{
  "id": 310874,
  "title": "Customers who are buying multiples of the same item",
  "url": "/competitions/h-and-m-personalized-fashion-recommendations/discussion/310874",
  "author_name": "geekdad",
  "post_date": "2022-03-03T14:45:21.970000",
  "votes": 2,
  "comment_count": 4,
  "views": 0,
  "content": "<p>What could be the reason for some customers who are:</p>\n<ol>\n<li>Buying many items over the course of time? As an example, I looked at the purchases of one customer who had 965 purchases in the data set.</li>\n<li>Buying multiples of the same items?</li>\n</ol>\n<p>These don't seem to be typical customers. Thoughts?</p>",
  "messages": [
    {
      "id": 1712036,
      "postDate": "2022-03-04T15:07:14.597Z",
      "content": "<p>Hello! Wondering if you managed to pull how many of them (count wise and %wise), and whether you ended up removing them as outlier from the dataset?</p>\n<p>When I look at pricing history, there are sometimes deep sales, so some people might be buying in bulk to be resold. Might be a visitor from smaller city who go to big city, purchase in bulk, and then selling it to friends / connections / retail?</p>\n<p>E.g. this item, there is one day with super deep discount and then the sales went really high<br>\n<img src=\"https://www.kaggleusercontent.com/kf/88295392/eyJhbGciOiJkaXIiLCJlbmMiOiJBMTI4Q0JDLUhTMjU2In0..1JurjRWfUEP1bo_PY3UBEg.tmiTyMGhJD3Hm5uhGQ1oxfkTycBg8nyeCfVjLT0y9ZiTLfcjEVrG78ECkAOrWEBOW-KxtgkL_INBYl8_Vss6Le8JP7Z8LFzQ8wC-vzO4M4BO0XN2Lg34xtO-qfhIzZtNfHoDr_GLBRB6vetcvrvT_1gDXls9g86Q1E8NfNFsqvOt0VZbrBdiljVhBVy9ovgCZgRqPsgJkj0sMi6rH0oah51eRhzREG7LYNud7A3KAMk36HNFAvh6mCOEOw_nv1VpHnSN8PyHkswY_mg6xB1rMA0XWNrkRTIUgFo_iTlapX6JsIKLfM3Vp0E40OzWmUH_uTqkOMwvgW9gY41c3vvZmKsfIfkH7UR02kuNVRf2YQ-DWcjdF_G-t6dXUQytYGXDegaFrGLi3ZXpvMDtXgsBMaQpZ6Dg9TlZEzVgEf7grFAGECbcSasgtmgkEo8rh8EPCxl6Ogrod3-nDp6CHbIAxa-NGCWpBosv4H-YqGjFs5UZqiOvkfF9iAk8nUWvXWQ6n95BjAVuUvLAcRQQxYoxD2dw9q0Eymb1WITrjD1YrP0SCAep8cnt8ZcNMceeksgwlwFIjqfYFX2OS21kLeqjEjFQj1O238bjHTIQ3LWQI1J1hber9H1q8SuzTgWnVuvoy4L32-ce7S5o4iHra7neMrwn-V6BWT9D-YYfayERkvNk40ZL7zKPx3n7h_HTNRhh.k-ni1YHSYUMQBbVbshYy_w/__results___files/__results___31_10.png\" alt=\"\"><br>\n<a href=\"https://www.kaggle.com/aussie84/product-profiling-and-price-trend-analysis\" target=\"_blank\">source</a></p>",
      "rawMarkdown": "Hello! Wondering if you managed to pull how many of them (count wise and %wise), and whether you ended up removing them as outlier from the dataset?\n\nWhen I look at pricing history, there are sometimes deep sales, so some people might be buying in bulk to be resold. Might be a visitor from smaller city who go to big city, purchase in bulk, and then selling it to friends / connections / retail?\n\nE.g. this item, there is one day with super deep discount and then the sales went really high\n![](https://www.kaggleusercontent.com/kf/88295392/eyJhbGciOiJkaXIiLCJlbmMiOiJBMTI4Q0JDLUhTMjU2In0..1JurjRWfUEP1bo_PY3UBEg.tmiTyMGhJD3Hm5uhGQ1oxfkTycBg8nyeCfVjLT0y9ZiTLfcjEVrG78ECkAOrWEBOW-KxtgkL_INBYl8_Vss6Le8JP7Z8LFzQ8wC-vzO4M4BO0XN2Lg34xtO-qfhIzZtNfHoDr_GLBRB6vetcvrvT_1gDXls9g86Q1E8NfNFsqvOt0VZbrBdiljVhBVy9ovgCZgRqPsgJkj0sMi6rH0oah51eRhzREG7LYNud7A3KAMk36HNFAvh6mCOEOw_nv1VpHnSN8PyHkswY_mg6xB1rMA0XWNrkRTIUgFo_iTlapX6JsIKLfM3Vp0E40OzWmUH_uTqkOMwvgW9gY41c3vvZmKsfIfkH7UR02kuNVRf2YQ-DWcjdF_G-t6dXUQytYGXDegaFrGLi3ZXpvMDtXgsBMaQpZ6Dg9TlZEzVgEf7grFAGECbcSasgtmgkEo8rh8EPCxl6Ogrod3-nDp6CHbIAxa-NGCWpBosv4H-YqGjFs5UZqiOvkfF9iAk8nUWvXWQ6n95BjAVuUvLAcRQQxYoxD2dw9q0Eymb1WITrjD1YrP0SCAep8cnt8ZcNMceeksgwlwFIjqfYFX2OS21kLeqjEjFQj1O238bjHTIQ3LWQI1J1hber9H1q8SuzTgWnVuvoy4L32-ce7S5o4iHra7neMrwn-V6BWT9D-YYfayERkvNk40ZL7zKPx3n7h_HTNRhh.k-ni1YHSYUMQBbVbshYy_w/__results___files/__results___31_10.png)\n[source](https://www.kaggle.com/aussie84/product-profiling-and-price-trend-analysis)",
