Paid Ads

Exclusions (Critical)

Always exclude:

• Existing paying customers (unless running upsell campaigns)
• Recent converters (7-14 day exclusion window)
• Bounced visitors (under 10 seconds on site)
• Irrelevant page visitors (careers, support, legal)
• Competitor employees (LinkedIn)

Performance Optimization

Optimization Decision Tree

Is CPA above target?
├── CTR is low (< 1% search, < 0.5% social)
│   ├── Creative fatigue? → Refresh creative
│   ├── Audience mismatch? → Refine targeting
│   └── Ad relevance low? → Improve message match
├── CTR is good, conversion rate low
│   ├── Landing page issue? → Audit page (speed, copy, CTA)
│   ├── Offer mismatch? → Align ad promise with page offer
│   └── Audience too broad? → Narrow targeting
└── CTR and CVR are good, CPA still high
    ├── CPM too high? → Try different placements/platforms
    ├── Competition driving up bids? → Adjust bid strategy
    └── Attribution issue? → Check conversion tracking

Key Metrics by Objective

Creative Fatigue Detection

Weekly Optimization Routine

Attribution and Measurement

Attribution Reality Check

Meta attribution windows (as of September 2026): Meta stopped returning the 7-day view and 28-day view windows on January 12, 2026. The remaining windows are 1-day click, 7-day click, 28-day click (Insights API), 1-day engaged view, and 1-day view (Meta for Developers, Oct 2025). Historical reports that used 7- or 28-day view will not match current numbers — note the break in any trend line.

Practical Attribution Approach

1. Use UTM parameters consistently — Tag every campaign, ad, and link
2. Track in GA4 as source of truth — Compare platform data to GA4
3. Calculate blended CAC — Total marketing spend / Total new customers
4. Use incrementality testing — Hold-out tests to measure true lift
5. Compare platform data vs. CRM data — The gap is your attribution inflation

UTM Standards

utm_source: google | meta | linkedin | twitter | tiktok | reddit
utm_medium: cpc | paid-social | display | video | sponsored
utm_campaign: [campaign-name-lowercase-hyphenated]
utm_content: [ad-variant-identifier]
utm_term: [keyword] (search only)

Pre-Launch Checklist

Tracking

• Pixel/tag installed and firing correctly
• Conversion events defined and tested with real test conversion
• UTM parameters added to all ad destination URLs
• GA4 goals/events configured to match conversion events
• Attribution window set appropriately and documented (e.g., Meta: 7-day click + 1-day view; 7-/28-day view windows no longer exist)

Landing Page

• Page loads under 3 seconds on mobile
• Page is mobile-responsive
• Headline matches the ad message
• CTA is above the fold on mobile
• Form works and submits to CRM/email system
• Thank you page/event fires conversion tracking

Campaign Setup

• Budget set correctly (daily or lifetime)
• Bid strategy selected and configured
• Audience targeting reviewed (not too broad or narrow)
• Negative keywords added (Google Search)
• Exclusions configured (existing customers, competitors)
• Ad schedule set (if time-specific targeting needed)
• Geographic targeting verified
• Device targeting reviewed

Creative

• 3+ creative variants per ad group/set
• All creative meets platform specifications
• Copy validated against platform policies
• Landing page URL correct for each ad

Best Practices

1. Tracking first, creative second — Never launch without verified conversion tracking. A campaign without attribution is guesswork.

2. Start narrow, expand gradually — Begin with your highest-intent, most-defined audience. Expand after proving the funnel works.

3. One change at a time — Changing audience, creative, and bid strategy simultaneously makes it impossible to know what worked.

4. Give algorithms time — Do not judge campaign performance before the learning phase completes (typically 50 conversions or 7 days).

5. Creative is the biggest lever — On most platforms, creative quality matters more than targeting precision. Test creative aggressively.

6. Match ad to landing page — The #1 conversion killer is mismatched expectations between ad and landing page.

7. Budget concentration beats distribution — $3,000 on one proven platform outperforms $500 spread across six platforms.

8. Build retargeting from day one — Install pixels and build audiences even before you spend on retargeting.

9. Compare platform data to reality — Platform-reported conversions are always higher than actual. Use CRM and GA4 as the source of truth.

10. Document everything — Every campaign change, test result, and learning should be recorded. Institutional knowledge prevents repeating mistakes.

Integration Points

• Ad Creative — Use for writing ad copy, generating headlines, and creating creative variations. Paid Ads handles the campaign strategy; Ad Creative handles the copy.
• Landing Page Generator — Use for building the landing pages ads drive traffic to.
• Campaign Analytics — Use for measuring campaign performance, attribution analysis, and ROI calculation.
• Marketing Context — Use as foundation for audience targeting and messaging alignment.
• Marketing Psychology — Apply psychological principles to improve ad creative and landing page conversion.
• Copywriting — Use for optimizing landing page copy to improve post-click conversion rates.

Troubleshooting

Success Criteria

• CPA within target range for campaign objective (B2B SaaS: $50-200 for qualified leads)
• ROAS above 3x for revenue-focused campaigns
• CTR above platform benchmarks: 2-5% search, 0.5-2% social
• Conversion tracking verified with test conversion before launch
• Budget allocation: 70% proven / 20% expansion / 10% testing (at scale)
• All campaigns have proper UTM tagging and GA4 attribution configured
• Weekly optimization routine completed with documented changes

Scope & Limitations

In Scope: Campaign strategy, platform selection, audience targeting, budget allocation, bid strategies, retargeting, performance optimization, attribution, pre-launch checklists.

Out of Scope: Ad copy writing (use ad-creative), landing page design (use landing-page-generator), creative design/production, marketing automation, CRM configuration.

Limitations: Budget minimums and CPC benchmarks are directional estimates. Actual costs vary by industry, geography, and competition. Platform-reported metrics are typically 20-50% inflated versus CRM truth.

Python Automation Tools

1. Ad Copy Scorer (scripts/ad_copy_scorer.py)

Scores ad copy against platform specs, compliance rules, and conversion best practices.

python scripts/ad_copy_scorer.py --headline "Cut churn by 30%" --description "See how 1200 SaaS teams reduced churn" --platform google
python scripts/ad_copy_scorer.py --file ads.json --json

2. CPC / CPA / ROAS Calculator (scripts/cpc_calculator.py)

Calculates key advertising metrics from campaign data with industry benchmarks.

python scripts/cpc_calculator.py --spend 5000 --clicks 1200 --conversions 45 --revenue 12000 --platform meta
python scripts/cpc_calculator.py --file campaign.json --json

3. Audience Sizer (scripts/audience_sizer.py)

Estimates target audience size and recommends budget based on platform and targeting criteria.

python scripts/audience_sizer.py --platform linkedin --targeting "CMOs at SaaS companies 50-500 employees"
python scripts/audience_sizer.py --file targeting.json --json