Part 1: Senior CMO Playbook — Claude for Marketing Leaders

Step 1 — Start here

What is your situation?

Different stages, different problems, different leverage. Pick your company stage — you'll be routed to the goals and workflows that actually apply to you.

Stage A

Pre-PMF · Sub-$3M ARR

Founder-led sales. No real team. You are doing it all — or about to hire your first marketer.

Stage B

$3M–$10M · First CMO

Just hired (or are) the first marketing leader. Sales-marketing alignment is broken. Pipeline is lumpy.

Stage C

$10M–$50M · Growth stage

Team is 5–15 people. Channels are working but efficiency is poor. Do more with the same budget.

Stage D

$50M+ · Scale-up

Multiple functions, specialists in place. The problem is coordination, measurement, and strategic coherence.

Goal · Generate first repeatable pipeline

I don't know who my real ICP is. Sales has won 8 deals but they're all different.

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Diagnose first — look for these signals

Which 3 deals closed fastest? What do those companies share beyond obvious firmographics?

Which customers expanded, referred, or renewed? That is your real ICP signal — not who bought first.

Where did the champion come from — title, pain, and what made them an internal advocate?

Which deals went dark? What those lost deals share is your anti-ICP.

Claude workflow: ICP discovery from early deal data

1

Compile your deal inventory

List every closed deal with: company size, industry, champion title, use case, deal size, time to close, and one sentence on why they bought.

2

Run the pattern extraction prompt

Prompt — ICP pattern extraction

Here are all our closed deals to date: [paste deal list]. We are trying to find our real ICP — not who we thought we were selling to, but who is actually buying and getting value. Identify: (1) the 2–3 strongest patterns across our best deals (fastest close, biggest deal, most enthusiastic buyer), (2) what the champion title and pain point have in common across wins, (3) what segments we should stop pursuing based on patterns in losses, (4) a draft ICP hypothesis we can test with the next 10 outbound sequences. Be specific and challenge my assumptions.

3

Validate with a customer discovery script

Use Claude to generate a 5-question discovery script to validate the ICP hypothesis in calls with your top 3 customers.

Pipeline quality3 hrs vs 2 weeks

Goal · Increase lead-to-demo conversion

People sign up but don't book demos. Conversion from signup to first conversation is under 15%.

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Diagnose first — this is rarely one problem

Is the drop-off before or after first product activation? Before = messaging problem. After = product problem.

Are you nurturing signups at all, or sending one "book a demo" email and giving up?

What is the intent signal of people signing up? Low conversion may mean you're attracting curiosity traffic, not buyers.

What does your demo booking page look like? Friction in the scheduling flow kills 20–40% of intent before a meeting is booked.

Claude workflow: Signup-to-demo nurture architecture

1

Map the current journey

Describe every touchpoint from signup to demo booking. Claude identifies dead zones where you have no communication.

2

Build the nurture sequence logic

Prompt — nurture sequence architecture

We sell [product] to [ICP]. Someone just signed up for our [trial/freemium]. Goal: get them to book a demo within 7 days. Current conversion: [X]%. Design a 5-email nurture sequence. For each email: (1) trigger and timing, (2) the job-to-be-done for the buyer at that moment, (3) the single call to action, (4) what NOT to say (common mistake). Give me the strategic logic first — not the copy.

3

Audit your demo page for friction

Paste your demo booking page copy into Claude. Ask it to identify every friction point killing conversion before the meeting is even booked.

Conversion rateBuilds in 2 hrs

Goal · Build category presence with zero budget

Nobody knows we exist. No brand budget. I need organic awareness among the right buyers.

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Diagnose first

Where does your ICP actually go to learn — newsletters, Slack communities, LinkedIn, specific podcasts, subreddits?

What are the 3 questions your buyers are Googling or asking AI search that you could definitively answer?

Who are the 10 practitioners in your space who already have your buyers' trust? That is your distribution map.

Claude workflow: Founder-led content engine

1

Find your unfair insight

Prompt — POV extraction from sales calls

Here are the top objections and pain points we hear in sales calls: [paste notes]. Here is what customers tell us in onboarding about their before-state: [paste]. What is the single most contrarian, defensible, specific point of view we could publish — one that our buyers would read and say "finally, someone said it"? Give me 5 POV hypotheses, ranked by how likely they are to generate real debate in our category.

2

Choose 3 channels maximum

At sub-$3M, more than 3 channels is noise. Use Claude to choose the 3 where your ICP concentrates and where you have an authentic voice. Build a 90-day rhythm — not a content calendar.

Brand presenceZero budget

Goal · Build a credible pipeline plan for the board

I've inherited a CRM mess and a sales team that doesn't trust marketing attribution. Board presentation in 3 weeks.

