You know something is off with your GTM, but you can’t pinpoint it. Pipeline is soft. Deals stall. Marketing is busy but revenue isn’t moving. Everyone has a theory about what’s broken, and they’re all different.
I run these diagnostics for clients, and that description covers about 80% of the conversations that start them.
The pattern I see over and over
A company’s pipeline is weak. Leadership decides they need better marketing. They bring in an agency or hire new people. Activity goes up. Leads go up. Pipeline stays flat.
The problem wasn’t lead generation. It was something downstream. Poor lead qualification. Slow follow-up. Misalignment between what marketing promises and what sales actually says on calls. More leads just meant more leads falling into the same broken process.
This is why I start every engagement with a diagnostic. You have to examine the full revenue engine, from awareness through closed revenue, before you can design fixes that address root causes instead of symptoms.
According to research from Forrester, companies with tightly aligned sales and marketing operations achieve 24% faster revenue growth. But alignment requires shared understanding. That’s what a diagnostic creates.
What I assess (and what I typically find)
A comprehensive diagnostic covers six areas. Each one affects the others, which is why you have to look at them together.
Market and positioning:
- Is your target market specific enough to guide actual decisions?
- Does your positioning differentiate you from alternatives?
- Does your messaging speak to buyer problems, or does it just describe features?
- Do your actual customers match your stated ICP?
This is where I start because if the foundation is wrong, nothing downstream will work. I’d say about half the diagnostics I run uncover a meaningful gap between stated ICP and actual customer base. The company thinks they sell to mid-market SaaS, but their best customers are all in fintech or healthcare. That mismatch cascades into everything else.
Demand generation:
- Are you reaching enough of the right prospects?
- Which channels produce pipeline versus just activity?
- What does it cost you to generate a qualified opportunity?
- Do leads actually convert or just accumulate?
The most common finding here: companies measuring the wrong things. They track MQLs but can’t tell you which channel produces revenue. Activity metrics look healthy. Pipeline metrics don’t.
Pipeline mechanics:
- How do leads move through your funnel and where do they stall?
- What’s your conversion rate at each stage?
- Where is the single biggest drop-off point?
- How long do deals sit in each stage before they progress or die?
This is where I usually find the highest-value insight. If 80% of your pipeline leaks at one stage, that’s where to focus. I had a client losing most of their opportunities between demo and proposal. Turned out their demo was a feature walkthrough instead of a problem-solving conversation. One change to the demo structure improved that conversion by 40%.
Sales effectiveness:
- Are reps having the right conversations with the right stakeholders?
- Do they have the content and tools they need?
- What’s the win rate, and how does it vary by segment, deal size, or rep?
I always listen to recorded calls during a diagnostic. Always. The gap between how leadership describes the sales motion and how reps actually run calls is where the real issues live.
Technology and data:
- Does your tech stack support your process or create friction?
- Is data flowing correctly between systems?
- Can you actually measure what matters?
Misconfigured tools are more dangerous than missing tools. At least you know when you’re missing a tool. A CRM with bad data gives you false confidence.
Team and capabilities:
- Do you have the right people in the right roles?
- Are there skill gaps affecting execution?
- Is the org structure creating silos?
This one requires honesty. Sometimes the issue is structural, not strategic. A great demand gen plan won’t work if nobody on the team can execute it.
How I run a market and positioning assessment
I start by stress-testing the foundation.
First, I review how the company describes itself across every touchpoint. Website, sales decks, email sequences, ads. Is it consistent? In about two-thirds of the assessments I run, the answer is no. The website says one thing, the sales deck says another, and the SDR emails say something else entirely.
Then I look at the customer base. Who actually buys, and why? I talk to recent customers about why they chose this company. I talk to lost deals about why they didn’t. The gap between internal assumptions and buyer reality is where the most important insights hide.
A messaging drift analysis can quantify how far your positioning has drifted across channels. I use this as a starting point before digging deeper.
