Senior Google Ads Specialist
Managed Google Ads with AI Precision.
16 years of paid ads experience.
My own proprietary AI engine called A.C.T.
My approach combines my expertise with A.C.T.'s AI-powered recommendations, providing a systematic and explainable approach to Google Ads management.
About Me
I've managed Google Ads accounts since 2009.
Over 16 years I've worked across automotive (Lexus, Toyota), luxury travel, B2B (Virgin Media O2), ecommerce, property, and professional services.
I've managed budgets from £5k to £400k per month and optimized 200+ accounts.
Over the past few years I noticed something: almost every Google Ads manager works the same way.
Random tweaks. No systematic approach. No audit trails. No real AI leverage.
So I spent 18 months building my own Google Ads AI engine called A.C.T (Ads Control Tower).
My approach: data-driven, explainable, guardrailed recommendations.
- →I build, A.C.T recommends, I review and approve or disapprove.
- →Every change is logged with reasoning, evidence, expected impact and tracked impact.
- →No random tweaks. No reckless automation.
My Work History
16 years across agencies, in-house, and my own consultancy.
My Skills & Platforms
Google Ads Specialist with technical expertise across the full paid ads stack.
• Google Shopping — since 2009
• Performance Max — since 2021
• Google Display — since 2009
• Meta Ads — since 2014
• LinkedIn Ads — since 2015
• TikTok, Twitter/X
• Taboola, Outbrain
• 41 optimisation rules
• 1,492 active recommendations
• Built with Python, Flask, DuckDB
• Google Ads API integration
• Claude, ChatGPT, Gemini, Grok
• Google Ads Scripts
• Prompt engineering
• £50M+ total ad spend
• 100+ accounts optimised
• 16 years experience
• Multi-channel allocation
• Pacing, forecasting, reporting
• Google Tag Manager
• Google Search Console
• Google Merchant Centre
• Triple Whale, Hyros
• Meta Pixel & Reporting
• SEMrush
• Pardot
• Klaviyo, MailChimp
• InfusionSoft
• BigCommerce
• WordPress
• ClickFunnels
• Leadpages
• DataFeedWatch, Shoptimised
• Luxury Travel
• B2B
• E-commerce
• Property
• Professional Services
• Coaching & Education
• Portuguese (fluent)
• Spanish (basic)
The Problem
Most Google Ads management looks the same.
If you're spending £5k–£50k/month on Google Ads and wondering why results feel opaque, you're not alone.
Random tweaks without a system
Changes made on gut feel.
No hypothesis.
No accountability.
No change log, no audit trail
Nobody can tell you what changed last month.
Why it changed.
Or what the outcome was.
All you get are tables full of metrics.
AI is used as a buzzword, not a tool
“AI-powered” on the pitch.
Generic automation in practice.
The Difference I Bring
16 years of senior Google Ads operator judgment + my proprietary AI engine = your competitive edge.
Most managers either work manually (slow, inconsistent) or use generic automation (reckless, unexplainable).
I combine senior-level Google Ads operator experience with A.C.T's AI-powered insights.
You get systematic decision-making, explainable recommendations, and full accountability.
A.C.T doesn't replace my judgment, strategy and results — it enhances them.
I see what A.C.T recommends, add context, prioritize, and you or I approve what executes.
The changes are then tracked to monitor the outcome.
What A.C.T Does
Four AI-powered modules. All features live and operational.
A.C.T is my proprietary Google Ads AI engine.
It's not a product for sale — it's my internal competitive advantage.
- Anomaly detection (spend spikes, CTR drops, conversion anomalies)
- Quality Score diagnostics and improvement recommendations
- Impression share analysis and recovery strategies
- Search term mining and negative keyword suggestions
- Campaign structure and account hygiene audits
- Automatic rollback on KPI degradation (≥15% ROAS/CVR drop)
- Budget pacing alerts and spend spike detection
- Feed issue detection for Shopping campaigns
- Tracking break detection and alerts
- Post-change monitoring with outcome validation
- Structured experiment design and rollout
- A/B test setup with clear success criteria
- Statistical significance validation
- Scale/iterate/rollback decisions based on results
- Prevents “random busywork” — every change is a documented test
- Budget, bid, campaign status, keyword, ad, and Shopping optimizations
- Constitution safety framework (magnitude limits, cooldown periods, data sufficiency)
- Risk-tiered changes (low/medium/high with appropriate review)
- Human-in-the-loop approval — A.C.T recommends, I decide
- Full change preview before execution
Why I'm Different
Three things no other Google Ads manager can offer.
