Ads Execution Hub
Purpose
Core mission:
- - Serve as the dedicated ad operations and optimization interface.
- Manage planning, launch, monitoring, and scaling across ad channels.
- Standardize decision policies for bidding, budget, and performance recovery.
- Output clear operator actions for media teams.
When To Trigger
Use this skill when the user asks for:
- - campaign setup, optimization, or scaling in one or more channels
- budget and bidding decision support with performance constraints
- anomaly diagnosis and recovery actions for live campaigns
- cross-channel media operation playbooks
High-signal keywords:
- - ads execution hub, run ads, campaign, media buyer
- bidding, budget, allocation, optimize, scale
- cpa, roas, performance, monitor, abtest
Input Contract
Required:
- - campaignobjective
- channelscope
- budgetconstraints
- recentperformance_snapshot
Optional:
- - creativestate
- audiencestate
- trackinghealth
- policyoraccountflags
Output Contract
- 1. Campaign Action Plan
- Bidding and Budget Policy
- AB Test and Scale Model
- Monitoring and Alert Plan
- Operator Handoff Checklist
Workflow
- 1. Normalize objective and KPI constraints.
- Evaluate channel readiness and structure quality.
- Produce bid and allocation actions.
- Attach testing and scaling rules.
- Return monitoring triggers and operator checklist.
Decision Rules
- - If measurement confidence is low, limit scale and improve tracking first.
- If ROAS is stable above threshold, allow staged budget increases.
- If CPA is unstable, reduce concurrency of experiments.
- If anomaly risk is high, prefer containment actions first.
Platform Notes
Primary scope:
- - Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, DSP/programmatic
Platform behavior guidance:
- - Keep channel recommendations execution-specific and auditable.
- Align bid logic with each platform's optimization mechanics.
Constraints And Guardrails
- - No irreversible changes without rollback conditions.
- Keep every recommendation tied to KPI impact.
- Respect policy and account health constraints.
Failure Handling And Escalation
- - If required platform data is missing, return minimum data request list.
- If policy or account block appears, route to compliance/account helper.
- If spend risk is severe, trigger emergency control mode.
Code Examples
Campaign Control Spec
objective: improve_roas
channels: [Meta, GoogleAds, TikTokAds]
budgetmode: stagedscale
cpa_ceiling: 42
roas_floor: 2.5
Alert Trigger Rule
if roasdroppct > 20 and spenduppct > 25:
severity: high
action: capbudgetand_notify
Examples
Example 1: Launch and stabilize
Input:
- - New campaign across Meta and TikTok Ads
Output focus:
- - launch checklist
- first-week controls
- fallback rules
Example 2: Scale after validation
Input:
- - Stable ROAS for 10 days
Output focus:
- - scale ladder
- bid policy updates
- monitoring checkpoints
Example 3: Cross-channel anomaly
Input:
- - Spend surge, mixed conversion signals
Output focus:
- - anomaly triage
- containment actions
- next validation steps
Quality Checklist
- - [ ] Required sections are complete and non-empty
- [ ] Trigger keywords include at least 3 registry terms
- [ ] Input and output contracts are operationally testable
- [ ] Workflow and decision rules are capability-specific
- [ ] Platform references are explicit and concrete
- [ ] At least 3 practical examples are included
广告执行中心
目的
核心使命:
- - 作为专属广告运营与优化接口
- 管理跨渠道广告的规划、投放、监控与扩量
- 标准化出价、预算及效果恢复的决策策略
- 为媒体团队输出清晰的操作指令
触发条件
当用户提出以下需求时使用本技能:
- - 在单个或多个渠道进行广告组设置、优化或扩量
- 在效果约束下提供预算与出价决策支持
- 对正在投放的广告进行异常诊断与恢复操作
- 跨渠道媒体运营执行手册
高信号关键词:
- - 广告执行中心、投放广告、广告组、媒介采购
- 出价、预算、分配、优化、扩量
- 单次转化成本、广告支出回报率、效果、监控、A/B测试
输入协议
必填项:
可选项:
输出协议
- 1. 广告组执行方案
- 出价与预算策略
- A/B测试与扩量模型
- 监控与预警方案
- 操作人员交接清单
工作流程
- 1. 标准化目标与关键绩效指标约束
- 评估渠道就绪度与结构质量
- 制定出价与分配操作
- 附加测试与扩量规则
- 返回监控触发条件与操作人员清单
决策规则
- - 若测量置信度较低,则限制扩量并优先改进追踪
- 若广告支出回报率稳定高于阈值,则允许分阶段增加预算
- 若单次转化成本不稳定,则减少实验并发数
- 若异常风险较高,则优先采取遏制措施
平台说明
主要范围:
- - Meta(Facebook/Instagram)、Google Ads、TikTok Ads、YouTube Ads、Amazon Ads、Shopify Ads、DSP/程序化广告
平台行为指导:
- - 保持渠道建议具有可执行性和可审计性
- 使出价逻辑与各平台的优化机制保持一致
约束与护栏
- - 无回滚条件时不得进行不可逆更改
- 每项建议必须与关键绩效指标影响挂钩
- 尊重政策与账户健康约束
故障处理与升级
- - 若缺少所需平台数据,则返回最低数据请求清单
- 若出现政策或账户封锁,则转交合规/账户助手处理
- 若支出风险严重,则触发紧急控制模式
代码示例
广告组控制规范
目标:提升广告支出回报率
渠道:[Meta, GoogleAds, TikTokAds]
预算模式:分阶段扩量
单次转化成本上限:42
广告支出回报率下限:2.5
预警触发规则
若广告支出回报率下降百分比 > 20 且 支出上升百分比 > 25:
严重程度:高
操作:限制预算并通知
示例
示例1:投放与稳定
输入:
输出重点:
示例2:验证后扩量
输入:
输出重点:
示例3:跨渠道异常
输入:
输出重点:
质量检查清单
- - [ ] 必填部分完整且非空
- [ ] 触发关键词包含至少3个注册术语
- [ ] 输入与输出协议具有可操作性测试性
- [ ] 工作流程与决策规则具有能力针对性
- [ ] 平台引用明确具体
- [ ] 包含至少3个实用示例