PPC Marketing

PPC Management Services That Build Profitable Pipeline, Not Just Clicks

Paid search should generate revenue. If your program is optimized for impressions and click-through rate but not for cost per pipeline dollar, you are funding a dashboard. Cost per pipeline dollar is the number that decides whether the channel belongs in your growth model at all: how much ad spend does it take to produce one dollar of qualified revenue opportunity? Every other metric — CPC, CTR, impression share — is a proxy, useful as an input and useless as a goal. Almost nobody manages to that number, because computing it means reconciling ad spend against closed revenue across four systems that were never designed to agree. We do it every week on our own pipeline, which is the only reason we are willing to be measured on it.

We can hold paid search to that number because we compute it on ourselves

The hard part of cost per pipeline dollar is not the arithmetic. It is that the spend lives in an ad platform, the click lives in analytics, the lead lives in a CRM, and the closed revenue lives in a deal record that nobody joins back to the keyword. Facet built that reconciliation for its own reporting — spend to click to contact to pipeline to closed revenue, traceable per contact — and runs it as a loop under human command. It is the same plumbing we would install on yours, and it is why our reporting can survive the second question when a board asks it.

The second thing we bring from our own operation is the test discipline, and it did not come from advertising. It comes from running agents against our own systems — where a loop has to state what good output looks like before it is allowed to produce any — and where a change with no stated predicted outcome is indistinguishable from a regression. Every change is written down as a prediction before it ships and read against the result afterwards. Applied to a paid account, that is exactly the difference between management and spend custody.

Agents carry the passes that make iteration affordable. Search-term mining, negative-keyword sweeps, pacing checks and cross-campaign overlap detection are high-volume, mechanically checkable, and almost always fine — which is why they get skipped when a human owns them, and why weekly beats quarterly once they are automated.
We name the failure modes. A model asked to "improve this account" will call a winner on forty conversions, prune a keyword that was carrying assisted conversions, and write confident ad copy for a product feature that does not exist. All three are real, and all three are why a person holds the approval on every spend change.
Humans stay in command. Agents surface, rank and propose. A Facet strategist owns the hypothesis, the budget and every change that touches a live campaign, and agent-drafted copy clears the same review as copy a person wrote.
We are not our own best paid-search case study, and we will say so. Facet's own demand is predominantly an inbound pipeline, not a bought one. That is a real limit on what we can claim here — and it is also why we are willing to tell you paid is the wrong channel for you, which an agency whose only product is ad management structurally cannot.

Why most paid search disappoints operators

Campaigns get built once, set to "optimize," and left to run. The platform's automated bidding optimizes for its own definition of a conversion, not yours. Match-type bleed accumulates and eats budget. Reporting shows volume and cost, and never whether any of it turned into revenue.

PPC management that does not iterate is not management — it is spend custody.

The waste is usually invisible rather than dramatic. Our writeup on avoiding paid search cannibalization describes one version of it precisely: multiple campaigns in the same account bidding on overlapping terms, so the advertiser bids against themselves and pays more for clicks they would have won cheaply. Every campaign-level metric looks healthy the entire time it is happening. That is the category of defect this service exists to find, and it is why the checking has to be continuous rather than quarterly.

What the loop actually does

Every test cycle has four steps — hypothesize → run → measure → apply — and the passes below are carried by agents so the cycle can run weekly instead of when someone has an afternoon.

Mine the search terms against what actually closed. Every query that triggered an ad, matched against which ones produced pipeline and which produced clicks that went nowhere. This is the highest-value repetitive work in the account and it is pure volume — thousands of rows, a clear pass-fail test, and no judgment required until the list is ranked.
Detect the account bidding against itself. Cross-campaign keyword overlap, duplicate ad groups and match-type collisions, found by comparison rather than by inspection. Nobody catches this by looking at a dashboard, because nothing on the dashboard is red.
Watch pacing daily rather than at month end. Overspend and underspend both compound quietly, and the correction is cheap on day three and expensive on day twenty-five.
Reconcile spend to pipeline continuously. Cost per qualified lead and cost per pipeline dollar recomputed as deals move, not assembled by hand for a monthly report — so the trend is visible in week three rather than discovered in a quarterly review.
Keep the test log. Every change, its stated prediction, the measured outcome and the decision that followed, recorded automatically. The log is the asset: it is what stops the program re-running an experiment it already failed eighteen months ago.

