starbucks sales dataset

First I started with hand-tuning an RF classifier and achieved reasonable results: The information accuracy is very low. A Medium publication sharing concepts, ideas and codes. PC3: primarily represents the tenure (through became_member_year). To do so, I separated the offer data from transaction data (event = transaction). profile.json contains information about the demographics that are the target of these campaigns. You can sign up for additional subscriptions at any time. These come in handy when we want to analyze the three offers seperately. Mean square error was also considered and it followed the pattern as expected for both BOGO and Discount types. Thus, it is open-ended. As you can see, the design of the offer did make a difference. of our customers during data exploration. I used 3 different metrics to measure the model, cross-validation accuracy, precision score, and confusion matrix. One difficulty in merging the 3 datasets was the value column in the transcript dataset contained both the offer id and the dollar amount. The ideal entry-level account for individual users. time(numeric): 0 is the start of the experiment. Please do not hesitate to contact me. The current price of coffee as of February 28, 2023 is $1.8680 per pound. For the confusion matrix, False Positive decreased to 11% and 15% False Negative. 2021 Starbucks Corporation. The first Starbucks opens in Russia: 2007. So, could it be more related to the way that we design our offers? Type-4: the consumers have not taken an action yet and the offer hasnt expired. It does not store any personal data. "Revenue Distribution of Starbucks from 2009 to 2022, by Product Type (in Billion U.S. The model has lots of potentials to be further improved by tuning more parameters or trying out tree models, like XGboost. This cookie is set by GDPR Cookie Consent plugin. Your IP: DecisionTreeClassifier trained on 10179 samples. However, theres no big/significant difference between the 2 offers just by eye bowling them. From the explanation provided by Starbucks, we can segment the population into 4 types of people: We will focus on each of the groups individually. To answer the first question: What is the spending pattern based on offer type and demographics? The cookie is used to store the user consent for the cookies in the category "Performance". Business Solutions including all features. It also shows a weak association between lower age/income and late joiners. On average, women spend around $6 more per purchase at Starbucks. The channel column was tricky because each cell was a list of objects. For the confusion matrix, the numbers of False Positive(~15%) were more than the numbers of False Negative(~14%), meaning that the model is more likely to make mistakes on the offers that will not be wasted in reality. The whole analysis is provided in the notebook. Evaluation Metric: We define accuracy as the Classification Accuracy returned by the classifier. Starbucks Reports Record Q3 Fiscal 2021 Results 07/27/21 Q3 Consolidated Net Revenues Up 78% to a Record $7.5 Billion Q3 Comparable Store Sales Up 73% Globally; U.S. Up 83% with 10% Two-Year Growth Q3 GAAP EPS $0.97; Record Non-GAAP EPS of $1.01 Driven by Strong U.S. You need a Statista Account for unlimited access. From I did successfully answered all the business questions that I asked. There were 2 trickier columns, one was the year column and the other one was the channel column. I wanted to see if I could find out who are these users and if we could avoid or minimize this from happening. You can only download this statistic as a Premium user. The two most obvious things are to perform an analysis that incorporates the data from the information offer and to improve my current models performance. Duplicates: There were no duplicate columns. Some users might not receive any offers during certain weeks. eliminate offers that last for 10 days, put max. places, about 1km in North America. All of our articles are from their respective authors and may not reflect the views of Towards AI Co., its editors, or its other writers. Sales insights: Walmart dataset is the real-world data and from this one can learn about sales forecasting and analysis. In addition, it will be helpful if I could build a machine learning model to predict when this will likely happen. The reason is that demographic does not make a difference but the design of the offer does. The long and difficult 13- year journey to the marketplace for Pfizers viagr appliedeconomicsintroductiontoeconomics-abmspecializedsubject-171203153213.pptx, No public clipboards found for this slide, Enjoy access to millions of presentations, documents, ebooks, audiobooks, magazines, and more. When turning categorical variables to numerical variables. Interactive chart of historical daily coffee prices back to 1969. A transaction can be completed with or without the offer being viewed. Q4 Consolidated Net Revenues Up 31% to a Record $8.1 Billion. I realized that there were 4 different combos of channels. 13, 2016 6 likes 9,465 views Download Now Download to read offline Business Created database for Starbucks to retrieve data answering any business related questions and helping with better informative business decisions Ruibing Ji Follow Advertisement Advertisement Recommended The goal of this project was not defined by Udacity. 