增长周会:渠道、漏斗、实验与下一步

根据渠道与漏斗数据表和增长周会原始笔记整理的增长周报:渠道获客、转化漏斗、留存和 A/B 实验均为原生图表,每条结论都标明是“观察到的”“假设”还是“建议”。第 2 周由第 1 周的周报加上新数据生成,可以看到上周的假设是否得到证实。演示数据。

给它的内容

第 2 周:上周的周报,加上本周的数据表(Excel:渠道、漏斗、留存、实验)和原始会议笔记(Markdown)。

以及这些说明 This is the next week's review (W44, Oct 27–Nov 2). The first source is last week's (W43) review as it was presented: keep its slide order, layouts and chart types, and update every number, experiment result, conclusion and action from this week's workbook and notes (the other sources). After the overview, add a 'Since last week' slide: what last week's hypotheses turned into (confirmed, not confirmed, still open), which experiments concluded, and what changed most. Fernway's weekly growth review for W44 (Oct 27–Nov 2), presented by the growth lead to the growth, marketing and operations teams. Turn the workbook and the raw sync notes into a clear review: acquisition by channel (spend, installs, CPI), the conversion funnel, retention, A/B experiment results, and next actions with owners. Use native, editable charts. Clearly separate three kinds of statement and label them: Observed (measured results), Hypothesis (our explanation, not proven) and Proposed (actions we recommend). Use a fixed, reusable weekly structure, the same slide order, layouts and chart types every week, so next week only the data and conclusions change. Write in the presenter's voice. All figures are fictional: label data slides Illustrative data, with source lines 'Source: Fernway analytics and growth sync notes (illustrative)'. Speaker notes should help the presenter tell the week's story: lead with the conclusion, then the cause, the uncertainty and the decision needed; never just repeat the slide text.

免费下载,无需登录。用 PowerPoint 打开即可随意修改。

We spend less,
and installs grow
风格
孟菲斯
PPT 类型
经营回顾
图片
不用图片
幻灯片
12
PPT 语言
English

每一页,未经修改

点击幻灯片查看大图。

  1. We spend less,
and installs grow

    1We spend less, and installs grow

    演讲者备注

    This week, we reverse last week’s acquisition efficiency problem: we spend less and bring in more installs. In this illustrative W44 review, the recommendation is to ship the referral reward, give pricing more time to measure paid conversion, and validate checklist retention before claiming a downstream benefit. The distinction throughout is between what we observe, what we think explains it, and what the evidence supports doing next.

  2. Lower spend now delivers
higher acquisition volume

    2Lower spend now delivers higher acquisition volume

    演讲者备注

    Starting with that recovery, installs rise 7.0% to 41,200 while total spend falls from $88,600 to $86,100. Paid-social CPI also improves from $3.00 to $2.62, so the acquisition gain is not simply the result of buying more volume. These are week-over-week improvements, not results against a budget target. We use the workbook’s exact counts; the sync notes’ 41.2k is the same W44 result rounded.

  3. Two tests finish; revenue and
retention remain open

    3Two tests finish; revenue and retention remain open

    演讲者备注

    Behind those totals, last week’s commitments turn into concrete delivery, but only some hypotheses become confirmed results. The six new creatives go live, two underdelivering influencers are cut, and the checklist ships on October 28. The pricing and referral tests reach final 14-day results with significant lifts in trial starts and invites, respectively, but pricing does not establish a revenue win—and that is not proof of no revenue effect. Paid social makes the biggest acquisition move, adding 2,300 installs without more spend, while creative fatigue and checklist retention remain open explanations or outcomes.

  4. Paid social leads our
acquisition recovery

    4Paid social leads our acquisition recovery

    演讲者备注

    That paid-social gain is the center of the acquisition recovery: the same $48,000 now delivers 18,300 installs rather than 16,000. We can call that an efficiency improvement; we cannot yet say the creative refresh causes it.

  5. Social adds volume while
influencer spend falls

    5Social adds volume while influencer spend falls

    演讲者备注

    Looking across the other channels helps separate where we gain volume from where we save money. Paid-social spending stays at $48,000, while influencer spending falls from $15,000 to $12,000 and influencer installs decline from 4,200 to 3,900. Referral spending rises from $3,600 to $4,100, but installs increase from 2,400 to 2,900 and CPI improves to $1.41. Search adds modest volume at unchanged spend and organic stays flat; Ravi’s proposed next step is the new “learn spanish fast” keyword set.

  6. Social CPI falls after
the creative refresh

    6Social CPI falls after the creative refresh

    演讲者备注

    Returning to the largest gain, the creative refresh gives us a plausible explanation for social’s recovery, not a proven one. After six new UGC creatives go live on October 27, frequency falls from 3.8 to 2.7 and CPI falls from $3.00 to $2.62. That clears last week’s $2.80 aim, which was a target rather than a forecast. The timing is consistent with the fatigue hypothesis, but we should report the measured improvement without treating the coincidence as causal evidence.

