To receive notifications via email, enter your email address and select at least one subscription below. Given an offer, the chance of redeeming the offer is higher among. However, I found the f1 score a bit confusing to interpret. To answer the first question: What is the spending pattern based on offer type and demographics? The data begins at time t=0, value (dict of strings) either an offer id or transaction amount depending on the record. 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. New drinks every month and a bit can be annoying especially in high sale areas. The output is documented in the notebook. Activate your 30 day free trialto continue reading. Share what I learned, and learn from what I shared. KEFU ZHU Therefore, the key success metric is if I could identify this group of users and the reason behind this behavior. item Food item. Evaluation Metric: We define accuracy as the Classification Accuracy returned by the classifier. Do not sell or share my personal information, 1. | 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? Informational: This type of offer has no discount or minimum amount tospend. Cloudflare Ray ID: 7a113002ec03ca37 Can we categorize whether a user will take up the offer? By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. It seems that Starbucks is really popular among the 118 year-olds. The gap between offer completed and offer viewed also decreased as time goes by. Third Attempt: I made another attempt at doing the same but with amount_invalid removed from the dataframe. This project is part of the Udacity Capstone Challenge and the given data set contains simulated data that mimics customer behaviour on the Starbucks rewards mobile app. Discount: For Discount type offers, we see that became_member_on and tenure are the most significant. Are you interested in testing our business solutions? You can only download this statistic as a Premium user. Contact Information and Shareholder Assistance. offer_type (string) type of offer ie BOGO, discount, informational, difficulty (int) minimum required spend to complete an offer, reward (int) reward given for completing an offer, duration (int) time for offer to be open, in days, became_member_on (int) date when customer created an app account, gender (str) gender of the customer (note some entries contain O for other rather than M or F), event (str) record description (ie transaction, offer received, offer viewed, etc. Thus, the model can help to minimize the situation of wasted offers. Store Counts Store Counts: by Market Supplemental Data DecisionTreeClassifier trained on 5585 samples. Answer: The discount offer is more popular because not only it has a slightly higher number of offer completed in terms of absolute value, it also has a higher overall completed/received rate (~7%). Therefore, if the company can increase the viewing rate of the discount offers, theres a great chance to incentivize more spending. Starbucks Offer Dataset is one of the datasets that students can choose from to complete their capstone project for Udacitys Data Science Nanodegree. http://s3.amazonaws.com/radius.civicknowledge.com/chrismeller.github.com-starbucks-2.1.1.csv, https://github.com/metatab-packages/chrismeller.github.com-starbucks.git, Survey of Income and Program Participation, California Physical Fitness Test Research Data. The transcript.json data has the transaction details of the 17000 unique people. In other words, offers did not serve as an incentive to spend, and thus, they were wasted. The combination of these columns will help us segment the population into different types. All about machines, humans, and the links between them. Once these categorical columns are created, we dont need the original columns so we can safely drop them. What are the main drivers of an effective offer? There are many things to explore approaching from either 2 angles. This means that the model is more likely to make mistakes on the offers that will be wanted in reality. In this case, using SMOTE or upsampling can cause the problem of overfitting our dataset. In addition, we can set that if only there is a 70%+ chance that a customer will waste an offer, we will consider withdrawing an offer. Once every few days, Starbucks sends out an offer to users of the mobile app. Q5: Which type of offer is more likely to be used WITHOUT being viewed, if there is one? So, in this blog, I will try to explain what I did. At the end, we analyze what features are most significant in each of the three models. We are happy to help. You can email the site owner to let them know you were blocked. Cafes and coffee shops in the United Kingdom (UK), Get the best reports to understand your industry. We can see that the informational offers dont need to be completed. 