627.496, 'duration': 7.645}, {'end': 1636.082, 'text': 'is 2.53% for shop close.', 'start': 1635.141, 'duration': 0.941}, {'end': 1649.959, 'text': 'some more insights, although we did not bifurcate it through the.', 'start': 1644.133, 'duration': 5.826}, {'end': 1652.842, 'text': 'what do you say through the categories?', 'start': 1649.959, 'duration': 2.883}, {'end': 1655.824, 'text': 'but just more insights here.', 'start': 1652.842, 'duration': 2.982}, {'end': 1662.571, 'text': 'among top six categories, fashion has the maximum orders.', 'start': 1655.824, 'duration': 6.747}, {'end': 1667.356, 'text': 'fashion has the maximum orders, but jewelry and watches is generating maximum revenue,', 'start': 1662.571, 'duration': 4.785}, {'end': 1674.647, 'text': 'as average cost per order is high because jewelry and watches we see the revenues are high.', 'start': 1667.356, 'duration': 7.291}, {'end': 1680.412, 'text': 'orders may be less because of the value of that particular order.', 'start': 1674.647, 'duration': 5.765}, {'end': 1693.061, 'text': 'ShopClues also sells gold bricks, so you buy one brick, although the order is one, but maybe like 27 lakhs or something like that.', 'start': 1682.533, 'duration': 10.528}, {'end': 1702.388, 'text': 'So if we talk of the orders, We get maximum orders, I think, fashion and home and kitchen.', 'start': 1695.683, 'duration': 6.705}, {'end': 1704.029, 'text': 'Pretty much, look at that.', 'start': 1702.868, 'duration': 1.161}, {'end': 1706.551, 'text': 'The rest of them, the orders are less.', 'start': 1704.929, 'duration': 1.622}, {'end': 1710.754, 'text': 'Revenue-wise, jewelry and watches are the maximum.', 'start': 1707.271, 'duration': 3.483}, {'end': 1713.216, 'text': 'And then there are others which follow.', 'start': 1711.614, 'duration': 1.602}, {'end': 1723.824, 'text': 'So what we did was to figure out the propensity, we had the orders as the response variable.', 'start': 1715.537, 'duration': 8.287}, {'end': 1729.814, 'text': 'We use logistic regression into this.', 'start': 1727.912, 'duration': 1.902}], 'summary': 'Shopclues has a 2.53% conversion rate, with fashion having the most orders, but jewelry and watches generating the highest revenue due to high average cost per order.', 'duration': 102.318, 'max_score': 1627.496, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-41627496.jpg'}], 'start': 1475.177, 'title': 'E-commerce conversion rate and shopclues analysis', 'summary': "Covers the entry points of website visitors, with 26% entering through the home page, and emphasizes the industry average conversion rate of 2%. it also discusses shopclues' conversion rate of 2.53%, insights on top categories, and the use of logistic regression for predicting orders, with fashion having the maximum orders and jewelry/watches generating high revenue.", 'chapters': [{'end': 1567.167, 'start': 1475.177, 'title': 'E-commerce conversion rate analysis', 'summary': 'Discusses the entry points of website visitors, with 26% entering through the home page, and highlights the industry average conversion rate of 2% as a key area of focus for e-commerce platforms.', 'duration': 91.99, 'highlights': ['The home page accounts for around 26% of the page views, indicating its significance as an entry point for website visitors.', 'The industry average conversion rate is 2%, emphasizing the importance of increasing conversion rates for e-commerce platforms.']}, {'end': 1759.286, 'start': 1567.887, 'title': 'Shopclues analysis: conversion rate, categories, and orders', 'summary': 'Discusses the conversion rate of 2.53% for shopclues, insights on top categories, and use of logistic regression for predicting orders, with fashion having the maximum orders and jewelry/watches generating high revenue.', 'duration': 191.399, 'highlights': ['The conversion rate for ShopClues is 2.53%, higher than the industry average of 2%.', 'Fashion is the category with the maximum number of orders, while jewelry and watches generate the highest revenue due to their high average cost per order.', 'Logistic regression was used to predict orders, where a person ordering gets a value of one, else zero.']}], 'duration': 284.109, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-41475177.jpg', 'highlights': ['Fashion category has the maximum orders.', 'Jewelry/watches generate high revenue.', "ShopClues' conversion rate is 2.53%.", 'Home page accounts for around 26% of page views.', 'Logistic regression used to predict orders.']