AI PPC Management, Run as a Governed System
8 min read
Hunter is the paid-search operations agent KPI Creatives built because agency PPC keeps failing the same way: skipped routine, decisions made on noise, and reasoning that lives in one person's head. Hunter runs your Google and Microsoft Ads accounts on schedule — 53 specialized tools for monitoring, analysis, and account changes — under hard rules stored in a database, with a human approving every action that moves money and every decision written to a permanent log. In production on live client accounts since May 2026.
Most paid-search waste is not a talent problem. It is a discipline problem. The search-term review that slipped a month. The budget doubled on five lucky conversions. The account manager who left with three years of reasoning in their head. Hunter treats paid search the way infrastructure is treated: the routine runs on schedule because a scheduler runs it, scaling requires statistical evidence because a database rule demands it, and every decision is logged because the log is where the system's memory lives. The agent prepares decisions. You approve the ones that spend money. Judgment stays with people — discipline moves to the system.
In production since May 2026 · 53 tools · human-approved spend · every decision logged
What this includes
- 01
A Ranked Action Table Every Morning
Hunter opens every day by producing one table: every campaign and ad group, actual performance against target, a forecast built from conversion-rate fallbacks, and one verdict per row — scale, optimize, stop, or hold. Each verdict carries a data-sufficiency label that states how much evidence sits behind it. The account owner reviews prepared decisions instead of hunting through the Google Ads interface, and every action taken from the table is logged with the rule that produced it. This is the difference between managing an account and reacting to one.
- 02
Search-Term Hygiene That Explains Itself
Wasted spend in paid search hides in the search-term report, and most managers review it when they remember to. Hunter reviews it on schedule. Every proposed negative keyword arrives with a plain-language reason it does not fit your customer profile. Terms that have ever converted are protected by a historical guard — the system will not kill a query that has produced business, no matter how expensive it looks this week. Expensive-but-working queries get a different recommendation: move them to a dedicated exact-match ad group at a lower bid instead of negating them.
- 03
Quality Score Monitoring With a Repair Loop
Quality Score is the cheapest lever in paid search — it directly lowers the price you pay per click. Hunter tracks it per keyword, identifies which component is weak (expected click-through rate, ad relevance, or landing page), and drafts replacement ad variants targeted at the weak component. Every draft passes a voice check against your brand rules before a human ever reads it. Approved variants go into a structured test, and the win or loss is measured with a statistical significance test — not eyeballed.
- 04
Launches Drafted in Your Voice, Published Only After Approval
New campaigns are drafted from a versioned strategy document — keyword clusters, competitor intelligence, negative-keyword libraries, and landing page briefs stored per client. Ad copy is generated against a written voice constitution with a banned-phrase list, checked deterministically, and queued for approval. Nothing goes live on its own. Every launch is dry-run first, human-approved in Telegram second, published third.
- 05
Monitors That Never Take a Day Off
Hunter watches the account layer that humans check least: cost-per-click anomalies against your set bids, ad disapprovals, conversion-tracking breaks, budget pacing against a monthly plan, ad fatigue, and the share of spend going to experiments. Each monitor runs on a schedule and files findings into the same decision log as everything else. When a platform bills you at twice your maximum bid — which happens — Hunter is the one that notices, with the evidence attached.
- 06
A Governed Write Layer — Rules in a Database, Not in a Prompt
Every action that moves money passes a deterministic policy guard before it can execute: monthly spend caps, bounds on bid and budget changes, sanity bands on target-CPA changes, broad match and Performance Max off by default, and a data-sufficiency gate that blocks scaling decisions built on thin evidence. These rules live in a Postgres database, not in an AI prompt — which means no clever conversation can talk the system past them. A human approves every spend increase in Telegram. The agent proposes; the owner decides.
- 07
Two Ways to Run It: Managed by Us, or Built on Your Infrastructure
Most clients run Hunter as a managed service: your accounts connect to our system, our team operates it, you approve every money move and see every log entry. For companies that want to own the asset, we build a dedicated analog of Hunter on your infrastructure — your cloud, your database, your ad platform credentials, your policy rules — and hand it over with the same governance architecture and documentation. The managed path starts in days; the owned path is a build engagement. Either way, the discipline is identical: the fit is any business buying Google ads from about $1,000 a month in spend.
