![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260804071632-6a7191d00c322.png\")
<\/p>\n\u88ab\u641c\u5230,\u4e0d\u7b49\u4e8e\u6709\u4eba\u52a0\u5165\u3002\u4e00\u4e2a\u4eba\u4ece"\u5728\u76ee\u5f55\u91cc\u5237\u5230\u4f60"\u5230"\u771f\u7684\u70b9\u52a0\u5165\u9891\u9053",\u4e2d\u95f4\u8981\u8fc7\u597d\u51e0\u9053\u95e8,\u6bcf\u9053\u95e8\u90fd\u5728\u6f0f\u4eba\u3002\u672c\u6587\u7528\u53ef\u8fd0\u884c\u4ee3\u7801\u628a\u8fd9\u6761\u8f6c\u5316\u94fe\u5efa\u6210\u6f0f\u6597,\u91cf\u5316\u6bcf\u4e00\u73af\u7684\u6d41\u5931,\u5e76\u7b97\u51fa\u54ea\u4e00\u73af\u6700\u8be5\u4f18\u5316\u3002\u6570\u5b57\u6765\u81ea\u6587\u672b\u811a\u672c\u3002<\/p>\n
\u524d\u9762\u51e0\u7bc7\u804a Telegram \u514d\u8d39\u6536\u5f55,\u91cd\u70b9\u90fd\u5728"\u600e\u4e48\u88ab\u641c\u5230"\u2014\u2014\u7b80\u4ecb\u600e\u4e48\u5199\u3001\u600e\u4e48\u5728\u540c\u540d\u7ade\u4e89\u91cc\u6392\u524d\u9762\u3001\u591a\u4e45\u80fd\u88ab Google \u7d22\u5f15\u3002\u4f46\u5047\u8bbe\u8fd9\u4e9b\u4f60\u90fd\u505a\u597d\u4e86,\u88ab\u641c\u5230\u4e86,\u65b0\u95ee\u9898\u6765\u4e86:<\/p>\n
\u88ab\u641c\u5230\u7684\u4eba\u91cc,\u6700\u540e\u771f\u6b63\u52a0\u5165\u4f60\u9891\u9053\u7684,\u6709\u591a\u5c11?<\/p>\n
\u5f88\u591a\u4eba\u9ed8\u8ba4"\u88ab\u641c\u5230 \u2248 \u6da8\u7c89",\u5176\u5b9e\u5dee\u5f97\u8fdc\u3002\u4ece"\u5728\u76ee\u5f55\u5217\u8868\u91cc\u5237\u5230\u4f60\u7684\u6761\u76ee"\u5230"\u771f\u7684\u70b9\u8fdb Telegram \u5e76\u7559\u4e0b\u6765",\u4e2d\u95f4\u662f\u4e00\u6761\u957f\u957f\u7684\u8f6c\u5316\u94fe,\u6bcf\u4e00\u73af\u90fd\u5728\u6f0f\u4eba\u3002\u5982\u679c\u4f60\u53ea\u76ef\u7740"\u6709\u6ca1\u6709\u88ab\u6536\u5f55",\u5374\u4e0d\u770b\u8fd9\u6761\u94fe\u54ea\u91cc\u6f0f\u5f97\u6700\u72e0,\u90a3\u524d\u9762\u6240\u6709\u4f18\u5316\u7684\u6536\u76ca,\u90fd\u53ef\u80fd\u5728\u6700\u540e\u51e0\u6b65\u767d\u767d\u6d41\u6389\u3002<\/p>\n
\u8fd9\u7bc7\u5c31\u628a\u8fd9\u6761\u8f6c\u5316\u94fe\u62c6\u5f00,\u7528\u4ee3\u7801\u91cf\u5316\u6bcf\u4e00\u73af\u7684\u6d41\u5931,\u544a\u8bc9\u4f60\u52b2\u8be5\u5f80\u54ea\u4f7f\u3002<\/p>\n
<\/p>\n
\u5148\u628a\u8fd9\u6761\u94fe\u753b\u51fa\u6765\u3002\u4e00\u6b21\u6210\u529f\u7684"\u6536\u5f55 \u2192 \u52a0\u5165",\u8981\u8fde\u7eed\u8de8\u8fc7\u4e94\u4e2a\u73af\u8282:<\/p>\n
flowchart TD<\/p>\n
A[\u2460 \u88ab\u641c\u7d22\/\u6d4f\u89c8\u5230<br\/>\u66dd\u5149] –> B[\u2461 \u5728\u7ed3\u679c\u5217\u8868\u91cc\u88ab\u70b9\u5f00]<\/p>\n
B –> C[\u2462 \u770b\u5b8c\u7b80\u4ecb\u613f\u610f\u7ee7\u7eed]<\/p>\n
C –> D[\u2463 \u70b9\u8fdb Telegram \u9891\u9053]<\/p>\n
D –> E[\u2464 \u771f\u6b63\u52a0\u5165\/\u7559\u5b58]<\/p>\n
