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paid-ads-strategy付费广告策略

Agent Skill

paid-ads-strategy 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:paid-ads-strategy(付费广告策略)
来源仓库:https://github.com/kostja94/paid-ads-strategy
安装命令:
openclaw skills install paid-ads-strategy
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

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openclaw skills install paid-ads-strategy

简介

帮助用户规划付费广告策略并分配预算。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

  • 适用于选择付费渠道及制定投放计划等场景。
  • 输入目标关键词即可生成初步策略框架。
  • 需确保具备合法合规使用广告平台的能力。
  • paid-ads-strategy 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
paid-ads-strategy
description
When the user wants to plan paid ads strategy, allocate ad budget, or choose paid channels. Also use when the user mentions "paid ads," "paid media," "PPC," "SEM," "web ads," "app ads," "TV ads," "CTV," "OOH," "banner ads," "ad network," "ad alliance," "Taaft ads," "Shopify App Store ads," "Google Ads," "Meta Ads," "PMF testing," "PMF validation," "test product-market fit with ads," "ad spend," "ad budget," "ROAS," "paid acquisition," "Quality Score," or "ad-to-page alignment." For Google Ads execution, use google-ads. For Meta Ads execution, use meta-ads. For landing page alignment, use landing-page-generator.
metadata
version
1.7.0

Strategies: Paid Ads

Guides paid ads strategy: when to use paid acquisition, channel selection, budget allocation, ad-to-landing-page alignment, and cross-platform best practices. Paid ads (Google Ads, Meta, LinkedIn, Reddit, TikTok, etc.) deliver immediate reach and targeting; use when PMF is validated and budget allows.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Platform-specific execution: Web: google-ads, meta-ads, linkedin-ads, reddit-ads, tiktok-ads. App: app-ads. TV/Streaming: ctv-ads.

Before Starting

Check for project context first: If .agents/project-context.md or .claude/project-context.md exists, read it before asking questions.

Gather this context (ask if not provided):

AreaQuestions
GoalsPrimary objective? (Awareness, traffic, leads, sales, app installs) Target CPA/ROAS? Monthly budget? Constraints?
Product & offerWhat are you promoting? Landing page URL? What makes it compelling?
AudienceIdeal customer? Problem you solve? What do they search for or care about? Existing customer data for lookalikes?
Current stateRun ads before? What worked/didn't? Pixel/conversion data? Funnel conversion rate?

Two Modes: PMF Testing vs Conversion-Driven

ModeWhenGoalBudgetMetrics
PMF testingPre-PMF; idea validationValidate demand, messaging, pricing, audience before building$47–500; smallCTR, sign-up rate, bounce rate; low CTR/high bounce = messaging issue
Conversion-drivenPMF validatedCommercialization; scale; efficient acquisitionScale; ROAS targetROAS, CAC, conversion rate

PMF testing: Use paid ads as a learning tool—simple landing page, "Join Waitlist" or "Get Early Access" CTA, test ad variations (value props, price points, audiences). No full product needed. See google-ads for PMF testing setup.

Conversion-driven: Full funnel; conversion tracking; scale budget. Avoid large-scale paid acquisition before PMF—see cold-start-strategy.

Reference: Marketing Cactus – Using Google Ads to Test Product-Market Fit

When to Use Paid Ads

ConditionRationale
PMF validated (conversion mode)Product-market fit confirmed; scale acquisition
PMF testing (validation mode)Small budget; validate demand, messaging, pricing before building
Budget availableCAC and LTV modeled (conversion); or $47–500 for testing
Need speedOrganic takes months; paid delivers traffic immediately

When NOT to Use Paid Ads

ConditionRationale
Pre-PMF + large scaleLarge-scale paid acquisition before PMF wastes budget; use PMF testing mode or cold-start channels first
No conversion trackingCan't measure ROAS; optimize blindly (PMF testing uses CTR/sign-up)
Organic can workSEO, content, community may achieve goal at lower cost; see seo-strategy

Cold start: For acquisition, use Product Hunt, Reddit, directories, founder-led outbound first. For PMF validation, small-budget Google Ads + landing page is valid. See cold-start-strategy, google-ads.

