How is the AI Head of Growth different from the AI CMO?

The AI CMO focuses on brand, messaging, content, and campaign execution — the marketing craft. The AI Head of Growth focuses on experimentation, funnel optimization, and growth loops — the scientific method applied to growth. They complement each other: the CMO builds the brand and creates demand, and the Head of Growth converts that demand into users and revenue as efficiently as possible.

Do I need a large user base for growth experimentation to work?

No — but your experimentation approach should match your scale. At small sample sizes, you focus on qualitative research and higher-magnitude changes where the signal is strong enough to detect. The AI Head of Growth template adjusts its statistical frameworks to your sample size so you are not running underpowered tests or making decisions on noise.

How long before I see measurable impact from the growth program?

Quick wins in conversion optimization can show results in as little as two weeks. Building a systematic growth engine with a full experimentation backlog, clear channel economics, and retention loops typically takes 60-90 days to reach steady state. The key is consistency — the compounding effect of running experiments every week adds up faster than most teams expect.

Can the AI Head of Growth run paid ad experiments directly?

The template designs experiments, sets targeting parameters, writes creative briefs, and analyzes results. For direct platform execution, you will want someone — an internal performance marketer or agency — to manage campaigns in-platform. The AI Head of Growth gives them a prioritized experiment plan and holds the analysis layer.

Does this template work for B2B and enterprise companies with long sales cycles?

Yes, with adaptations. For B2B companies, the growth model includes lead-to-opportunity and opportunity-to-close stages, and experiments may run on lead quality, sales enablement, and pipeline velocity rather than pure self-serve conversion. The experimentation rigor is the same; the metrics and timeframes adjust to the B2B context.

AI Head of Growth Template

What this template is for

Goal

This template provides founders and growth teams with an AI growth leader who can design and manage an experimentation program, analyze funnel performance, identify growth levers, and build a systematic growth engine that compounds over time. It moves companies beyond random acts of marketing toward a disciplined growth process where every initiative is hypothesis-driven, measured, and either scaled or killed based on data. The AI Head of Growth operates as your always-on growth scientist, ensuring you are always running the experiments that have the highest expected impact on your north star metric.

Who it's for

This template is designed for early-stage founders who need to find product-market fit and initial growth channels, growth-stage companies building their first dedicated growth function, and marketing leaders who want to add a rigorous experimentation layer to their existing programs. It is also valuable for product-led growth companies optimizing their self-serve funnel and for companies transitioning from founder-led sales to scalable demand generation.

Growth Model and North Star Metric Definition

You cannot optimize what you have not defined. The AI Head of Growth template leads you through building a growth model that maps your acquisition, activation, retention, referral, and revenue loops. It helps you identify your north star metric — the single number that best captures the value you deliver to users — and break it down into its input metrics that teams can actually influence. The output is a growth model document that everyone in the company can understand, aligning product, marketing, and sales around the same definition of success.

Build a quantitative growth model with acquisition, activation, retention, referral, and revenue loops
Define a north star metric and decompose it into actionable input metrics
Map the full user journey from first touch to power user with conversion rates at each stage
Identify the biggest drop-off points in your funnel and size the opportunity of fixing them
Set growth targets that are grounded in your model's assumptions, not wishful thinking

Experimentation Program and Roadmap

Growth teams live and die by their experimentation velocity and rigor. The AI Head of Growth template builds an experimentation program with a structured process for generating ideas, prioritizing them by expected impact and effort, designing valid experiments, and making ship-or-kill decisions based on results. It maintains a living experimentation backlog and a results database so your team never repeats failed experiments and always builds on what worked. The template enforces statistical rigor — minimum sample sizes, significance thresholds, and holdout groups — so you can trust your results.

Build an experimentation backlog with idea generation, prioritization, and scoring frameworks
Design valid A/B tests with hypothesis statements, success metrics, and statistical power analysis
Prioritize experiments using ICE or PXL frameworks with explicit impact and effort estimates
Maintain an experiment results database to prevent repeating failures and build on wins
Generate experiment review dashboards that track velocity, win rate, and cumulative impact

Funnel Analysis and Conversion Optimization

Most companies have no idea where they are leaking users. The AI Head of Growth template builds a comprehensive funnel analysis that traces users from first impression through activation, engagement, conversion, and expansion. It identifies the specific steps where users drop off, segments drop-off by user characteristics to find patterns, and generates hypotheses about why users are leaving. For each friction point, it proposes experiment ideas ranked by expected impact on the overall funnel conversion rate.