\u6bcf\u4e00\u73af\u90fd\u6709\u4e00\u4e2a"\u901a\u8fc7\u7387"\u2014\u2014\u4e0a\u4e00\u73af\u7684\u4eba\u91cc,\u6709\u591a\u5927\u6bd4\u4f8b\u8d70\u5230\u4e0b\u4e00\u73af\u3002\u800c\u4e14\u6bcf\u4e00\u73af\u7684\u901a\u8fc7\u7387,\u7531\u4e0d\u540c\u7684\u56e0\u7d20\u51b3\u5b9a(\u6211\u628a\u5b83\u53eb"\u6760\u6746"):<\/p>\n
\u7ed9\u6bcf\u4e00\u73af\u4e00\u4e2a\u901a\u8fc7\u7387(\u76f8\u5bf9\u6a21\u578b),\u4ece 10000 \u6b21\u66dd\u5149\u8d77\u7b97,\u9010\u73af\u76f8\u4e58:<\/p>\n
FUNNEL = [<\/p>\n
{"stage": "\u88ab\u641c\u7d22\/\u6d4f\u89c8\u5230(\u66dd\u5149)", "pass_rate": 1.00},<\/p>\n
{"stage": "\u5728\u7ed3\u679c\u5217\u8868\u91cc\u88ab\u70b9\u5f00", "pass_rate": 0.25},<\/p>\n
{"stage": "\u770b\u5b8c\u7b80\u4ecb\u613f\u610f\u7ee7\u7eed", "pass_rate": 0.55},<\/p>\n
{"stage": "\u70b9\u8fdb Telegram \u9891\u9053", "pass_rate": 0.60},<\/p>\n
{"stage": "\u771f\u6b63\u52a0\u5165\/\u7559\u5b58", "pass_rate": 0.45},<\/p>\n
]<\/p>\n
\u8dd1\u4e00\u904d:<\/p>\n
PYTHONIOENCODING=utf-8 python discoverability_conversion_funnel.py<\/p>\n
\u6f0f\u6597\u8f93\u51fa:<\/p>\n
\u88ab\u641c\u7d22\/\u6d4f\u89c8\u5230(\u66dd\u5149)<\/p>\n
\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 10000<\/p>\n
\u5728\u7ed3\u679c\u5217\u8868\u91cc\u88ab\u70b9\u5f00<\/p>\n
\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591 2500 \u901a\u8fc7\u7387 25%<\/p>\n
\u8fd9\u4e00\u73af\u6d41\u5931 7500 \u4eba \u2190 \u6760\u6746:\u6807\u9898\u5438\u5f15\u529b + \u6392\u5e8f\u9760\u524d<\/p>\n
\u770b\u5b8c\u7b80\u4ecb\u613f\u610f\u7ee7\u7eed<\/p>\n
\u2588\u2588\u2588\u2588\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591 1375 \u901a\u8fc7\u7387 55%<\/p>\n
\u8fd9\u4e00\u73af\u6d41\u5931 1125 \u4eba \u2190 \u6760\u6746:\u7b80\u4ecb\u4fe1\u606f\u662f\u5426\u6e05\u6670<\/p>\n
\u70b9\u8fdb Telegram \u9891\u9053<\/p>\n
\u2588\u2588\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591 825 \u901a\u8fc7\u7387 60%<\/p>\n
\u8fd9\u4e00\u73af\u6d41\u5931 550 \u4eba \u2190 \u6760\u6746:\u8df3\u8f6c\u987a\u7545\u3001\u9884\u89c8\u53ef\u4fe1<\/p>\n
\u771f\u6b63\u52a0\u5165\/\u7559\u5b58<\/p>\n
\u2588\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591 371 \u901a\u8fc7\u7387 45%<\/p>\n
\u8fd9\u4e00\u73af\u6d41\u5931 454 \u4eba \u2190 \u6760\u6746:\u9996\u5c4f\u8d28\u91cf\u3001\u8fd1\u671f\u66f4\u65b0<\/p>\n
————————————————————<\/p>\n
\u7aef\u5230\u7aef\u8f6c\u5316\u7387:3.7%（\u66dd\u5149 10000 \u2192 \u52a0\u5165 371）<\/p>\n
\u6700\u5927\u6d41\u5931\u53d1\u751f\u5728:\u300c\u5728\u7ed3\u679c\u5217\u8868\u91cc\u88ab\u70b9\u5f00\u300d,\u6f0f\u6389 7500 \u4eba<\/p>\n