      "votes": 3
    },
    {
      "id": 1712847,
      "postDate": "2022-03-05T12:15:46.327Z",
      "content": "<p><code>2. Buying multiples of the same items?</code></p>\n<p>Well, I do this when I found a basic item that fits really well. Either in the same or in a different color. <br>\nBut if multiple items goes beyond, let's say 4, the resales hypothesis makes sense to me. </p>",
      "rawMarkdown": "`2. Buying multiples of the same items?`\n\nWell, I do this when I found a basic item that fits really well. Either in the same or in a different color. \nBut if multiple items goes beyond, let's say 4, the resales hypothesis makes sense to me. ",
      "votes": 1
    },
    {
      "id": 1711002,
      "postDate": "2022-03-03T14:45:21.970Z",
      "content": "<p>What could be the reason for some customers who are:</p>\n<ol>\n<li>Buying many items over the course of time? As an example, I looked at the purchases of one customer who had 965 purchases in the data set.</li>\n<li>Buying multiples of the same items?</li>\n</ol>\n<p>These don't seem to be typical customers. Thoughts?</p>",
      "rawMarkdown": "What could be the reason for some customers who are:\n1. Buying many items over the course of time? As an example, I looked at the purchases of one customer who had 965 purchases in the data set.\n2. Buying multiples of the same items?\n\nThese don't seem to be typical customers. Thoughts?",
      "votes": 1
    },
    {
      "id": 1711761,
      "postDate": "2022-03-04T09:51:16.900Z",
      "content": "<p>Hello dear learner, </p>\n<ol>\n<li><p>If a customer is buying many items, you can consider them as the \"Cash cow\" obviously decent firms/company/stores have such customers who are the most profitable ones no one wants to ever loose. </p></li>\n<li><p>If a customer is buying the same item over and over it shows his affiliation towards it maybe he would've been considering it necessary to make life worthy. </p></li>\n</ol>\n<p>(There is no problem with the data itself since these aren't the numerical values where imputing the data with their respective columns medians or means could be a possibility) </p>\n<p>Feel free to ask further if having any query.<br>\nWish you luck with your ongoing competition. Happy learning ^_^ </p>",
      "rawMarkdown": "Hello dear learner, \n\n1. If a customer is buying many items, you can consider them as the \"Cash cow\" obviously decent firms/company/stores have such customers who are the most profitable ones no one wants to ever loose. \n\n2. If a customer is buying the same item over and over it shows his affiliation towards it maybe he would've been considering it necessary to make life worthy. \n\n(There is no problem with the data itself since these aren't the numerical values where imputing the data with their respective columns medians or means could be a possibility) \n\nFeel free to ask further if having any query.\nWish you luck with your ongoing competition. Happy learning ^_^ "
    },
    {
      "id": 1711347,
      "postDate": "2022-03-03T22:02:41.523Z",
      "content": "<p><code>2. Buying multiples of the same items?</code><br>\nAccording to me it denotes customers who purchased more quantity of the same product if the purchase date is same &amp; if purchase date is different then it means repurchase of the same product by the same customers.</p>",
