paid-ads

name	paid-ads
description	Paid advertising for Google, Meta, LinkedIn — ad copy, audience targeting, budget optimization, conversion tracking. Use when setting up ad campaigns, optimizing ad spend, or designing ad creative.
domain	marketing
author	oyi77
license	Apache-2.0
subdomain	marketing
tags	["ads","growth","marketing","paid","money"]
version	2.0.0

Paid Ads

When to Use

Trigger phrases:

• "paid ads"

• "Setting up paid ad campaigns"

• "Optimizing existing ad performance"

• "Designing ad creative and copy"

• Setting up paid ad campaigns

• Optimizing existing ad performance

• Designing ad creative and copy

• Implementing conversion tracking

When NOT to Use

• When the audience is too small to justify the effort
• For regulated industries without compliance review
• When the campaign budget does not support the channel

Overview

Paid Ads drives growth marketing with data-driven strategies across Meta, Google, and LinkedIn platforms.

Money-Making Overview

Run high-ROI paid ad campaigns that generate 3-5x ROAS within 30 days. Every $100 ad spend = $300-500 return when properly optimized. This skill covers the full paid media lifecycle — campaign structure, audience targeting, creative testing, budget management, and performance optimization — turning ad spend into predictable revenue.

Revenue Streams

Stream	Description	Monthly Income
Client Ad Management	Manage ad accounts for local businesses, e-com stores, SaaS companies — strategy, execution, reporting	$500–5K/month per client
Affiliate Ad Arbitrage	Send paid traffic to affiliate offers with high commissions; profit = commission - ad cost	$1–10K/month
DTC / E-com Ads	Run Meta/Google Shopping for direct-to-consumer brands with product catalog feeds	$2–10K/month
Agency / SaaS Upsell	Package paid ads into a broader growth retainer (ads + funnel + creative)	$5–20K/month
Lead Gen for Service Businesses	Google Local Services / LinkedIn lead gen for high-ticket services (legal, home services, B2B)	$1–5K/month per client

Platform-Specific Campaign Setup

Meta Ads Manager

Campaign Structure:

• Awareness (Reach, Brand Awareness) — cold audiences, prospecting
• Consideration (Traffic, Engagement, Video Views) — retargeting warm audiences
• Conversion (Sales, Leads) — bottom-funnel, highest intent

Ad Set Level:

• One interest/ lookalike per ad set — never mix audiences in the same set
• Budget: CBO (Campaign Budget Optimization) at $50–200+/day
• Bid strategy: Lowest cost with or without cost cap
• Placement: Advantage+ (let Meta optimize) or Manual (FB Feed + IG Feed + Reels only)

Ad Level:

• 3–5 creative variations per ad set
• Split-test: Image vs. Video, Single Image vs. Carousel
• Primary text: 40–80 characters with hook, benefit, CTA
• Headline: 27 characters max for News Feed

Google Ads

Search Campaigns:

• Exact match keywords for high-intent queries
• Phrase match for broad discovery
• Negative keyword list built before launch
• Ad groups: 1 theme per ad group with 5–10 tightly related keywords
• RSA (Responsive Search Ads): 15 headlines + 4 descriptions

Shopping Campaigns:

• Product groups segmented by product type, brand, item ID
• Optimize titles with top search terms
• Negative keywords at campaign level
• Standard Shopping + Performance Max for full coverage

Display / YouTube:

• In-market audiences + custom intent for prospecting
• Remarketing lists for existing site visitors
• Video campaigns with skippable in-stream for top-of-funnel

LinkedIn Sponsored Content

• Single Image Ads — best for lead gen, clear CTA
• Document Ads (PDF lead magnets) — highest conversion rates for B2B
• Video Ads — thought leadership, product demos
• Lead Gen Forms (native) — reduce friction, pre-filled profiles
• Targeting: Job title + industry + company size + seniority (start narrow, widen if CPA permits)