}, {'end': 2766.649, 'segs': [{'end': 1913.592, 'src': 'embed', 'start': 1888.877, 'weight': 0, 'content': [{'end': 1895.723, 'text': "So, in fact, there were 45 variables, although one of the slides said 36, so that was the reason I was saying I'll get into the exact numbers.", 'start': 1888.877, 'duration': 6.846}, {'end': 1898.145, 'text': '45 variables were selected in the model.', 'start': 1895.743, 'duration': 2.402}, {'end': 1899.687, 'text': 'Key variables are entry date.', 'start': 1898.226, 'duration': 1.461}, {'end': 1909.271, 'text': 'entry page, average time spent on website, average pages per visit, recency, loyalty, product views.', 'start': 1902.17, 'duration': 7.101}, {'end': 1913.592, 'text': 'So here is the odds ratio for each of them.', 'start': 1910.752, 'duration': 2.84}], 'summary': '45 variables were selected in the model, including key variables like entry date, entry page, average time spent on website, average pages per visit, recency, loyalty, and product views.', 'duration': 24.715, 'max_score': 1888.877, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-41888877.jpg'}, {'end': 2040.188, 'src': 'embed', 'start': 2012.32, 'weight': 2, 'content': [{'end': 2021.467, 'text': 'So based on that, it was the data told us that 16 to 19 pages is where there is more likelihood of buying.', 'start': 2012.32, 'duration': 9.147}, {'end': 2025.73, 'text': 'The odds ratio are more likelihood of buying than compared to others.', 'start': 2021.587, 'duration': 4.143}, {'end': 2033.623, 'text': 'Recency, if the recency frequency is more than 40 days, we have 11% more chances of buying.', 'start': 2026.491, 'duration': 7.132}, {'end': 2040.188, 'text': 'Loyalty, a new customer, returning customer and the loyal customer.', 'start': 2034.904, 'duration': 5.284}], 'summary': 'Data indicates 16-19 pages for more buying; 11% higher chance with recency >40 days; loyalty impact.', 'duration': 27.868, 'max_score': 2012.32, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-42012320.jpg'}, {'end': 2443.833, 'src': 'embed', 'start': 2384.903, 'weight': 4, 'content': [{'end': 2386.925, 'text': 'Other left chart is the ROC curve.', 'start': 2384.903, 'duration': 2.022}, {'end': 2400.416, 'text': "ROC curve shows how true positivity, shows high true positivity, which again shows that it's a good model with that area under the curve as 0.93.", 'start': 2387.865, 'duration': 12.551}, {'end': 2403.237, 'text': 'area that the curve measures, the discrimination,', 'start': 2400.416, 'duration': 2.821}, {'end': 2410.74, 'text': 'that is also the ability of the model to correctly classify people who will buy and who will not buy.', 'start': 2403.237, 'duration': 7.503}, {'end': 2443.833, 'text': 'also, both test and validation data are a false.', 'start': 2410.74, 'duration': 33.093}], 'summary': 'Roc curve with 0.93 auc indicates good model for classifying buyers, with both test and validation data showing false', 'duration': 58.93, 'max_score': 2384.903, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-42384903.jpg'}, {'end': 2522.502, 'src': 'embed', 'start': 2493.146, 'weight': 3, 'content': [{'end': 2500.252, 'text': "this will enhance company's revenue and provide better ROI with optimum utilization of marketing resources.", 'start': 2493.146, 'duration': 7.106}, {'end': 2507.659, 'text': 'So when you are getting orders from just 72% of the orders from the 50% of the population,', 'start': 2501.277, 'duration': 6.382}, {'end': 2511.319, 'text': 'rest of the customers are contributing just 28% towards your revenue.', 'start': 2507.659, 'duration': 3.66}, {'end': 2515.94, 'text': 'So you will target to the above 50%.', 'start': 2512.52, 'duration': 3.42}, {'end': 2522.502, 'text': 'You will be able to upsell, cross-sell to these people because they are highly likely to buy.', 'start': 2515.94, 'duration': 6.562}], 'summary': 'Targeting the top 50% of customers can increase revenue and roi.', 'duration': 29.356, 'max_score': 2493.146, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-42493146.jpg'}], 'start': 1759.286, 'title': 'Data analysis and model interpretation', 'summary': "Provides insights on data analysis process, highlighting variables and odds ratios for purchase likelihood, and discusses model interpretation and inference, showcasing logistic model's performance with key metrics and suggesting targeting marketing efforts towards the top 50% of customers for better roi.", 'chapters': [{'end': 2070.777, 'start': 1759.286, 'title': 'Data analysis insights on shop clues', 'summary': 'Explores the data analysis process, highlighting key variables and their respective odds ratios, indicating the likelihood of purchase based on various factors, such as entry date, entry page, average time spent on website, average pages per visit, recency, loyalty, cart additions, and product views.', 'duration': 311.491, 'highlights': ['Key variables and their odds ratios are discussed, revealing insights into