Meet the intent. Own the next step.
Google Ads, Microsoft Ads, and ChatGPT Ads management built around the intent, signals, and outcomes that matter to your business.
Google
Bing
ChatGPT
DuckDuckGo
Yahoo
PerplexityI’m Bradley Zeller. I build, manage, and improve Google Ads campaigns around what your business actually needs: qualified leads, profitable sales, and a clear reason for where the next dollar goes.
That means getting into the account—search terms, campaign structure, creative, bidding, conversion tracking, and the page after the click. Search, Shopping, Performance Max, and Demand Gen each need a job. I decide where they fit, manage the work, and explain what I’m changing and why.
When you hire me, strategy and execution stay with me.
Talk with Bradley ↗I manage the connection between what someone searches, what you promise, and what your business gets back. When that connection breaks, more budget won’t fix it.
“Emergency plumber near me” and “how to become a plumber” share a word. They do not share a customer. I inspect the actual searches before I trust the keyword report.
The decision: Which searches deserve budget — and which need to be excluded?
I use the ad to make the offer clear and filter for fit. The headline, proof, and call to action should answer the search — without promising something your business can’t deliver.
The decision: Which message brings the right customers, not just more clicks?
I review the page someone actually lands on. The offer should match the ad, the proof should answer the hesitation, and the form or call should work just as well on a phone.
The decision: Is the page helping a qualified visitor act?
A submission, a qualified lead, and a closed sale are different events. I check the definitions and connect downstream outcomes where your systems support it. For stores, I review purchase value and the economics behind it.
The decision: Which reliable outcome should guide bidding and reporting?
I compare the next opportunity with your acquisition target, margin, and capacity. Strong averages don’t give every campaign a pass. The next increase needs its own case.
The decision: Add budget, improve the weak point, or wait for better evidence?
Your business model changes the answer. It should change the account, too.
I choose the mix around what you sell, how people buy, and what the data can support. Search, Performance Max, Shopping, and Demand Gen each need a reason to be in the account.
Someone is looking for an answer, a provider, or a product. I connect that search to the right message and next step — then check whether the traffic is worth buying again.
Queries, match types, negatives, ad tests, bids, and the landing-page experience.
Qualified acquisition cost and sales value, with brand demand visible separately.
PMax can pursue conversions across Google’s channels. I define the outcomes, supply useful inputs, and inspect what it delivers. Automation needs a business brief and ongoing scrutiny.
Conversion goals, asset groups, creative, audience signals, budgets, and available exclusions. For retailers, product feeds and product selection matter too.
Lead quality or purchase value, customer mix, and channel and product performance where reporting allows. A strong blended return needs a closer look.
Shopping ads use product data to help people compare what you sell. I treat the feed, the product page, and the economics of each product as part of the campaign.
Merchant Center feed quality, titles, images, availability, product groups, bids, and budgets. I choose Standard Shopping or PMax around the control and reach the account needs.
Product-level acquisition costs and returns alongside margin, stock, and customer value. The bestselling item isn’t always the best place for more spend.
I use visual creative and audience strategy to introduce the offer or bring interested people back. The work starts with something worth showing and a clear next step.
Images, video, offers, audience strategy, channel choices, and conversion goals. I test which combinations move people beyond the first interaction.
Conversion quality and acquisition cost, with a clear view of prospecting versus re-engagement. Where feasible, I test whether the campaign adds demand.
Shopping ads can run through Standard Shopping or Performance Max. I plan that overlap deliberately, so the same product doesn’t get two competing strategies.
Someone looking for you, someone looking for a solution, and someone looking for another provider arrive with different expectations. I keep those differences visible in the strategy and reporting.
I make the offer and next step easy to find, assess the competitive pressure, and test how much paid coverage you need. Strong brand results shouldn’t hide weak performance elsewhere.
I look at paid and organic coverage, acquisition cost, and evidence of additional business. A brand conversion isn’t automatically a new customer.
These searches describe a problem, category, or service without naming a brand. I group the intent, test the offer, and filter out searches that don’t fit the business.
I compare qualified acquisition cost and customer value by intent. Generic keywords create an opportunity to win new customers; they don’t prove the visitor is new.
I keep competitor-name searches separate from generic category demand. The offer and landing page need to explain why you’re a relevant alternative. This is a measured test, not a default budget line.
I judge qualified leads, closed sales, and acquisition cost separately. If the economics don’t hold, competitor traffic doesn’t earn more budget.
These are intent and reporting groups within search. I separate campaigns where different budgets, targets, or messaging justify it.
A good-looking dashboard isn’t enough. Change the situation to see what changes my answer.
I’d trace the gap between the search, the lead, and the sales conversation. Check qualification, routing, response time, and what the account is being rewarded for finding.
Before I scale: Evidence that the leads are becoming valuable customers.
If qualified acquisition cost and customer value hold up, I’d test a measured increase. I’d monitor whether the additional spend keeps earning its place — and whether sales or operations can keep up.
Before I scale: A clear target, a controlled increase, and enough time to judge the result.
A longer sales cycle can make recent traffic look worse than it is. I’d compare groups with enough time to convert, verify the tracking, and separate a real decline from outcomes that haven’t arrived yet.
Before I scale: Reliable data from a mature enough conversion window.
Illustrative situations. The actual decision depends on your account and business data.
I look at the economics, campaign history, tracking, and customer journey. You get a clear view of what’s working, what’s broken, and what I’d tackle first.
I put the priorities into the account: query controls, structure, ads, conversion inputs, and budget. Each test answers a question. Each change has a reason.
I’m hands-on in the accounts. We discuss what changed, what the data can tell us, and where I’m putting the next dollar. You hear it directly from me.
Each channel needs a job. Google and Microsoft search campaigns start with demand expressed in a query. ChatGPT Ads need their own approach to context, offer, creative, and available reporting. I evaluate the opportunity on its own terms before it earns more of your budget.
Here’s the toolkit I use to investigate the account, challenge an explanation, and make the next move clearer.
Talk with BradleyI use Claude and ChatGPT extensively to investigate performance, develop ideas, and go deeper into the data. Windsor.ai MCP connects ad-account reporting to that analysis, so the work starts with the numbers behind your campaigns.
A working partner for deeper analysis: explore patterns across campaigns, challenge an explanation for a performance change, and turn detailed findings into a clear plan.
A hands-on tool for account analysis, keyword research, competitive messaging, and ad-copy development. I use it to explore opportunities and pressure-test ideas against your business context.
I use Windsor.ai’s MCP connection to bring ad-account data across connected platforms into Claude and ChatGPT. That lets me ask deeper questions across accounts, compare performance, and investigate what’s driving a change.
Campaign reporting and performance signals
Bring connected reporting data into the conversation
Explore patterns and build a clearer explanation
I review the findings, validate them against the account data, and decide what to do next.
Reveals competitor bidding history, ad creative evolution, and keyword focus.
Allows us to benchmark spend strategies and uncover exploitable gaps.
Historically used for large-scale rule automation and bid adjustments.
We’ve taken the best parts of Optmyzr’s automation logic and built custom in-house tools for budget pacing, performance monitoring, and ROI forecasting — all optimized for speed and visibility.
Tell me where you are, what’s not working, and where you want to go. We’ll figure out the right next move.