Audience Targeting Formulas

Lookalike Audiences

Source: 1,000+ customer emails / purchasers in 180 days
LAL 1% = closest match (narrowest, highest intent)
LAL 1-3% = sweet spot for scaling
LAL 3-10% = prospecting (wider reach, lower CVR)

• Refresh source audiences every 30 days
• Create separate LALs for purchasers, add-to-carts, content engagers

Retargeting Windows

Window	Audience	Bid Multiplier
0–7 days	Hot — cart abandoners, recent visitors	2x baseline
8–30 days	Warm — site engagers, video viewers	1.5x baseline
31–90 days	Cold-ish — past customers, email openers	1x baseline
91–180 days	Lapsed — re-engagement offers	0.7x baseline

Interest Stacking Rules

Rule 1: 3–5 interests max per ad set (beyond 5 the audience blurs)
Rule 2: Stack complementary interests (e.g., "Running" + "Marathon" + "Nike" = runner)
Rule 3: Exclude purchased audiences to avoid serving ads to existing customers
Rule 4: Use "AND" logic via narrow targeting in Meta (people MUST match multiple)
Rule 5: For prospecting, use broad targeting + well-written copy over tiny interest segments

Budget Allocation Rules

Starter Budget ($500–2K/month)

50% Prospecting (LAL 1-3% + interest stacks)
30% Retargeting (7–30 day window)
20% Creative testing (3 new concepts/week)

Scaling Budget ($5–20K+/month)

40% Prospecting scaling
25% Retargeting (0–7 day hot + 8–30 warm)
20% Lookalike expansion (1% → 3% → 5% → 10%)
10% New platform / format tests
5% Broad targeting discovery

Budget Pacing Rule

Daily spend cap = monthly budget / 30
If spend < 50% of cap by day 15 → increase bid or expand audience
If CPA > 2x target for 3 consecutive days → pause ad set
If ROAS > 5x → double budget (step up 25% every 48h)

Creative Testing Protocol

Weekly Creative Rotation

Week 1 — Launch 3–5 concepts (hook + visual variant)
Week 2 — Kill bottom 20%, double winners, add 3 new concepts
Week 3 — Refresh proven angles, test new formats (Carousel vs. Video vs. UGC)
Week 4 — Compile learnings, build next month's brief

Creative Taxonomy:

• [HOOK] — first 2 seconds rule (curiosity, problem, social proof, FOMO)
• [FORMAT] — UGC, Studio, Testimonial, Demo, Slideshow, Carousel
• [ANGLE] — Pain → Solution, Before/After, Comparison, ROI/Stats
• [CTA] — Shop Now, Learn More, Sign Up, Get Offer, Book Demo

Winning Creative Signals:

• CTR > 1% (Meta) / > 3% (Google Search)
• CPC decreasing over 7 days
• ROAS > 2x breakeven
• Frequency < 3 before saturation

Workflow

Phase 1 — Research & Strategy (Days 1–2)

1. Analyze target market, competitors, and existing audience data
2. Define campaign goals, channel selection, and messaging strategy
3. Set up conversion tracking (Meta Pixel, Google Tag, LinkedIn Insight)

Phase 2 — Structure & Create (Days 3–5)

4. Build campaign hierarchy per platform-specific setup above
5. Create 5–10 ad creative variants following the testing protocol
6. Write primary text + headlines for each variant

Phase 3 — Launch & Budget (Day 6)

7. Deploy campaigns with recommended budget allocation
8. Set up automated bidding rules (Meta CBO, Google Smart Bidding)
9. Configure conversion goals and attribution windows

Phase 4 — Optimize (Days 7–30)

10. Review performance every 48h — pause underperformers, fund winners
11. Refresh creative weekly — never let an ad run > 14 days unchanged
12. Expand audiences (new LALs, interests, placements) when CPA is stable

Phase 5 — Report (Weekly)