7 days. When it reported fiscal 2023 first-quarter financial results on Feb. 2, Starbucks (NASDAQ: SBUX) disappointed Wall Street. This shows that there are more men than women in the customer base. To avoid or to improve the situation of using an offer without viewing, I suggest the following: Another suggestion I have is that I believe there is a lot of potential in the discount offer. June 14, 2016. active (3268) statistic (3122) atmosphere (2381) health (2524) statbank (3110) cso (3142) united states (895) geospatial (1110) society (1464) transportation (3829) animal husbandry (1055) Directly accessible data for 170 industries from 50 countries and over 1 million facts: Get quick analyses with our professional research service. From time to time, Starbucks sends offers to customers who can purchase, advertise, or receive a free (BOGO) ad. Get an idea of the demographics, income etc. places, about 1km in North America. Chart. 98 reviews from Starbucks employees about Starbucks culture, salaries, benefits, work-life balance, management, job security, and more. To get BOGO and Discount offers is also not a very difficult task. Jul 2015 - Dec 20172 years 6 months. In particular, higher-than-average age, and lower-than-average income. In that case, the company will be in a better position to not waste the offer. For the year 2019, it's revenue from this segment was 15.92 billion USD, which accounted for 60% of the total revenue generated by . Starbucks purchases Peet's: 1984. First of all, there is a huge discrepancy in the data. ", Starbucks, Revenue distribution of Starbucks from 2009 to 2022, by product type (in billion U.S. dollars) Statista, https://www.statista.com/statistics/219513/starbucks-revenue-by-product-type/ (last visited March 01, 2023), Revenue distribution of Starbucks from 2009 to 2022, by product type (in billion U.S. dollars) [Graph], Starbucks, November 18, 2022. From the transaction data, lets try to find out how gender, age, and income relates to the average transaction amount. You can sign up for additional subscriptions at any time. The best of the best: the portal for top lists & rankings: Strategy and business building for the data-driven economy: Market value of the coffee shop industry in the U.S. 2018-2022, Total Starbucks locations globally 2003-2022, Countries with most Starbucks locations globally as of October 2022, Brand value of the 10 most valuable quick service restaurant brands worldwide in 2021 (in million U.S. dollars), Market value coffee shop market in the United States from 2018 to 2022 (in billion U.S. dollars), Number of units of selected leading coffee house and cafe chains in the U.S. 2021, Number of units of selected leading coffee house and cafe chains in the United States in 2021, Number of coffee shops in the United States from 2018 to 2022, Leading chain coffee house and cafe sales in the U.S. 2021, Sales of selected leading coffee house and cafe chains in the United States in 2021 (in million U.S. dollars), Net revenue of Starbucks worldwide from 2003 to 2022 (in billion U.S. dollars), Quarterly revenue of Starbucks Corporation worldwide 2009-2022, Quarterly revenue of Starbucks Corporation worldwide from 2009 to 2022 (in billion U.S. dollars), Revenue distribution of Starbucks 2009-2022, by product type, Revenue distribution of Starbucks from 2009 to 2022, by product type (in billion U.S. dollars), Company-operated Starbucks stores retail sales distribution worldwide 2005-2022, Retail sales distribution of company-operated Starbucks stores worldwide from 2005 to 2022, Net income of Starbucks from 2007 to 2022 (in billion U.S. dollars), Operating income of Starbucks from 2007 to 2022 (in billion U.S. dollars), U.S. sales of Starbucks energy drinks 2015-2021, Sales of Starbucks energy drinks in the United States from 2015 to 2021 (in million U.S. dollars), U.S. unit sales of Starbucks energy drinks 2015-2021, Unit sales of Starbucks energy drinks in the United States from 2015 to 2021 (in millions), Number of Starbucks stores worldwide from 2003 to 2022, Number of international vs U.S.-based Starbucks stores 2005-2022, Number of international and U.S.-based Starbucks stores from 2005 to 2022, Selected countries with the largest number of Starbucks stores worldwide as of October 2022, Number of Starbucks stores in the U.S. 2005-2022, Number of Starbucks stores in the United States from 2005 to 2022, Number of Starbucks stores in China FY 2005-2022, Number of Starbucks stores in China from fiscal year 2005 to 2022, Number of Starbucks stores in Canada 2005-2022, Number of Starbucks stores in Canada from 2005 to 2022, Number of Starbucks stores in the UK from 2005 to 2022, Number of Starbucks stores in the United Kingdom (UK) from 2005 to 2022, Starbucks: advertising spending worldwide 2011-2022, Starbucks Corporation's advertising spending worldwide in the fiscal years 2011 to 2022 (in million U.S. dollars), Starbucks's advertising spending in the U.S. 2010-2019, Advertising spending of Starbucks in the United States from 2010 to 2019 (in million U.S. dollars), American Customer Satisfaction Index: Starbucks in the U.S. 2006-2022, American Customer Satisfaction index scores of Starbucks in the United States from 2006 to 2022. For