\u5148\u58f0\u660e:3.7% \u4e0d\u662f\u771f\u5b9e\u8f6c\u5316\u7387,\u522b\u5916\u63a8\u3002\u00a0\u6bcf\u4e00\u73af\u7684\u901a\u8fc7\u7387\u90fd\u662f\u6211\u8bbe\u7684\u5047\u8bbe\u503c\u3002\u8981\u770b\u7684\u4e0d\u662f\u8fd9\u4e2a\u6570,\u800c\u662f\u6f0f\u6597\u7684\u5f62\u72b6\u3002<\/p>\n
\u4e24\u4e2a\u5173\u952e\u89c2\u5bdf:<\/p>\n
\u89c2\u5bdf\u4e00:\u6700\u5927\u7684\u6f0f,\u5728\u6700\u9760\u524d\u7684"\u88ab\u70b9\u5f00"\u8fd9\u4e00\u73af\u3002\u00a010000 \u6b21\u66dd\u5149,\u4e00\u4e0b\u6f0f\u6389 7500,\u53ea\u6709 2500 \u4eba\u70b9\u5f00\u3002\u8fd9\u4e00\u73af\u7684\u901a\u8fc7\u7387(25%)\u662f\u5168\u94fe\u6700\u4f4e\u7684\u3002\u539f\u56e0\u5f88\u76f4\u767d\u2014\u2014\u7528\u6237\u5728\u7ed3\u679c\u5217\u8868\u91cc\u4e00\u6b21\u770b\u5230\u5f88\u591a\u6761\u76ee,\u5927\u90e8\u5206\u6761\u76ee\u8fde\u70b9\u90fd\u4e0d\u4f1a\u88ab\u70b9\u3002\u4f60\u88ab\u6536\u5f55\u4e86\u3001\u88ab\u641c\u5230\u4e86,\u4f46\u5982\u679c\u6807\u9898\u5e73\u5e73\u3001\u6392\u5e8f\u9760\u540e,\u7528\u6237\u626b\u4e00\u773c\u5c31\u5212\u8fc7\u53bb\u4e86\u3002<\/p>\n
\u89c2\u5bdf\u4e8c:\u8d8a\u9760\u524d\u7684\u73af\u8282,\u6d41\u5931\u88ab\u540e\u9762\u9010\u7ea7\u653e\u5927\u3002\u00a0\u56e0\u4e3a\u662f\u8fde\u4e58,\u524d\u9762\u6f0f\u6389\u7684\u4eba,\u540e\u9762\u6240\u6709\u73af\u8282\u90fd\u518d\u4e5f\u63a5\u89e6\u4e0d\u5230\u3002\u66dd\u5149\u9636\u6bb5\u6f0f 1 \u4e2a,\u548c\u52a0\u5165\u9636\u6bb5\u6f0f 1 \u4e2a,\u4ee3\u4ef7\u5b8c\u5168\u4e0d\u540c\u2014\u2014\u524d\u8005\u4f1a\u88ab\u540e\u9762\u56db\u9053\u95e8\u8fde\u7eed\u7a00\u91ca\u3002\u8fd9\u5c31\u5f15\u51fa\u4e00\u4e2a\u95ee\u9898:\u4f18\u5316\u5230\u5e95\u8be5\u4ece\u54ea\u4e00\u73af\u4e0b\u624b?<\/p>\n
\u76f4\u89c9\u4f1a\u8bf4"\u54ea\u4e00\u73af\u6f0f\u5f97\u6700\u591a\u5c31\u4fee\u54ea\u4e00\u73af"\u3002\u4f46\u8fd9\u91cc\u6709\u4e2a\u9677\u9631,\u6211\u5728\u4ee3\u7801\u91cc\u4e13\u95e8\u9a8c\u8bc1\u4e86\u3002<\/p>\n
\u9677\u9631:\u5728\u7eaf\u4e58\u6cd5\u6f0f\u6597\u91cc,\u628a\u4efb\u4f55\u4e00\u73af"\u76f8\u5bf9\u63d0\u5347\u540c\u6837\u7684\u767e\u5206\u6bd4",\u672b\u7aef\u6536\u76ca\u662f\u5b8c\u5168\u76f8\u540c\u7684\u3002\u00a0\u6bd4\u5982\u6bcf\u4e00\u73af\u90fd\u63d0\u5347 20%,\u4e0d\u7ba1\u63d0\u5347\u54ea\u4e00\u73af,\u6700\u7ec8\u52a0\u5165\u6570\u90fd\u662f\u4ece 371 \u53d8\u6210\u540c\u4e00\u4e2a\u503c\u3002\u6240\u4ee5"\u63d0\u5347 20%"\u8fd9\u79cd\u95ee\u6cd5\u672c\u8eab\u6ca1\u6709\u533a\u5206\u5ea6\u3002<\/p>\n