Ad Formats by Medium

Paid ads span multiple media beyond web. Choose by product type and audience.

MediumFormatBest forSkill
WebSearch, Display, Social (landing page)Websites, SaaS, e-commerce, leadsgoogle-ads, meta-ads, linkedin-ads, reddit-ads, tiktok-ads
Display / BannerAd networks, programmatic, banner adsBrand awareness; retargeting; publisher sitesdisplay-ads
AppApp install, in-app ads, App Store/Play StoreMobile apps; user acquisition (UA)app-ads
TV / StreamingCTV, OTT, linear TVBrand awareness; streaming viewers; 95% ad completionctv-ads
Directory / MarketplaceTaaft, Shopify App Store, G2, CapterraHigh-intent directory visitors; app/software discoverydirectory-listing-ads
Out-of-home (OOH)Billboards, transit, DOOHBrand reach; unskippable; real-world exposure

Web drives to landing pages; Display = banner/network on publisher sites; App = install or in-app; TV/CTV = awareness or QR/URL; Directory = paid placements within Taaft, Shopify App Store, G2, Capterra.

Platform Selection (Web)

PlatformBest forUse when
Google AdsHigh-intent search trafficPeople actively search for your solution
Meta (FB/IG)Demand gen, visual productsCreating demand; strong creative assets
LinkedIn AdsB2B, decision-makersJob title/company targeting matters; higher ACV
Reddit AdsNiche communities, discussion-drivenAudience in specific subreddits; authentic, value-first messaging
TikTok AdsYounger demographics, viral creativeAudience 18–34; video capacity
X (Twitter) AdsTech audiences, thought leadershipAudience active on X; timely content

Decision tree: High intent? → Google Search. No? → Awareness: Meta/TikTok/YouTube. B2B: LinkedIn. E-commerce: Meta + Google Shopping. App? → app-ads. Streaming/TV? → ctv-ads. Display/banner? → display-ads. Directory (Taaft, Shopify, G2)? → directory-listing-ads.

Dual-Channel Strategy

Treat Google Ads and Meta Ads as complementary, not competing. Google captures high-intent search at moment of need; Meta creates and shapes demand by introducing brands to new audiences. A dual-channel approach often outperforms single-channel; use unified KPIs (prioritize profit over volume). See google-ads, meta-ads for platform setup.

Budget Allocation

PhaseApproach
Testing (2–4 weeks)70% proven/safe; 30% new audiences/creative
ScalingConsolidate into winners; increase 20–30% at a time; wait 3–5 days between increases

Ad Copy Frameworks (Cross-Platform)

FrameworkStructure
PASProblem → Agitate pain → Introduce solution → CTA
BABCurrent painful state → Desired future state → Your product as bridge
Social ProofImpressive stat/testimonial → What you do → CTA

Creative Best Practices

Image ads: Clear product screenshots; before/after; stats as focal point; human faces (real); text overlay <20%.

Video ads (15–30 sec): Hook (0–3s) → Problem (3–8s) → Solution (8–20s) → CTA (20–30s). Captions always; vertical for Stories/Reels; native feel outperforms polished.

Creative testing order: 1) Concept/angle 2) Hook/headline 3) Visual style 4) Body copy 5) CTA.

Retargeting Overview

Funnel stageAudienceMessage
TopBlog readers, video viewersEducational, social proof
MiddlePricing/feature visitorsCase studies, demos
BottomCart abandoners, trial usersUrgency, objection handling

Exclusions: Existing customers; recent converters (7–14d); bounced visitors (<10s).

Budget & Metrics

MetricPurpose
ROASReturn on ad spend; primary paid channel metric
CACCost per acquisition; compare to LTV
Quality Score (Google)Ad relevance, LP experience; higher = lower CPC
CPC/CPMCost per click/impression; platform-specific

Quantified benchmarks: Quality Score 5→7 can reduce CPC by 30–50%. Smart bidding (Target CPA/ROAS) typically needs ≥30 conversions in 30 days to work effectively. Proper optimization can increase conversion rates 30–150% and reduce CPA 20–50%.

