UGAI · Learning

用户增长是什么，能带来什么What user acquisition is, and what it gets you

用户增长（UA，买量）就是付费在 Google、Meta、TikTok 等平台投广告，把目标用户带进来，变成注册和付费。它和做内容、等口碑的区别只有一条：今天花钱，明天就有数据。一旦算清「花 1 块能回来多少」，它就可以按可控的方式加码。User acquisition — paid growth — means paying Google, Meta or TikTok to put your product in front of the right people, and turning them into signups and paying users. Its one real difference from content and word of mouth: spend today, see data tomorrow. Once you know what a dollar in returns, you can scale it in a controlled way.

小预算测试Small-budget test用一笔封顶的预算投出去，亏损上限先锁死A hard-capped budget goes out; the downside is fixed first
把账算清Do the math花 1 块，回来多少注册、多少收入One dollar in — how many users and how much revenue out
判断 ROI 是否达标Is ROI on target回来的是否 ≥ 花出去的；达标放大，不达标停Do returns cover spend; scale if yes, stop if no

达标 → 放大ON TARGET → SCALE

预算Budget：从每天几百加到几千，收入按比例跟: from hundreds a day to thousands, revenue follows proportionally
渠道Channel：Google 跑通的打法复制到 Meta、Bing、TikTok: a playbook proven on Google replicates to Meta, Bing, TikTok
市场Market：一个国家验证过，复制到更多国家: proven in one country, rolled out to more

同一套验证过的打法可以在预算、渠道、市场三个维度同时放大，这是买量区别于其他获客方式的地方。One proven playbook scales along budget, channel and market at once — that is what sets paid growth apart from other acquisition channels.

不达标 → 停OFF TARGET → STOP

停止加钱Stop feeding it，亏损停在封顶预算内; losses stay under the cap
找原因Find the cause：产品、定价，还是承接的页面和流程: the product, the pricing, or the funnel behind the ad
修好再测Fix, then retest，再用一笔小预算验证 with another small budget

不达标就放大，等于放大亏损。判断什么时候停，比会加预算重要。Scaling an unproven setup scales the losses. Knowing when to stop matters more than knowing how to spend.

工作方式：媒体 API 加人的判断How I work: media APIs plus human judgment

付费投广告，老板通常关心三件事：钱花出去有没有赚回来；数据这么多信哪个。下面按这个顺序回答。If you pay for ads, three questions matter: is the money coming back; which numbers can be trusted. Answered in that order.

01
算清楚账：每一块广告费带回多少收入Honest math: what every ad dollar brings back
广告数据和你自己后台的真实注册、付费数据接在一起算，不信广告平台自己汇报的数字。这样才能回答「这个渠道到底赚不赚钱」。Ad data is reconciled against your own backend — real signups, real payments — not the platform's self-reported numbers. That is the only way to answer whether a channel is profitable.
02
每天看住钱：亏的停，赚的加，可疑的先查证Daily watch: cut losers, feed winners, verify the suspicious
每一条广告每天过一遍：哪条在亏、哪条在赚、哪条数据反常。反常的先交叉查证再动手，既不放过真问题，也不被假警报带偏。Every ad is reviewed every day: what's losing, what's earning, what looks off. Anomalies are cross-checked before anything moves.

每天的循环The daily loop

五个环节，每天跑一遍。第 4 步是人；其余由程序完成。Five steps, run daily. Step 4 is a person; the rest is software.

收需求和素材Take the brief投放计划和素材自动读取，不来回传文件Plans and creatives read in automatically
程序建广告Ads built by code批量创建和修改，不在后台逐条点击Created and edited programmatically, not by clicking through a console
三方对账Three-way reconciliation平台报的 × 你后台真实发生的 × 用户进站后每一步，三边对齐才算数Platform claims × your backend × on-site behaviour; numbers count only when all three agree
人来决定A person decides加预算、减预算、停广告，花钱的决定全部由人做Raise, cut, stop — every spending decision is made by a person
执行并留痕Execute and log决定由程序执行，每一步有记录；报告自动送达Executed by code, every step logged; reports delivered automatically

典型的一天A typical day

daily-run · 昨天的数据，全渠道yesterday, all channels 广告后台（多账户）、你的业务后台、网站分析，三源拉取完成Ad platforms (all accounts), your backend, site analytics — three sources pulled analyze · 用写成规则的经验rules distilled from experience 每条广告：昨天花了多少 → 带回多少真实用户和收入Every ad: spend in → real users and revenue out 警报：某市场一条广告成本上涨 38%Alert: one ad's cost up 38% in one market → 对照你后台：注册量正常 → 平台数据延迟，不动→ Checked against your backend: signups normal → platform lag, no action 发现：另一市场一条广告连续 7 天盈利且稳定Found: one ad profitable and stable for 7 days propose · 等人确认awaiting approval 建议：该条预算 +20%Proposal: +20% budget on that ad [人HUMAN] 已确认approved execute · 全程留痕fully logged 预算已生效；操作写入记录；报告已送达Budget live; action written to the log; report delivered

示意数据。流程、口径与规则为实际生产逻辑。Illustrative numbers. The pipeline, metrics and rules are the real production logic.

六条判断规则Six rules of judgment

R1
广告平台自己报的数据不用来打分The platform's own report doesn't score
平台既是运动员又是裁判，它报的转化既有遗漏又有延迟（实测过遗漏近三分之一）。打分一律用你后台的真实数据，平台数据只用来定位细节。The platform is both player and referee; its reported conversions are incomplete and delayed (I've measured nearly a third missing). Scoring uses your backend; platform numbers only locate details.
R2
新用户和回流用户分开算账New and returning users on separate books
广告带来的新用户和自己回来的老用户混在一本账里必然误判。两本账各说各的事。Mixing ad-driven new users with organically returning ones misattributes credit in one direction or the other. Two ledgers.
R3
收入还没到齐的日期不下结论Don't grade days whose revenue hasn't arrived
用户付费需要时间，昨天带来的用户，收入要几天到几周才回完。未成熟的日期一律标注排除。Payments take days or weeks to complete. Unfinished dates are flagged and excluded.
R4
不看单日，看趋势Judge the trend, not the day
单日收入常被个别大额用户左右。按周判断，或者看更早更稳的信号：付费人数比付费金额更早说真话。One day's revenue is often swung by a single big spender. Judge by the week, or by earlier, steadier signals: how many pay tells the truth sooner than how much.
R5
花钱必须有人确认Money moves only on a person's approval
系统只提建议、等确认，人点头后才执行，每一步留记录。这是硬边界。The system proposes and waits. It acts after a person approves, and every step is logged. A hard boundary.
R6
数据工作不靠人手No data work by hand
几十个账户、多个时区、多条业务线，靠命名规范和程序核对。看错账户、比错时区、混错业务线这类事故，恰恰是人手多的团队最常犯的。Dozens of accounts across time zones and business lines, reconciled by naming conventions and code. Wrong-account and wrong-timezone mistakes are what bigger teams make most.

分界原则：AI 不独立做花钱的决定；人不手工拉数据。The dividing line: AI never makes a spending decision alone; people never pull data by hand.

这套方式每天怎么保证 AI 记得在管什么、改过什么、上次改动有没有用，见运行机制。How the AI is kept aware of what's live, what changed and whether it worked: see Mechanics.

把海外用户增长和 AI 工作流的实践，边做边写下来。Notes from running global user acquisition with an AI workflow — written as the work happens.

背景Background