AI advertising campaign management
Google Ads, Meta and LinkedIn now run almost entirely on artificial intelligence. Smart Bidding, Advantage+, Performance Max: these tools only perform when they're set up, fed and governed correctly.
✓ Direct expert, no middleman · ✓ Measurable results · ✓ 20 years of experience
The problem
Automation without strategy isn't performance. It's accelerated spend.
AI optimizes on what you feed it. If your conversions are imprecise, algorithms spend without direction.
You let the algorithm pick audience, creative, placement and budget. No guardrails, no business priorities.
They cannibalize each other. AI captures low-value queries and bills you for traffic you'd have had organically.
AI platforms require creative volume. Without structured production, performance stalls in 4-6 weeks.
PMax and Advantage+ running with no audience signals. You pay for AI to explore on your dime.
Each platform claims 100% of the credit. Without incrementality testing, you no longer know what actually works.
The offer
A clear framework to leverage ad platform AI without being hostage to its biases.
Conversions, signals, structure, creatives, attribution.
With profitability targets, constraints and business guardrails.
Asset groups by intent, audience signals, exclusions, product feeds.
Volume, variants, hooks tailored to the algorithms.
Geo tests, holdouts, channel-specific attribution models.
Weekly optimization, testing, strategic reviews.
The process
Five steps to take back control of automation.
In-depth analysis of all ad accounts, all platforms and all active AI layers (Smart Bidding, PMax, etc.). Identification of areas where automation is performing and areas where it's drifting out of control.
Clear definition of what stays with AI, what stays manual, and what gets business guardrails. An explicit framework rather than improvised case-by-case decisions.
Setup of AI campaigns, refinement of conversion signals, production of algorithm-tailored creatives, and attribution model setup. Each element aligned with the business goals defined in the previous step.
Weekly campaign optimization based on real data, not on platform-reported metrics. Each adjustment is documented and insights put to use to inform the overall strategy.
Regular geo tests and control groups to validate the real impact of AI campaigns. You know exactly what share of the result is attributable to advertising and what would have happened organically.
Case study
A Quebec SMB operating in financial services noticed its prospects increasingly turn to ChatGPT to compare financial products before contacting an advisor. The goal: be present in these conversations ahead of competitors by deploying a structured ad campaign on ChatGPT.
The opportunity
Every major advertising platform has had its first-mover window. Google Ads in 2004: cost per click in cents. LinkedIn Ads in 2013: premium impressions at rates you'll never see again. Today, ChatGPT Ads is opening in Canada. The numbers below explain why this window won't stay open long.
ChatGPT Ads combines three conditions that rarely line up at the same time. A platform with 700M monthly active users. An ad model still under construction, meaning low bids and flexible rules. And a thin density of structured English-speaking advertisers in Canada. That combination never lasts more than twelve to eighteen months.
By 2027, ChatGPT Ads will be saturated at the level Google Ads was in 2010. Advertisers who started today will hold three permanent advantages. The learning data specific to their account. The reserved audience slots. And the in-house expertise. Those who wait will pay to catch up.
Testimonial
David has a rare ability. He can take a platform nobody understands yet and build a strategy a client can actually follow. I've seen few consultants this comfortable in the zones that shift in real time.
Free consultation
A conversation to assess your current automated campaigns and identify where to take back control.