Attribution & Incrementality

Incrementality measures the *additional* value marketing creates beyond what would occur without it—causal impact, not just correlation. Essential in privacy-first environments (cookies limited, third-party data restricted); incrementality testing does not depend on cross-device tracking.

ApproachUse when
Incrementality testingHoldout experiments (geo, channel); isolate true lift; justify budget
AttributionUTM, last-click, multi-touch; compare channels; see traffic-analysis
Advanced conversionServer-side (Enhanced Conversions, CAPI); better accuracy

Principle: Measure incrementality and downstream value, not just cost metrics. Major platforms have lowered experiment thresholds (e.g., Google Ads incrementality experiments from $100K+ to ~$5K minimum spend).

Ad-to-Landing-Page Alignment

PrinciplePractice
Ad promise on pageAd copy (e.g. "15% off") must appear immediately; mismatch increases bounce
Post-click experienceAds drive traffic; LPs drive conversions; optimize full funnel
Quality ScoreWell-optimized LPs improve Google Quality Score → lower CPC
Mobile-firstCTA above fold; thumb-reachable; fast load (<3s)

See landing-page-generator for LP structure and conversion optimization.

Common Mistakes to Avoid

  • Launching without conversion tracking
  • Too many campaigns (fragmenting budget)
  • Not giving algorithms learning time (2–4 weeks; PMax needs 6+ weeks)
  • Single ad per ad set; not refreshing creative (fatigue)
  • Spreading budget too thin; big budget changes

Weekly Optimization Cadence

CheckAction
Creative fatigueRefresh when CTR or conversion rate drops; test new concepts
Learning phaseEnsure sufficient volume (e.g., 50+ conv/week Meta; 30+ conv/30d Google for smart bidding)
Brand term shareIf brand terms >30% of conversions, consider reallocating to non-brand
Placement/spendFlag if any single placement exceeds 15% of total spend

Affiliate Brand Bidding

When running affiliate programs: prohibit affiliates from bidding on your brand terms in Google Ads. Monitor paid search; use brand monitoring tools. See affiliate-page-generator.

Competitor Brand Bidding

When: Bid on "[Competitor] alternative," "[Competitor] vs [You]" to intercept high-intent traffic. Google allows competitor terms as keywords; ad copy cannot use competitor names without permission.

Landing page: Use a dedicated comparison/alternatives page, not a blog. Users searching competitor brands expect direct alternatives; blog increases bounce. See alternatives-page-generator, google-ads Competitor Brand Keywords.

Output Format

  • Channel recommendation (and route to platform skill if needed)
  • When to start (PMF check; budget readiness)
  • Budget approach (test budget; ROAS target)
  • Landing page requirement (ad-to-page alignment)
  • Metrics to track (ROAS, CAC, Quality Score)

Related Skills

  • google-ads, meta-ads, linkedin-ads, reddit-ads, tiktok-ads: Web platform setup
  • reddit-posts, linkedin-posts, tiktok-captions, twitter-x-posts: Platform (organic) skills; creative alignment with reddit-ads, linkedin-ads, tiktok-ads, X Ads
  • app-ads: App install, UA; Google App Campaigns, Apple Search Ads
  • ctv-ads: CTV, OTT, streaming ads
  • display-ads: Ad networks, banner ads, programmatic display
  • directory-listing-ads: Taaft, Shopify App Store, G2, Capterra paid placements
  • landing-page-generator: LP structure for paid traffic; ad-to-page alignment
  • alternatives-page-generator: Competitor brand keyword ads → dedicated LP (not blog); comparison page structure
  • cold-start-strategy: When NOT to use paid ads
  • pmf-strategy: PMF validation; when to use PMF testing vs conversion-driven mode
  • seo-strategy: Organic vs paid
  • integrated-marketing: PESO model; paid as one channel
  • keyword-research: Keywords inform paid search targeting
  • traffic-analysis: UTM for paid attribution
  • analytics-tracking: Conversion tracking; ROAS measurement; incrementality experiments

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