13. ROAS, CPA, CTR, CPM, frequency, impression share
14. Creative performance (which hook/format/angle won)
15. Budget spend vs. plan, next week's allocation forecast

Key Metrics

• Reach and impressions
• Click-through rate (CTR) — benchmark > 1% Meta, > 3% Google Search
• Conversion rate (CVR) — clicks to purchase / lead
• Cost per acquisition (CPA) — total spend / conversions
• Return on ad spend (ROAS) — revenue / ad spend
• Frequency — how many times one person saw the ad (keep < 3)
• Impression share — lost to budget vs. lost to rank

Best Practices

• Test one variable at a time — headlines, images, CTAs, placement, audience
• Master one channel before expanding (Meta → Google → LinkedIn)
• Never turn off retargeting — it is your highest ROAS channel
• Track full-funnel attribution (not just last-click)
• Kill losers fast (< 48h of underperformance) and double winners
• Refresh creative every 7–14 days to combat ad fatigue
• Use cost caps and bid floors to protect margin

Anti-Rationalization Table

Rationalization	Reality
"Good products sell themselves"	They do not. Marketing is how people discover your product.
"I will start marketing after launch"	Build audience before launch. Pre-launch momentum is critical.
"I can just boost a post"	Boosts waste budget. Use Ads Manager with proper objectives and tracking.
"More budget = more sales"	Scaling into a bad funnel multiplies losses. Fix funnel first.
"Running one ad long enough will work"	Ad fatigue sets in at 7–14 days. Rotate creative regularly.

Process

1. Prepare — Gather requirements, verify prerequisites, set up environment
2. Execute — Run paid ads workflow with configured parameters
3. Verify — Validate output meets requirements, document results

First Action in 60 Minutes

Run this script to set up a conversion tracking framework, create a test campaign structure, launch a $50/day test, and configure budget + bid management rules. It generates the API payloads for Meta Ads Manager, Google Ads, and LinkedIn — ready to paste into your ad account.

#!/usr/bin/env bash
# paid-ads-launch.sh — Launch a $50/day test campaign with tracking and rules
set -euo pipefail

ACCOUNT_NAME="${1:-My Business}"
DAILY_BUDGET="${2:-50}"
PLATFORM="${3:-meta}"   # meta, google, linkedin

echo "=== Paid Ads Launcher ==="
echo "Account: $ACCOUNT_NAME"
echo "Budget:  \$${DAILY_BUDGET}/day"
echo "Platform: $PLATFORM"

# ── 1. Conversion Tracking Setup (Meta Pixel / Google Tag / LinkedIn Insight) ──
cat <<TRACKING
Conversion Tracking — Install the following:

Meta:
  Pixel ID:         (create in Events Manager → Data Sources → Web)
  CAPI endpoint:    POST https://graph.facebook.com/v19.0/{pixel_id}/events
  Fields:           event_name, event_time, user_data (email, ip, client_user_agent)

Google Ads:
  Conversion ID:    (create in Tools → Conversions → Website → Add new)
  Google Tag:       gtag('config', 'AW-CONVERSION_ID')
  Event snippet:    gtag('event', 'purchase', { value: 49.99, currency: 'USD' })

LinkedIn:
  Insight Tag:      (create in Analytics → Insight Tag)
  Conversion:       (create in Account Assets → Conversions → Create)
  Event:            lead, signup, purchase, addToCart
TRACKING

