Marketing
September 25, 2020
Chinese consumers are changing fashion and retail, and modern technologies and analytics are helping brands develop smart models of buyer behaviors. Image credit: Shutterstock
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\/GrWXFoyIQyCnnLD3XEHvKt\/lwyU+A8JM+41XwBVVAvH+ZuZ1C+qeqpHc7imaUJ9cmgDE4DrOUXFKaWEnT9KK5vDF3MIVdLlvuJhBDo5akIMPQgSGjA+Q52Vb5rhPvVqpycSkFuz4q2qKx27RSK2zcwV5cwoLEXGAtUv3gbuI1Fvqj2H5pHHZXIL9nQjX8elh6yqy0IrNL6HcMTraruj\/wFWFVMBPK\/oRFRxxt\/PSNHcFQJ8oaX+2gCzbEuLScA4grIFhmp7eWd0Bw+vWjbtnwkKf4\/ZIJrxpFWWR2jDouxO6U48eTexaaaMPMpTEi0tBVqLDSiicKVxz7+0UniU1d7\/bPV\/tQn2dX5d3c750rHt2K7mFNXvQzxAR5akmT1WKSwrXBqZ+6v3JazR5IxSJHQnAuFggUSKp468hwBBv0VFa6eZ98ebgrKVPc4FHbfEbT87Qq4WIQnd4h42kxRi4ZQbCixhc8010VXaQlieNjvg5HhmBf9Hl7\/I2S7TP2T+Fp9mYMLAcZXKbxCLG25Ux1\/SzIOMXy+HXRr0ao7f0G9HP4TLHiSw5qD+jxkHWIj6c7B9qTWm9gV7CWiSMqP9xsPk5q1PVZUqq+wNT544Tg8OywPlrz8fdnoCXDGTLUGzFNUONdSq4urWLwG37tVC4eyNoSmtjopeT3\/SdXgejeTSa+0bNhEyJQK8yINMMpl7B1sAwfugHKzfgLy2y3BZGES4GeXbLd+9lAsy\/chgv0Ht4er2Ma4Cq2nZJMzFykxP69KjaVhPMqBDK1RiL3eCFr5o\/WIVGcZ2vks4X0i8UlyaGlLvH9uMJDk+fwQU9zGhL3Ato8S39tkPkLMnW3D3G\/2hE3USBy9vhlvFHrf3axI4j4adSTvx8Fat73GA8BbuBwWs\/OmgUeao0C+KCxuUQScVfM7UU0267HejfO4lGTdRLyHFTm9lugzLr0X0kxyoq0thXML8WKh6WMe+HlITNQzJ7keN35\/6zzpwL8O7iZ9\/5Y88tSwGUrV0+UM4H1twQz0KWTorcz61UKXYA0IUet9jxHE5NooskW6NBulZ5q1n93k6DaQZUNXhlwGQTUaWnB1gi4VanKS\/mqg8O2x9PKQFeHGX1hCP8SwtuXUHk+pBjp+Vps8I6h5DQ\/NTcUkw644Wcx1J2GWWRwiFp9dG+ta7hm3qfIDMgmRO\/bThAr6Tv3exKmNK9U0nKQsh6TmpYZY1ErrtMTk2l+B3SUob12lcrhb3VNRLmQmIu7xif4GMg3rqGsMn9kBdWUSAXCmQdXZrp6Pr2J2uwLwd2iPy5eNhUjMcA7EyZR6mEZq7ZIGAw66KKMIm0nHewzDzEdNPfesMzmct3RtaWz7lPhqew23+5Sq7djCMcE36llgjJknldW+iTaGAlKEbaPdDAicdC\/GTfoNq2p\/1bUkWbq8sJBUlcRSfeEvv\/1GVnT5OrwmjfDUyVS2ehv6hYXD002+nKSjLmW8Ye1L4bH7l06AxP+\/upA6W8wVJbqCpdloF\/WwcfZo4ZOhuowvN1hRaOVT+B8jryuDsSgtxU2ThPtC4HDSo\/sOoxDjxyLLNHo9hYU9kxCmv1TSTt\/bLWLA5gYViSrhpbt5QesKM2mu0PdDLy92pYYPPXgXRT550wWid6hzr+9ufNkvOg6JIYg0hSh3acuyMomtK9bYdPWZsDL3\/0zZrGdb\/7ufmADLdP4nRraXXI8tYOQ1PCb3Whh5gjeZGkg62CiMmfglpGHqT6RcPHtUJK4mCbVFpwTvo\/pBgyuXv9+SGG7Tm\/2y1wx5WdyvheOnIclRGVZF5xFSSnFLCArAM9zxZBVfs\/t90iD5rS0vjgLyQEjjSLB7QK43Ar60uoXmUkSB4UcoaVdXvQ8YmPFjqYGHArW\/3pQ7iRBG3W8BHYgFeBVJl0T8KCP21J6halqB0D+Mv5J6EKtx4rdKkAqgR9Vy8jSKpmmxYN1psHozsPLI\/P0jlRaZVSnLR5uw2vedvSXUvhvEqYxASlyj4pW1d7CQ5+V0yb0W01arbICG3sz9XbVaWzBLpZcoASKA45Vb+mqm9+KGlkUEL4nSm7AlJx6G7rom9Rlq+swR\/Gio6sUaPsiIjHO0xVXtzo6OA6lXjQkBD\/dK4\/SkmJOLWAz4so4NeMPAVAZnjbzvYT+W+ulw2TyViMAY6LOknut0UUEXDQAIj5Ey\/dtNw0Iq42deFXyq5+WSMsPUE8ErdHrYaZWn34AWbIB6ZUriul+KF9iHyO67DBjOss4skpWLDM0cWeNcbZhw7peO04O5e7Zq59pK6mr0Efg7DlH5ccu0EC5w4o9s2qYV3k4YB0CwJt3PXCOnQXeJflW9J2Evl0055UjW3IQ\/ZHgyTKwBz8Eezg\/dCKDJNGevaIlGAvAJNMwrYnQRz60hGcLq+Q8dCbDaXUjc4U2nIoCU3vkFZ2mNW60CbaYA\/CpQMg2SXW0Q6FbDqtdhCQkO3xSnIEhyKgFhPdCcqXZur61vKKyWDirfDmf03wfTytQ4T1w4Uy+sZhP5Nttg7\/43CJw9kQ0mqItkknXBWeCkOuQ0VSOpqtihzuv6XmsCOjIqTE4Cdr3hxTr9AOmMcmTmZ3fBsw24oWeishwrFthInj4yKAhbOYIqNS3mSW\/C3h9VjCOgaO4USd1uD\/jSlX9zXz9hAxtAIT+p8r1\/Ep3VnlVAM1V3sffYNdJeICppIAVX7fjEpduYBU2zWXlQxzjqtN4JDPrID3B68T9BkT98hQwhwBQ5ckJ0oh9zqfspkcA7cuDNhwdSBnE5WyStVDCtMtTb+yen0bf1U6xXE2Tt5RfxEXOxcDX4DFcvfRRv3Vr1daFAYybo5Tq6wP6vN231rGC2g3w\/eYH86aDic0tqCZTrtzC9SVmEtgG4PrqzXbWXdA9Y2x0sU+4L7ZWR0PGia\/N1P29pmwNHomQZ03bHSpCFZbzrmWc1H8PmFE2H5PDfklAYC9r9OzREbAoy+HgZ6EkGWXCQgjwfEzkBG5WU3GdMkuNu3+vsYQVcO2ONMSAkoKth6scAz8Ubjchpdg22clfVguOEzUFERQIeq55Dzn51CoBYPbhmgBEue99FQkg+7TGp8WEpQUq7OQTY5cpPqZ9YJ+SBk35K9a9PGhrTzY7KL0Tdj+0DTbBSDPMDO\/7pJ3iKbU5fwck3vbnougifS0WPiC4\/X5O\/BdC24uUSENaioSR\/srCFKWg0VQAvDHfSeZY+xwyWoTVI3xO7+XNzySVT+Ftmtl5DcebZPKVXDHTbq4VY8l8irQVBFYl\/LTiTuWXNzzIqTS83u4Zgv5sHHX02TAO\/nTb4XmfQqWWFk4gBdlItzxcwYzq0AR8CkSBywqkPQ4LojPfaqDk64tBeXWjmgFX32BwL+lidp6mqNIxG5mkcx6QtoMHFntCfqHU22q2aEF3l0Nw42WDJEf2ZVn2AapaTJm3NzDCwrQU5e6apH\/5xemCCUwsKBMcRQ2ILu+fE715SvgifpteDu\/2FiK1ut76rFejqwNj\/9efeM+U0kzR5\/