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ChineseBudget Allocation & Bidding Strategy
预算分配与竞价策略
Process
流程
- Collect budget and performance data across all active platforms
- Read for allocation framework
ads/references/budget-allocation.md - Read for strategy decision trees
ads/references/bidding-strategies.md - Read for CPC/CPA benchmarks
ads/references/benchmarks.md - Read for health score algorithm
ads/references/scoring-system.md - Evaluate budget allocation, bidding strategy, and scaling readiness
- Generate recommendations with kill list and scale list
- 收集所有活跃平台的预算和效果数据
- 阅读获取分配框架
ads/references/budget-allocation.md - 阅读获取策略决策树
ads/references/bidding-strategies.md - 阅读获取CPC/CPA基准值
ads/references/benchmarks.md - 阅读获取健康评分算法
ads/references/scoring-system.md - 评估预算分配、竞价策略和扩量准备情况
- 生成包含关停列表和扩量列表的建议
Budget Allocation Framework
预算分配框架
70/20/10 Rule
70/20/10法则
- 70% on proven channels (consistent ROAS/CPA targets met)
- 20% on scaling channels (showing promise, need more data)
- 10% on testing channels (new platforms, audiences, creatives)
- 70% 分配给已验证渠道(持续达成ROAS/CPA目标)
- 20% 分配给扩量渠道(表现有潜力,需更多数据)
- 10% 分配给测试渠道(新平台、受众、创意)
Platform Selection Matrix
平台选择矩阵
| Business Type | Primary | Secondary | Testing |
|---|---|---|---|
| SaaS B2B | Google Search, LinkedIn | Meta, YouTube | TikTok, Microsoft |
| E-commerce | Google Shopping, Meta | TikTok, YouTube | Microsoft, LinkedIn |
| Local Service | Google Search, Google LSA | Meta | Microsoft, YouTube |
| B2B Enterprise | LinkedIn, Google Search | Meta | Microsoft, TikTok |
| Info Products | Meta, YouTube | Google Search | TikTok |
| Mobile App | Meta, Google UAC | TikTok | Apple Search Ads |
| Real Estate | Google Search, Meta | YouTube | Microsoft |
| Healthcare | Google Search | Meta | Microsoft, YouTube |
| Finance | Google Search, Meta | Microsoft | |
| Agency (clients) | Varies by client | — | — |
| 业务类型 | 核心平台 | 次要平台 | 测试平台 |
|---|---|---|---|
| SaaS B2B | Google Search, LinkedIn | Meta, YouTube | TikTok, Microsoft |
| 电商 | Google Shopping, Meta | TikTok, YouTube | Microsoft, LinkedIn |
| 本地服务 | Google Search, Google LSA | Meta | Microsoft, YouTube |
| B2B企业 | LinkedIn, Google Search | Meta | Microsoft, TikTok |
| 信息产品 | Meta, YouTube | Google Search | TikTok |
| 移动应用 | Meta, Google UAC | TikTok | Apple Search Ads |
| 房地产 | Google Search, Meta | YouTube | Microsoft |
| 医疗健康 | Google Search | Meta | Microsoft, YouTube |
| 金融 | Google Search, Meta | Microsoft | |
| 代理机构(客户) | 依客户而定 | — | — |
Budget Sufficiency Rules
预算充足性规则
| Platform | Minimum Daily | Learning Phase Budget |
|---|---|---|
| Google Search | $20/day | Sufficient for 15+ conv/month |
| Google PMax | $50/day | Sufficient for algorithm optimization |
| Meta | $20/day per ad set | ≥5x target CPA per ad set |
| $50/day Sponsored Content | 15+ conversions/month | |
| TikTok | $50/day campaign, $20/day ad group | ≥50x target CPA per ad group |
| Microsoft | No strict minimum | Sufficient for stable delivery |
| 平台 | 每日最低预算 | 学习期预算 |
|---|---|---|
| Google Search | $20/天 | 需满足每月15+转化 |
| Google PMax | $50/天 | 满足算法优化需求 |
| Meta | 每个广告组$20/天 | 每个广告组≥5倍目标CPA |
| 赞助内容$50/天 | 每月15+转化 | |
| TikTok | 广告系列$50/天,广告组$20/天 | 每个广告组≥50倍目标CPA |
| Microsoft | 无严格最低要求 | 满足稳定投放需求 |
Bidding Strategy Evaluation
竞价策略评估
Google Ads Bidding Decision Tree
Google Ads竞价决策树
Start
├─ <30 conversions/month?
