3.3

爆文测试与选题验证Topic Testing and Content Validation

介绍Introduction

同一个选题用不同角度、不同标题、不同封面同时发出去,让数据决定哪个版本值得放大,而不是靠猜。Publish one topic as several angles, headlines and covers at the same time, and let the data decide which version deserves scaling instead of guessing.

大多数人做内容是这个流程:想一个选题,写一篇,发出去,等结果。跑不动就换一个再来一遍。问题是一篇的数据说明不了任何事——同一篇换个标题结果可能完全不同,你根本不知道是选题不行还是标题不行。Most content works like this: think of a topic, write one post, publish, wait. If it fails, try another. The trouble is that a single post proves nothing. The same piece under a different headline can perform completely differently, so you never learn whether the topic or the headline was the problem.

自营矩阵让另一种做法成为可能:同一个选题同时发出去十几个版本,只改一个变量——只改标题,或者只改封面,或者只改切入角度。同期同条件,数据回来就知道是哪个变量在起作用。An owned matrix makes another approach possible: publish a dozen versions of the same topic at once, changing exactly one variable -- only the headline, or only the cover, or only the angle. Same window, same conditions, and the results tell you which variable did the work.

这件事对广告主的价值比看上去大。一个投流素材在测试阶段验证过,正式投放的成本就完全不是一个量级;反过来,拿没验证过的素材直接投,等于用媒介预算做测试。This is worth more to an advertiser than it looks. Ad creative validated in testing costs a different order of magnitude when it goes live; conversely, funding unvalidated creative means running your experiments with the media budget.

测出来的东西是会累积的。什么标题结构在这个品类里有效、什么封面被点得多、什么角度容易被收藏,做过一轮就沉淀成选题库,下一个同品类的客户直接从这里开始,不用从零试。What the tests find accumulates. Which headline structures work in a category, which covers get tapped, which angles get saved -- one round settles into a topic library, and the next client in the same category starts from there instead of from zero.

要说清楚的是:测试能告诉你哪个版本更好,不能替你想出好选题。假设还是要人来提,矩阵只负责把假设便宜地验证掉。To be clear: testing tells you which version is better, it does not think up a good topic for you. The hypothesis still has to come from a person; the matrix only makes verifying it cheap.

  • 选题假设与变量设计Topic hypotheses and variable design
  • 多版本内容批量产出Bulk production of the variants
  • 同期同条件投放Publishing all variants under the same conditions
  • 数据回收与归因记录Data collection and attribution notes
  • 胜出版本的放大方案A scale-up plan for the winner
  • 可复用的选题库沉淀A reusable topic library that accumulates over time

怎么做How it runs

  1. 提假设State the hypothesis

    先把要验证的问题写清楚——是选题有没有需求,还是标题结构有没有效,一次只问一个问题。Write down exactly what is being tested: whether the topic has demand, or whether a headline structure works. One question at a time.

  2. 控变量Control the variable

    多版本之间只改一个变量,其余全部保持一致,否则数据回来解释不了。Change exactly one variable between versions and hold everything else constant, or the results will not be interpretable.

  3. 同期投放Publish together

    所有版本同期同条件发出去,不同时间发会被平台节奏影响,结果不可比。Publish every version in the same window under the same conditions. Staggered publication picks up platform-side noise and the results stop being comparable.

  4. 放大与沉淀Scale and record

    胜出的版本加量放大,失败的版本记下原因,两边都进选题库。Scale the winner and write down why the losers lost. Both go into the topic library.

致 Boss 的一封信A letter to you

尊敬的 Boss,您好。Hello, Boss.

这是我的个人产品页,其中的板块都是我自身的技能以及资源。This is my personal product page. Every board on it is a skill or a resource that is genuinely mine.

我从大学毕业后就开始创业,截至现在已经 10 年时间了。I started my own business straight out of university — that was ten years ago.

最开始是产品经理,带领开发团队做出第一款软件(安卓系统)。三个月时间,我从销售到铺垫代理、到技术维护,几乎变成了六边形的 — 三个月总盈利 150W+。I began as a product manager, leading a dev team to ship my first piece of software (Android). In three months I went from sales to building out the reseller network to technical maintenance — close to an all-rounder. Three months, 1.5M+ RMB in total profit.

后面因为要转行业,所以在众多行业中选择了小红书,没想到这一选择就是 4.5 年的时光。Then I needed to change industries. Out of all of them I picked Xiaohongshu — and that one choice turned into four and a half years.

因为当时比较年轻,赚取的第一桶金,所以难免会年少轻狂(现实中同年操盘一个项目,半年纯利润达到 5000W,被合伙人背刺,有真实记录经验以及可考察)。I was young, it was my first real money, and I was inevitably a little reckless. That same year I ran a project that cleared 50M RMB in net profit in six months, and was stabbed in the back by my partner. There are real records, and it can be checked.

后面沉淀了两三年,回到北京,开始研究抖音流量板块以及 AI 相关。I spent the next two or three years settling, then came back to Beijing and started working on Douyin traffic and on AI.

很幸运,在我上年以及今年一直深耕 AI 赛道,所以取得了很不错的成就。I have been lucky: last year and this year I stayed deep in the AI track, and it paid off.

而且我很开心,也很庆幸 — 我在 AI 身上看到了无限。所以我在三个月时间,消耗了 3W 刀的 Token。从文本,到图片,到视频,我看到了太多。AI 是未来。并且我以前的资源圈子,可能让我达不到太高的门槛。And I am glad — genuinely glad — that what I saw in AI was something without limits. In three months I burned USD 30,000 of tokens. Text, then images, then video: I have seen too much to think otherwise. AI is the future. My old circle of resources, though, may not carry me past a high enough threshold.

我帮别人做公司梳理以及流量打造是 2K 一小时的咨询费;全域流量搭建以及小红书的自营矩阵、员工培训是 19800 的搭建费。I charge 2,000 RMB an hour to restructure a company and build its traffic; full-channel traffic build-out, an owned Xiaohongshu matrix and staff training run a 19,800 RMB setup fee.

我说这些的目的,是因为我觉得衡量人的价值不是情感,而是很现实的钱。I say this because I believe a person is not measured in sentiment. They are measured in money, plainly.

我很希望可以继续进新的圈层以及获取新的资源。I want to keep moving into new circles and reaching new resources.

所以很感谢您能看到这里。我所擅长的就是流量打造、品牌打造,以及 AI 的产品和商业逻辑。So — thank you for reading this far. What I am good at is building traffic, building brands, and the product and business logic of AI.

希望我们可以达成合作,一起拥抱 AI 和流量,一起拥抱I hope we can work together. Let us embrace AI and traffic, and embrace

未来The Future