PYkKug6NoWKRvvJUlnextCgl3vOMU3KTqG5C6+m8QpwvJNItcONUzWsOD\/x2LBfVZ6gFJijMjSUODcFgPzBv887r97jpZ5mr7DxMptq5ac3Qae\/tsYHQcoDT3AwQX5OP4zbzaPlw++9NW2l1PkWTx\/62FLChXDFHnTFEEKvPRMSKxp\/fqigMpQ9fYFaw+iYkcZPe8Bp8tKr1RMP4BDf8Whv+4t6ruIZJ5MA4e4TeDEHmBXriNLASFWtmTln6dlFEnypRSFndJQnS6tonQkcH9s51C4nyA0UMr6kvbO6U99brIWeaAuddPImWEuxI8v8yRUe0VF9iiA9Imfp3glTLh2k6i+dvx9XZJLFKap2II\/K9OK4GxXrTZC202ozqy6E97KKYMDArSc95inL5jqlwrWddeEbqFvKNVuMDdqopIw9gBXnqoI2tSvBfZYzOb9N0GuPjFzp3cgt+gJ7yCToZbNOoUjqGpTCaGAVFvEpeFy80tn\/diYDUlYhRGbFlCt47qtHtCP32p24gs0Aku+E2tQAiobKnbcAByozAPMbZwoIRKv\/OcMzFxWTkKa+m60ilUCIcs65YY+cOj+RD3KRk14p1K0lITS+68VQEFyBHps\/urDvYxlS5bAGBMY+XiHtykm51A2uh6ApAlUMiUFdYTY2Zuw8avd2ADs2ZUPqh54\/3OBT7FMLXuvyFarqMy842VBk+M2CNCrToqtwbJ1\/1Gt+EGRawwCEcNIGgqoGHNMIJOUf9S4DumW1B8zyCXdhSLgF6FA2WZPld0mkIN7UjYnm9CYhagRn1OgmtaJZRsh+DHVBVCRkfB+IPJg9BZRNFjBfaiYfBqk5y7QBCrMRy8FM2H2OZNGlRQzJOWoO1dodvjXiowXKzAE74Zhkmqzw7X4iCyG71b3E5m8rze2cbJg5hfiuB46tr6x\/kBq5LAn\/QXqmrgnz05lkXCm+4PEWQEJ8j8OzOos3fVCjEmaCsNejuUUHWrR3sLjhBvW+FDT7tQrOdP17tGH9Yw3sYl6hRli6BMRLy3t2RzdZLla5edH3Awfl0YcuqXEwZHZSohsTbyfQqX3PeubBOuvp6yOJZUCqYiT4q5oaewhFc\/cOf+7RYgvPq55d5BsZU3q6tAWZdoY1BnZfiAO6\/1FVcU1tg6dF97IcdrvztzhDmfpnGGMXXm05GdS3zJmWI9rB5Q\/lScvMtrxU6b19NVbuqB9iX766mWJcd11z6EhaOCL3RE\/bR7dsjFkocdSJ1zJBHnTq+HQuFCeLYGxWbKjREZhwH9Ca\/zkdI9\/LAwp1C7VULLCYyf9fBo9SEJOBxgawo4JeD4U2LgxIocd14MK6o1hZIhLiYDTQqqp0PS6lhWKjkxD3eHuTFSqz2RNYSgP9nA+S7mrSw\/2qXDYG6+Mend74GsDkjMJkM6zLacrevQNsMBcjJ+rJwarAi0D\/B\/1giWXfIjrvx\/\/v8ETp6RsrMkGc7cZ3U5o4O4TKUJ4TMkw7g0gJw+QXaM7\/rMVblnIGcr2hzHcJPd6UYworX2sjIGhGALALv7HeMkSAEzK3HRvcogax6qQUuGjc\/d73fO2c693dlMdmkUmjPCCwZvNPy1Gbfa57HHUdKrhHmcQxMOUyv0AHYqIguQL9MLL6D\/0lsxKzHr2cz+H1PUYSB46nI27ZhTYBEq1CSDBrZw6quQNmRHvcD+NoDQGajTNdwlZaoP13WZuitanMrNbQRe60qBKTOcHU6+\/ry238UETd+nK8\/jMJhC+7eOr5hng05BpcuW2ZyAO6doTczYP36hU5SLCpLdQIpZLZyDCnIbkZ5nRJlfq4zwzJiFOAOjVwXiBVZ7tFKjVMtAFwZV7dcut1h+4Lyq4\/h58iTebVbjyXJibt3QcVkV64ziKSAayQ5PpyzYVZCgMY17UsKXmpmfzRC8pL+KggHPCmZ82c4\/NUjnnORvwgyshdvSX4VCpA045s9ve1xewpUBFoixqfyHLSwf0MA4RKituB5euetQaYXBEE0I52KEjuFcsLbKUuSvpNvKCI525RM5p0+1+q9v2awAH6Ddhkvgad7zZxrM9L2yMoicUHTYBKveEd5k03MHfZfV05bxna6LFCNpP3mMRPX6Yos41UM73HYEhkoWGPZMi9bkjLsyWR6s9I+x6rTAkAGV8VQ8puK+DS56pMsJp6Qv78fNRw2jniPsL54HHhx4VS6j2Q1jNnDcmx4cj8DULZvE1wwlep76eB5vW2E+WUoaCDEdC8l+DVd6zrsQnQgIAqxV1AyysvUyO37Q74oy4Yc7xLr\/rux7bhrfoCXFo0+heW\/iSBCZ53EHGF+To4yF9uCHKNbv7CFos+63xAhp5z9LqQirRHNM2nwW751oICDMuhp6785yphcAbx84d\/grqOVeqhVYjCg2nZPjbojR1ReDKdOhmjs8Nz3AqDhZasCetX8LXHzIZWRb86aaMARHlhVdvdULcS\/XKTOLFCb83QslBdPMYJh6i2GPE1cXqemxIj6OjXS2P6lG1xYQhsQ8dYH\/Zxy7Y\/SVK7BJS7\/O4Xf8J+r5aBJOqNb69y8pLJQfoqUSK\/67WSOcnRovBkX4rKT8sMZlvZckJw4CSmK5L4905aMUbnN8g+gtvHYBtMrk4GGt8MYHGxuK96Y2MmVurbIqdVklFEgiHpJJ76\/+DVpbzr0DFVsJURBcPiMzXFWf4L3oBMmL1JdWGcjpH+r\/HCIQgk8XeqN9lr5DgHhxi0+8ZGHDMyBPea+rxQ\/y6h4c9ZmIcqoZez3aYab49VC2Hx9532LQWa\/viIx8Zh\/MfrUo4sj7n1jmuQmQG0yXlg3YteSF+6TOvygps\/LTR\/6k+xEDUTOosyMWg\/TJJNEsBJEH56UWR0jALL\/YP+DFlQRpPy0ZqTVjJRBzt+\/ZLeFsGhfGlRoJm5EbrJ+izqub0Z1gzlohnfHvvkR3ZnxN0TLovmTjgMDRFnznKJBQVPCWNcLxHh7Nv7yIrceTeHkZriz\/ieeg7vbpYUmJz6GZigJ3Yd+hwWi\/jP3Mfa9icKb64iN\/f51ur8EI8eCGvbXEzv4UMQwq0haB59n447NvmE0uf2BbOuA4M4jh42eLd+gl0bdgK+X9FPhfFo4lM4ZKaA1hO+NPiBK8w3XWZEk9hV\/qIgm2SX4BX1X+QAMie6l5hO0CkzUuF7aZVc3YRZlCs2u+wRGJV\/rRkDSHZpNDPuX6GCb4Bv9WRdPKqdoFxqdMiiEJWkGAy3WTxlX8N4NMqhugGgH9D8TlEjJV0Jzn\/bWeSz\/UxSKCRHDJM7Ysx9I70b88nVQYK0gW2Atf\/t9eEXwLTlkXCcl0D+h8feGaW\/GxO7upExvSSHsORVkw0BsafLMgO27x5SOvIKInXJTBzLPGBt5k9dfRD6HCZ7\/iwXzN\/FNAq8UzG3a9M\/TuOFyFRrH8+YcZgdrY80UgzxLyJy8jxuZrZntZasd7rnGK5EDv4b1S0YZQ9rSUs46MIeg0qun4FrZ9wnxCR8+KbG1q+kfejA3ukqXDVCMtMpmgcXQpU+QXGTmZ2Wu+PpupJYvYE4F53Rdy3gbJAQuo7\/i\/TfUEpS3mGfxJIzWMlrXP27S2DZUiJIgAwLWQURkBGSHJ9h72Yx2FH3KzrO3rG\/270e4XDM7Lf4wCX5Ax0SkffPe4wOZ78awwC5SfKQ04OubPME3vo+bdWP3JFGZAtlJe\/EVExhjxE5Lq10JKorlroMwarb+4TkYnU9DQ9IXltTBKKce1W0S4zp2JWqt28\/K5FXhvTbRBLZcVD3h0NueP2sSbLQXSnKTSFriSrVYf2K0QayYVOOuw8rJneRQKaFTh\/qoF8H\/WaquUBViY5Fg2SplthAy3f7at8ALBncA6p5fGodQD43fA3VZ4Te3ZGB05MSybwaFmbV01PO2raMoEUl+SKKvAWFUPOOCbtmYtdA1fOU\/1h2GTz6tXrKFmQWR02JGHgQsB9wh9tmnbOpUaa6bM\/gT1s0miL5ghBPYGg64+a183Gt+NVAw7spCs+4UsW\/AQC9s7srGWHScl4d\/c2fGA+TEsplZ8xT8XX7abbVfkCEKLdd41P6qHQyikmmq\/a2WOXxSbFPKUPizOJKnHpyCmePfSH1nE477QFMaEGdWlKGp1vRuKlT5869RoOjVXgQwNOeIhtOoDVd9RbeENbvcbQ\/FDpn7z3\/5lCtnCzZUZwlBtcCCnCZpM+vGiOGBQvhZxZUMZtScPGy5tF01nmKqVwHrrKHbXxGJEMaHJROqh0PkIJ\/3khPbwcB8TsIF9lvNCKQlosEDJyvC3MNtDlgnMmXrL49YKbyMFxnT5ey\/lG3E0bM9YShKvDHbQXP1L4nKQR5R6zxwVvwYdB3l1+xLb4zFsNFdQ0cfbO+7ulfx4vczJUGOY5Yw93b1lvoo4up4+XiSi2XqPmn78XjKUttBDsIxqQKMP6PA0TUbL+CeImyUVKkm5a8C4M5lOgpGXfl7zyYwlVIf6ZqiJ3Amg2IzB8WHt1OLxsbq6SDjxskfpoNh7ubcQHTlO\/ZOyitadHxgk+DsQcQdZFURoLTNS7\/k9WRZVwl+tCAfSSAIZn74RasePitIyM\/w15zEwg9rejgxQuXPZHROaAwbmiEB8udlTJIzzPI\/m7UkwUjTAwlhRhs0sZtVz2Lu8zoNS9wEHS4SH8ujjFA1MwlScCo2Z\/zAhFL1YTn3BRyeC+4mvQRnThbQhKBsyYL46m3fOIE35zz+FoJeqUnN+n\/729cArnbqR9MOD\/VGWmn5D\/LnsaB4qiOW9m8KbY5iOrvipRp5CCaKuzO5\/Y1DvqriwptVa\/c1w0WRfDZQBiHOL4UUgXhBB8Cb4wkJ+pToo+xeX0116IQuQ419VwMkELpFwO5VI1Z7Ih2KxSKEhNwLvEIkGMbrO7KwCy8ti0mPm30eSNB9iIlg\/McVul140EyuJc4JuaLVyaH43zPb\/Qm9UONzzs2viDrw25hDFEUfjp\/fBIHa1R\/C6G0xT2gf3sv5gOK6OHv4LjZ+7jmJPTgFC2E979bjtVCEgeUWS7aY1VBKKpg\/V8h\/YSzuZhWLvbGHaZmUIqS5nsejWkajsL0DwA83y2Es8PI2XfLWmnTa2UD5ntAq+evBwFT2v0Y4Bv9TviG3ReyZ4YNK8K\/F6uwArJbZWGZbKORfHrkc3On0EaEBzVp0kA+AZeacAG8QNWe5\/w\/pLNS0dy77CfYQaIZ0Y+dQpVD440goaH5A\/zAM5nDpW7EQ1ILi0xsQfMCjlEUwE6RTEmYheQVTGTpmrmCcnz9OH4HRbp4azAMEO9UnhZJkxLHk4kODCL1V4V7T90hAnaVxcGNep0tCnXgrUv5j5VwaHhYZGRbdmBfB\/0ZAAdyd4LMrHbeachD+ngWNrgBkhwQZNWq8\/z6XEHdSJ1bVNNISDapQVC1CPzXy6aYYaUL1rV3vT0MM+2hFtsr0k34SIPr65Pxp2TPTCPzxnUnNjylha4uHh2OQmcFGtp3xfyuLPiwfdDKLTTqf128soL26XLwPbEyo3YEQYnG\/KKfoqeLjxctX6rPtCmg==","iv":"207e6e1ccce57f666e29b0227408dcad","s":"d4c645aeac4686f2"}
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