AI Campaign Planning Template
A structured template for CMOs and marketing leaders to plan, scope, and justify AI-powered campaigns with clear ROI metrics and governance guardrails. Use this to move beyond pilot mode and embed AI into high-friction workflows where time and revenue are leaking. Produces a leadership-ready campaign brief that connects AI implementation to measurable business outcomes.
How to Use This Template
- 1.## Step 1: Audit Your Operational Debt
- 2.**Start by identifying the specific workflow that is draining time and creating bottlenecks.** Don't start with "We want to use AI." Start with "This process is broken." In the Campaign Overview and Problem & Opportunity sections, describe the exact workflow—how many hours per week, which team members, how many approval cycles, where rework happens. Quantify the time leakage and connect it to a revenue metric (pipeline impact, conversion loss, engagement decline). This is your justification for why AI is worth the investment. Without this friction point, your campaign is a pilot that will never scale.
- 3.## Step 2: Define the AI Solution Narrowly
- 4.**Resist the urge to boil the ocean.** In the AI Use Cases table, list only the 2-3 AI applications that directly address the friction point you identified in Step 1. For each use case, specify the exact input (what data or brief goes into the AI tool), the output (what the AI produces), and the time saved. This forces you to think in systems, not tools. You're not adopting AI because it's cool; you're adopting it because it removes a specific bottleneck. Rank use cases by impact—start with the one that saves the most time or unlocks the most revenue.
- 5.## Step 3: Build Lightweight Governance Into the Design
- 6.**Governance is not a gate; it's a guardrail.** In the Governance & Risk Mitigation section, define the specific checks that ensure brand, legal, and data compliance without slowing down the workflow. For example: "All AI-generated copy is reviewed against a 30-second brand checklist before publication" (not "Legal reviews everything"). Specify who owns each guardrail, what the check is, and how long it takes. This prevents shadow AI and keeps your CFO and Legal team comfortable. Without this, your team will either ignore governance or create so much friction that the AI project fails.
- 7.## Step 4: Model the ROI in Three Buckets
- 8.**Connect AI to money, not just speed.** In the Financial Model section, quantify three types of returns: (1) Efficiency savings (hours saved × loaded labor cost), (2) Revenue lift (better outputs → higher conversion/engagement), and (3) Velocity gains (faster cycles → more campaigns/tests → compounding returns). Use conservative estimates—if you save 10 hours/week, don't claim 100% productivity reallocation. If AI lifts email open rate by 4 points, calculate the incremental pipeline value. Show payback period (when the tool pays for itself) and Year 1 ROI. This is what your CFO needs to see to approve the spend and defend it to the board.
- 9.## Step 5: Plan for Pilot-to-Scale Handoff
- 10.**Design the implementation roadmap to prove lift, then scale.** In the Implementation Roadmap section, break the campaign into three phases: Foundation (setup & training), Pilot (test on one segment/campaign, measure results), and Scale (roll out to full campaign, then expand to next use case). Each phase has clear gates and metrics. The pilot phase is critical—this is where you collect the data that justifies scaling. Document what worked, what didn't, and how you iterated. This prevents the "pilot forever" trap where AI projects never graduate to business-as-usual.
- 11.## Step 6: Set Up Weekly Reporting to Leadership
- 12.**Make ROI visible and undeniable.** In the Success Metrics section, identify 3-4 KPIs that you will track weekly and report to leadership bi-weekly. These should include both efficiency metrics (time saved, output volume) and business metrics (conversion lift, cost per output). Create a simple dashboard or one-pager that shows baseline, target, and current performance. This keeps the project visible, builds confidence, and creates momentum for scaling. Without regular reporting, the project becomes invisible and loses executive support.
Template
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Get the Full AI Marketing Learning Path
Courses, workshops, frameworks, daily intelligence, and 6 proprietary tools — built for marketing leaders adopting AI.
Trusted by 10,000+ Directors and CMOs.