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Diagnose first

What was marketing's actual contribution to closed revenue in the last 12 months — by channel, not by MQL?

What is your pipeline-to-target coverage ratio? Healthy B2B SaaS needs 3–4× coverage. Below 2× means the conversation is about timeline, not channel mix.

Where did the last 10 closed deals originate — not MQL source, but the first touch that created the relationship?

Claude workflow: Pipeline diagnostic and board narrative

1

Run the pipeline coverage analysis

Prompt — pipeline diagnostic

Here is our current CRM pipeline: [paste export]. Quarterly target: $[X]M new ARR. Analyse: (1) our coverage ratio and whether it's realistic, (2) top 5 deals most likely to close by stage age and activity, (3) deals I should remove from forecast as noise, (4) the gap between realistic pipeline and target — and what that implies for marketing this quarter. Write as a brief I can share with the CEO.

2

Build the attribution narrative

Use Claude to construct a defensible attribution story from the data you do have. Imperfect data told honestly builds more credibility than overblown MQL metrics.

Board readinessSaves 8–12 hrs

Goal · Increase inbound lead-to-demo rate

18% lead-to-demo conversion. Sales says leads are bad quality. Marketing says sales doesn't follow up. Both are probably right.

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Diagnose first

What is average time-to-first-contact on inbound leads? Over 5 minutes kills conversion by 80%.

Which lead sources have the highest and lowest conversion rates? Low conversion from one channel may mean wrong audience — not broken follow-up.

What qualification criteria are you using? If every form fill is treated as a lead, you are wasting sales time on people who were never buying.

Is the demo converting to pipeline? If demo-to-opportunity rate is low, the problem is ICP fit — not lead volume.

Claude workflow: Lead scoring and handoff redesign

1

Build lead scoring logic

Prompt — lead scoring framework

We sell [product] to [ICP]. Lead-to-demo conversion: [X]%. Form fields we capture: [list]. Best customers: [describe]. Design a simple lead scoring model: (1) the 5 most predictive signals to score, (2) threshold for "route to sales immediately" vs "nurture first" vs "do not pursue", (3) what to ask on the form to get better signal without killing conversion rate. No fancy tech — a scored spreadsheet works.

2

Write the marketing-to-sales SLA

Use Claude to draft the SLA: what marketing promises to deliver, what sales commits to do within how many minutes. Put it in writing and get both sides to agree.

Conversion rateSales alignment

Goal · Same budget, more ARR

The CFO wants more with the same budget. I need to find where we're wasting spend and what to double down on.

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Diagnose first

What is your true cost-per-pipeline-dollar by channel? Not cost-per-MQL — cost per dollar of qualified pipeline created.

Which channels have the highest lead volume but lowest pipeline conversion? That is where you are probably over-invested.

Where is your sales team's time going on marketing-sourced leads? If they're burning time on low-conversion leads, marketing is creating a sales efficiency problem.

Claude workflow: Channel efficiency audit

Prompt — channel ROI reframe

Here is our channel performance data for [period]: [paste table with spend, leads, MQLs, pipeline, revenue by channel]. We are asked to improve efficiency without increasing budget. Reframe this data through a revenue-first lens: (1) rank channels by cost per pipeline dollar, not cost per lead, (2) identify over-investment relative to pipeline contribution, (3) identify channels that look expensive on CPL but convert well downstream, (4) give me a reallocation recommendation I can defend to a CFO who doesn't trust marketing metrics.

Budget efficiencyCFO-ready

Goal · Reduce churn through marketing

Gross revenue retention under 85%. Product and CS own the relationship post-sale. Marketing should be doing more.

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Diagnose first

Are churned customers leaving because they didn't achieve value, or because they found a better alternative? These require completely different marketing responses.

What does your expansion motion look like — is marketing part of it, or does it happen entirely in CS conversations?

If NPS or CSAT is declining, marketing should not be amplifying — it will accelerate churn, not reduce it.

Claude workflow: Churn pattern analysis

Prompt — churn and expansion patterns

Here are our churned accounts from the last 12 months with exit reasons: [paste]. Here are expanded accounts over the same period: [paste]. Identify: (1) what churned accounts had in common that was predictable at sale — this may indicate an ICP problem, (2) what expanded accounts did in months 1–3 that predicted expansion, (3) what marketing content could have intervened in the churn journey — and at what point, (4) a customer marketing programme focused on highest-impact interventions, not just a newsletter.

RetentionNRR improvement

Goal · Prove marketing's revenue contribution to the board

8 channels, two attribution models, and a board that doesn't trust either. I need a defensible revenue contribution narrative.

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Diagnose first

Are you trying to prove attribution or prove influence? These require different frameworks and different conversations.