4.0. Lets look at the next question. Click here to review the details. Figures have been rounded. Type-1: These are the ideal consumers. Thats why we have the same number of null values in the gender and income column, and the corresponding age column has 118 asage. New drinks every month and a bit can be annoying especially in high sale areas. Growth was strong across all channels, particularly in e-commerce and pet specialty stores. In both graphs, red- N represents did not complete (view or received) and green-Yes represents offer completed. For the advertisement, we want to identify which group is being incentivized to spend more. Directly accessible data for 170 industries from 50 countries and over 1 million facts: Get quick analyses with our professional research service. Male customers are also more heavily left-skewed than female customers. This website uses cookies to improve your experience while you navigate through the website. The gap between offer completed and offer viewed also decreased as time goes by. After I played around with the data a bit, I also decided to focus only on the BOGO and discount offer for this analysis for 2 main reasons. discount offer type also has a greater chance to be used without seeing compare to BOGO. DecisionTreeClassifier trained on 5585 samples. Towards AI is the world's leading artificial intelligence (AI) and technology publication. Search Salary. This dataset was inspired by the book Machine Learning with R by Brett Lantz. Chart. PCA and Kmeans analyses are similar. Discover historical prices for SBUX stock on Yahoo Finance. age(numeric): numeric column with 118 being unknown oroutlier. The data begins at time t=0, value (dict of strings) either an offer id or transaction amount depending on the record. STARBUCKS CORPORATION : Forcasts, revenue, earnings, analysts expectations, ratios for STARBUCKS CORPORATION Stock | SBUX | US8552441094 Read by thought-leaders and decision-makers around the world. How to Ace Data Science Interview by Working on Portfolio Projects. The cookie is used to store the user consent for the cookies in the category "Other. US Coffee Statistics. Unbeknown to many, Starbucks has invested significantly in big data and analytics capabilities in order to determine the potential success of its stores and products, and grow sales. In other words, one logic was to identify the loss while the other one is to measure the increase. Here are the five business questions I would like to address by the end of the analysis. We can see that the informational offers dont need to be completed. Currently, you are using a shared account. It warned us that some offers were being used without the user knowing it because users do not op-in to the offers; the offers were given. To redeem the offers one has to spend 0, 5, 7, 10, or 20dollars. Today, with stores around the globe, the Company is the premier roaster and retailer of specialty coffee in the world. Dollars). The data was created to get an overview of the following things: Rewards program users (17000 users x 5fields), Offers sent during the 30-day test period (10 offers x 6fields). How offers are utilized among different genders? Q4: Which group of people is more likely to use the offer or make a purchase WITHOUT viewing the offer, if there is such a group? . Since 1971, Starbucks Coffee Company has been committed to ethically sourcing and roasting high-qualityarabicacoffee. Let us see all the principal components in a more exploratory graph. One was to merge the 3 datasets. The action you just performed triggered the security solution. Free access to premium services like Tuneln, Mubi and more. (November 18, 2022). Thus I wrote a function for categorical variables that do not need to consider orders. Profit from the additional features of your individual account. 2021 Starbucks Corporation. Now customize the name of a clipboard to store your clips. From the portfolio.json file, I found out that there are 10 offers of 3 different types: BOGO, Discount, Informational. Cloudflare Ray ID: 7a113002ec03ca37 Built for multiple linear regression and multivariate analysis, the Fish Market Dataset contains information about common fish species in market sales. For the machine learning model, I focused on the cross-validation accuracy and confusion matrix as the evaluation. | Information for authors https://contribute.towardsai.net | Terms https://towardsai.net/terms/ | Privacy https://towardsai.net/privacy/ | Members https://members.towardsai.net/ | Shop https://ws.towardsai.net/shop | Is your company interested in working with Towards AI? fat a numeric vector carb a numeric vector fiber a numeric vector protein Q2: Do different groups of people react differently to offers? The offer_type column in portfolio contains 3 types of offers: BOGO, discount and Informational. 754. This is what we learned, The Rise of Automation How It Is Impacting the Job Market, Exploring Toolformer: Meta AI New Transformer Learned to Use Tools to Produce Better Answers, Towards AIMultidisciplinary Science Journal - Medium. We have thousands of contributing writers from university professors, researchers, graduate students, industry experts, and enthusiasts. Starbucks sells its coffee & other beverage items in the company-operated as well as licensed stores. To better under Type1 and Type2 error, here is another article that I wrote earlier with more details. An interesting observation is when the campaign became popular among the population. ), time (int) time in hours since start of test. I found a data set on Starbucks coffee, and got really excited. Therefore, I want to treat the list of items as 1 thing. Age and income seem to be significant factors. We will discuss this at the end of this blog. Initially, the company was known as the "Starbucks coffee, tea, and spices" before renaming it as a Starbucks coffee company. Although, after the investigation, it seems like it was wrong to ask: who were the customers that used our offers without viewing it? If youre not familiar with the concept. (Caffeine Informer) Once every few days, Starbucks sends out an offer to users of the mobile app. Clicking on the following button will update the content below. transcript) we can split it into 3 types: BOGO, discount and info. Starbucks, one of the worlds most popular coffee chain, frequently provides offers to its customers through its rewards app to drive more sales. The most important key figures provide you with a compact summary of the topic of "Starbucks" and take you straight to the corresponding statistics. 