Map your end-to-end conversion funnel with rates at every step
Segment funnel analysis by acquisition channel, persona, and behavior to find patterns
Identify the 3-5 highest-impact friction points and size the opportunity of fixing each
Generate experiment hypotheses for each friction point with predicted lift estimates
Track funnel metrics over time to measure the cumulative impact of optimization work

Channel Strategy and Acquisition Mix

Sustainable growth requires a diversified acquisition portfolio where you understand the unit economics of every channel. The AI Head of Growth template evaluates every potential acquisition channel against your target audience, CAC, and scalability. It helps you identify which channels to double down on, which to test, and which to deprioritize. For each active channel, it builds an operating plan with creative strategy, budget, targeting, and success metrics. Over time, it optimizes the channel mix to maximize total acquisition volume within your CAC constraints.

Audit current acquisition channels and evaluate new channel opportunities
Calculate channel-level CAC, conversion rates, and LTV to compare unit economics
Build channel operating plans with creative strategy, budget, and targeting
Develop a channel testing roadmap to diversify acquisition beyond your primary channel
Optimize channel mix allocation based on marginal CAC and volume potential

Retention and Engagement Loops

Acquisition without retention is a leaky bucket. The AI Head of Growth template helps you map your retention and engagement loops — the mechanisms that keep users coming back and deepening their relationship with your product. It analyzes cohort retention curves, identifies the behaviors that correlate with long-term retention, and designs interventions to get more users to adopt those behaviors. It also builds re-engagement programs for users at risk of churning, with messaging and offers that are tailored to their usage patterns and churn risk signals.

Analyze cohort retention curves and identify the behaviors that predict long-term retention
Design activation experiments to get new users to the aha moment faster
Build habit loops that drive regular engagement through triggers, actions, and rewards
Create churn prediction models and re-engagement programs for at-risk users
Map viral loops and referral mechanics with viral coefficient tracking

Growth Reporting and Stakeholder Communication

Growth work can look like a black box to the rest of the organization. The AI Head of Growth template builds reporting rhythms that make growth work visible, credible, and aligned with company priorities. It generates weekly growth digests that summarize experiment results, funnel movements, and channel performance. For leadership reviews, it produces monthly and quarterly growth narratives that connect experimentation output to business outcomes, making the case for continued investment in the growth program.

Generate weekly growth digests with experiment results, funnel metrics, and channel highlights
Build monthly growth review decks with narrative, data, and forward-looking plans
Create a growth dashboard that makes key metrics visible to the entire company
Document growth playbooks for successful experiments so they can be scaled and repeated
Connect growth metrics to revenue and valuation to demonstrate the ROI of the growth program

Template fields

Current North Star Metric

The single metric that best captures the value you deliver. If you do not have one, the AI Head of Growth will help you define it.

Current Monthly Active Users or Customers

Your base of active users or customers. This anchors the growth model and sets the baseline for all target setting.

Current Acquisition Channels

Where your users or customers come from today — ads, content, referrals, sales, partnerships, etc. Include approximate volume and CAC per channel.

Conversion Funnel Data

Your current conversion rates at key funnel stages. If you do not have this data, the template will help you instrument it.

Growth Team Composition

Who works on growth today — dedicated growth team, marketing, product, or just the founders. This influences the experimentation velocity you can sustain.

Monthly Growth Budget

Total budget available for growth experiments and paid acquisition. The AI Head of Growth allocates this across channels and experiments.

What you get

A quantitative growth model that connects every input metric to your north star, making growth predictable
An experimentation program running 4-8 tests per month with statistical rigor and clear ship-or-kill decisions
Conversion funnel optimization that typically unlocks 15-30% improvement in key conversion rates within 90 days
A diversified acquisition portfolio with clear unit economics per channel, reducing dependency on any single channel
Retention programs that move the needle on month-3 and month-6 retention through behavior-based interventions