│ └─ Use Maximize Clicks (cap CPC at benchmark)
│ └─ When >30 conv/month → Maximize Conversions
├─ 30-50 conversions/month?
│ └─ Use Maximize Conversions
│ └─ When stable CPA → Target CPA
├─ >50 conversions/month?
│ └─ Use Target CPA
│ └─ When revenue tracking → Target ROAS
└─ Revenue tracking active + >50 conv/month?
└─ Use Target ROASStart
├─ <30 conversions/month?
│ └─ Use Maximize Clicks (cap CPC at benchmark)
│ └─ When >30 conv/month → Maximize Conversions
├─ 30-50 conversions/month?
│ └─ Use Maximize Conversions
│ └─ When stable CPA → Target CPA
├─ >50 conversions/month?
│ └─ Use Target CPA
│ └─ When revenue tracking → Target ROAS
└─ Revenue tracking active + >50 conv/month?
└─ Use Target ROASMeta Ads Bidding
Meta Ads竞价策略
- Lowest Cost (default): best for volume, may have CPA variance
- Cost Cap: sets CPA ceiling, may reduce volume
- Bid Cap: maximum bid per auction, most control
- ROAS Goal: target return on ad spend
- CBO vs ABO: CBO for proven campaigns, ABO for testing
- 最低成本(默认):最适合追求量级,CPA可能存在波动
- 成本上限:设置CPA上限,可能会降低量级
- 出价上限:每次竞价的最高出价,控制度最高
- ROAS目标:目标广告支出回报率
- CBO vs ABO:CBO适用于已验证的广告系列,ABO适用于测试
LinkedIn Bidding
LinkedIn竞价策略
- Cost Per Send (CPS): for Message Ads
- Maximum Delivery: for Sponsored Content (recommended)
- Manual CPC: for tight budget control
- Target Cost: for predictable CPA
- 每条消息成本(CPS):适用于消息广告
- 最大投放量:适用于赞助内容(推荐)
- 手动CPC:适用于严格的预算控制
- 目标成本:适用于可预测的CPA
TikTok Bidding
TikTok竞价策略
- Lowest Cost: maximize conversions within budget (volume)
- Cost Cap: set maximum CPA (efficiency)
- Bid Cap: maximum bid per impression
- Budget ≥50x CPA per ad group for learning phase exit
- 最低成本:在预算内最大化转化(追求量级)
- 成本上限:设置最高CPA(追求效率)
- 出价上限:每次展示的最高出价
- 每个广告组预算≥50倍CPA才可退出学习期
Microsoft Bidding
Microsoft竞价策略
- Mirror Google strategy but bid 20-35% lower
- Enhanced CPC for manual campaigns
- Target CPA / Target ROAS for automated
- 镜像Google策略,但出价低20-35%
- 手动广告系列使用增强CPC
- 自动化广告系列使用目标CPA/目标ROAS
Scaling Assessment
扩量评估
Ready to Scale (Green Light)
可扩量(绿灯)
- CPA consistently below target for 2+ weeks
- ≥50 conversions per week (learning phase exited)
- CTR stable or improving
- ROAS above target
- No creative fatigue signals
- CPA连续2周以上低于目标值
- 每周≥50次转化(已退出学习期)
- CTR稳定或呈上升趋势
- ROAS高于目标值
- 无创意疲劳信号
20% Rule
20%法则
Never increase budget by more than 20% at a time:
- Week 1: $100/day → $120/day
- Week 2: $120/day → $144/day
- Week 3: $144/day → $173/day
- Monitor 3-5 days after each increase for performance stability
每次预算增幅不得超过20%:
- 第1周:$100/天 → $120/天
- 第2周:$120/天 → $144/天
- 第3周:$144/天 → $173/天
- 每次增幅后监控3-5天,确保表现稳定
Scaling Methods
扩量方法
- Vertical: increase budget on winning campaigns (20% rule)