Expand each section to see exactly what separates this approach from the industry standard.
- 41 optimisation rules
- 5 campaign types covered
- Daily performance scan
- 1,492 live recommendations
- ≥15% ROAS drop triggers rollback
- Spend spike detection
- Feed issue alerts
- Tracking break detection
- Plain-English summary
- Every change logged
- Expected vs actual outcomes
- Next month's priorities
- →Automotive, luxury travel, B2B, ecommerce
- →£5k–£400k/month budgets managed
- →Maximum 4 clients — I manage every account personally
- →Nothing delegated. No account managers between us.
- →£50M+ in total ad spend managed
- →41 optimisation rules across 5 campaign types
- →1,492 active recommendations right now
- →Safety guardrails — magnitude limits and cooldowns
- →Automatic rollback if KPIs degrade
- →Built with Python, Flask, DuckDB + Google Ads API
- →Every recommendation includes why and expected impact
- →Every change logged with evidence and outcome
- →No blind automation — I review before anything executes
- →Post-change monitoring validates every decision
- →Plain-English summaries — no tables full of metrics
| The Comparison | ❌ Typical Manager | ✅ Christopher + A.C.T |
|---|---|---|
| How decisions are made | Gut feel and guesswork | 41 rules, data-driven triggers |
| Change logging | Nothing documented | Full audit trail, every change logged |
| AI usage | Buzzword on the pitch deck | Proprietary engine built from scratch |
| When things go wrong | Manual detection, slow response | Auto-rollback on KPI degradation |
| Reporting | Tables full of metrics | Plain-English summaries + reasoning |
| Account attention | Spread across 30+ accounts | Maximum 4 clients. Senior-only. |
| Safety guardrails | None — reckless automation possible | Magnitude limits, cooldowns, data checks |
FAQ
Common questions.
£5k–£100k/month ad spend.
You need enough budget for the data to be meaningful and for A.C.T's insights to have impact.
Social ads, SEO, creative production, landing page design.
Google Ads only.
I'm a specialist, not a generalist.
At an agency, your account is managed by a junior exec across 30+ other accounts.
With me, you get 16 years of senior experience, maximum 4 clients, and a proprietary AI engine built specifically for this.
No account managers, no handoffs, no diluted attention.
No.
A.C.T is my internal tool.
It's my competitive advantage, not a product for sale.
You get access through working with me.
Yes.
I demo it on the fit call.
You'll see the dashboard, recommendations, change log, and reporting live.
You have final say.
A.C.T recommends, you decide.
If you reject a recommendation, I'll explain the reasoning and we'll discuss alternatives.
No blind automation.
A.C.T's Radar module monitors every change made and automatically rolls back anything that causes KPI degradation.
On top of that, I review performance daily.
If something goes wrong, I know about it fast and I fix it fast — with a full audit trail of what happened and why.
Both.
Most clients come with an existing account.
The first 2 weeks are an audit — I find what's broken, what's wasted, and what's working.
We fix the foundation before touching spend.
Starting from scratch follows the same process, just without the baggage.
Yes.
Read access to start — for the audit.
Then standard admin access once we agree to work together.
I use the Google Ads API to connect A.C.T directly to your account.
Your credentials stay yours.
Yes.
I work as freelancer (direct), partner (collaborative), or white-label (behind the scenes).
Flexible models depending on your setup.
2 weeks.
Account audit, tracking review, structure fixes, strategy alignment, then we're live.
We fix the foundation before pushing spend.
Monthly plain-English report: what changed, why, and what the outcome was.
Weekly Slack or email updates on anything notable.
You always have visibility into A.C.T's recommendation log — every change is documented with reasoning and before/after data.
Account cleanup and structure fixes: 2–4 weeks.
Performance improvements: 4–8 weeks minimum — we need statistical significance.
This isn't magic.
It's rigorous testing and optimisation.
3 months.
The first month is audit and foundation.
Months 2 and 3 is where performance improvement happens.
Google Ads needs time and data to show results — anyone promising faster than that is either lucky or lying.
Let's Talk
Let's Discuss Your Paid Ads
Whether you're an agency looking for a partner or an in-house team needing senior oversight, let's talk.
Message me directly on WhatsApp
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+44 7999 500 184