关于 remarketing-strategy
用于设计再营销策略的营销技能,按转化漏斗阶段规划受众与跨渠道消息。适合处理用户召回的 Agent,并涵盖频次上限和顺序营销指导。
主要功能
- 01按转化漏斗阶段划分受众
- 02规划跨渠道再营销
- 03设计顺序消息链
- 04控制频次与受众期限
- 05排除不适用受众
适用场景
- 01召回放弃购物车的用户
- 02按转化漏斗阶段规划广告
- 03通过频次上限减少广告疲劳
安装
复制下面的命令,在终端中运行。
npx skills add https:/ / github.com/ itallstartedwithaidea/ agent-skills --skill remarketing-strategy安装后在 Claude Code 中输入/remarketing-strategy确认已加载。
详细介绍
再营销策略
属于 Agent Skills™,由 googleadsagent.ai™ 推出
描述
再营销策略技能用于设计并实施跨渠道再营销架构,在转化漏斗的每个阶段重新吸引用户。数字广告中的再营销一直是投资回报率最高的策略,因为它针对的是已经表现出兴趣的用户。这项技能将简单的“向过去的访客展示广告”方式,转变为复杂的漏斗感知型再营销系统,涵盖顺序消息、频次控制和跨设备协调。
该技能根据漏斗位置和互动深度划分受众:漏斗顶部访客(单页会话)、漏斗中部互动用户(多页会话、内容浏览者)、漏斗底部潜在客户(放弃购物车者、开始填写表单者、查看定价页面者),以及转化后的客户(用于追加销售和留存)。每个细分受众都会收到与其和品牌关系相匹配的定制消息,从强化认知到推动紧迫转化。
跨渠道执行涵盖展示广告再营销、YouTube 再营销、RLSA(搜索广告再营销名单)、采用特定产品创意素材的动态再营销,以及跨设备客户旅程映射。该技能会实施频次上限以防止广告疲劳,优化成员资格期限以平衡覆盖范围和相关性,并通过顺序消息链逐步推动用户完成转化。它还会管理排除受众分层,以避免重复传达信息和浪费展示次数。
适用场景
- 用户询问“再营销”或“重定向”策略
- 用户提到“再营销名单”或“受众细分”
- 用户希望重新吸引过去的访客或放弃购物车的用户
- 用户询问“频次上限”或“广告疲劳”
- 用户提到“RLSA”或“搜索再营销”
- 用户询问“动态再营销”或“产品再营销”
- 用户希望构建“客户旅程”或“顺序消息”
- 用户提到“跨设备”定位或“跨渠道”再营销
- 用户询问“成员资格期限”或“受众窗口”优化
架构
flowchart TD
A[User Interaction Data] --> B[Funnel Stage Classifier]
B --> C[Top of Funnel\nSingle Page, < 30s]
B --> D[Mid Funnel\n2-3 Pages, Content Engaged]
B --> E[Bottom Funnel\nCart/Form/Pricing Viewed]
B --> F[Post-Conversion\nPurchasers, Leads]
C --> G[Awareness Remarketing]
G --> G1[Brand Story Ads]
G --> G2[Educational Content]
G --> G3[Social Proof]
D --> H[Consideration Remarketing]
H --> H1[Product/Service Benefits]
H --> H2[Case Studies & Reviews]
H --> H3[Comparison Content]
E --> I[Conversion Remarketing]
I --> I1[Urgency Messaging]
I --> I2[Incentive Offers]
I --> I3[Dynamic Product Ads]
I --> I4[Cart Recovery Emails]
F --> J[Retention Remarketing]
J --> J1[Cross-Sell / Upsell]
J --> J2[Loyalty Offers]
J --> J3[Reactivation Campaigns]
G1 --> K[Channel Orchestrator]
G2 --> K
G3 --> K
H1 --> K
H2 --> K
H3 --> K
I1 --> K
I2 --> K
I3 --> K
J1 --> K
J2 --> K
J3 --> K
K --> L[Display Network]
K --> M[YouTube]
K --> N[Search RLSA]
K --> O[Discovery / Demand Gen]
L --> P[Frequency Capping Engine]
M --> P
N --> P
O --> P
P --> Q[Cross-Device Graph]
Q --> R[Unified User Journey]
实施
基于漏斗的受众细分和再营销架构:
const FUNNEL_SEGMENTS = {
TOP: {
name: 'Awareness Visitors',
rules: { pagesViewed: 1, sessionDuration: '<30s', converted: false },
membershipDuration: 30,
messagingStrategy: 'brand_awareness',
channels: ['display', 'youtube'],
frequencyCap: { impressionsPerDay: 3, impressionsPerWeek: 10 }
},
MID: {
name: 'Engaged Visitors',
rules: { pagesViewed: '>=2', sessionDuration: '>=30s', converted: false },
membershipDuration: 30,
messagingStrategy: 'consideration',
channels: ['display', 'youtube', 'search_rlsa'],
frequencyCap: { impressionsPerDay: 5, impressionsPerWeek: 15 }
},
BOTTOM: {
name: 'High Intent Prospects',
rules: { viewedHighIntentPage: true, converted: false },
membershipDuration: 14,