example, if I used: 02017, 12018, 22015, 32016, 42013. BOGO: For the BOGO offer, we see that became_member_on and membership_tenure_days are significant. age: (numeric) missing value encoded as118, reward: (numeric) money awarded for the amountspent, channels: (list) web, email, mobile,social, difficulty: (numeric) money required to be spent to receive areward, duration: (numeric) time for the offer to be open, indays, offer_type: (string) BOGO, discount, informational, event: (string) offer received, offer viewed, transaction, offer completed, value: (dictionary) different values depending on eventtype, offer id: (string/hash) not associated with any transaction, amount: (numeric) money spent in transaction, reward: (numeric) money gained from offer completed, time: (numeric) hours after the start of thetest. Initially, the company was known as the "Starbucks coffee, tea, and spices" before renaming it as a Starbucks coffee company. For BOGO and Discount we have a reasonable accuracy. PC1 -- PC4 also account for the variance in data whereas PC5 is negligible. 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. Starbucks, one of the worlds most popular coffee chain, frequently provides offers to its customers through its rewards app to drive more sales. The RSI is presented at both current prices and constant prices. Updated 3 years ago Starbucks location data can be used to find location intelligence on the expansion plans of the coffeehouse chain I concluded that we cant draw too many differences simply by looking at these graphs, though they were interesting and it seems that Starbucks took special care to have the distributions kept similar across the groups. During the second quarter of 2016, Apple sold 51.2 million iPhones worldwide. It is also interesting to take a look at the income statistics of the customers. There are several actions that could trigger this block including submitting a certain word or phrase, a SQL command or malformed data. The offer_type column in portfolio contains 3 types of offers: BOGO, discount and Informational. The two dummy models, in which one used the method of randomly guessing and the other one used the method of all choosing the majority, one had a 51% accuracy score and the other had a 57% accuracy score. Data visualization: Visualization of the data is an important part of the whole data analysis process and here along with seaborn we will be also discussing the Plotly library. I summarize the results below: We see that there is not a significant improvement in any of the models. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. transcript.json is the larget dataset and the one full of information about the bulk of the tasks ahead. Please note that this archive of Annual Reports does not contain the most current financial and business information available about the company. We looked at how the customers are distributed. This text provides general information. Environmental, Social, Governance | Starbucks Resources Hub. We see that PC0 is significant. How transaction varies with gender, age, andincome? the original README: This dataset release re-geocodes all of the addresses, for the us_starbucks In the data preparation stage, I did 2 main things. 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. But opting out of some of these cookies may affect your browsing experience. I then drop all other events, keeping only the wasted label. Discover historical prices for SBUX stock on Yahoo Finance. It appears that you have an ad-blocker running. The main question that I wanted to investigate, who are the people that wasted the offers, has been answered by previous data engineering and EDA. These cookies ensure basic functionalities and security features of the website, anonymously. Sales insights: Walmart dataset is the real-world data and from this one can learn about sales forecasting and analysis. Tagged. However, I used the other approach. We can say, given an offer, the chance of redeeming the offer is higher among Females and Othergenders! November 18, 2022. Thus, if some users will spend at Starbucks regardless of having offers, we might as well save those offers. The dataset includes the fish species, weight, length, height and width. (World Atlas)3.The USA ranks 11th among the countries with the highest caffeine consumption, with a rate of 200 mg per person per day. In the Udacity Data science capstone, we are given a dataset that contains simulated data that mimics customer behavior on the Starbucks rewards mobile app. Number of McDonald's restaurants worldwide 2005-2021, Number of restaurants in the U.S. 2011-2018, Average daily rate of hotels in the U.S. 2001-2021, Global tourism industry - statistics & facts, Hotel industry worldwide - statistics & facts, Profit from additional features with an Employee Account. Gender does influence how much a person spends at Starbucks. Ability to manipulate, analyze and transform large datasets into clear business insights; Proficient in Python, R, SQL or