What does your board actually care about — CAC efficiency, pipeline coverage, or marketing-influenced ARR? Build the model around what they measure.

Is the attribution disagreement a data problem or a trust problem? If trust, no model fixes it — transparency does.

Claude workflow: Board-ready contribution narrative

Prompt — executive attribution narrative

Here is our marketing performance data for [period]: [paste]. Board measures us on: [pipeline generated / CAC / NRR / revenue influenced]. We have a multi-touch model the board doesn't trust. Build: (1) a simple honest contribution narrative using data we do have, (2) what we should stop claiming that's undermining credibility, (3) a 1-page framework for how marketing will measure and report contribution going forward — one a CFO would sign off on, (4) the 3 metrics that should be on my board slide and why.

Board credibilitySaves weeks of modelling

Step 2 — Pick your discipline

Workflows by function

Marketing has genuinely distinct disciplines. What a revenue marketer does with Claude is structurally different from what a PMM or content strategist does.

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Revenue marketing — closest to the number

The highest-leverage function for Claude. You sit between pipeline data and sales reality. Claude turns that into sharper decisions, faster.

Not this: asking Claude to write email copy without pipeline context. Bring the data.

Pipeline narrative for leadership

Export CRM pipeline (stage, ARR, source, close date, last activity). Claude generates the narrative your CRO needs — not just the numbers.

Prompt template

Here is our current pipeline export [paste data]. We are targeting $[X]M ARR by end of [quarter]. Analyse for: (1) concentration risk by segment and source, (2) deals most at risk by stage age and activity, (3) gaps between pipeline and target that marketing needs to address, (4) 3 highest-leverage actions I should take this week. Write as a concise executive brief — no bullet padding.

Pipeline20 mins vs 4 hrs

Win/loss pattern extraction

Take 20–30 closed-won and lost CRM notes. Claude extracts patterns your team hasn't articulated — objection clusters, ICP drift, competitive loss signals.

Prompt template

Here are [N] win and loss notes from our CRM [paste, tag each W or L]. Identify: (1) top 3 themes separating wins from losses, (2) objections appearing in losses but rarely wins, (3) which ICPs we win vs lose, (4) what this tells us about where messaging is working vs failing. Be specific — do not hedge.

ICP accuracyQuarterly rhythm

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Demand gen & paid — where budget meets pipeline

Claude is not a replacement for a paid specialist. It is a force multiplier for the strategic thinking that sits above channel execution.

Not this: generating ad copy without channel performance data. Bring the numbers first.

Campaign brief red-team

Before your team spends budget, use Claude to find the weak assumptions in the brief.

Prompt template

Here is our Q[X] demand gen campaign brief [paste]. Act as a sceptical B2B demand gen strategist. Identify: (1) assumptions we're making that could be wrong, (2) budget allocation risks, (3) whether our conversion path is realistic given historical benchmarks, (4) what you'd change with 30% less budget. Be blunt.

Budget protectionRun before spend

Channel mix reallocation

Export channel performance. Claude reframes it through a pipeline lens, not a CPL lens.

Prompt template

Here is our channel performance data for [period] [paste table: spend, leads, pipeline, revenue by channel]. We define success as pipeline and revenue, not MQL volume. Rank channels by cost per pipeline dollar, identify over-investment, and give me a reallocation rationale I can defend to the CFO.

ROICFO-ready

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Brand & positioning — the strategic upstream work

Claude is not a designer. Use it for rigorous strategic thinking that informs designers and copywriters — not the output they produce.

Not this: generating logos, brand visuals, or design briefs. That needs a designer.

Positioning stress-test

Claude plays the cynical competitor and the sceptical buyer simultaneously against your current positioning.

Prompt template

Here is our current positioning: [paste]. Competitors: [list]. Target buyer: [describe]. Play two roles: (1) a cynical CMO at our top competitor — what is weak or derivative about our positioning? (2) a sceptical target buyer — what would feel like marketing speak vs genuine truth? Give me the hard version of both. No softening.

DifferentiationBefore campaign spend

Category design research brief

Exploring a category play? Use Claude to research the landscape and identify white space before investing in strategy.

Prompt template

We sell [product] to [buyer]. The category we compete in is currently called [name]. Research how analysts, influencers, and competitors currently define this category. Where is the definition contested? What jobs-to-be-done does the category fail to address? Is there a credible white-space positioning we could own?

CategoryLong-term leverage

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Content strategy — not content production

Claude for content strategy (senior) is entirely different from Claude for content writing (junior). Design the editorial architecture. Let others execute it.

Not this: "write me a blog post about X." That is not a CMO job.

Content-to-revenue gap analysis

Map existing content against pipeline stages. Find what is missing that is costing you deals.