the likelihood of purchase based on factors such as entry date, entry page, average time spent on website, average pages per visit, recency, loyalty, cart additions, and product views. This provides specific quantifiable data on the impact of various factors on the likelihood of purchase, offering valuable insights for decision-making.', 'Interpretation of odds ratios for different variables indicates the increased likelihood of purchase on specific days, entry pages, and user behavior metrics. This insight quantifies the impact of factors such as entry date and entry page on the likelihood of purchase, providing actionable information for marketing and sales strategies.', 'Insights into the relationship between recency, loyalty, cart additions, and product views, and their respective odds ratios, provide actionable information for enhancing customer engagement and retention. Quantifiable data on the impact of recency, loyalty, cart additions, and product views on the likelihood of purchase offers valuable guidance for improving customer experience and driving sales.']}, {'end': 2766.649, 'start': 2071.597, 'title': 'Model interpretation and inference', 'summary': "Discusses model interpretation and inference, showcasing the logistic model's performance with key metrics such as aicsc, likelihood ratios, percent concordant, and lift analysis, indicating a 72% contribution to revenue by the top 50% of customers. the conclusion suggests targeting marketing efforts towards this segment for better roi.", 'duration': 695.052, 'highlights': ['The lift of the predicted model at the straight line shows a cumulative percentage of the expected events, indicating a 72% contribution to revenue by the top 50% of customers. The lift analysis shows a 72% contribution to revenue by the top 50% of customers, emphasizing the importance of targeting marketing efforts towards this segment for better ROI.', "The ROC curve demonstrates a high true positivity of 93%, indicating the model's ability to correctly classify people who will buy and who will not buy. The ROC curve exhibits a high true positivity of 93%, showcasing the model's accuracy in identifying potential buyers and non-buyers.", 'The conclusion recommends targeting marketing efforts towards the top 50% of customers for upselling and cross-selling, leading to enhanced revenue and better ROI. The conclusion highlights the recommendation to focus marketing efforts on the top 50% of customers for upselling and cross-selling, resulting in improved revenue and ROI.']}], 'duration': 1007.363, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kPBz2c3zz-4/pics/kPBz2c3zz-41759286.jpg', 'highlights': ['Key variables and their odds ratios provide quantifiable data on the impact of factors on purchase likelihood, offering valuable insights for decision-making.', 'Interpretation of odds ratios quantifies the impact of factors such as entry date and entry page on purchase likelihood, providing actionable information for marketing and sales strategies.', 'Insights into the relationship between recency, loyalty, cart additions, and product views offer actionable information for enhancing customer engagement and retention, guiding sales improvement.', 'The lift analysis shows a 72% contribution to revenue by the top 50% of customers, emphasizing the importance of targeting marketing efforts towards this segment for better ROI.', "The ROC curve exhibits a high true positivity of 93%, showcasing the model's accuracy in identifying potential buyers and non-buyers.", 'The recommendation to focus marketing efforts on the top 50% of customers for upselling and cross-selling leads to improved revenue and ROI.']}], 'highlights': ["India's e-commerce industry is growing at a 30% compounded annual growth rate, surpassing the global growth rate of 8-10%.", 'The case study focuses on ShopClues, an online retail website that positions itself as a marketplace for smaller city buyers and sellers, specializing in lesser-known or unbranded items online, with an emphasis on propensity of buying.', '66% of revenue is generated from metros and tier one cities.', 'Maximum orders occur within one to three minutes. 100K people ordering within one to three minutes, showing a peak in orders within this time frame.', 'Sundays are the peak day for product views, cart additions, and orders. Sundays witness the highest activities such as product views, cart additions, and orders, indicating a peak in user engagement and revenue generation on this day.', 'Fashion category has the maximum orders.', 'The lift analysis shows a 72% contribution to revenue by the top 50% of customers, emphasizing the importance of targeting marketing efforts towards this segment for better ROI.']}