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广告投放分析 Ad Campaign Analyzer

GooseWorksMITSkill 语言: 英文
协议已核对不含脚本中风险
演示真实运行记录 · claude-sonnet-5-5 · 2026年10月
Using the ad-campaign-analyzer skill, analyze this fictional export (Google Ads and Meta, last 30 days, goal: purchases, target CPA $40). Campaign,Platform,Impressions,Clicks,Spend,Conversions,Revenue | Brand Search,Google,12000,1500,$900,60,$5400 | Generic Search,Google,90000,2700,$3100,20,$1800 | Retargeting,Meta,40000,800,$600,25,$2750 | Prospecting Video,Meta,300000,2400,$4200,12,$1100 | Lookalike,Meta,110000,1900,$1500,30,$2900.
Skill: ad-campaign-analyzer

I couldn't save the report to campaign-analysis-2026-10-05.md because I have no file-write tool in this session. The full analysis is below. Tell me if you want it saved once a write tool is available.

Ad Campaign Analysis: Google Ads + Meta (last 30 days)

Total spend: $10,300. Goal: purchases. Target CPA: $40.

Not provided: impression share, frequency, margin, and any changes made mid-period. Anything that depends on those is flagged as an assumption.

Executive summary

Blended CPA is $70 (147 purchases, ROAS 1.35), well above the $40 target. The average is misleading. Brand Search ($15) and Retargeting ($24) beat the target, and Lookalike ($50) is close. Generic Search ($155) and Prospecting Video ($350) take 71% of spend for 22% of purchases. Moving budget alone won't reach $40, because Brand and Retargeting are demand-capped. The top recommendation is to cut the two losers by 60–75%, scale Lookalike and Retargeting carefully, and hold a test reserve.

Performance dashboard

Campaign Spend Impr. Clicks CTR CPC Conv Conv rate CPA ROAS Verdict
Brand Search $900 12,000 1,500 12.5% $0.60 60 4.00% $15 6.00 Maintain, small scale
Retargeting $600 40,000 800 2.0% $0.75 25 3.13% $24 4.58 Scale carefully
Lookalike $1,500 110,000 1,900 1.73% $0.79 30 1.58% $50 1.93 Optimize, then scale
Generic Search $3,100 90,000 2,700 3.0% $1.15 20 0.74% $155 0.58 Cut and restructure
Prospecting Video $4,200 300,000 2,400 0.8% $1.75 12 0.50% $350 0.26 Cut to test budget
Total $10,300 552,000 9,300 1.68% $1.11 147 1.58% $70 1.35

Average order value is about $95 and is similar across campaigns. The performance gaps come from conversion rate and cost per click, not order size.

Channel rollup

Channel Spend CTR CPC Conv Conv rate CPA ROAS
Google $4,000 4.12% $0.95 80 1.90% $50 1.80
Meta $6,300 1.13% $1.24 67 1.31% $94 1.07

Channel-level numbers hide the real split. Each platform has one very good campaign and one very bad one.

Efficiency ranking

Efficiency index is share of conversions divided by share of spend. Above 1.0 means under-invested.

Rank Campaign Spend share Conv share Index
1 Brand Search 8.7% 40.8% 4.67
2 Retargeting 5.8% 17.0% 2.92
3 Lookalike 14.6% 20.4% 1.40
4 Generic Search 30.1% 13.6% 0.45
5 Prospecting Video 40.8% 8.2% 0.20

Budget waste

  • Zero-conversion items: none at campaign level. I have no keyword, ad or ad-set breakdown, so this is untested below campaign level.
  • CPA above 3x target ($120): Generic Search and Prospecting Video, $7,300 combined.
  • Spend above what the $40 target justifies:
    • Generic Search: $3,100 − (20 × $40) = $2,300.
    • Prospecting Video: $4,200 − (12 × $40) = $3,720.
    • Lookalike: $300.
    • Total about $6,300, or 61% of spend.
  • Realistic saves: about $5,300/month from the two losers, assuming you cut them to about $1,000 each. The last $1,000 of Generic Search and Prospecting Video is a test budget, not savings.

Significance check

Generic Search (20), Prospecting Video (12) and Retargeting (25) all have fewer than the 30 conversions the skill sets as the minimum for a CPA comparison. So individual CPA figures are directional. The conversion-rate gaps do hold up, though.

Test Rates z Verdict
Prospecting vs Lookalike (both Meta) 0.50% (n=2,400 clicks) vs 1.58% (n=1,900) 3.6, p<0.001 Significant, Lookalike wins
Generic Search vs Lookalike 0.74% (n=2,700) vs 1.58% (n=1,900) 2.7, p≈0.007 Significant

Confidence is high that Prospecting and Generic convert worse. The exact CPA for each is less certain.

Diagnosis

  • Prospecting Video: CTR is 0.8% and conversion rate is 0.5%, so it fails at both ad relevance and traffic quality. Cold video clicks rarely buy at a $95 order value. Last-click attribution also undercounts upper-funnel impact, so don't cut it to zero without a test (see caveats).
  • Generic Search: CTR is fine at 3.0%, but CPC is $1.15 and the conversion rate is 0.74%. That points to broad or loose match terms and a landing page that doesn't match intent. Check the search terms report first.
  • Brand Search: CPA of $15 is mostly demand harvesting. Brand searchers were already coming, so extra budget won't produce proportional gains. Some of these conversions would have happened organically.
  • Retargeting: 40,000 impressions is a small pool. Expect the cost of each extra conversion to rise quickly as you scale.
  • Lookalike: $50 CPA is 25% over target, but its conversion rate is the best of the cold-traffic campaigns. It's the best place to scale, and its creative or seed audience is worth tuning first.