Why paid search needs a system, not a hero
Most paid-search management fails in a predictable way. The routine gets skipped — search-term reviews postponed, pacing checked when someone remembers, Quality Score looked at quarterly if at all. Decisions get made on noise — five cheap conversions look like a winner, the budget doubles, and the next month erases the quarter's margin. And nothing is written down — when the account manager changes, the reasoning behind every setting leaves with them.
Hunter inverts each failure. The routine runs on cron schedules and cannot be postponed. Scaling decisions pass a data-sufficiency ladder modeled on how disciplined acquisition teams actually work: roughly 30 conversions make a metric trustworthy, around 10 make it a coin flip, and below that threshold the system answers a scale request with the probability of being wrong instead of executing it. Every read, recommendation, and write lands in an append-only decision log — inputs, rule applied, outcome — so the account's entire reasoning history is queryable at any time.
What stays human is deliberate: strategy, positioning, budget ceilings, and every money move. Hunter prepares decisions with evidence attached; a person approves them in Telegram. Judgment stays with people. Discipline moves to the system. That division of labor is the entire point — and it is why the same playbook executes identically on the fourth account at 8am as on the first.
How it works
Strategy Sync
Your paid-search strategy becomes a versioned set of documents inside Hunter: keyword clusters ranked by opportunity, competitor intelligence pulled from ad transparency data, a negative-keyword library, landing page briefs, and a decisions log that preserves why each call was made. This is the context every subsequent action draws from — the agent operates your strategy, not a generic one.
Governed Launch
Campaigns are drafted from the strategy documents, voice-checked against your brand constitution, projected against your monthly spend cap, and queued as dry-runs. You approve each launch in Telegram. Campaigns go live paused-first or with conservative manual bids, with negatives and conversion goals verified by an account audit before spend starts.
Daily Operation
Two scheduled heartbeats run the account every day: the morning action table with ranked scale / optimize / stop / hold verdicts, plus the monitor suite — pacing, cost-per-click anomalies, disapprovals, tracking health, Quality Score, and search-term review. Findings arrive as prepared decisions, each labeled with the evidence behind it.
Evidence-Gated Optimization
Optimizations execute only at the rate the data supports. Negatives apply with historical guards. Bid and budget changes stay within policy bounds. Bidding strategy graduates from manual to automated only after the account crosses the conversion threshold that makes automated bidding reliable. The sufficiency ladder decides what the account has earned the right to do — not enthusiasm.
Monthly Decision Retro
Because every action is logged, Hunter can answer a question no agency answers honestly: which of last month's decisions were good? The retro replays the decision log against outcomes — what was recommended, what was approved, what it produced — and the findings adjust the thresholds for the next month. The system gets more calibrated with every cycle.
Who this is for
-
Real Estate & Development Companies
High-intent local searches, expensive clicks, and long sales cycles — exactly the conditions where undisciplined paid search burns budget fastest. Hunter runs geo-targeted search campaigns with the search-term hygiene and pacing discipline that $8-per-click markets demand.
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Construction & Trade Businesses
Your leads come from a handful of high-value queries surrounded by informational noise — grant seekers, students, do-it-yourselfers. Hunter's search-term review separates buyers from browsers and documents the reasoning behind every negative keyword it proposes.
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Wellness & Health Practices
Compliance-sensitive copy, scope-of-practice language rules, and patients who choose providers on trust. Hunter's voice constitution enforces your language rules deterministically on every ad variant — before a human reviewer sees the draft, and long before a patient does.
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Owners Who Have Been Burned by Agency PPC
If you have paid a monthly retainer for a report you did not read, watched an account manager change without a handover, or wondered whether anyone actually reviewed your search terms last month — the decision log answers that question permanently. Every action, every reason, queryable.
- Paid search fails on skipped routine and overconfident decisions — Hunter removes both by running the routine on schedule and gating every scaling decision behind a data-sufficiency ladder.