messagingStrategy: 'conversion',
channels: ['display', 'youtube', 'search_rlsa', 'demand_gen'],
frequencyCap: { impressionsPerDay: 7, impressionsPerWeek: 25 }
},
POST_CONVERSION: {
name: 'Customers',
rules: { converted: true },
membershipDuration: 180,
messagingStrategy: 'retention',
channels: ['display', 'youtube', 'search_rlsa'],
frequencyCap: { impressionsPerDay: 2, impressionsPerWeek: 7 }
}
};
async function buildRemarketingStrategy(customerId, config) {
const { businessType, conversionActions, hasDynamicFeed } = config;
const existingLists = await getRemarketingLists(customerId);
const conversionData = await getFunnelConversionData(customerId);
const strategy = {
segments: buildFunnelSegments(conversionData, businessType),
sequentialMessaging: designSequentialChains(conversionData),
dynamicRemarketing: hasDynamicFeed ? configureDynamic(customerId) : null,
rlsaStrategy: configureRLSA(conversionData),
frequencyCapping: optimizeFrequencyCaps(conversionData),
exclusions: buildExclusionMatrix(),
crossDeviceStrategy: configureCrossDevice(customerId)
};
return strategy;
}
function buildFunnelSegments(conversionData, businessType) {
const segments = [];
for (const [stage, config] of Object.entries(FUNNEL_SEGMENTS)) {
const windows = stage === 'BOTTOM'
? [1, 3, 7, 14]
: stage === 'MID'
? [7, 14, 30]
: [14, 30, 60, 90];
for (const window of windows) {
segments.push({
name: `${config.name} - ${window}d`,
funnelStage: stage,
membershipDuration: window,
rules: config.rules,
estimatedSize: estimateAudienceSize(conversionData, config.rules, window),
bidAdjustment: calculateBidAdjustment(stage, window),
messagingTheme: config.messagingStrategy
});
}
}
return segments;
}
function calculateBidAdjustment(stage, windowDays) {
const baseAdjustments = { TOP: 0, MID: 20, BOTTOM: 50, POST_CONVERSION: 15 };
const recencyBoost = Math.max(0, 30 - windowDays);
return `+${baseAdjustments[stage] + recencyBoost}%`;
}
顺序消息和动态再营销:
function designSequentialChains(conversionData) {
return {
newVisitorChain: [
{ day: 1, message: 'brand_introduction', creative: 'brand_video_15s', channel: 'youtube' },
{ day: 3, message: 'value_proposition', creative: 'benefit_display_ads', channel: 'display' },
{ day: 7, message: 'social_proof', creative: 'testimonial_ads', channel: 'display' },
{ day: 14, message: 'soft_cta', creative: 'content_offer', channel: 'demand_gen' }
],
cartAbandonerChain: [
{ hour: 1, message: 'cart_reminder', creative: 'dynamic_product_ads', channel: 'display' },
{ day: 1, message: 'urgency', creative: 'limited_stock_messaging', channel: 'display' },
{ day: 3, message: 'incentive', creative: 'discount_offer', channel: 'display' },
{ day: 7, message: 'alternative_products', creative: 'related_products', channel: 'display' }
],
customerRetentionChain: [
{ day: 30, message: 'thank_you', creative: 'loyalty_offer', channel: 'display' },