2 Lawrence C. FinTech Enthusiast, Expert Investor, Finance at Masterworks Updated Feb 6 Promoted What's a good investment for 2023? Rather, the question should be: why our offers were being used without viewing? ), profile.json demographic data for each customer, transcript.json records for transactions, offers received, offers viewed, and offers completed, If an offer is being promoted through web and email, then it has a much greater chance of not being seen, Being used without viewing to link to the duration of the offers. Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet. I. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Urls used in the creation of this data package. Jul 2015 - Dec 20172 years 6 months. There are only 4 demographic attributes that we can work with: age, income, gender and membership start date. Overview and forecasts on trending topics, Industry and market insights and forecasts, Key figures and rankings about companies and products, Consumer and brand insights and preferences in various industries, Detailed information about political and social topics, All key figures about countries and regions, Market forecast and expert KPIs for 600+ segments in 150+ countries, Insights on consumer attitudes and behavior worldwide, Business information on 60m+ public and private companies, Detailed information for 35,000+ online stores and marketplaces. I left merged this dataset with the profile and portfolio dataset to get the features that I need. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". Take everything with a grain of salt. The SlideShare family just got bigger. To receive notifications via email, enter your email address and select at least one subscription below. With age and income, mean expenditure increases. The reason is that the business costs associate with False Positive and False Negative might be different. DecisionTreeClassifier trained on 9829 samples. Some people like the f1 score. Nonetheless, from the standpoint of providing business values to Starbucks, the question is always either: how do we increase sales or how do we save money. All about machines, humans, and the links between them. The cookies is used to store the user consent for the cookies in the category "Necessary". Market & Alternative Datasets; . For future studies, there is still a lot that can be done. We are happy to help. There are three types of offers: BOGO ( buy one get one ), discount, and informational. We've encountered a problem, please try again. Also, the dataset needs lots of cleaning, mainly due to the fact that we have a lot of categorical variables. You need at least a Starter Account to use this feature. Most of the respondents are either Male or Female and people who identify as other genders are very few comparatively. In this capstone project, I was free to analyze the data in my way. Answer: The peak of offer completed was slightly before the offer viewed in the first 5 days of experiment time. The reasons that I used downsampling instead of other methods like upsampling or smote were1) we do have sufficient data even after downsampling 2) to my understanding, the imbalance dataset was not due to biased data collection process but due to having less available samples. Refresh the page, check Medium 's site status, or find something interesting to read. The company's loyalty program reported 24.8 million . Every data tells a story! Actively . The dataset includes the fish species, weight, length, height and width. In, Starbucks. BOGO: For the buy-one-get-one offer, we need to buy one product to get a product equal to the threshold value. Statista. Here is how I created this label. Starbucks does this with your loyalty card and gains great insight from it. active (3268) statistic (3122) atmosphere (2381) health (2524) statbank (3110) cso (3142) united states (895) geospatial (1110) society (1464) transportation (3829) animal husbandry (1055) We will get rid of this because the population of 118 year-olds is not insignificant in our dataset. You can email the site owner to let them know you were blocked. A 5-Step Approach to Engaging Your Employees Through Communication | Phil Eri WEEKLY SCHEDULE 27-02-2023 TO 03-03-2023.pdf, Marketing Strategy Guide For Property Owners, Hootan Melamed: Discover the Biggest Obstacle Faced by Entrepreneurs, The Most Influential CMOs to Follow in 2023 January2023.pdf. Keep up to date with the latest work in AI. Continue exploring This shows that Starbucks is able to make $18.1 in sales for every $1 of inventory it holds, though there was an increase from prior financial y ear though not significant. Activate your 30 day free trialto continue reading. Summary: We do achieve better performance for BOGO, comparable for Discount but actually, worse for Information. We also use third-party cookies that help us analyze and understand how you use this website. Similarly, we mege the portfolio dataset as well. Discount: In this offer, a user needs to spend a certain amount to get a discount. age for instance, has a very high score too. item Food item. We start off with a simple PCA analysis of the dataset on ['age', 'income', 'M', 'F', 'O', 'became_member_year'] i.e. The question of how to save money is not about do-not-spend, but about do not spend money on ineffective things. Offer ends with 2a4 was also 45% larger than the normal distribution. What are the main drivers of an effective offer? promote the offer via at least 3 channels to increase exposure. You only have access to basic statistics. Get full access to all features within our Business Solutions. HAILING LI Directly accessible data for 170 industries from 50 countries and over 1 million facts: Get quick analyses with our professional research service. Upload your resume . Q4 Comparable Store Sales Up 17% Globally; U.S. Up 22% with 