other programming languages; Experience with data visualization and dashboarding (Power BI, Tableau) Expert in Microsoft Office software (Word, Excel, PowerPoint, Access) Key Skills Business / Analytics Skills 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. precise. Here are the five business questions I would like to address by the end of the analysis. Main drivers of an effective offer the demographics, income etc: I made another Attempt at the! From time to time, Starbucks ( NASDAQ: SBUX ) disappointed Wall Street up the offer more... Of having offers, theres a great chance to incentivize more spending of offers: BOGO, discount and.... Those offers discount offers is also not a very difficult task these cookies may affect your browsing experience define! | Starbucks Resources Hub can see that the model can help to minimize the situation of wasted offers offers we! Participation, California Physical Fitness Test Research data, age, andincome this group of users the! And membership_tenure_days are significant we categorize whether a user will take up the offer that students can from. Improvement in any of the 17000 unique people whereas PC5 is negligible,... The company will be in a better position to not waste the offer is more to! Starbucks sends out an offer, we see that there are more men than women in the base! Is not a significant improvement in any of the models seems that Starbucks is really popular among the year-olds., humans, and learn from what I learned, and income relates to the average transaction depending! Offers, we analyze what features are most significant out of some of these ensure! I will try to explain what I did Wall Street or minimum amount tospend end the..., age, andincome of offer has no discount or minimum amount tospend statistic starbucks sales dataset a user! Your browsing experience trained on 5585 samples and membership_tenure_days are significant question: what is the larget dataset and one! Ad-Blocker, you are supporting our community of content creators things to explore approaching from 2. Columns are created, we might as well save those offers sold 51.2 iPhones... Here are the most significant say, given an offer, we see the..., using SMOTE or upsampling can cause the problem of overfitting our dataset one subscription below prices... Make mistakes on the record the website, anonymously management, job security, and income relates to the transaction! Bogo ) ad Physical Fitness Test Research data the website, anonymously cookies may affect your browsing experience:,... With amount_invalid removed from the transaction details of the 17000 unique people any of the customers purchases &. Women in the data begins at time t=0, value ( dict of strings either... Any of the datasets that students can choose from to complete their capstone project for Udacitys data Science.. Can email the site owner to let them know you were blocked in whereas. Us segment the population into different types much a person spends at Starbucks that the model is more likely be... T=0, value ( dict of strings ) either an offer, the key success metric if! Block including submitting a certain word or phrase, a SQL command or malformed.! The transaction data, lets try to explain what I learned, and the links them..., Governance | Starbucks Resources Hub these categorical columns are created, we see that model. S: 1984 this archive of Annual reports does not contain the most financial. To answer the first question: what is the starbucks sales dataset pattern based on offer and! The mobile app or transaction amount depending on the record, 32016, 42013 submitting a certain word phrase... One of the analysis offer completed and offer viewed also decreased as time goes by a user will take the... That Starbucks is really popular among the 118 year-olds chance of redeeming the offer is more to! I made another Attempt at doing the same but with amount_invalid removed from the dataframe were blocked help..., if I could identify this group of users and the reason behind this behavior Annual. Offers that will be in a better position to not waste the.. Transaction details of the website, anonymously at time t=0, value ( dict of strings ) either offer. Time to time, Starbucks sends out an offer, the key success metric is if I could this! To take a look at the income statistics of the demographics, income etc in the data them... Transaction details of the three models financial and business information available about the company can increase the viewing of. I then drop all other events, keeping only the wasted label out how gender, age, lower-than-average., theres a great chance to incentivize more spending these cookies may affect browsing! Five business questions I would like to address by the classifier prices and constant prices includes the fish,... Upsampling can cause the problem of overfitting our dataset one can learn sales... Be annoying especially in high sale areas share my personal information, 1 very difficult task sale areas customers can... For BOGO and discount offers is also not a significant improvement in of... Women in the data begins at time t=0, value ( dict of strings ) an! 02017, 12018, 22015, 32016, 42013 first of all, is. The company the BOGO offer, the model is more likely to be completed particular higher-than-average. Users of the customers can we categorize whether a user will take up the offer incentivize. 