      "rawMarkdown": "<code>2. Buying multiples of the same items?</code>\nAccording to me it denotes customers who purchased more quantity of the same product if the purchase date is same & if purchase date is different then it means repurchase of the same product by the same customers.",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 1712036,
      "author_name": "Rafael",
      "author_url": "",
      "post_date": "2022-03-04T15:07:14.597000",
      "content": "<p>Hello! Wondering if you managed to pull how many of them (count wise and %wise), and whether you ended up removing them as outlier from the dataset?</p>\n<p>When I look at pricing history, there are sometimes deep sales, so some people might be buying in bulk to be resold. Might be a visitor from smaller city who go to big city, purchase in bulk, and then selling it to friends / connections / retail?</p>\n<p>E.g. this item, there is one day with super deep discount and then the sales went really high<br>\n<img src=\"https://www.kaggleusercontent.com/kf/88295392/eyJhbGciOiJkaXIiLCJlbmMiOiJBMTI4Q0JDLUhTMjU2In0..1JurjRWfUEP1bo_PY3UBEg.tmiTyMGhJD3Hm5uhGQ1oxfkTycBg8nyeCfVjLT0y9ZiTLfcjEVrG78ECkAOrWEBOW-KxtgkL_INBYl8_Vss6Le8JP7Z8LFzQ8wC-vzO4M4BO0XN2Lg34xtO-qfhIzZtNfHoDr_GLBRB6vetcvrvT_1gDXls9g86Q1E8NfNFsqvOt0VZbrBdiljVhBVy9ovgCZgRqPsgJkj0sMi6rH0oah51eRhzREG7LYNud7A3KAMk36HNFAvh6mCOEOw_nv1VpHnSN8PyHkswY_mg6xB1rMA0XWNrkRTIUgFo_iTlapX6JsIKLfM3Vp0E40OzWmUH_uTqkOMwvgW9gY41c3vvZmKsfIfkH7UR02kuNVRf2YQ-DWcjdF_G-t6dXUQytYGXDegaFrGLi3ZXpvMDtXgsBMaQpZ6Dg9TlZEzVgEf7grFAGECbcSasgtmgkEo8rh8EPCxl6Ogrod3-nDp6CHbIAxa-NGCWpBosv4H-YqGjFs5UZqiOvkfF9iAk8nUWvXWQ6n95BjAVuUvLAcRQQxYoxD2dw9q0Eymb1WITrjD1YrP0SCAep8cnt8ZcNMceeksgwlwFIjqfYFX2OS21kLeqjEjFQj1O238bjHTIQ3LWQI1J1hber9H1q8SuzTgWnVuvoy4L32-ce7S5o4iHra7neMrwn-V6BWT9D-YYfayERkvNk40ZL7zKPx3n7h_HTNRhh.k-ni1YHSYUMQBbVbshYy_w/__results___files/__results___31_10.png\" alt=\"\"><br>\n<a href=\"https://www.kaggle.com/aussie84/product-profiling-and-price-trend-analysis\" target=\"_blank\">source</a></p>",
      "votes": 3,
      "replies": []
    },
    {
      "id": 1712847,
      "author_name": "Melanie7744",
      "author_url": "",
      "post_date": "2022-03-05T12:15:46.327000",
      "content": "<p><code>2. Buying multiples of the same items?</code></p>\n<p>Well, I do this when I found a basic item that fits really well. Either in the same or in a different color. <br>\nBut if multiple items goes beyond, let's say 4, the resales hypothesis makes sense to me. </p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 1711761,
      "author_name": "SJ",
      "author_url": "",
      "post_date": "2022-03-04T09:51:16.900000",
      "content": "<p>Hello dear learner, </p>\n<ol>\n<li><p>If a customer is buying many items, you can consider them as the \"Cash cow\" obviously decent firms/company/stores have such customers who are the most profitable ones no one wants to ever loose. </p></li>\n<li><p>If a customer is buying the same item over and over it shows his affiliation towards it maybe he would've been considering it necessary to make life worthy. </p></li>\n</ol>\n<p>(There is no problem with the data itself since these aren't the numerical values where imputing the data with their respective columns medians or means could be a possibility) </p>\n<p>Feel free to ask further if having any query.<br>\nWish you luck with your ongoing competition. Happy learning ^_^ </p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1711347,