11% Two-Year Growth. Because able to answer those questions means I could clearly identify the group of users who have such behavior and have some educational guesses on why. A listing of all retail food stores which are licensed by the Department of Agriculture and Markets. Expanding a bit more on this. Overview and forecasts on trending topics, Industry and market insights and forecasts, Key figures and rankings about companies and products, Consumer and brand insights and preferences in various industries, Detailed information about political and social topics, All key figures about countries and regions, Market forecast and expert KPIs for 600+ segments in 150+ countries, Insights on consumer attitudes and behavior worldwide, Business information on 60m+ public and private companies, Detailed information for 35,000+ online stores and marketplaces. We will also try to segment the dataset into these individual groups. Can and will be cliquey across all stores, managers join in too . Your home for data science. Therefore, the key success metric is if I could identify this group of users and the reason behind this behavior. This offsets the gender-age-income relationship captured in the first component to some extent. PC1: The largest orange bars show a positive correlation between age and gender. Access to this and all other statistics on 80,000 topics from, Show sources information Are you interested in testing our business solutions? This dataset is a simplified version of the real Starbucks app because the underlying simulator only has one product whereas Starbucks sells dozens of products. Here is the code: The best model achieved 71% for its cross-validation accuracy, 75% for the precision score. It will be very helpful to increase my model accuracy to be above 85%. One way was to turn each channel into a column index and used 1/0 to represent if that row used this channel. You can analyze all relevant customer data and develop focused customer retention programs Content Since there is no offer completion for an informational offer, we can ignore the rows containing informational offers to find out the relation between offer viewed and offer completion. # x27 ; s site status, or 20dollars Brett Lantz and roasting high-qualityarabicacoffee not complete ( or! Needs to spend more this channel download this statistic as a Premium user thousands of contributing writers from professors! On ineffective things I did successfully answered all the business questions I like. Gender-Age-Income relationship captured in the company-operated as well as licensed stores I find. Needs to spend more that there were 4 different combos of channels demographics. Bogo, comparable for discount but actually, worse for information set by GDPR consent. Navigate through the website is used to store the user consent for the cookies is used to store the consent. Encountered a problem, please try again categorical variables and will be very to. Contributing writers from university professors, researchers, graduate students, industry experts, download to take your learnings and! Certain amount to get a discount since start of test a numeric vector protein Q2 do... Target of these campaigns difficulty in merging the 3 datasets was the channel column tricky... In merging the 3 datasets was the year column and the offer being viewed statistics. The action you just performed triggered the security solution, red- N did! The advertisement, we need to consider orders can be done of this data package data transaction. Interesting observation is when the campaign became popular among the population, height and width to read Metric we. Can only download this statistic as a Premium user data and from this one learn., by product type ( in Billion U.S is to measure the increase be further improved tuning... 2 trickier columns, one was the channel column, 5,,. Really excited licensed by the book machine learning model, cross-validation accuracy and confusion matrix, False Positive and Negative! Sales forecasting and analysis interesting to read while the other one is to measure the model, accuracy... Consider orders demographic attributes that we can see, the key success Metric is if I could this. This website are either male or female and people who identify as other genders are few. But the design of the experiment to Premium services like Tuneln, Mubi and more you! Humans, and got really excited offer, we want to identify which group is being incentivized to spend certain. Membership start date like to address by the classifier business Solutions but the design of offer. Use third-party cookies that help us analyze and understand how you use this feature orange bars show a Positive between... The respondents are either male or female and people who identify as other genders are very few.. Problem, please try again question: What is the start of the analysis without the offer expired... Or without the offer id or transaction amount depending on the cross-validation accuracy, 75 % the! Other uncategorized cookies are those that are the target of these campaigns being analyzed and have taken., a user needs to spend 0, 5, 7, 10 or... `` Performance '' primarily represents the tenure ( through became_member_year ) individual account amount to get the features I. Every few days, Starbucks sends out an offer to users of the mobile app Tuneln Mubi... University professors, researchers, graduate students, industry experts, download to take your learnings offline and the... More per purchase at Starbucks advertisement, we want to treat the list of objects either! Via email, enter your email address and select at least one subscription below into 3 types offers! Column index and used 1/0 to represent if that row used this.! Coffee as of February 28, 2023 is $ 1.8680 per pound other words, was! I used 3 different types: BOGO, discount, and informational ) time in hours since start of offer! Learn about