What a person still decides

Everything above is throughput. The decisions that set the ceiling on this channel are all human, and they are the ones worth your strategist's hours.

What a qualified lead is worth to you. Every target in the account descends from that number, and only your margin, sales capacity and close rate produce it. Get it wrong and a perfectly optimized account optimizes toward the wrong target.
Which hypothesis is worth a cycle. There are always more tests than traffic to run them on. Choosing which lever gets the next statistically valid window is a strategic call, and running two at once destroys the reading.
When to stop a test. Agents will declare a winner early if allowed to, because an early answer looks like a good answer. A person holds that line, and it is the single most common way a paid program fools itself.
What the ads say, and what you are willing to promise. Offer, positioning and claim are approved by people, before anything is served to a stranger in your market.
Whether paid belongs in the mix at all. If the arithmetic below says it does not, the right decision is to spend the money elsewhere — and that decision is yours with our honest read in front of you.

What the math can look like

We will not fabricate client results — invented numbers are exactly what inflates expectations and erodes trust. The framework is the useful part, and it runs on your own figures.

(Illustrative — not a guarantee or a client result.) Suppose your average deal is $8,000 and your lead-to-close rate is 20%. You need five qualified leads per customer. At a $1,200 target cost of acquisition, you have $240 to spend acquiring each qualified lead. A program producing leads at $180 compounds; at $400 it destroys margin, regardless of how good the impression volume looks.

The question we help you answer: what is your actual cost per pipeline dollar, and is it getting tighter or looser? That single trend decides whether paid search belongs in your growth model — and most accounts have never produced it, because the data lives in four systems that do not join.

How could AI agents run your paid search? Book the 45-minute PPC audit. Bring your account access and your average deal size. You leave with a ranked list of the passes an agent loop could take over, your actual cost per pipeline dollar computed against your own CRM rather than against platform conversions, and a written recommendation — including "your economics do not support paid search at your current close rate, and you should spend this budget on the funnel instead" when that is what the numbers say.

What our PPC management services include

Account structure and keyword architecture

Campaign and ad group hierarchy aligned to buyer intent, keyword lists built around genuine purchase signals rather than high-volume noise, and negative keyword lists that stop match-type bleed from consuming budget. Existing accounts get audited before anything is rebuilt.

Ad copy and creative testing

Responsive search ads with structured experiments rather than random rotation, informed by the language your buyers use when they are close to a decision. Every variant is a logged data point that feeds the next cycle.

Bid strategy and budget management

Bid strategy configured to your conversion goals rather than platform defaults, with weekly pacing reviews and every incremental experiment documented with a hypothesis, an outcome and a decision.

Conversion tracking and attribution

Conversion action setup and audit, so the right events are measured and attributed correctly — and the join from click to CRM record to closed revenue that makes cost per pipeline dollar computable at all. This is the part most accounts are missing, and it is the part everything else depends on.

Ongoing management and reporting

A monthly review in plain language rather than a platform export, the full test log, and a prioritized action list for the next cycle tied to your cost-per-pipeline-dollar goal. Quarterly strategic review of targeting, offers and program scope.

Who this is for

Marketing leaders who need to defend paid spend to a board. You get a documented test log and a cost-per-pipeline-dollar trend rather than a ROAS dashboard that nobody in the room believes.

Operators running Google Ads without confidence in the return. The arithmetic above is how we structure the conversation, because that is where the decision actually gets made.

Founders who see that the channel rewards iteration velocity. If your competitors refresh campaigns quarterly, a weekly test cycle is a structural advantage — not because you outspend them, but because you out-iterate them. That edge is available now and does not require a bigger budget to claim.

Facet has operated as a boutique digital systems integrator since 2014 and was named a CIOReview Top 10 Digital Transformation Services Company in 2021, with a team of 40 across 9 timezones and 6 continents and a 500+ specialist network. Projects run from $6,000 upward.

Where paid search sits in the rest of the system

Paid running in isolation from your site, analytics, CRM and content hits a ceiling fast, and the two channels next door argue the other halves of the same case.