\u771f\u6b63\u62c9\u5f00\u5dee\u8ddd\u7684,\u662f\u6bcf\u4e00\u73af\u8fd8\u5269\u591a\u5c11\u63d0\u5347\u7a7a\u95f4(\u79bb\u6700\u4f73\u5b9e\u8df5\u7684\u5929\u82b1\u677f\u6709\u591a\u8fdc)\u3002\u4e00\u4e2a\u5df2\u7ecf\u505a\u5230 60% \u7684\u73af\u8282,\u6700\u591a\u518d\u5f80\u4e0a\u4e00\u70b9\u70b9;\u4e00\u4e2a\u8fd8\u5728 25% \u7684\u73af\u8282,\u6709\u5de8\u5927\u7684\u5411\u4e0a\u7a7a\u95f4\u3002\u811a\u672c\u6309"\u63d0\u5347\u5230\u5404\u81ea\u5929\u82b1\u677f"\u6765\u7b97:<\/p>\n
FUNNEL = [<\/p>\n
{"stage": "\u5728\u7ed3\u679c\u5217\u8868\u91cc\u88ab\u70b9\u5f00", "pass_rate": 0.25, "ceiling": 0.45}, # \u7a7a\u95f4 +20%<\/p>\n
{"stage": "\u770b\u5b8c\u7b80\u4ecb\u613f\u610f\u7ee7\u7eed", "pass_rate": 0.55, "ceiling": 0.75}, # \u7a7a\u95f4 +20%<\/p>\n
{"stage": "\u70b9\u8fdb Telegram \u9891\u9053", "pass_rate": 0.60, "ceiling": 0.72}, # \u7a7a\u95f4 +12%<\/p>\n
{"stage": "\u771f\u6b63\u52a0\u5165\/\u7559\u5b58", "pass_rate": 0.45, "ceiling": 0.55}, # \u7a7a\u95f4 +10%<\/p>\n
]<\/p>\n
\u8f93\u51fa:<\/p>\n
\u628a\u67d0\u4e00\u73af\u4ece\u73b0\u72b6\u63d0\u5347\u5230\u5b83\u7684'\u6700\u4f73\u5b9e\u8df5\u5929\u82b1\u677f',\u672b\u7aef\u52a0\u5165\u6570\u7684\u53d8\u5316:<\/p>\n
\u4f18\u5316\u300c\u5728\u7ed3\u679c\u5217\u8868\u91cc\u88ab\u70b9\u5f00\u300d 25% \u2192 45%(\u63d0\u5347\u7a7a\u95f4 +20%)<\/p>\n
\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 \u52a0\u5165\u6570 371 \u2192 668 (+297)<\/p>\n
\u4f18\u5316\u300c\u770b\u5b8c\u7b80\u4ecb\u613f\u610f\u7ee7\u7eed\u300d 55% \u2192 75%(\u63d0\u5347\u7a7a\u95f4 +20%)<\/p>\n
\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591 \u52a0\u5165\u6570 371 \u2192 506 (+135)<\/p>\n
\u4f18\u5316\u300c\u771f\u6b63\u52a0\u5165\/\u7559\u5b58\u300d 45% \u2192 55%(\u63d0\u5347\u7a7a\u95f4 +10%)<\/p>\n
\u2588\u2588\u2588\u2588\u2588\u2588\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591 \u52a0\u5165\u6570 371 \u2192 454 (+83)<\/p>\n
\u4f18\u5316\u300c\u70b9\u8fdb Telegram \u9891\u9053\u300d 60% \u2192 72%(\u63d0\u5347\u7a7a\u95f4 +12%)<\/p>\n
\u2588\u2588\u2588\u2588\u2588\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591\u2591 \u52a0\u5165\u6570 371 \u2192 446 (+74)<\/p>\n
\u7ed3\u8bba\u5f88\u6e05\u695a:\u4f18\u5316"\u88ab\u70b9\u5f00"\u8fd9\u4e00\u73af,\u52a0\u5165\u6570\u4ece 371 \u6da8\u5230 668(+297),\u6760\u6746\u8fdc\u5927\u4e8e\u5176\u5b83\u73af\u8282\u3002\u00a0\u56e0\u4e3a\u5b83\u540c\u65f6\u6ee1\u8db3\u4e24\u4e2a\u6761\u4ef6\u2014\u2014\u5f53\u524d\u901a\u8fc7\u7387\u6700\u4f4e(\u6f0f\u5f97\u6700\u72e0)\u3001\u4e14\u63d0\u5347\u7a7a\u95f4\u6700\u5927(\u591f\u5f97\u7740\u5929\u82b1\u677f)\u3002<\/p>\n
\u65e2\u7136\u6760\u6746\u5728"\u88ab\u70b9\u5f00",\u90a3\u8fd9\u4e00\u73af\u7684\u4e24\u4e2a\u6293\u624b\u5c31\u503c\u5f97\u91cd\u70b9\u505a:<\/p>\n