  7. The checklist ships;
activation reaches 66.1%

    7The checklist ships; activation reaches 66.1%

    演讲者备注

    Beyond acquisition, the checklist rollout is now complete, backed by last week’s randomized activation result of 67.2% versus 60.8%. This week’s overall activation reaches 66.1%, but that weekly rate is not a new treatment-effect estimate, and retention still needs its own readout.

  8. Trial starts reach 29% of
activated users

    8Trial starts reach 29% of activated users

    演讲者备注

    Following those users further through the funnel, we reach 5,607 trial starts out of 19,336 users who complete a first lesson, a 29.0% conversion rate. Those users sit within the W44 funnel of 41,200 installs and 29,252 sign-ups. The separate 36.2% trial-to-paid figure belongs to W42 trials, so we cannot append it to this funnel or use it to claim that the newly shipped checklist improves paid conversion. We need to keep the weekly funnel, older-cohort paid conversion, and pricing experiment results distinct.

  9. D7 reaches 25%, but its cohort
label needs reconciliation

    9D7 reaches 25%, but its cohort label needs reconciliation

    演讲者备注

    That same cohort discipline matters even more for retention, where the reported D7 rate is 25% but the underlying label conflicts. The workbook calls it the previous week’s cohort, meaning W43, while the sync notes call it W42; until that is reconciled, we cannot make a clean cohort comparison. D1 at 47% and September-cohort D30 at 12% also belong to different windows, not one retention curve. Kenji’s proposed next step is to resolve the labels and read W44 D7 by checklist exposure, since October 27 still has a 50/50 split.

  10. EXP-101 moves from rollout
to retention monitoring

    10EXP-101 moves from rollout to retention monitoring

    演讲者备注

    Once we resolve that cohort definition, the checklist’s next evidence obligation is retention, not another declaration that activation wins. Overall activation moves from 64.0% to 66.1%, but these are weekly totals rather than randomized experimental arms. The October 28 rollout closes the delivery commitment; it does not close the hypothesis that better activation improves retention. For next week, I recommend that Kenji validate the cohort and separate checklist exposure before drawing a D7 conclusion.

  11. Referral earns rollout;
pricing needs paid-conversion data

    11Referral earns rollout; pricing needs paid-conversion data

    演讲者备注

    With checklist retention still open, the two completed tests point to different decisions. In the pricing test’s final 14-day sample of 36,580, the $59.99 annual offer lifts trial starts to 29.4% from 27.1% at $69.99, with p=0.03. Revenue per 1,000 activated users rises from $398 to $412, but p=0.41 does not establish a revenue win, so I recommend that Sam extend measurement one week for trial-to-paid data. Referral has a clearer rollout case: invites rise from 1.18 to 1.42 with p=0.02, and referred installs rise from 7.9 to 9.6 per 1,000 users at $1.41 per install. I recommend that Lea ship the two-week reward.

  12. Let's ship referral and close
the revenue and retention questions

    12Let's ship referral and close the revenue and retention questions

    演讲者备注

    Those different evidence standards leave us with four proposed commitments to confirm today. Lea ships the two-week referral reward, Sam extends pricing measurement for one week before a pricing decision, and Ravi launches the new search keyword set. Kenji delivers the checklist-cohort D7 readout next week, after reconciling labels and separating exposure. We finish the week with better acquisition efficiency and a shipped checklist; let’s carry that progress forward without turning unresolved revenue and retention signals into claims, and revisit these commitments before making new recommendations next week.

文件里可以修改什么

每个字都是真实文字

标题、要点和标签都是文本框,可以改写、换样式或翻译。

图示都是形状

方框、箭头和图标都是 PowerPoint 形状,可以移动、缩放和改颜色。

图片各自独立

照片和插画都是单独的图片,可以替换或裁剪。

图表是真正的图表

每个图表的数据都保存在自己的 Excel 表里。选择“编辑数据”,输入新数字,图表就会重新绘制。

W43 → W44:哪些变了,哪些不变

  1. 记分卡:版式不变,换成本周数字。

    1记分卡:版式不变,换成本周数字。

  2. 付费社交获客成本:第 1 周的假设,用第 2 周的结果检验。

    2付费社交获客成本:第 1 周的假设,用第 2 周的结果检验。

  3. 转化漏斗:同一个图表,换成新一周的用户数。

    3转化漏斗:同一个图表,换成新一周的用户数。

几分钟做出下一份 PPT,再按你的想法修改。

注册即送 20 个免费积分,无需银行卡。

免费开始