Inbound marketing — the owned side of the same coin, and an honest counterweight to this page. Paid position is rented: anyone can outbid you tomorrow. A ranked library is not for sale. Most businesses should run both, and the inbound page makes the case for when paid is the wrong place for the next dollar.
Conversion rate optimization — paid search buys the visit; CRO decides what fraction of those visits become pipeline. A 20% conversion improvement and a 20% cost-per-click reduction are worth the same, and one of them is usually far easier to get.
SEO and GEO — paid keyword data is the best available evidence for which organic terms are worth pursuing, because it is the only place you see what converts before you commit a quarter to ranking for it.
AI Managed Services — the run layer, when you want the loops owned continuously rather than project by project.
Agentic Operating System — the same test-and-measure discipline applied across the business rather than to one channel. Paid search is a common first proof, because the feedback arrives in days and the money is already being spent.

The auction refunds discipline

Here is what makes paid search structurally different from every other line in your marketing budget. The price you pay for a position is set by how carelessly the other bidders are bidding — an auction is a market in your competitors' attention, and most of them are not paying any. Their broad match bleed, their untested creative, their conversion tracking that fires on a thank-you page nobody reaches: all of it is priced into what you pay.

That means a disciplined program does not merely waste less. It buys the same position for less, funded by a field that is not iterating. It is the only channel you run where getting better lowers the cost of the ground you already hold, and the advantage is claimable this quarter rather than after a year of accumulation — you need a test cycle and a number worth optimizing toward, both of which exist by the end of the audit.

How could AI agents run your paid search? Book the 45-minute PPC audit — no deck, no pitch. You leave with a ranked list of the passes an agent loop could absorb, your real cost per pipeline dollar computed from your own CRM, and a written recommendation you keep and can act on with anyone, including your current agency. If the honest answer is that your margin and close rate do not support the channel, we will tell you to stop spending — which costs us the engagement, and is the reason the other answer is worth something.

FAQ

What do PPC management services typically cost?

There are two separate costs: the ad spend paid to Google or Microsoft, and the management fee paid to whoever runs the program. Management fees range from small flat fees on low-touch automated platforms to 10–20% of ad spend or a fixed retainer for full-service programs. As an illustrative frame, a mid-market B2B account running $5,000–$20,000/month in spend typically sees $1,500–$5,000/month in fees depending on complexity. We do not publish a rate card, because the right program depends on your goals and the state of your account — which is what the audit establishes. Facet's project range starts at $6,000.

What is the difference between managed PPC and running Google Ads yourself?

Google Ads is self-serve; anyone can launch a campaign in an hour. The difference is what happens after launch. Self-managed accounts reliably accumulate keyword bleed, untested creative, and conversion tracking that does not connect to revenue — and automated bidding amplifies all three, because it optimizes confidently toward whatever you told it a conversion was. Managed programs apply structured experimentation, disciplined pruning and accountability to a cost target that traces to closed deals.

How long before paid search generates qualified leads?

Paid moves faster than organic, but "generating leads" and "generating qualified leads at a defensible cost" are different thresholds. The first 30–60 days of a new or restructured program are a calibration period — conversion data accumulates, negative lists expand, bid strategies stabilize. An illustrative frame: a well-structured B2B program often needs 60–90 days to reach a stable cost per lead that reflects real performance. We set that expectation during the audit; there are no overnight guarantees.

Can Facet run paid alongside our existing web and SEO work?

Yes, and it is usually where the compounding value sits. Paid keyword data reveals which terms convert, which feeds organic prioritization directly. Landing pages built for paid benefit from conversion testing. Attribution across both channels is what makes cost per pipeline dollar comparable between them. Facet's background spans web development, analytics and marketing automation, so we can work across those layers rather than managing paid as an isolated silo — though we will run it standalone if that is what you need.

What does the agentic part actually change?

The cadence. Agents absorb the search-term mining, overlap detection, pacing checks and reconciliation — the work that makes a weekly test cycle affordable instead of a quarterly one. Your strategist keeps the hypotheses, the budget and the stop conditions. The visible change is that findings arrive while they are still cheap to act on.