- Horizontal: duplicate winning campaigns to new audiences
- Platform expansion: add budget on new platforms
- Geographic expansion: test new markets/regions
- Format expansion: test new ad formats on same platform
- 纵向扩量:为表现优异的广告系列增加预算(遵循20%法则)
- 横向扩量:复制表现优异的广告系列至新受众
- 平台拓展:为新平台增加预算
- 地域拓展:测试新市场/地区
- 形式拓展:在同一平台测试新广告形式
Kill List Assessment
关停列表评估
3x Kill Rule
3倍关停法则
- Any campaign/ad group with CPA >3x target → flag for pause
- Review spend in last 14 days with no conversions → flag for pause
- Creative with CTR >50% below platform benchmark → flag for creative kill
- 任何CPA>3倍目标值的广告系列/广告组 → 标记为暂停
- 过去14天有支出但无转化的广告系列/广告组 → 标记为暂停
- CTR比平台基准低50%以上的创意 → 标记为淘汰创意
Kill Decision Framework
关停决策框架
| Scenario | Data Required | Action |
|---|---|---|
| CPA >3x target | ≥7 days data, ≥20 clicks | Pause immediately |
| No conversions | ≥$100 spend or ≥50 clicks | Pause and diagnose |
| CTR <50% of benchmark | ≥1,000 impressions | Kill creative, test new |
| ROAS <50% of target | ≥14 days data | Reduce budget 50% or pause |
| 场景 | 所需数据 | 行动 |
|---|---|---|
| CPA>3倍目标值 | ≥7天数据,≥20次点击 | 立即暂停 |
| 无转化 | ≥$100支出或≥50次点击 | 暂停并诊断原因 |
| CTR<基准值的50% | ≥1000次展示 | 淘汰该创意,测试新创意 |
| ROAS<目标值的50% | ≥14天数据 | 削减50%预算或暂停 |
MER (Marketing Efficiency Ratio)
MER(营销效率比)
MER = Total Revenue / Total Marketing Spend- Assess blended efficiency across all platforms
- Target MER varies by business: 3x-10x depending on margins
- Use MER to evaluate overall health, not just per-platform ROAS
- Incrementality testing recommended for MER accuracy
MER = Total Revenue / Total Marketing Spend- 评估所有平台的综合投放效率
- 目标MER因业务而异:根据利润率不同为3倍-10倍
- 使用MER评估整体健康状况,而非仅单个平台的ROAS
- 建议进行增量测试以提高MER准确性
Output
输出成果
Budget & Bidding Assessment
预算与竞价评估
Budget Allocation Health
Allocation Strategy: ████████░░ XX/100
Bidding Strategies: ██████████ XX/100
Scaling Readiness: ███████░░░ XX/100
Budget Sufficiency: █████░░░░░ XX/100Budget Allocation Health
Allocation Strategy: ████████░░ XX/100
Bidding Strategies: ██████████ XX/100
Scaling Readiness: ███████░░░ XX/100
Budget Sufficiency: █████░░░░░ XX/100Deliverables
交付物
- — Full allocation and bidding analysis
BUDGET-STRATEGY-REPORT.md - Current vs recommended budget split (pie chart data)
- Bidding strategy recommendations per platform/campaign
- Scale list: campaigns ready for more budget
- Kill list: campaigns/ad groups to pause immediately
- MER analysis and trend
- Quick Wins for immediate budget optimization
- — 完整的分配与竞价分析报告
BUDGET-STRATEGY-REPORT.md - 当前与建议的预算拆分(饼图数据)
- 各平台/广告系列的竞价策略建议
- 扩量列表:可增加预算的广告系列
- 关停列表:需立即暂停的广告系列/广告组
- MER分析与趋势
- 快速优化方案:立即优化预算的举措