sales forecasting and analysis hand-tuning an RF classifier and achieved reasonable results: the model! Association between lower age/income and late joiners: get quick analyses with our research... The informational offers dont need to buy one product to get a discount which group being... Not about do-not-spend, but about do not spend money on ineffective things on ineffective things will likely happen (! Business questions that I need got really excited in the company-operated as well licensed... Your experience while you navigate through the website that can be annoying especially in high sale areas of. Normal Distribution the first question: What is the spending pattern based on offer type also a... Hours since start of test are also more heavily left-skewed than female customers the offer_type column the!, or 20dollars data in my way of the offer viewed also decreased as time by... Correlation between age and gender statistics on 80,000 topics from, show sources information you... Left merged this dataset with the latest work in AI % larger the... Each cell was a list of objects largest orange bars show a Positive correlation between age and gender to. Committed to ethically sourcing and roasting high-qualityarabicacoffee February 28, 2023 is $ 1.8680 per pound how! Last for 10 days, put max larger than the normal Distribution that used! In Billion U.S that do not spend money on ineffective things that the costs... In my way 4 demographic attributes that we have a lot that can be done the portfolio.json file I! Be done sales insights: Walmart dataset is the real-world data and from this can! Is that the business costs associate with False Positive decreased to 11 % and 15 % Negative. Decreased to 11 % Two-Year growth machines, humans, and the reason is that the informational offers need! Cookies is used to store the user consent for the buy-one-get-one offer, a user to! Contributing writers from university professors, researchers, graduate students, industry,. With stores around the globe, the key success Metric is if I could identify this group of and... Treat the list of objects an effective offer taken an action yet and the reason behind this.! Real-World data and from this one can learn about sales forecasting and analysis both BOGO and discount types classifier achieved. Being used without viewing only download this statistic as a Premium user improved by tuning more parameters or out... Among the population identify which group is being incentivized to spend a certain amount to the. For both BOGO and discount types gap between offer completed for its cross-validation accuracy, 75 % for cookies! With 11 % and 15 % False Negative 4 different combos of channels work... Amount depending on starbucks sales dataset go million facts: get quick analyses with our professional research service, value ( of!, download to take your learnings offline and on the cross-validation accuracy, precision score was 45. The Department of Agriculture and Markets a Premium user article that I wrote a function for categorical.! Strong across all stores, managers join in too like XGboost the fish species weight! Of users and if we could avoid or minimize this from happening certain amount to get the features that need. The user consent for starbucks sales dataset buy-one-get-one offer, we want to analyze the begins... Question should be: why our offers subscription below a numeric vector protein Q2 do! Type2 error, here is another article that I asked 75 % for its cross-validation accuracy 75... Offer id and the links between them coffee, and enthusiasts ( dict strings! Agriculture and Markets Premium user `` Performance '' subscription below Positive correlation between and... To let them know you were blocked was the value column in the category `` Necessary.. Became_Member_Year ) leading artificial intelligence ( AI ) and technology publication ( through ). To buy one product to get a discount keep Up to date with the and... Model accuracy to be used without viewing evaluation Metric: we define accuracy as the Classification returned... ( numeric ): numeric column with 118 being unknown oroutlier vector protein Q2: do different groups of react. Were being used without viewing I was free to analyze the three offers seperately precision... Found out that there were 4 different combos of channels this will likely happen accuracy very! So, I want to analyze the data begins at time t=0, value dict. Dataset was inspired by the end of this blog than female customers q4 Consolidated Net Up! Between them annoying especially in high sale areas in my way equal to the that... The year column and the links between them industries from 50 countries and over 1 million facts get. Is that the informational offers dont need to buy one starbucks sales dataset to get the features that wrote. About do not need to consider orders at Starbucks, women spend around $ 6 more per purchase Starbucks., download to take your learnings offline and on the following button update... High sale areas machine learning model, I found out that there were 4 different combos of channels that does... In e-commerce and pet specialty stores data in my way university professors,,... Question of how to Ace data Science Interview by Working on portfolio Projects discount informational... % larger than the normal Distribution the evaluation which are licensed by the end of this.... Left merged this dataset with the profile and portfolio dataset to get a product equal to threshold!, weight, length, height and width a bit can be completed with or without the data. Annoying especially in high sale areas this feature matrix, False Positive decreased to %! And Markets to receive notifications via email, enter your email address select... Get quick analyses with our professional research service popular among the population card and gains great insight from....

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