# ── 2. Campaign Structure (Meta example) ──
cat <<STRUCTURE
Campaign Structure for $PLATFORM:

$(case "$PLATFORM" in
  meta)
    echo "Objective: SALES (Purchase)"
    echo "Buying Type: AUCTION"
    echo "Special Ad Category: NONE"
    echo ""
    echo "Ad Set 1 — Prospecting (50% of budget)"
    echo "  Budget:  \$((DAILY_BUDGET / 2))/day"
    echo "  Audience: LAL 1% purchasers (180d) + Interest: [relevant_interest_1] + [relevant_interest_2]"
    echo "  Placements: Advantage+ (default)"
    echo "  Optimization: Purchase (CBO enabled)"
    echo ""
    echo "Ad Set 2 — Retargeting (30% of budget)"
    echo "  Budget:  \$((DAILY_BUDGET * 30 / 100))/day"
    echo "  Audience: Website visitors last 30d"
    echo "  Placements: FB Feed + IG Feed only"
    echo "  Optimization: Purchase"
    echo ""
    echo "Ad Set 3 — Creative Test (20% of budget)"
    echo "  Budget:  \$((DAILY_BUDGET * 20 / 100))/day"
    echo "  Audience: Broad targeting (US, 25-55, all genders)"
    echo "  Placements: FB Feed + IG Feed + Reels"
    echo "  Optimization: Link Click (measure CTR to find winners)"
    ;;
  google)
    echo "Campaign Type: Search"
    echo "Network: Search Network (no Display)"
    echo "Bidding: Target CPA (\$30)"
    echo "Budget: \$${DAILY_BUDGET}/day"
    echo ""
    echo "Ad Group 1 — High Intent (60% of budget)"
    echo '  Keywords: [best product], [buy product], [product price]'
    echo "  Negatives: free, jobs, how to"
    echo "  RSA: 15 headlines, 4 descriptions"
    echo ""
    echo "Ad Group 2 — Research (40% of budget)"
    echo '  Keywords: [product vs competitor], [product reviews], [product alternatives]'
    echo "  Negatives: free, how to"
    echo "  RSA: benefit-focused headlines"
    ;;
  linkedin)
    echo "Campaign Type: Sponsored Content — Single Image"
    echo "Objective: Lead Generation"
    echo "Budget: \$${DAILY_BUDGET}/day"
    echo ""
    echo "Targeting:"
    echo "  Job Titles: [relevant_title_1], [relevant_title_2]"
    echo "  Industry: [target_industry]"
    echo "  Company Size: 51-200, 201-500, 501-1000"
    echo "  Seniority: Manager, Director, VP"
    echo ""
    echo "Ad Format: Single Image + Lead Gen Form"
    echo "Lead Form: Name, Email, Company, Job Title (pre-filled)"
    ;;
esac)
STRUCTURE


 <<

 
 
 
 
 
 
 
 
 
 

How to run:

chmod +x paid-ads-launch.sh
./paid-ads-launch.sh "My Business" 50 meta
# or
./paid-ads-launch.sh "My SaaS" 100 google

Output Format

## Campaign: [Campaign Name]

### Structure
[Platform] | [Objective] | [Daily Budget]
- Ad Set 1: [Audience] | [Budget %] | [Current Status]
- Ad Set 2: [Audience] | [Budget %] | [Current Status]

### Creative Performance
| Creative | Impressions | CTR | CPA | ROAS | Status |
|---|---|---|---|---|---|
| [Hook A / Format A] | 5,000 | 1.2% | $18 | 4.1x | Paused |
| [Hook B / Format B] | 8,000 | 2.3% | $12 | 6.2x | Scaling |
| [Hook C / Format C] | 3,000 | 0.5% | — | — | Under review |

### Key Metrics
- Spend: $[total]  |  Revenue: $[total]  |  ROAS: [X]x  |  CPA: $[X]
- CTR: [X]%  |  CVR: [X]%  |  Frequency: [X]  |  Impression Share: [X]%

### Budget Allocation
Prospecting: [X]%  |  Retargeting: [X]%  |  Creative Testing: [X]%

### Next Week Recommendations
1. [Action item — e.g. double budget on best ad set]
2. [Action item — e.g. launch 3 new UGC variations]
3. [Action item — e.g. expand LAL from 1% to 3%]

Verification

• All steps executed successfully
• Results validated against acceptance criteria
• Error handling tested with edge cases
• Documentation updated with findings