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Industry desk

B2B SaaS marketing that creates pipeline — not MQLs sales throws back.

Pipeline, not MQLs that sales throws back.

SaaS growth is a SQL and payback problem. We run LinkedIn, search, content, named-account programs, and GEO so buyers who brief ChatGPT still find you — and sales gets accounts they will work.

  • P&L desk
  • Reply in one business day
  • 30-min working session
SQL pipelineLinkedInSEO + GEO

The scoreboard

SQL

the only lead definition that matters

USA metros we work

San FranciscoAustinNew YorkBostonChicago

How this desk thinks

Performance marketing for B2B SaaS

B2B SaaS marketing is not a webinar funnel dressed up as demand gen. It is LinkedIn, search, and content aimed at accounts sales will actually work — with an SQL definition they signed, not a marketing-qualified vanity count.

Long cycles and buying committees punish last-click theater. We run SaaS lead generation as pipeline: named accounts, category SEO, GEO so ChatGPT cites you, and attribution that matches the board packet.

Related: lead generation, paid search, and performance marketing.

Fit

Who this SaaS desk is for

Sales-led SaaS

ACV that can support a desk. LinkedIn ads B2B plus search, with CRM stages sales trust — not a demo form that dumps into a black hole.

PLG with a sales assist

Product-qualified signals in the CRM. We do not treat every signup as a SQL. Expansion and upgrade motions get their own campaigns.

Category challengers

Incumbents own the head terms and the AI answers. SEO, GEO, and comparison content so you show up when a buyer briefs ChatGPT.

The leak

What breaks in this category

  • MQL volume that never becomes pipeline
  • Long cycles and buying committees
  • Category terms owned by incumbents and AI answers
  • PLG vs sales-led motion confusion

The desk

What we run

  • LinkedIn + search with SQL definitions sales signed
  • Named-account plays for the accounts sales will actually work
  • Content and GEO for category queries
  • Attribution that matches the board packet

What you get

What this engagement actually delivers

  • SQL and pipeline definitions sales signed before we spend
  • LinkedIn and search on one demand-gen P&L
  • Named-account coverage for the list sales will work
  • SEO and GEO so category queries cite you

The fork

The fork that decides the P&L

MQL theater

  • Demo form volume as the KPI
  • LinkedIn spend with no SQL definition
  • Content that never ranks or converts
  • Attribution sales cannot use in a QBR

How this desk runs

  • SQL and opportunity as the scoreboard
  • Named accounts plus high-intent Search
  • Category pages built to convert and to be cited
  • Reporting that matches the board packet

Engagement

How an engagement starts

01

Define the unit

What a qualified enquiry is, which jobs or tickets sales will actually run, and the number that has to move. If marketing and sales disagree, we do not buy traffic.

02

Rebuild the path

Tracking, landing pages, CRM routing, and the first kill list. Ads do not launch into a homepage that was never built to convert.

03

Launch what can move now

Paid search and the channels that can ring the phone this month. Organic, reviews, and GEO compound while the calendar fills.

04

Pace to the scoreboard

Weekly reallocation. Scale when cost per booked job, SQL, or contribution holds. Throttle when you are at capacity.

FAQ

Questions from this industry

Do you work Series A or only enterprise?

If ACV and spend can support a desk, yes. We will not run LinkedIn theater on a $4k/month budget.

PLG companies?

Yes — with product-qualified signals in the CRM, not a generic demo form.

How do you define a SaaS lead?

With sales. Title, company size, use case, and stage. MQLs that AE will not touch are not SaaS lead generation — they are a reporting trick.

LinkedIn or Google for B2B SaaS?

Usually both, with different jobs. LinkedIn for account quality, Search for high-intent capture. We do not romanticize one platform.

Also on the floor

Other industries

Next step

Ready to brief B2B SaaS?

Tell us ACV, motion, and the SQL definition. We will map LinkedIn, search, and GEO to pipeline — and what we would cut.