Revenue based tracking
Calls, forms, and bookings tracked properly, with offline results fed back so the platforms optimize for customers instead of clicks.
Google and Meta now run most ad decisions through their own AI, from who sees an ad to what it costs. Those systems are only as good as the data and guardrails they are given. We feed them the right signals, watch where the money goes, and report on booked work rather than clicks.
AI advertising means using automated, machine learning driven campaign types, such as Google's Performance Max and AI Max for Search and Meta's Advantage+ campaigns, to decide targeting, bids, and placements. The platforms optimize toward whatever goal you give them. If that goal is a form fill that never turns into a customer, the AI gets very good at finding people who fill in forms.
Our job is to give the algorithms an accurate picture of what a real customer is worth, set limits on where they can spend, and keep testing the creative they work with.
Calls, forms, and bookings tracked properly, with offline results fed back so the platforms optimize for customers instead of clicks.
Asset groups, audience signals, brand exclusions, and negative keywords configured so automation finds new customers rather than buying your own brand name.
Broad targeting where it works, with creative and offers built for the people most likely to book, and spend capped while each test proves itself.
AI helps us produce more headline, image, and video variations, and real results decide which survive. People decide what is on brand.
Google now shows ads inside AI Overviews and AI Mode. We structure campaigns and landing pages so you are eligible where it makes sense for your category.
Search terms, placements, and spend checked every week by a person. Automation is fast, and it is also fast at wasting money when nobody is looking.
Nothing is scaled until we can see which ads produce customers. This step alone often changes what is worth running.
Campaigns organized around what you sell and where, with the guardrails automation needs.
Budget moves to automated campaign types gradually, with a clear comparison against what was running before.
Cost per booked job and revenue by campaign, in plain English, every month.
The platforms encourage handing over control. We use their automation where it beats manual work and keep the limits that protect your budget.
Automated campaigns learn from volume. With a modest budget we narrow the scope so the algorithm learns from your best customers, not from noise.
Ad accounts are created in your name and you hold the keys. If we part ways, the history and the learning stay with you.
Sometimes. It works best with reliable conversion tracking and enough budget to learn. Without those, a well built search campaign usually performs better. The audit tells you which describes you.
It can draft them quickly, and we use it for variations. A person still chooses what runs, checks every claim, and makes sure the offer is one you can honor.
They can. Google places ads in AI Overviews and AI Mode, and eligibility depends on how campaigns and landing pages are set up. We build with that in mind where it suits your category.
Enough to learn, and not a dollar more until the tracking proves what is working. We give you a starting number after the audit and adjust it on results.
Search, social, and retargeting measured on booked work rather than impressions.
Read more →Fast, clear pages with one job each, so the clicks you pay for convert.
Read more →Alerts when spend or results break pattern, before the monthly report.
Read more →Tell us what you sell and where you think the marketing is falling down. A senior member of the pod will come back with an honest read on what the audit would likely find, what it costs, and whether it is worth doing at all. If it is not, we will say so.
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