A B2B SaaS company in the $8–12M ARR range brought me in to “fix pipeline.” The brief was execution-focused: scale Google and LinkedIn, stand up an outbound SDR motion, optimize landing pages and funnel conversion. Within the first weeks of discovery, I told them they didn’t have an execution problem. They had a strategy problem.
That distinction, and the discipline to stop scaling until you fix it, is the difference between an executive advisory engagement and an agency engagement. It’s also the difference between growth that compounds and growth that plateaus.
This post is how I think about integrating executive advisory with growth marketing strategy in practice. It draws on two recent engagements I led as an independent consultant, the framework I use to clean up the economics, and the 90-day plan I actually run when starting a new client.
1. The Strategy-Execution Gap
Most marketing teams operate with a budget, a lead goal, and a directive to “go grow.” That works when the strategy is sound. When it isn’t, more execution just scales the wrong thing.
The $8–12M ARR engagement is a clean example.
What they asked for:
- Scale Google and LinkedIn acquisition
- Launch outbound SDR motion
- Optimize landing pages and funnel conversion
What was actually broken:
- ICP was too broad, spanning multiple segments with different buying triggers
- Messaging was product-led instead of tied to a clear, urgent business problem
- Sales narrative was inconsistent across reps
- Marketing was generating leads, just not the right ones
They were executing well enough. They were just executing on the wrong target.
What we changed. We paused most scaling efforts and reset the foundation:
- Narrowed the ICP to a single high-performing segment with roughly 2x the historical close rate
- Rebuilt positioning around a specific, measurable outcome for that segment
- Standardized the narrative across marketing, SDR, and sales
- Relaunched paid and outbound with tighter targeting and aligned messaging
Results over 90–120 days:
- CAC down ~35–45%
- Pipeline-to-close rate roughly doubled
- Sales cycle shortened ~20–30%
- Top-of-funnel volume down ~25%, but pipeline quality materially higher
Scaling execution on top of weak strategy doesn’t grow the business. It scales inefficiency. Once ICP and positioning were fixed, the same channels started working.
2. Why Advisory, Not Agency
A separate engagement makes the contrast sharper.
A growth-stage, IT-focused B2B SaaS company brought me in after cycling through two agencies. Both had delivered “on scope.” Campaigns were live. CPLs looked reasonable. Reporting was clean. Pipeline quality and conversion were still underperforming, and the team’s instinct was to find a better agency.
Where the agency model hit its limits. Both agencies were operating inside the brief they were given:
- Target audiences were accepted as fixed
- Messaging was optimized, not challenged
- Funnel metrics were improved locally, not systemically
No one was incentivized, or positioned, to question whether the underlying go-to-market approach made sense.
What I did instead. I stepped outside the execution layer and worked directly with the CEO and Head of Sales to reframe the problem.
- Challenged the ICP and segmentation. Their highest-ACV customers came from a segment they were barely targeting. Most spend was going to a lower-value, higher-friction segment.
- Rewrote the core narrative. Shifted from feature comparison to a clear “why now” tied to a costly operational bottleneck. That changed how both ads and sales conversations were structured.
- Redesigned the funnel, not just the campaigns. Introduced a qualification layer and restructured the path to demo so sales only engaged with higher-intent accounts.
- Aligned marketing and sales incentives. Moved the focus from lead volume to pipeline quality and close rate, which changed decision-making across teams.
None of these changes sat cleanly inside a channel or deliverable. They required challenging executive assumptions, changing what “good” looked like across teams, and trading volume for quality, which initially looks like underperformance until pipeline quality catches up.
Outcome over 1–2 quarters:
- Pipeline volume decreased slightly; pipeline quality improved materially
- Close rates increased ~50–70%, depending on segment
- CAC improved ~30%+ as spend shifted toward higher-value accounts
- Sales reported significantly less time on low-probability deals
An agency optimizes within a system. Advisory work changes the system.
“Rob is a combination of master practitioner, seasoned marketing executive, and an incredibly kind human. He is immersed in every step of his craft daily, from creating the demand gen strategies to executing the copy, optimizing the campaigns, managing the spend, and reporting the results. As a result, he single-handedly drove our B2C revenue at Certn.”
Yvonne Chow, Head of Marketing | B2B SaaS Product Marketing & GTM. LinkedIn recommendation, November 2021, worked with Rob at Certn.
3. Decision-Grade Economics
A pattern I see in nearly every advisory engagement: companies have plenty of data, but very little of it is decision-grade.
A framework I use in my practice:
Decision-grade economics is the level of economic clarity and accuracy required to confidently make and defend a business decision. It goes beyond directional metrics and averages, focusing instead on segmented, reality-based unit economics that reflect how the business actually operates.
It’s the level of detail that lets you answer:
- Which customers are truly profitable, and which are not?
- What is our real CAC by segment, channel, and motion?
- How long is payback under actual sales-cycle conditions?
- Where does incremental spend still produce acceptable returns?
Getting there typically requires:
- Segmentation by ICP, channel, and deal type
- Alignment between marketing, sales, and finance data
- Inclusion of full costs, not just media or surface-level metrics
- Enough precision to act, even if not perfectly modeled
The key distinction: directional economics help you understand the business. Decision-grade economics let you change it with confidence.
I pressure-test these models against external benchmarks. Bessemer Venture Partners’ State of the Cloud for CAC payback and growth-vs-efficiency tradeoffs, David Skok’s SaaS metrics work at ForEntrepreneurs for LTV:CAC and funnel math, and the RevOps Co-op for how real teams structure funnel ownership and pipeline definitions. But I don’t use external benchmarks as answers. I use them to calibrate decisions. The goal is decision-grade economics inside the company, not benchmarking for its own sake.
4. The 90-Day Plan I Actually Run
This is how I structure engagements in practice, not a theoretical model.
- Days 0–30. Diagnose. Cut through the noise and define 3–5 decision-grade KPIs by auditing ICP, funnel, and data quality.
- Days 30–60. Reset. Reset ICP and positioning. Align marketing and sales around a single narrative and a single operating model.
- Days 60–90. Relaunch. Relaunch execution with tighter targeting, reallocated spend, and measurement tied directly to pipeline and CAC.
What didn’t go to plan, in one case. We narrowed the ICP early and pipeline dropped faster than expected, which created internal pressure. We had to temporarily reopen a secondary segment while rebuilding demand in the core ICP. It pushed timelines out a few weeks, but CAC and close rates improved once it stabilized.
What I do differently now. I phase the ICP shift, not flip it. I keep a secondary segment live to protect pipeline while the core builds, and I reset expectations upfront so a short-term dip doesn’t derail the strategy.
What This Means for Leadership Teams
The strongest growth engines I’ve worked on aren’t the ones with the best campaigns. They’re the ones where executive strategy, marketing execution, and sales motion are running on the same operating system. That alignment rarely comes from another agency. It comes from someone in the room who can challenge the brief, and the bandwidth to act on the answer.
If you’re considering this kind of engagement, the test is simple: are you trying to execute better, or decide better? If it’s the second, you don’t need more hands. You need a different conversation.
Further Reading
- Bessemer Venture Partners, State of the Cloud
- David Skok, SaaS Metrics 2.0 (ForEntrepreneurs)
- RevOps Co-op
- Kyle Poyar, Growth Unhinged
- OpenView, SaaS Benchmarks