flowchart LR<\/p>\n
T[\u63d0\u5347'\u88ab\u70b9\u5f00'\u901a\u8fc7\u7387] –> A[\u6392\u5e8f\u66f4\u9760\u524d]<\/p>\n
T –> B[\u6807\u9898\u66f4\u6293\u4eba]<\/p>\n
A –> A1[\u7b80\u4ecb\/\u6807\u7b7e\u586b\u5b8c\u6574<br\/>\u63d0\u5347\u5b8c\u6574\u5ea6\u4fe1\u53f7]<\/p>\n
A –> A2[\u4fdd\u6301\u9891\u9053\u66f4\u65b0<br\/>\u63d0\u5347\u65b0\u9c9c\u5ea6\u4fe1\u53f7]<\/p>\n
B –> B1[\u6807\u9898\u70b9\u660e\u4e3b\u9898+\u4ef7\u503c<br\/>\u800c\u975e\u53ea\u5199\u9891\u9053\u540d]<\/p>\n
\u6293\u624b\u4e00:\u8ba9\u6392\u5e8f\u66f4\u9760\u524d\u3002\u00a0\u7528\u6237\u4ece\u4e0a\u5f80\u4e0b\u770b,\u6392\u5f97\u8d8a\u9760\u524d\u8d8a\u5bb9\u6613\u88ab\u70b9\u3002\u800c\u524d\u51e0\u7bc7\u8bb2\u8fc7,\u6392\u5e8f\u4e0d\u53ea\u770b\u76f8\u5173\u6027,\u8fd8\u770b\u5b8c\u6574\u5ea6\u548c\u65b0\u9c9c\u5ea6\u2014\u2014\u628a\u7b80\u4ecb\u6807\u7b7e\u586b\u6ee1\u3001\u4fdd\u6301\u9891\u9053\u66f4\u65b0,\u5c31\u662f\u5728\u5f80\u524d\u632a\u3002<\/p>\n
\u6293\u624b\u4e8c:\u8ba9\u6807\u9898\u66f4\u6293\u4eba\u3002\u00a0\u5728\u5141\u8bb8\u7684\u8303\u56f4\u5185,\u6807\u9898\u70b9\u660e"\u4e3b\u9898 + \u4ef7\u503c"\u800c\u4e0d\u53ea\u662f\u4e00\u4e2a\u5e72\u5df4\u5df4\u7684\u9891\u9053\u540d\u3002\u7528\u6237\u626b\u5217\u8868\u65f6,\u4e00\u4e2a\u4fe1\u606f\u91cf\u8db3\u7684\u6807\u9898,\u5929\u7136\u6bd4\u4e00\u4e2a\u7a7a\u6cdb\u7684\u540d\u5b57\u66f4\u5bb9\u6613\u88ab\u70b9\u3002<\/p>\n
\u8fd9\u4e24\u4e2a\u6293\u624b\u90fd\u4e0d\u82b1\u94b1,\u5374\u4f5c\u7528\u5728\u6760\u6746\u6700\u5927\u7684\u90a3\u4e00\u73af\u3002\u8fd9\u5c31\u662f\u6f0f\u6597\u5206\u6790\u7684\u4ef7\u503c\u2014\u2014\u5b83\u544a\u8bc9\u4f60\u522b\u5e73\u5747\u7528\u529b,\u628a\u52b2\u4f7f\u5728\u6536\u76ca\u88ab\u540e\u7eed\u9010\u7ea7\u653e\u5927\u7684\u5730\u65b9\u3002<\/p>\n
\u6f0f\u6597\u6a21\u578b\u7684\u7528\u6cd5\u4e0d\u662f\u8bb0\u4f4f"3.7%"\u6216"\u88ab\u70b9\u5f00\u6700\u91cd\u8981"\u8fd9\u4e9b\u5177\u4f53\u6570\u5b57,\u800c\u662f\u8fd9\u5957\u601d\u7ef4:<\/p>\n
\u5b8c\u6574\u811a\u672c\u89c1\u00a0discoverability_conversion_funnel.py,\u65e0\u7b2c\u4e09\u65b9\u4f9d\u8d56\u3002\u628a\u901a\u8fc7\u7387\u6362\u6210\u4f60\u81ea\u5df1\u7684\u4f30\u8ba1,\u8dd1\u4e00\u904d\u5c31\u77e5\u9053\u4f60\u7684\u6d41\u91cf\u5728\u54ea\u4e00\u73af\u6f0f\u5f97\u6700\u591a\u3002\u8bc4\u8bba\u533a\u6b22\u8fce\u4ea4\u6d41\u4f60\u7684\u6536\u5f55\u8f6c\u5316\u7ecf\u9a8c\u3002<\/p>\n
"""
\n\u6536\u5f55\u540e\u7684\u8f6c\u5316\u6f0f\u6597:\u6d41\u91cf\u662f\u5728\u54ea\u4e00\u73af\u6f0f\u6389\u7684?<\/p>\n
