Fixed-fee ad management · Mid-market B2B

The machine finds the pattern. Someone still has to decide what it means.

We run Google, Microsoft, LinkedIn and OpenAI ad programs with AI doing the volume work and twenty-three years of search judgment deciding what ships. One fixed monthly fee. Measured in your CRM.

Q1 media plan · [Client]

Model draft, 6 minutes · Final plan, 2 days

The model proposed

What ships

Budget: 70% Search, 30% Performance Max

40 / 20 / 40 with LinkedIn. Half this buyer’s journey happens before anyone searches.

Goal: maximize conversions, target CPA $140

Bid to opportunity value. The $140 leads are students and vendors.

Audience: expand to in-market segments, +22% reach

Build from closed-won in the CRM. 300 accounts that look like customers, not 3 million.

Negatives: 212 terms from last quarter’s waste

Accepted. This is the work the machine does better than we do.

Creative: rotate 15 generated headlines

Three. Each answers the objection sales hears on the first call.

Geography: nationwide

Four regions where sales can take a meeting this quarter. Expand when they can.

6 proposals · 1 accepted · 5 reshaped

the plan a 23-year search veteran would actually run

23
years in enterprise search

[$XXM]
managed spend

0
percent-of-spend contracts

4
ad platforms, one program

Case study · [Industry] · ACV [$XXK]

[Client] stopped paying for form fills and started paying for opportunities.

[Two or three sentences on the situation. The platform’s recommendations were optimizing to the cheapest lead. Sales couldn’t use them. What changed was the question the account was asked to answer.]

[+XX%]
Sales-qualified leads

[−XX%]
Wasted spend

[$X.XM]
Influenced pipeline

What the machine recommended

What we did

What the machine recommended

What we did

Optimize to “Submit lead form” (volume)

Imported CRM stages. Bid to SQL and opportunity value.

Broad match + Performance Max, “apply all”

Kept broad on two intent clusters. Walled PMax off from brand.

14 AI-generated headlines, auto-rotated

Kept three. Rewrote the rest against the sales call notes.

Raise budget 40% (projected +38% conversions)

Held budget 60 days until SQL rate proved out. Then raised it.

[X] months · [N] recommendations reviewed · [N] accepted as-is

Programs and fees

Three fixed-fee programs, priced by scope.

A percent-of-spend fee rewards a bigger budget. A fixed fee rewards a better one. Every program includes conversion-tracking repair, weekly optimization and a written monthly pipeline report.

Search · one account

Managed

$1,750 / month

$1,750 one-time setup

One Google Ads account with Microsoft running alongside it, one lead funnel, media up to $10,000 a month.

  • Google and Microsoft search
  • Tracking audit and fix
  • Weekly optimization
  • Dashboard and monthly written report
  • Quarterly check-in call

Up to three platforms

Connected

most common

$3,000 / month

$3,000 one-time setup

A sales-led motion, a CRM worth connecting, media up to $30,000 a month across platforms.

  • Everything in Managed
  • Any three of Google, Microsoft, LinkedIn and ChatGPT
  • CRM offline conversion imports and value bidding
  • Landing page reviews
  • Monthly call with sales in the room

All four platforms · up to three accounts

Embedded

$6,000 / month

$6,000 one-time setup

Several business units, regions or brands, media up to $75,000 a month.

  • Everything in Connected
  • Up to three accounts or business units
  • Biweekly working calls
  • Quarterly executive review
  • Same-business-day response

Month-to-month, 30 days’ notice. Setup is billed with the first month and waived on a six-month prepay. Media above a program’s ceiling for two months running moves you up a program. Not sure which fits? The strategy call ends with a written recommendation either way.

SEO and GEO, as an add-on to any program

The same search data, working on both sides of the results page.

Paid search tells you which terms convert before SEO spends a quarter finding out. We use the account’s search-term data to prioritize organic work, pull paid spend off terms you already own, and track where your company shows up when buyers ask ChatGPT, Gemini and Google’s AI results instead of searching.

Technical and on-page audit

Prioritized by paid conversion data, not by crawl volume.

Keyword and content roadmap

Mapped to pipeline stages, not search volume.

AI search visibility

Which prompts surface you, which surface competitors, and why.

Reporting

Paid and organic in one view. Fixed add-on: [$X,XXX] / month.

How an engagement runs

Fix measurement first. Then let the machine spend.

Weeks 1–2

Audit and tracking

Conversion actions, GA4 key events, tag health, CRM stages. Nothing gets bid on until the numbers are trustworthy.

Weeks 3–4

Rebuild

Structure, search-term tiers, negatives, landing-page alignment and ad copy grounded in what already converts.

Months 2–3

Bid to pipeline

Offline imports and value rules so the platforms optimize to SQLs and opportunities, not whoever fills a form.

Ongoing

Scale with guardrails

Budget follows lead quality by campaign. Monthly review with sales, quarterly with leadership.

Who this is for

B2B companies where a lead is the start of a sales cycle, not the end of one.

Fit

Mid-market B2B software, services and industrial. ACV above [$XXK]. A CRM you’ll let us connect to. Monthly media of [$XXK] or more.

Not fit

E-commerce, local lead gen, anyone who wants a dashboard of clicks, or a budget that has to grow every month to keep the agency interested.

“[A two- or three-sentence quote from a CMO or marketing director about what changed: the kind of leads, the conversation with sales, the thing they stopped worrying about.]”

[Name], [Title], [Company]

Google Partner

[Microsoft Advertising Partner]

[LinkedIn Marketing Partner]

Start with a 30-minute strategy call.

You’ll leave with a written read on your account and a recommendation. If we’re not the right fit, we’ll say so.