---
title: Paid Ads
category: product
entity_type: skill
price: $15
canonical: https://forgehouse.ai/skills/paid-ads/
lang: en
hreflang_alt: https://forgehouse.ai/tr/skiller/paid-ads/
last_updated: 2026-06-20
---

# Paid Ads

> A performance-marketing partner for Google, Meta, LinkedIn, X and TikTok, from account structure to the negative-ROAS ad sets reports hide.

An expert performance-marketing partner for paid campaigns across Google Ads, Meta, LinkedIn, X, and TikTok. It guides platform selection, account structure, ad copy, audience targeting, creative, bidding, retargeting, and optimization, with a hard focus on real ROAS rather than inflated platform reports. Built-in attribution skepticism keeps you honest about what's actually working.

## Use cases
- Choosing the right platform for your goal and budget
- Structuring an ad account with clean naming and budget allocation
- Writing ad copy with PAS, BAB, and social-proof frameworks
- Building targeting, lookalike, and retargeting audiences
- Diagnosing high CPA, low CTR, or high CPM
- Setting up conversion tracking and bid strategy progression

## Benefits
- Protects budget by spotting negative-ROAS ad sets that group-level reports hide
- Prevents the most expensive mistakes: launching without tracking, premature smart bidding
- Cross-checks inflated platform attribution against blended CAC for honest numbers
- Spends test vs. proven budget deliberately so you learn without bleeding money

## What’s included
- Platform selection guide for Google, Meta, LinkedIn, X, and TikTok
- Account structure and naming conventions with budget allocation framework
- Ad copy frameworks (PAS, BAB, social-proof lead) plus headline and CTA formulas
- Funnel-based retargeting windows, frequency caps, and exclusion lists
- Weekly and monthly review checklists tied to objective-specific metrics
- Top-5 field gotchas (attribution window mismatch, tracking breakage, premature smart bidding, display leakage, auto-applied recommendations)

## Who it’s for
For performance marketers and growth teams running paid campaigns who want efficient acquisition and refuse to be fooled by inflated platform dashboards.

## How it runs
Platform attribution flatters itself, so nothing scales here before GA4 cross-checks the numbers. The same brief-to-scaling sequence runs on every ad platform, with budget increases capped at 30 percent steps.
1. Locks the campaign context before touching any platform: objective, target CPA or ROAS, budget, the offer, the landing page and what pixel or conversion data already exists.
2. Selects the platform by intent fit: Google Search to capture existing demand, Meta for visual demand generation, LinkedIn for B2B title and company targeting, then picks the matching campaign type within it.
3. Builds the account structure with a consistent naming convention (platform, objective, audience, offer, date) and splits budget 70 to 80 percent into proven campaigns, 20 to 30 percent into tests with success criteria defined before launch.
4. Writes the copy from fixed frameworks (problem-agitate-solve, before-after-bridge, social proof lead) and layers targeting per platform: keywords with negative lists, custom and lookalike audiences, customer exclusions.
5. Runs the weekly optimization loop: spend pacing, CPA and ROAS against target, top and bottom ads, frequency for fatigue risk, then pulls the matching lever for whichever metric is off (landing page, targeting, creative angle, bid strategy).
6. Verifies attribution before scaling: platform-reported conversions are cross-checked against GA4 and blended CAC because platform attribution flatters itself, and budget increases stay at 20 to 30 percent steps with learning pauses in between.

## FAQ
### I only run Meta ads, is a multi-platform skill wasted on me?
No. The platform guide goes deep on each channel individually, so you'd use the Meta-specific structure, audience, and creative guidance plus the shared frameworks: copy formulas, retargeting windows, frequency caps, and review checklists all apply to a single-platform account.

### How does it keep ROAS numbers honest?
It treats platform dashboards as claims, not truth: attribution is cross-checked against blended CAC, and group-level reports get broken down to surface negative-ROAS ad sets hiding inside averages. The top field gotchas: attribution window mismatch, tracking breakage, premature smart bidding, are checked explicitly.

### Does it connect to my ad account and make changes automatically?
No. It's strategy, structure, and diagnosis guidance, you apply the changes in the platform yourself. It also won't conjure performance without budget; it makes test versus proven spend deliberate, not free.

## Price
$15, one-time, no subscription. VAT included.

Related guide: [AI Google Ads and Meta Ads management](https://forgehouse.ai/guides/ai-google-ads-management/)