营销人员沉迷于劣质数据 (2020)
Marketers are Addicted to Bad Data (2020)

原始链接: https://www.jacquescorbytuech.com/writing/marketers-addicted-bad-data

现代营销正受困于对指标的过度痴迷。尽管专业人士充斥着无穷无尽的 KPI——从点击率到广告支出回报率(ROAS)——但大多数人缺乏相应的技术专长来真正理解、解读或有效利用这些数据。 归根结底,对这种“糟糕数据”的依赖已成为一种借口。营销人员往往优先考虑可量化的短期数字,仅仅是为了证明预算的合理性或体现自身价值,却忽略了一个事实:有意义的品牌建设需要的是信念和经验,而非单纯的电子表格。我们陷入了一个决策信息不足的恶性循环:领导者因被迫依赖不完善的分析,而对自己原本的直觉产生怀疑。要向前发展,行业必须停止将肤浅的追踪与实际策略混为一谈,并回归到一个经验和愿景远胜于盲目痴迷指标的模式。

这个 Hacker News 讨论帖探讨了行业对低质量数据普遍存在的依赖,这常被称为“路灯效应”——即只在光线最亮的地方寻找答案,而非寻找真相所在之处。 评论者强调了几个关键主题: * **广告欺诈:** 用户指出,广告流量(特别是在 Reddit 和 ChatGPT 等平台上)充斥着机器人和爬虫,导致分析结果毫无用处,投资回报率也令人质疑。 * **激励机制错位:** 参与者指出,在商业环境中,“好的数据”往往被重新定义为那些能让客户满意或为营销活动背书的数据,而非客观反映现实的数据。 * **系统性偏差:** 讨论将有缺陷的营销数据与软件开发进行了类比,开发人员往往依赖于“通过”的测试,但这些测试可能并未真正验证功能。 * **机构性的顽固:** 关于数字营销针对已故宠物进行投放的轶事说明了糟糕的数据是如何在系统中传播的,这通常是由无法认清现实的自动化流程所推动的。 最终,大家的共识是:尽管营销人员和企业对显示增长的指标“上瘾”,但这些数据点往往反映的是错觉或被操纵的趋势,而非真正的绩效。
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原文

Modern marketing is all about data and however hard you might try, you can't spend any time around marketers online without being subjected to endless think pieces, how-to guides, ebooks or other dreck about how we need to track and measure and count every little thing.

We've got click rates, impressions, conversion rates, open rates, ROAS, pageviews, bounces rates, ROI, CPM, CPC, impression share, average position, sessions, channels, landing pages, KPI after never ending KPI.

That'd be fine if all this shit meant something and we knew how to interpret it. But it doesn't and we don't.

The reality is much simpler, and therefore much more complex. Most of us don't understand how data is collected, how these mechanisms work and most importantly where and how they don't work.

And even if we know how the data is collected, what it means and what it's actually tracking, most of us don't have the technical chops to analyse the data we've collected. I don't mean to rag on anyone by saying this, but we do need a reality check.

And look. I get it. Having tangible data allows us to demonstrate that we're doing our job and we're trying to measure and improve what we're doing. But as Bob Hoffman rightly points out - that's not how brands are built.

The numbers are often all we have to prove our case, to get more budget and in extreme cases, to continue to stay employed. We'll remain in this mess until we can separate marketing from short sighted and poorly informed decision making. Until leaders can lead on the strength of their conviction and experience instead of second guessing themselves and their staff based on the inadequacy of data.

I don't know what the way out of this mess is, or what the path to success looks like. All I know is this.

We're addicted to bad data.

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