\u88ab\u641c\u5230 \u2260 \u6709\u4eba\u52a0\u5165\u3002\u4e00\u4e2a\u4eba\u4ece"\u5728\u76ee\u5f55\u91cc\u5237\u5230\u4f60"\u5230"\u771f\u7684\u70b9\u52a0\u5165\u9891\u9053",
\n\u4e2d\u95f4\u8981\u8fc7\u597d\u51e0\u9053\u95e8,\u6bcf\u9053\u95e8\u90fd\u5728\u6f0f\u4eba\u3002\u8fd9\u4e2a\u811a\u672c\u628a\u8fd9\u6761\u8f6c\u5316\u94fe\u5efa\u6a21\u6210\u6f0f\u6597,
\n\u91cf\u5316\u6bcf\u4e00\u73af\u7684\u6d41\u5931,\u5e76\u544a\u8bc9\u4f60\u54ea\u4e00\u73af\u6700\u8be5\u4f18\u5316\u3001\u4f18\u5316\u540e\u80fd\u591a\u7559\u4f4f\u591a\u5c11\u4eba\u3002<\/p>\n
Part 1 \u8f6c\u5316\u6f0f\u6597:\u9010\u73af\u8ba1\u7b97\u7559\u5b58\u4e0e\u6d41\u5931
\n Part 2 \u5355\u70b9\u4f18\u5316\u7684\u6760\u6746:\u6539\u5584\u67d0\u4e00\u73af,\u672b\u7aef\u52a0\u5165\u6570\u53d8\u5316\u591a\u5c11<\/p>\n
\u6570\u5b57\u662f\u673a\u5236\u5047\u8bbe\u4e0b\u7684\u76f8\u5bf9\u6a21\u578b(\u4ee5 10000 \u6b21\u66dd\u5149\u4e3a\u8d77\u70b9),\u975e\u771f\u5b9e\u7edf\u8ba1\u3002
\n\u65e0\u7b2c\u4e09\u65b9\u4f9d\u8d56:python discoverability_conversion_funnel.py
\nWindows \u4e2d\u6587\u4e71\u7801:PYTHONIOENCODING=utf-8 python discoverability_conversion_funnel.py
\n"""<\/p>\n
# ————————————————————————–
\n# \u8f6c\u5316\u94fe\u7684\u6bcf\u4e00\u73af + \u8be5\u73af\u7684"\u901a\u8fc7\u7387"(\u4e0a\u4e00\u73af\u7684\u4eba\u91cc,\u6709\u591a\u5927\u6bd4\u4f8b\u8d70\u5230\u4e0b\u4e00\u73af)\u3002
\n# \u901a\u8fc7\u7387\u662f\u53ef\u4f18\u5316\u7684:\u6ce8\u91ca\u91cc\u5199\u4e86\u5b83\u4e3b\u8981\u53d7\u4ec0\u4e48\u5f71\u54cd\u3002
\n# ————————————————————————–
\nFUNNEL = [
\n {"stage": "\u88ab\u641c\u7d22\/\u6d4f\u89c8\u5230(\u66dd\u5149)", "pass_rate": 1.00, "ceiling": 1.00,
\n "lever": "\u6536\u5f55\u8986\u76d6 + \u7b80\u4ecb\u540c\u4e49\u8bcd\u5e7f\u5ea6"},
\n {"stage": "\u5728\u7ed3\u679c\u5217\u8868\u91cc\u88ab\u70b9\u5f00", "pass_rate": 0.25, "ceiling": 0.45,
\n "lever": "\u6807\u9898\u5438\u5f15\u529b + \u6392\u5e8f\u9760\u524d(\u5b8c\u6574\u5ea6\/\u65b0\u9c9c\u5ea6)"},
\n {"stage": "\u770b\u5b8c\u7b80\u4ecb\u613f\u610f\u7ee7\u7eed", "pass_rate": 0.55, "ceiling": 0.75,
\n "lever": "\u7b80\u4ecb\u4fe1\u606f\u662f\u5426\u6e05\u6670\u3001\u5bf9\u5f97\u4e0a\u7528\u6237\u641c\u7684\u8bcd"},
\n {"stage": "\u70b9\u8fdb Telegram \u9891\u9053", "pass_rate": 0.60, "ceiling": 0.72,
\n "lever": "\u8df3\u8f6c\u662f\u5426\u987a\u7545\u3001\u9891\u9053\u9884\u89c8\u662f\u5426\u53ef\u4fe1"},
\n {"stage": "\u771f\u6b63\u52a0\u5165\/\u7559\u5b58", "pass_rate": 0.45, "ceiling": 0.55,
\n "lever": "\u9891\u9053\u5185\u5bb9\u9996\u5c4f\u8d28\u91cf\u3001\u8fd1\u671f\u66f4\u65b0"},
\n]<\/p>\n
START_IMPRESSIONS = 10000<\/p>\n
def compute(funnel, start):
\n rows, current = [], start