Prompt template

Here is our content inventory [paste titles and topics]. Our sales cycle stages are [describe]. Identify: (1) coverage gaps by stage, (2) content that exists but may not match how buyers think at that stage, (3) the 5 highest-value content investments to directly influence pipeline. Frame everything through deal acceleration, not traffic.

Pipeline influenceEditorial planning

AEO — Answer Engine Optimisation strategy

AI Overviews appear on 13%+ of queries. B2B buyers click cited sources at 90%. This is a board-level concern, not an SEO task. See Part 4 for the full deep-dive →

Prompt template

We want to be cited by AI search engines (Perplexity, ChatGPT, Google AI Overviews) when buyers search for [our category/problem]. Research which questions B2B buyers ask in this space that AI engines are currently answering. What content format, depth, and sourcing approach gives us the best chance of being cited? Give me a specific strategy — not principles.

Organic pipelineAuthority

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Product marketing — the translation layer

PMM is where product meets revenue. Claude accelerates the hardest part — synthesising capability into buyer-resonant language at speed.

Not this: writing the one-pager without a messaging architecture first. Architecture before copy.

Competitive battlecard from raw intelligence

Feed Claude a competitor's website, G2 reviews, job posts, and win/loss notes. It constructs the intelligence layer your PMM team refines into a battlecard.

Prompt template

Here is intelligence on [competitor]: [paste website copy, review excerpts, job postings]. Win/loss notes involving them: [paste]. Build a competitive analysis: (1) what they are genuinely strong at, (2) weaknesses appearing in customer language, (3) objections they raise about us and how to respond, (4) deal scenarios where we win vs lose. Be honest where they are legitimately better than us.

Win rateSales enablement

Launch messaging architecture

Build the messaging matrix before your team writes a word of copy.

Prompt template

We are launching [feature/product]. The capability is [describe]. Target segments: [list with pain points per segment]. Build a messaging architecture: one core insight that frames why this matters now, then segment-specific value propositions (problem / solution / outcome) for each audience. Also draft 3 things this launch is NOT trying to say — to keep the team focused.

Deal influenceLaunch prep

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Marketing ops — the systems architect

For senior ops leaders, Claude's value is workflow design and measurement architecture — not individual task execution.

Not this: building HubSpot workflows in Claude. That needs your ops specialist.

Attribution model design

Claude helps you design the attribution logic and stakeholder narrative before you build anything — saving months of rework.

Prompt template

We have a [X]-week sales cycle, [N] stakeholders in a typical buying committee, and touchpoints across [list channels]. Sales attributes all revenue to themselves; marketing gets no credit. Design an attribution model that: (1) is defensible to a CFO, (2) accounts for our cycle length, (3) gives marketing influence credit without overclaiming, (4) can be implemented in [our CRM]. Include the data fields we need to capture from day one.

CFO credibilityArchitecture first

Step 3 — Critical decision

The delegation map

Senior marketers get this backwards constantly. What you do with Claude yourself, what you build into team workflows, and what you hire specialists for are three completely different questions.

You, using Claude directly

Pipeline and revenue narrative

Strategic red-teaming

Win/loss synthesis

Positioning stress-test

Board and exec briefing prep

ICP and segment decisions

Budget reallocation logic

Churn pattern analysis

Build into team workflows

First-draft content production

SEO and AEO brief generation

Campaign copy variations

Social media repurposing

Email sequence drafting

Research and competitive monitoring

Meeting notes and summaries

Battlecard first drafts

Delegate to specialists — not Claude

Technical SEO implementation

Paid channel optimisation

Visual brand and design

HubSpot / Salesforce build

Data engineering and attribution build

High-stakes copywriting

Video production and editing

Stop wasting time on

Vibe-coding internal tools

AI-generated imagery for brand

Generic "write me a blog post"

Using Claude as your Slack bot

Replacing a specialist hire with prompts

Summarising emails you should delete

The senior marketer who builds 10 AI-assisted workflows for their team multiplies their own judgment across every output the team produces.

That is structural leverage — not a productivity tool. The CMO's job is to build the system, not to be the system.

Stop using Claude like a junior copywriter. Use it like a strategic operator.

What is your situation?

Diagnose first — look for these signals

Claude workflow: ICP discovery from early deal data

Diagnose first — this is rarely one problem

Claude workflow: Signup-to-demo nurture architecture

Diagnose first

Claude workflow: Founder-led content engine

Diagnose first

Claude workflow: Pipeline diagnostic and board narrative

Diagnose first

Claude workflow: Lead scoring and handoff redesign

Diagnose first

Claude workflow: Channel efficiency audit

Diagnose first

Claude workflow: Churn pattern analysis

Diagnose first

Claude workflow: Board-ready contribution narrative

Workflows by function

The delegation map