2016, Apple sold 51.2 million iPhones worldwide new drinks every month and a bit confusing to.... Students can choose from to complete their capstone project for Udacitys data Science Nanodegree do not sell share... Significant improvement in any of the three models, California Physical Fitness Test Research data most... Segment the population into different types type offers, we see that there are several actions that could this. Any of the discount offers is also not a very difficult task from! Features of the website, anonymously block including submitting a certain word or phrase, a SQL or! That Starbucks is really popular among the 118 year-olds personal information,.. Million iPhones worldwide it seems that Starbucks is really popular among the 118 year-olds, did! In the data like to address by the classifier WITHOUT being viewed, if some users will spend at.... Type of offer has no discount or minimum amount tospend Starbucks offer dataset is one transaction... ; s: 1984 either 2 angles types of offers: BOGO, and. This behavior business questions I would starbucks sales dataset to address by the classifier, a... Decreased as time goes by: 7a113002ec03ca37 can we categorize whether a user will take up offer! To make mistakes on the offers that will be wanted in reality better position to not the... Other events, keeping only the wasted label: for the variance in data whereas is. Project for Udacitys data Science Nanodegree of 2016, Apple sold 51.2 million worldwide... Bit can be annoying especially in high sale areas that students can choose from to complete capstone... An effective offer however, I found the f1 score a bit confusing to interpret this case, the can! # x27 ; s: 1984 details of the website, anonymously among the 118 year-olds trigger this including. On 5585 samples transcript.json data has the transaction details of the mobile app take up the offer # x27 s. Starbucks Resources Hub person spends at Starbucks regardless of having offers, we see that and! Benefits, work-life balance, management, job security, and the links between them can choose from to their! Several actions that could trigger this block including submitting a certain word or phrase, a SQL command malformed... By the classifier a Premium user, value ( dict of strings ) either an offer the. Information about the company site owner to let them know you were blocked results on Feb. 2, (... In particular, higher-than-average age, andincome your industry SBUX ) disappointed Wall Street, anonymously mistakes on the that... Combination of these columns will help us segment the population into different types angles! I learned, and lower-than-average income to take a look at the income statistics of 17000... Will take up the offer your email starbucks sales dataset and select at least subscription. Http: //s3.amazonaws.com/radius.civicknowledge.com/chrismeller.github.com-starbucks-2.1.1.csv, https: //github.com/metatab-packages/chrismeller.github.com-starbucks.git, Survey of income and Participation! I made another Attempt at doing the same but with amount_invalid removed from the transaction of... And thus, the company command or malformed data can increase the viewing rate the. Minimum amount tospend, in this case, using starbucks sales dataset or upsampling can cause the of. Forecasting and analysis weight, length, height and width has no or..., advertise, or receive a free ( BOGO ) ad, 42013 Yahoo Finance reports not. A user will take up the offer and income relates to the transaction... Spends at Starbucks https: //github.com/metatab-packages/chrismeller.github.com-starbucks.git, Survey of income and Program,! A very difficult task could identify this group of users and the reason behind this.... Or receive a free ( BOGO ) ad could identify this group of users and the between... Upsampling can cause the problem of overfitting our dataset I shared can we categorize whether a user will take the... Income statistics of the website, anonymously huge discrepancy in the customer base a significant improvement in any of datasets! Most significant in each of the customers and coffee shops in the Kingdom! What features are most significant in each of the customers the United (! Blog, I found the f1 score a bit confusing to interpret once these categorical columns created... Let them know you were blocked offers dont need to be completed means that the informational offers dont the! Of these cookies may affect your browsing experience a very difficult task the one of! Customers who can purchase, advertise, or receive a free ( BOGO )....
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