paid-ads-strategy

# 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):

| Area | Questions |
|------|-----------|
| **Goals** | Primary objective? (Awareness, traffic, leads, sales, app installs) Target CPA/ROAS? Monthly budget? Constraints? |
| **Product & offer** | What are you promoting? Landing page URL? What makes it compelling? |
| **Audience** | Ideal customer? Problem you solve? What do they search for or care about? Existing customer data for lookalikes? |
| **Current state** | Run ads before? What worked/didn't? Pixel/conversion data? Funnel conversion rate? |

## Two Modes: PMF Testing vs Conversion-Driven

| Mode | When | Goal | Budget | Metrics |
|------|------|------|--------|---------|
| **PMF testing** | Pre-PMF; idea validation | Validate demand, messaging, pricing, audience before building | $47–500; small | CTR, sign-up rate, bounce rate; low CTR/high bounce = messaging issue |
| **Conversion-driven** | PMF validated | Commercialization; scale; efficient acquisition | Scale; ROAS target | ROAS, 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](https://mktcactus.com/en/using-google-ads-to-test-product-market-fit-before-launching/)

## When to Use Paid Ads

| Condition | Rationale |
|-----------|-----------|
| **PMF validated** (conversion mode) | Product-market fit confirmed; scale acquisition |
| **PMF testing** (validation mode) | Small budget; validate demand, messaging, pricing before building |
| **Budget available** | CAC and LTV modeled (conversion); or $47–500 for testing |
| **Need speed** | Organic takes months; paid delivers traffic immediately |

## When NOT to Use Paid Ads

| Condition | Rationale |
|-----------|-----------|
| **Pre-PMF + large scale** | Large-scale paid acquisition before PMF wastes budget; use PMF testing mode or cold-start channels first |
| **No conversion tracking** | Can't measure ROAS; optimize blindly (PMF testing uses CTR/sign-up) |
| **Organic can work** | SEO, 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.

| Medium | Format | Best for | Skill |
|--------|--------|----------|-------|
| **Web** | Search, Display, Social (landing page) | Websites, SaaS, e-commerce, leads | google-ads, meta-ads, linkedin-ads, reddit-ads, tiktok-ads |
| **Display / Banner** | Ad networks, programmatic, banner ads | Brand awareness; retargeting; publisher sites | display-ads |
| **App** | App install, in-app ads, App Store/Play Store | Mobile apps; user acquisition (UA) | app-ads |
| **TV / Streaming** | CTV, OTT, linear TV | Brand awareness; streaming viewers; 95% ad completion | ctv-ads |
| **Directory / Marketplace** | Taaft, Shopify App Store, G2, Capterra | High-intent directory visitors; app/software discovery | directory-listing-ads |
| **Out-of-home (OOH)** | Billboards, transit, DOOH | Brand 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)

| Platform | Best for | Use when |
|----------|----------|----------|
| **Google Ads** | High-intent search traffic | People actively search for your solution |
| **Meta (FB/IG)** | Demand gen, visual products | Creating demand; strong creative assets |
| **LinkedIn Ads** | B2B, decision-makers | Job title/company targeting matters; higher ACV |
| **Reddit Ads** | Niche communities, discussion-driven | Audience in specific subreddits; authentic, value-first messaging |
| **TikTok Ads** | Younger demographics, viral creative | Audience 18–34; video capacity |
| **X (Twitter) Ads** | Tech audiences, thought leadership | Audience 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

| Phase | Approach |
|-------|----------|
| **Testing (2–4 weeks)** | 70% proven/safe; 30% new audiences/creative |
| **Scaling** | Consolidate into winners; increase 20–30% at a time; wait 3–5 days between increases |

## Ad Copy Frameworks (Cross-Platform)

| Framework | Structure |
|-----------|-----------|
| **PAS** | Problem → Agitate pain → Introduce solution → CTA |
| **BAB** | Current painful state → Desired future state → Your product as bridge |
| **Social Proof** | Impressive 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 stage | Audience | Message |
|--------------|----------|---------|
| Top | Blog readers, video viewers | Educational, social proof |
| Middle | Pricing/feature visitors | Case studies, demos |
| Bottom | Cart abandoners, trial users | Urgency, objection handling |

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

## Budget & Metrics

| Metric | Purpose |
|--------|---------|
| **ROAS** | Return on ad spend; primary paid channel metric |
| **CAC** | Cost per acquisition; compare to LTV |
| **Quality Score** (Google) | Ad relevance, LP experience; higher = lower CPC |
| **CPC/CPM** | Cost 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.

| Approach | Use when |
|----------|----------|
| **Incrementality testing** | Holdout experiments (geo, channel); isolate true lift; justify budget |
| **Attribution** | UTM, last-click, multi-touch; compare channels; see **traffic-analysis** |
| **Advanced conversion** | Server-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

| Principle | Practice |
|-----------|----------|
| **Ad promise on page** | Ad copy (e.g. "15% off") must appear immediately; mismatch increases bounce |
| **Post-click experience** | Ads drive traffic; LPs drive conversions; optimize full funnel |
| **Quality Score** | Well-optimized LPs improve Google Quality Score → lower CPC |
| **Mobile-first** | CTA 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

| Check | Action |
|-------|--------|
| **Creative fatigue** | Refresh when CTR or conversion rate drops; test new concepts |
| **Learning phase** | Ensure sufficient volume (e.g., 50+ conv/week Meta; 30+ conv/30d Google for smart bidding) |
| **Brand term share** | If brand terms >30% of conversions, consider reallocating to non-brand |
| **Placement/spend** | Flag 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