- Rules live in a database, not in an AI prompt: spend caps, bid bounds, and the scale gate are enforced deterministically, and no one — human or model — can be talked past them.
- Every action that moves money is approved by a human in Telegram; the agent prepares decisions with evidence attached, and judgment stays with people.
- The decision log makes the account auditable for life: which decisions were made, on what evidence, by what rule, and what they produced — a question agency PPC cannot answer.
Typical approach vs.
system approach
| Typical PPC management | Hunter by KPI Creatives | |
|---|---|---|
| Search-term review | When the account manager gets to it — often monthly, sometimes never | On schedule, every cycle, with a written reason for every proposed negative |
| Scaling decisions | Five good conversions and enthusiasm — budget doubles on noise | Blocked below the evidence threshold; the system reports the error probability instead |
| Converting search terms | Negated in bulk cleanups because they look expensive | Protected by a historical guard; moved to exact match at a lower bid instead |
| Institutional memory | Lives in the account manager's head; leaves when they do | Append-only decision log — every action, rule, and outcome queryable forever |
| Ad copy | Whatever passes the client's quick glance | Checked against a written voice constitution before a human ever reviews it |
| Who approves spend | The agency, inside a budget you review quarterly | You, per action, in Telegram — with the evidence attached to every request |
Frequently asked
Hunter is a paid-search operations agent built and run by KPI Creatives. It is software — 53 specialized tools covering monitoring, analysis, and gated account changes across Google Ads and Microsoft Advertising — governed by hard rules stored in a database and a human approval gate in front of every action that moves money. It has been running production client accounts since May 2026. You can run it two ways: managed, where our team operates it for you, or owned, where we build a dedicated analog on your own infrastructure and hand it over.
No. Every action that increases spend — budget changes, bid raises, new launches — requires explicit human approval in Telegram, and that requirement is enforced in the database, not by convention. Autonomy is limited to safe, reversible operations like pausing an underperformer or flagging an anomaly. Deterministic policy rules cap monthly spend, bound every change, and block scaling decisions that lack statistical support.
Google Ads and Microsoft Advertising (Bing) natively, including campaign creation, search-term management, bidding, and conversion tracking on both. Meta reporting and pause controls are integrated for accounts that run social alongside search. The operating discipline — policy guard, approval gate, decision log — applies identically on every platform.
Hunter fits any business buying Google ads from about $1,000 per month in media spend and scales up from there. That starting point is deliberate: it is the range where a traditional agency retainer eats a disproportionate share of the budget, and where the system's statistical gates matter most — Hunter knows exactly what a smaller account has enough data to decide, and refuses what it does not. There is no upper bound in the architecture; the same governance runs a $1,000 account and a $50,000 account identically.
Both. The standard engagement is managed: your ad accounts connect to Hunter, the KPI Creatives team operates it, and you approve every money move in Telegram with full access to the decision log. If you want to own the system outright, we build a dedicated analog on your infrastructure — your cloud account, your database, your credentials, your policy rules — with the same governance architecture, and hand it over documented. Managed starts in days; an owned build is scoped on the discovery call.
Drafts are generated from your strategy documents and checked against a written voice constitution — a banned-phrase list and language rules specific to your brand — before any human sees them. A KPI Creatives operator reviews every ad, and you approve every launch. Nothing publishes itself. For compliance-sensitive industries like wellness, the voice rules encode your scope-of-practice language requirements directly.
Every read, recommendation, and change is written to an append-only decision log with the inputs, the rule applied, and the outcome. You can ask for the full history of any campaign at any time, and the monthly retro reports which decisions were made, what they produced, and what the system adjusted as a result. The account's reasoning is never trapped in one person's memory.
Explore more
Webflow development
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→ Knowledge GraphsLocal SEO & Google Business Profile
The organic layer that compounds alongside paid search — entity work, review acquisition, and local visibility that lowers your blended acquisition cost over time.
→ Content SystemsCreative content service
The trust layer behind the click — video and written content systems that warm the audience paid search converts, in the same brand voice Hunter enforces in your ads.
→ Paid search that runs
as a system.
We assess fit, diagnose constraints, and map which systems matter most for your business. No proposals, no pressure — a working session.