Acquisition Channel Advisor

Purpose

Guide product managers through evaluating whether to scale, test, or kill an acquisition channel based on unit economics (CAC, LTV, payback), customer quality (retention, NRR), and scalability (magic number, volume potential). Use this to make data-driven go-to-market decisions and optimize channel mix for sustainable growth.

This is not a channel strategy framework—it's a financial lens for channel evaluation that helps you avoid scaling unprofitable channels or killing channels with fixable problems. Use when deciding how to allocate marketing budget across channels.

Input

Works best with: The acquisition channel you're evaluating (e.g., paid search, outbound SDR, partner referrals). Also useful: Any metrics you already have — CAC, LTV, payback period, retention/NRR by channel — plus company stage and the decision on the table (scale, test, or kill).

Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.

Arriving empty-handed? That works too. The advisor opens by asking which channel you're evaluating and what data you have.

Example invocation: Evaluate our paid LinkedIn channel: CAC $2,400, LTV $9,000, 14-month payback, flat retention vs. organic.

Key Concepts

The Channel Evaluation Framework

A systematic approach to evaluate acquisition channels:

1. Unit Economics — What does it cost to acquire, and what's the return?

• CAC (Customer Acquisition Cost)
• LTV (Lifetime Value)
• LTV:CAC ratio
• Payback period

1. Customer Quality — Do customers from this channel stick around and expand?

• Cohort retention rate (by channel)
• Churn rate (by channel)
• NRR (Net Revenue Retention by channel)
• Expansion rate

1. Scalability — Can this channel sustain growth at the volume you need?

• Magic Number (S&M efficiency)
• Addressable volume (TAM of channel)
• Saturation risk (diminishing returns)
• CAC trend (increasing, stable, decreasing)

1. Strategic Fit — Does this channel align with your go-to-market strategy?

• Customer segment match (SMB vs. enterprise)
• Sales motion compatibility (PLG vs. sales-led)
• Brand positioning alignment

Decision Matrix

Anti-Patterns (What This Is NOT)

• Not vanity metrics: "We got 10,000 signups!" means nothing if they churn in 30 days
• Not CAC-only thinking: Low CAC with terrible retention is worse than high CAC with great retention
• Not ignoring payback: 5:1 LTV:CAC with 36-month payback is a cash trap
• Not scaling broken channels: Pouring money into inefficient channels accelerates failure

When to Use This Framework

Use this when:

• Evaluating whether to scale a new channel (content, paid, events, etc.)
• Deciding how to allocate marketing budget across channels
• Assessing whether to kill an underperforming channel
• Comparing channels to optimize ROI
• Planning annual marketing budget allocation

Don't use this when:

• Channel is brand-new (<3 months, <100 customers) — not enough data
• You're testing channel fit (this is for evaluation, not experimentation)
• Strategic channels (e.g., enterprises require field sales regardless of CAC)
• You don't have channel-level data (need to track CAC, retention by source)

Facilitation Source of Truth

Use `workshop-facilitation` as the default interaction protocol for this skill.

It defines:

• session heads-up + entry mode (Guided, Context dump, Best guess)
• one-question turns with plain-language prompts
• progress labels (for example, Context Qx/8 and Scoring Qx/5)
• interruption handling and pause/resume behavior
• numbered recommendations at decision points
• quick-select numbered response options for regular questions (include Other (specify) when useful)

This file defines the domain-specific assessment content. If there is a conflict, follow this file's domain logic.

Application

This interactive skill asks up to 4 adaptive questions, offering 3-5 enumerated options at decision points.

Step 0: Gather Context

Agent asks:

"Let's evaluate this acquisition channel. Please provide:

Channel details:

• Channel name (e.g., Google Ads, content marketing, outbound sales, partnerships)
• How long have you been using this channel? (months)
• Current monthly spend on this channel

Customer acquisition:

• Customers acquired per month (from this channel)
• CAC for this channel (if known, otherwise we'll calculate)

Business context:

• Blended CAC (across all channels)
• Blended LTV
• Current MRR/ARR
• Target growth rate (% MoM or YoY)

You can provide estimates if you don't have exact numbers."

Step 1: Evaluate Unit Economics

Agent calculates (if not provided):

CAC = Monthly Spend / Customers Acquired per Month

Agent asks:

"Now let's compare this channel's unit economics to your blended metrics.

Channel Unit Economics:

• Channel CAC: $___
• Blended CAC (all channels): $___
• Channel LTV: $___ (if known; otherwise we'll use blended LTV as proxy)
• Blended LTV: $___

Questions:

1. Do customers from this channel have similar LTV to other channels?

• Similar (use blended LTV)
• Higher (they upgrade more, stick around longer)
• Lower (they churn faster or are smaller deals)
• Unknown (need to analyze cohort data)

1. What's the payback period for this channel?

• We can calculate: CAC / (Monthly ARPU × Gross Margin %)
• Or you can provide it"

Based on answers, agent calculates:

• LTV:CAC ratio for channel
• Payback period
• Comparison to blended metrics

Agent flags:

• ✅ If LTV:CAC >3:1 and payback <12 months: "Strong unit economics"
• ⚠️ If LTV:CAC 2-3:1 or payback 12-18 months: "Marginal unit economics"
• 🚨 If LTV:CAC <2:1 or payback >18 months: "Poor unit economics"

Step 2: Assess Customer Quality

Agent asks:

"How do customers from this channel perform compared to other channels?

Retention & Expansion:

1. What's the churn rate for customers from this channel?

• Lower than blended (they stick around longer)
• Same as blended (no difference)
• Higher than blended (they churn faster)
• Unknown (need cohort analysis)

1. What's the NRR for customers from this channel?

• Higher than blended (they expand more)
• Same as blended (no difference)
• Lower than blended (they contract or churn more)
• Unknown (need cohort analysis)

1. What's the customer profile from this channel?

• Ideal customer profile (ICP) — perfect fit
• Close to ICP — mostly good fit
• Off ICP — many poor-fit customers
• Unknown"

Based on answers, agent evaluates:

• ✅ High quality: Lower churn, higher NRR, ICP match
• ⚠️ Medium quality: Similar to blended, mostly good fit
• 🚨 Low quality: Higher churn, lower NRR, off ICP

Agent flags:

• If high quality: "Premium channel—customers are better than average"
• If low quality: "Quality problem—customers aren't sticking or expanding"

Step 3: Evaluate Scalability

Agent asks:

"Can this channel scale to meet your growth targets?

Efficiency & Volume:

1. What's the S&M efficiency for this channel (Magic Number)?

• Calculate: (New MRR from channel × 4) / Channel S&M Spend
• Or provide if known

1. What's the addressable volume for this channel?

• Large (can scale 10x+ from current spend)
• Medium (can scale 2-5x)