\n for i, step in enumerate(funnel):
\n before = current
\n current = before * step["pass_rate"]
\n lost = before – current
\n rows.append({
\n "stage": step["stage"],
\n "in": before,
\n "out": current,
\n "pass_rate": step["pass_rate"],
\n "lost": lost,
\n "lever": step["lever"],
\n })
\n return rows<\/p>\n
def bar(value, max_value, width=30):
\n filled = round(value \/ max_value * width) if max_value else 0
\n return "\u2588" * filled + "\u2591" * (width – filled)<\/p>\n
def part1():
\n print("=" * 60)
\n print("Part 1 \u6536\u5f55\u540e\u7684\u8f6c\u5316\u6f0f\u6597(\u8d77\u70b9 10000 \u6b21\u66dd\u5149)")
\n print("=" * 60 + "\\\\n")
\n rows = compute(FUNNEL, START_IMPRESSIONS)
\n mx = rows[0]["in"]
\n for i, r in enumerate(rows):
\n print(f"{r['stage']}")
\n rate_note = "" if i == 0 else f"\u901a\u8fc7\u7387 {r['pass_rate']:.0%}"
\n print(f" {bar(r['out'], mx)} {r['out']:>7.0f} {rate_note}")
\n if i > 0:
\n print(f" \u8fd9\u4e00\u73af\u6d41\u5931 {r['lost']:.0f} \u4eba \u2190 \u6760\u6746:{r['lever']}")
\n print()
\n final = rows[-1]["out"]
\n overall = final \/ START_IMPRESSIONS
\n print("-" * 60)
\n print(f"\u7aef\u5230\u7aef\u8f6c\u5316\u7387:{overall:.1%}（\u66dd\u5149 {START_IMPRESSIONS} \u2192 \u52a0\u5165 {final:.0f}）")<\/p>\n
# \u627e\u6700\u5927\u6d41\u5931\u73af
\n worst = max(rows[1:], key=lambda r: r["lost"])
\n print(f"\u6700\u5927\u6d41\u5931\u53d1\u751f\u5728:\u300c{worst['stage']}\u300d,\u6f0f\u6389 {worst['lost']:.0f} \u4eba")
\n print(f"\u2192 \u5b83\u7684\u6760\u6746\u662f:{worst['lever']}\\\\n\\\\n")
\n return rows<\/p>\n
def part2():
\n print("=" * 60)
\n print("Part 2 \u5355\u70b9\u4f18\u5316\u7684\u6760\u6746\u6548\u5e94")
\n print("=" * 60 + "\\\\n")
\n base_final = compute(FUNNEL, START_IMPRESSIONS)[-1]["out"]
\n print(f"\u5f53\u524d\u7aef\u5230\u7aef\u52a0\u5165\u6570:{base_final:.0f}\\\\n")
\n print("\u628a\u67d0\u4e00\u73af\u4ece\u73b0\u72b6\u63d0\u5347\u5230\u5b83\u7684'\u6700\u4f73\u5b9e\u8df5\u5929\u82b1\u677f',\u672b\u7aef\u52a0\u5165\u6570\u7684\u53d8\u5316:")
\n print("(\u6ce8:\u7eaf\u4e58\u6cd5\u6f0f\u6597\u91cc'\u76f8\u5bf9\u63d0\u5347\u540c\u6837\u767e\u5206\u6bd4'\u5404\u73af\u672b\u7aef\u6536\u76ca\u76f8\u540c,")
\n print(" \u771f\u6b63\u62c9\u5f00\u5dee\u8ddd\u7684\u662f\u5404\u73af\u8fd8\u5269\u591a\u5c11\u63d0\u5347\u7a7a\u95f4\u2014\u2014\u6240\u4ee5\u6309\u5929\u82b1\u677f\u7b97)\\\\n")<\/p>\n
results = []
\n for i in range(1, len(FUNNEL)):
\n trial = [dict(s) for s in FUNNEL]
\n cur, ceil = trial[i]["pass_rate"], trial[i]["ceiling"]
\n trial[i]["pass_rate"] = ceil