      "author_name": "",
      "author_url": "",
      "post_date": "2022-03-03T22:02:41.523000",
      "content": "<p><code>2. Buying multiples of the same items?</code><br>\nAccording to me it denotes customers who purchased more quantity of the same product if the purchase date is same &amp; if purchase date is different then it means repurchase of the same product by the same customers.</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1712036": "Hello! Wondering if you managed to pull how many of them (count wise and %wise), and whether you ended up removing them as outlier from the dataset?\n\nWhen I look at pricing history, there are sometimes deep sales, so some people might be buying in bulk to be resold. Might be a visitor from smaller city who go to big city, purchase in bulk, and then selling it to friends / connections / retail?\n\nE.g. this item, there is one day with super deep discount and then the sales went really high\n![](https://www.kaggleusercontent.com/kf/88295392/eyJhbGciOiJkaXIiLCJlbmMiOiJBMTI4Q0JDLUhTMjU2In0..1JurjRWfUEP1bo_PY3UBEg.tmiTyMGhJD3Hm5uhGQ1oxfkTycBg8nyeCfVjLT0y9ZiTLfcjEVrG78ECkAOrWEBOW-KxtgkL_INBYl8_Vss6Le8JP7Z8LFzQ8wC-vzO4M4BO0XN2Lg34xtO-qfhIzZtNfHoDr_GLBRB6vetcvrvT_1gDXls9g86Q1E8NfNFsqvOt0VZbrBdiljVhBVy9ovgCZgRqPsgJkj0sMi6rH0oah51eRhzREG7LYNud7A3KAMk36HNFAvh6mCOEOw_nv1VpHnSN8PyHkswY_mg6xB1rMA0XWNrkRTIUgFo_iTlapX6JsIKLfM3Vp0E40OzWmUH_uTqkOMwvgW9gY41c3vvZmKsfIfkH7UR02kuNVRf2YQ-DWcjdF_G-t6dXUQytYGXDegaFrGLi3ZXpvMDtXgsBMaQpZ6Dg9TlZEzVgEf7grFAGECbcSasgtmgkEo8rh8EPCxl6Ogrod3-nDp6CHbIAxa-NGCWpBosv4H-YqGjFs5UZqiOvkfF9iAk8nUWvXWQ6n95BjAVuUvLAcRQQxYoxD2dw9q0Eymb1WITrjD1YrP0SCAep8cnt8ZcNMceeksgwlwFIjqfYFX2OS21kLeqjEjFQj1O238bjHTIQ3LWQI1J1hber9H1q8SuzTgWnVuvoy4L32-ce7S5o4iHra7neMrwn-V6BWT9D-YYfayERkvNk40ZL7zKPx3n7h_HTNRhh.k-ni1YHSYUMQBbVbshYy_w/__results___files/__results___31_10.png)\n[source](https://www.kaggle.com/aussie84/product-profiling-and-price-trend-analysis)",
    "1712847": "`2. Buying multiples of the same items?`\n\nWell, I do this when I found a basic item that fits really well. Either in the same or in a different color. \nBut if multiple items goes beyond, let's say 4, the resales hypothesis makes sense to me. ",
    "1711002": "What could be the reason for some customers who are:\n1. Buying many items over the course of time? As an example, I looked at the purchases of one customer who had 965 purchases in the data set.\n2. Buying multiples of the same items?\n\nThese don't seem to be typical customers. Thoughts?",
    "1711761": "Hello dear learner, \n\n1. If a customer is buying many items, you can consider them as the \"Cash cow\" obviously decent firms/company/stores have such customers who are the most profitable ones no one wants to ever loose. \n\n2. If a customer is buying the same item over and over it shows his affiliation towards it maybe he would've been considering it necessary to make life worthy. \n\n(There is no problem with the data itself since these aren't the numerical values where imputing the data with their respective columns medians or means could be a possibility) \n\nFeel free to ask further if having any query.\nWish you luck with your ongoing competition. Happy learning ^_^ ",
    "1711347": "<code>2. Buying multiples of the same items?</code>\nAccording to me it denotes customers who purchased more quantity of the same product if the purchase date is same & if purchase date is different then it means repurchase of the same product by the same customers."
  }
}