Diagnosing pipeline and conversion
Pipeline analysis produces the most actionable insights, in my experience.
Map your funnel stages and measure conversion between each one. Most companies have rough metrics here but lack precision. You need specifics: what percentage of MQLs become SALs? SALs to opportunities? Opportunities to closed-won?
Find the biggest drop-off point and focus there. Don’t spread effort evenly across the funnel when one stage accounts for most of the losses.
Then look at time in stage. Deals that stall usually die. If opportunities sit in “proposal sent” for three weeks, something is wrong. The proposal process is broken, the deals aren’t qualified, or follow-up is weak.
Finally, segment your analysis. Conversion rates often look fine in aggregate and terrible in specific segments. A blended view hides these differences. Break it down by deal size, industry, and source. You’ll find pockets where you win consistently and pockets where you almost never do.
Sales and marketing alignment
Misalignment between sales and marketing is one of the most common problems I find.
The first thing I do is compare marketing messaging to actual sales conversations. I sit in on calls or review recordings. Is sales delivering on what marketing promises? In most cases, the story changes completely once a rep gets involved. That inconsistency confuses buyers and extends sales cycles.
Then I examine the handoff. How are leads passed from marketing to sales? What context transfers with them? How fast do reps follow up? I’ve seen companies where the average response time to an inbound lead was four days. By then the buyer has already talked to two competitors.
The definitions matter too. Do marketing and sales agree on what makes a lead qualified? Without shared definitions, each team optimizes for different outcomes. Marketing celebrates MQL volume. Sales complains about lead quality. Both are right from their perspective, and that’s the problem.
Technology and process review
Your tech stack should support your process. In practice, it often constrains it.
I audit the tools: CRM, marketing automation, sales engagement, analytics. Are they configured correctly? Are teams actually using them? I regularly find companies paying for five or six tools where data doesn’t flow between any of them.
Map the data flows. Does lead data sync properly from marketing automation to CRM? Can you track a prospect from first touch through closed deal? Broken integrations create blind spots and manual work that nobody has time for.
Check reporting capabilities. If generating a simple pipeline report requires hours of spreadsheet work, your data infrastructure needs attention before anything else.
Look for process bottlenecks too. Sometimes the issue is execution friction, not strategy. A complicated approval process slows campaigns. A cumbersome CRM discourages data entry. Small frictions compound into big problems.
Turning findings into priorities
A diagnostic generates a lot of findings. The hard part is deciding what to do first.
I categorize everything by impact and effort. Some issues are high impact and relatively quick to fix. Others are high impact but require real investment. Start with the quick wins while planning the bigger moves.
Focus on root causes, not symptoms. Low conversion rates are a symptom. The root cause might be wrong ICP, weak positioning, or a skills gap on the sales team. Fix the root cause and the symptoms resolve.
Cap your priorities at three to five items. I’ve seen companies come out of a diagnostic with a 30-item action plan. Nothing on that list ever gets done. Three to five focused priorities, with clear ownership and timelines, will move faster than a comprehensive list that nobody can execute.
Sequence the work logically. Some fixes enable others. Fixing your ICP definition should come before redesigning demand gen campaigns. Clean data should come before advanced attribution modeling.
From diagnostic to action
The diagnostic only matters if it leads to change.
Share the results with stakeholders. Diagnostics surface uncomfortable truths. Don’t soften them. Build shared understanding of the problems before proposing solutions.
Pressure-test the recommendations. Will fixing this bottleneck actually improve outcomes? What assumptions are built in?
Assign clear ownership. Every priority needs someone accountable for progress. Without that, action plans stay on slides.
Set review checkpoints. Schedule follow-up assessments to measure whether the interventions worked. A diagnostic is the start of ongoing GTM optimization, not a one-time exercise.
The companies that grow efficiently are the ones that actually understand their own revenue engines. A diagnostic gives you that understanding so you can invest in fixes that work instead of guessing.