Leadership & Strategy💻 Technical CourseLearnAspire Certified

CMO in the AI Era: AI Content Operations, Blended Attribution, and Board-Ready Growth Strategy for Senior Marketing Leaders

“Build the stack. Own the numbers. Lead the board room.”

Build a defensible AI content pipeline in Claude/ChatGPT, reconcile GA4 and Triple Whale attribution under iOS 17+ signal loss, and deliver a CFO-approved 90-day growth strategy — all inside a single operational framework.

Advanced11h6 modules36 slides18 exercises24 quiz Qs
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₹2,999₹7,999

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  • ✓6 modules of content
  • ✓36 concept slides
  • ✓18 practical exercises
  • ✓24 quiz questions
  • ✓Capstone project
  • ✓LearnAspire certificate

Learning Outcomes

What you'll learn

→You will be able to write and deploy a multi-layer system prompt in Claude or ChatGPT that enforces NexaCore's brand voice, applies a structured editorial rubric, and routes output through a documented human review checkpoint — producing content that passes a brand fidelity audit without manual rewriting
→You will be able to diagnose the root cause of a specific GA4 vs. Triple Whale CAC discrepancy — distinguishing between cross-device attribution gaps, iOS 17 dark traffic loss, UTM parameter stripping, and model methodology differences — and produce a written attribution audit memo that a CFO can act on
→You will be able to construct a blended attribution model that combines GA4 data-driven attribution, Triple Whale 3.0 multi-touch last-touch and linear views, and a dark traffic correction factor derived from incrementality test results, and express the output as a single CAC source-of-truth by channel
→You will be able to design and interpret a geo-holdout incrementality test for a paid search or paid social channel using Triple Whale or Northbeam's incrementality reporting UI, and use the iROAS output to make a defensible budget reallocation recommendation
→You will be able to produce a complete 90-day AI-augmented growth strategy document — including channel mix with budget rationale, AI tool stack with line-item cost justification, content production SOP, and OKRs tied to MQL-to-pipeline conversion rate — formatted for board approval and graded against a marketing leadership rubric

The day after you finish

The day after completing this course, you will open your GA4 Explorations and Triple Whale 3.0 dashboard side by side, identify the specific sessions or conversions causing your CAC discrepancy, write a one-page attribution audit memo naming the root cause and your proposed blended model correction, and share it with your CFO or finance partner as the basis for a channel budget conversation — without needing to qualify your methodology or defer to an analytics consultant.

Who this is for

  • Primary: Senior marketing managers, Directors of Marketing, and VPs of Marketing with 7–12 years experience who have been handed AI tools and attribution dashboards without a coherent operating framework and are preparing for a CMO role or a board-facing strategy review
  • Secondary: Technically fluent CMOs at Series A–C B2B SaaS companies who need to rebuild their attribution stack post-Universal Analytics sunset and integrate AI content production without sacrificing brand quality or measurement integrity
  • Tertiary: Revenue Operations leads, Growth Engineers, and CFO-adjacent finance business partners who will consume the attribution models and growth strategy outputs this course produces and need to understand how marketing leadership makes budget decisions under signal uncertainty

Prerequisites

  • Has actively managed a digital marketing budget and made channel allocation decisions — not observed them
  • Has used GA4 beyond the default reports: can navigate Explorations, has configured at least one custom event, understands the difference between session-scoped and event-scoped dimensions
  • Has used at least one AI content tool (Claude, ChatGPT, Jasper, or equivalent) in a production context — not a demo — and has already encountered the failure modes: brand voice drift, factual hallucination, or generic output that required heavy editing
  • Understands what CAC, LTV, MQL, and CAC payback period mean in a B2B SaaS context and has had at least one conversation with a CFO or finance partner where a marketing attribution number was challenged

Curriculum

6 modules · full breakdown

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Capstone Project

NexaCore CMO Strategy Portfolio: AI Content SOP, Blended Attribution Audit, and 90-Day Board-Ready Growth Plan

Using all deliverables built across Modules 1–5, learners assemble and publish a complete CMO Strategy Portfolio for NexaCore Software. The portfolio integrates: a finalized AI Content Production SOP with system prompts, brand voice rubric, and editorial workflow in Claude; a blended attribution model workbook in Google Sheets reconciling GA4 data-driven attribution and Triple Whale 3.0 multi-touch data with dark traffic correction; an incrementality test design and iROAS-based budget reallocation memo; and a 90-day growth strategy document with channel mix, AI tool stack cost justification ($0–$2,500/month constraint), and OKRs tied to NexaCore's MQL-to-pipeline conversion target — all formatted as a Notion-published or GitHub-hosted portfolio with a one-page executive summary designed to survive a 20-minute board Q&A without follow-up questions

What you'll deliver

A publicly linkable CMO Strategy Portfolio containing: (1) a Claude/ChatGPT system prompt file with documented brand voice rubric and editorial checkpoint protocol; (2) a Google Sheets blended attribution model with GA4 and Triple Whale data inputs, dark traffic adjustment formulas, and a single CAC-by-channel output table; (3) a geo-holdout incrementality test design brief and a budget reallocation memo based on iROAS outputs; (4) a 90-day growth strategy slide deck or Notion document with channel budget allocation, AI tool stack with monthly cost, and three OKRs with defined measurement methodology — all housed in a single Notion workspace or GitHub repository with a structured README

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