{ day: 60, message: 'cross_sell', creative: 'complementary_products', channel: 'display' },
{ day: 90, message: 'reactivation', creative: 'win_back_offer', channel: 'demand_gen' }
]
};
}
function configureDynamic(customerId) {
return {
feedRequirements: {
requiredAttributes: ['id', 'title', 'image_link', 'price', 'final_url'],
recommendedAttributes: ['sale_price', 'brand', 'custom_label'],
feedSource: 'merchant_center_or_custom'
},
templateStrategy: {
singleProduct: { layout: 'product_image_price_cta', bestFor: 'product_page_viewers' },
multiProduct: { layout: 'carousel_recently_viewed', bestFor: 'category_browsers' },
offerOverlay: { layout: 'product_with_promo_badge', bestFor: 'cart_abandoners_with_offer' }
},
responsiveDisplayAds: {
headlines: ['Come Back for {product_name}', 'Still Interested?', 'Don\'t Miss Out'],
descriptions: ['Complete your purchase today.', 'Limited stock available.'],
promotionText: 'Free shipping on orders over $50'
}
};
}
function configureRLSA(conversionData) {
return {
bidOnlyMode: {
audiences: ['all_visitors_30d', 'engaged_visitors_30d'],
bidAdjustments: {
all_visitors: '+15%',
engaged_visitors: '+30%',
cart_abandoners: '+50%'
},
useCase: 'Increase bids for past visitors on existing keywords'
},
targetAndBidMode: {
audiences: ['cart_abandoners_14d', 'past_purchasers_180d'],
additionalKeywords: ['broad_match_generic_terms'],
useCase: 'Show ads on broader queries only to high-intent past visitors'
}
};
}
function buildExclusionMatrix() {
return {
rules: [
{ campaign: 'prospecting', exclude: ['all_visitors_30d'] },
{ campaign: 'consideration_remarketing', exclude: ['converters_30d', 'top_of_funnel_only'] },
{ campaign: 'conversion_remarketing', exclude: ['converters_30d'] },
{ campaign: 'retention_remarketing', exclude: ['non_converters'] }
],
rationale: 'Prevent audience overlap to ensure each user receives funnel-appropriate messaging'
};
}
与 Buddy™ Agent 集成
再营销策略是 Buddy™ Agent 中负责留存和重新互动的编排层。该平台会自动管理整个再营销生命周期:创建受众名单、管理成员资格期限、部署顺序消息,以及优化频次上限。
Buddy™ 会按漏斗阶段监控再营销效果,并自动调整策略。当它检测到某个细分受众的转化率下降(广告疲劳信号)时,会调低频次上限并更新创意素材。当某个细分受众表现良好时,它会建议增加预算并扩大受众范围。
这项技能与受众定位技能紧密集成,用于构建名单;与广告文案生成技能集成,用于制作再营销创意素材;并与转化追踪技能集成,以确保准确定义转化后的受众。Buddy™ 提供统一的客户旅程视图,展示用户如何经过再营销漏斗,以及他们在哪里完成转化或流失。
最佳实践
- 按转化漏斗阶段细分再营销列表——绝不要向所有访客发送相同的信息
- 对漏斗底部受众采用较短的会员期限(7-14 天),以保持紧迫感
- 设置频次上限,防止广告疲劳(大多数细分受众每天展示 3-5 次)
- 构建循序渐进的信息链,逐步推动用户完成转化
- 将近期转化的用户排除在获客再营销之外,避免浪费展示次数
- 为电商采用动态再营销,向用户展示他们浏览过的具体产品
- 对高意向再营销列表应用 +30-50% 的 RLSA 出价调整
- 为每个转化漏斗阶段创建单独的再营销广告系列,并分配专属预算
- 每隔 4-6 周更新一次再营销创意,以对抗广告疲劳
- 使用跨设备再营销(已登录用户),确保信息在不同设备间保持连贯
平台兼容性
| 平台 | 支持 |
|---|---|
| Claude Code | ✅ |
| Cursor | ✅ |
| Codex | ✅ |
| Gemini | ✅ |
相关技能
- 受众定向 - 受众列表构建和细分为创建再营销列表提供支持
- 广告文案生成 - 循序渐进的再营销信息需要针对每个转化漏斗阶段定制广告创意
- 转化跟踪 - 准确的转化事件可界定转化后受众的边界
- 实体记忆管理 - 跟踪再营销漏斗表现和跨会话的受众行为
关键词
再营销策略、再定向、RLSA、动态再营销、受众细分、频次上限、循序渐进的信息、客户旅程、跨设备再营销、再营销列表、购物车放弃、漏斗再营销、展示广告再营销、YouTube 再营销、再营销最佳实践
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