\n new_final = compute(trial, START_IMPRESSIONS)[-1]["out"]
\n gain = new_final – base_final
\n headroom = ceil – cur
\n results.append((FUNNEL[i]["stage"], cur, ceil, new_final, gain, headroom))<\/p>\n
results.sort(key=lambda x: -x[4])
\n mx = max(g for *_, g, _ in results) or 1
\n for stage, cur, ceil, new_final, gain, headroom in results:
\n print(f" \u4f18\u5316\u300c{stage}\u300d {cur:.0%} \u2192 {ceil:.0%}(\u63d0\u5347\u7a7a\u95f4 {headroom:+.0%})")
\n print(f" {bar(gain, mx, 20)} \u52a0\u5165\u6570 {base_final:.0f} \u2192 {new_final:.0f} (+{gain:.0f})")
\n print()
\n top = results[0]
\n print("-" * 60)
\n print(f"\u6760\u6746\u6700\u5927\u7684\u4e00\u73af:\u300c{top[0]}\u300d,\u5b83\u73b0\u72b6\u79bb\u5929\u82b1\u677f\u6700\u8fdc\u3001\u63d0\u5347\u7a7a\u95f4\u6700\u5927\u3002")
\n print("\u542f\u793a:\u522b\u5e73\u5747\u7528\u529b,\u5148\u627e'\u5f53\u524d\u901a\u8fc7\u7387\u4f4e\u3001\u4e14\u591f\u5f97\u7740\u5929\u82b1\u677f'\u7684\u73af\u8282\u4e0b\u624b\u3002")<\/p>\n
if __name__ == "__main__":
\n part1()
\n part2()<\/p>\n","protected":false},"excerpt":{"rendered":"
\u88ab\u641c\u5230,\u4e0d\u7b49\u4e8e\u6709\u4eba\u52a0\u5165\u3002\u4e00\u4e2a\u4eba\u4ece\\”\u5728\u76ee\u5f55\u91cc\u5237\u5230\u4f60\\”\u5230\\”\u771f\u7684\u70b9\u52a0\u5165\u9891\u9053\\”,\u4e2d\u95f4\u8981\u8fc7\u597d\u51e0\u9053\u95e8,\u6bcf\u9053\u95e8\u90fd\u5728\u6f0f\u4eba\u3002\u672c\u6587\u7528\u53ef\u8fd0\u884c\u4ee3\u7801\u628a\u8fd9\u6761\u8f6c\u5316\u94fe\u5efa\u6210\u6f0f\u6597,\u91cf\u5316\u6bcf\u4e00\u73af\u7684\u6d41\u5931,\u5e76\u7b97\u51fa\u54ea\u4e00\u73af\u6700\u8be5\u4f18\u5316\u3002\u6570\u5b57\u6765\u81ea\u6587\u672b\u811a\u672c\u3002 \u4e00\u4e2a\u5bb9\u6613\u88ab\u5ffd\u7565\u7684\u95ee\u9898 \u524d\u9762\u51e0\u7bc7\u804a Telegram \u514d\u8d39\u6536\u5f55,\u91cd\u70b9\u90fd\u5728\\”\u600e\u4e48\u88ab\u641c\u5230\\”\u2014\u2014\u7b80\u4ecb\u600e\u4e48\u5199\u3001\u600e\u4e48\u5728\u540c\u540d\u7ade\u4e89\u91cc\u6392\u524d\u9762\u3001\u591a\u4e45\u80fd\u88ab Google \u7d22\u5f15\u3002\u4f46\u5047\u8bbe\u8fd9\u4e9b\u4f60\u90fd\u505a\u597d\u4e86,\u88ab\u641c\u5230\u4e86,\u65b0\u95ee\u9898\u6765\u4e86: \u88ab\u641c\u5230\u7684\u4eba\u91cc,\u6700\u540e\u771f\u6b63\u52a0\u5165\u4f60\u9891\u9053\u7684,\u6709\u591a\u5c11? \u5f88\u591a\u4eba\u9ed8\u8ba4\\”\u88ab\u641c\u5230 \u2248 \u6da8\u7c89\\”<\/p>\n","protected":false},"author":2,"featured_media":90020,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[50,323,100,86,427],"topic":[],"class_list":["post-90021","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-50","tag-323","tag-100","tag-86","tag-427"],"yoast_head":"\n