Funnel coverage

Stage Covered by Spend Gap?
Awareness Prospecting Video $4,200 Overfunded, poor yield
Consideration Generic Search, Lookalike $4,600 Generic is leaking
Decision Brand Search $900 Capped by demand
Retargeting Meta Retargeting $600 Underfunded, small pool

No Google retargeting or shopping/feed campaign is running. That's a gap worth testing.

Reallocation (budget-neutral, $10,300)

Campaign Current Recommended Change Why
Brand Search $900 $1,000 +$100 Capped by demand; check impression share
Retargeting $600 $1,200 +$600 Best cold-to-warm yield; expect costs to rise past about $1,200
Lookalike $1,500 $3,500 +$2,000 Best scalable cold campaign
Generic Search $3,100 $1,200 −$1,900 Move to exact/phrase match, add negatives
Prospecting Video $4,200 $1,000 −$3,200 Keep as a creative test
Test reserve $0 $2,400 +$2,400 Split between new Lookalike seeds and Google non-brand exact-match or Shopping/PMax

Projected impact (assumptions):

  • Marginal CPAs: Retargeting about $40, Lookalike about $70 past current spend, Brand about $20.
  • Cut campaigns: Generic and Prospecting conversions fall in proportion to the spend cut.
  • Reserve: counted as zero conversions.
  • Result: about 175 purchases (+19%) at about $59 blended CPA (−16%).
  • If the reserve converts at $100 CPA: about 199 purchases at about $52.

Scenarios

  • Conservative (±20%): cut Generic by $620 and Prospecting by $840, and move the money to Retargeting and Lookalike. That gives about 170 purchases at about $61 CPA, with low risk.
  • Recommended plan (about 60–75% cuts): the table above, with medium risk because Lookalike roughly doubles.
  • Efficiency-first (spend less): run Brand $1,000, Retargeting $1,200, Lookalike $1,500 and Generic $500. That's about $4,200 spend for about 138 purchases at about $30 CPA. It loses about 9 purchases but frees $6,100. Those last 9 purchases cost roughly $680 each. If $40 CPA is a hard requirement, this is the only scenario that meets it.

Action plan

This week

  • [ ] Pause the Prospecting Video ad sets with the lowest CTR; cut the campaign to about $1,000.
  • [ ] Pull Generic Search's search terms report. Add negatives, switch to exact/phrase match, and cut to about $1,200.
  • [ ] Raise Retargeting to $1,200 and set a frequency cap.
  • [ ] Raise Lookalike in steps of about 20% every few days to avoid resetting learning.
  • [ ] Check Brand Search impression share and whether it is losing budget or rank.

This month

  • [ ] Test new Prospecting creative (short hook, product demo, UGC) with a holdout to measure incrementality.
  • [ ] Test Lookalike seeds built from purchasers or top-value customers.
  • [ ] Match Generic Search landing pages to query intent.
  • [ ] Set up Google retargeting or Shopping as a test.

Next month

  • [ ] Re-run this analysis. Judge Lookalike and Retargeting on marginal CPA, and aim for 30+ conversions per campaign before trusting CPAs.

Caveats

  • Prospecting feeds the Retargeting and Brand pools, so a deep cut could shrink them. Watch Retargeting volume and branded search volume for 2–3 weeks after the cut.
  • Attribution is likely last-click, so Prospecting and Brand are probably mis-credited in opposite directions.
  • Break-even CPA depends on margin. At a $95 order value, $50 CPA is profitable only if gross margin is above about 53%.
  • Please share the missing inputs (date range, impression share, frequency, margin, ad-set breakdown) and I can tighten the projections.

Real run in an isolated folder with only this skill installed. Only the Skill and Read tools were enabled, so nothing was fetched from the web and no file was written. The example is fictional. The model tried to save its report as a file, could not, and printed it inline instead.

它做什么

读取你提供的 Google Ads、Meta 或 LinkedIn 投放数据(CSV、粘贴的表格或截图),像付费媒体专家一样做诊断。它会统一整理数据、找出浪费的花费(零转化项目、高 CPA 异常值、疲软的素材)、挑出表现最好的项目、判断 A/B 测试结果是否具有统计意义、分析从点击到收入的漏斗,并在同一标准下比较各个渠道。

工作方式

  1. 模型会询问平台、时间范围、预算、目标、目标 CPA 或 ROAS 以及漏斗数据。
  2. 产出投放健康检查、浪费报告、优胜项目和渠道效率排名。
  3. 给出预算重新分配方案(保守与激进两种情景),以及本周、本月、下月的行动计划。

适合什么场景

看着一个 ROAS 数字却不知道该砍什么、加码什么、下一块钱该投哪里的创业者和营销人员。

说明与风险

基于你粘贴的数据做纯推理:没有脚本,不联网,不需要账号或 API 密钥。最后一步会把报告保存为工作目录(或你指定路径)下的 `campaign-analysis-<日期>.md`,请告诉模型保存位置,或要求直接在对话里输出。你的花费和收入数据会进入对话,不想共享的内容请先删掉。基准值是通用的,预测的改善幅度只是估算,不是承诺。