Internal · Planning Framework

Media Plan
System.

The financial and performance backbone of the Value Signal Growth System. Plan, track, and optimize spend across every engagement.

Section 1 · Context
Problem Statement
Why a unified media planning system matters — and what's at stake without one.

I'd like to figure out a solution around our Media Plans across all clients that creates clarity, accountability, and traceability across how capital is deployed and how performance is measured.

It feels like we may be operating without a consistent planning layer that ties budget, channel allocation, and performance targets together in a structured way. This creates gaps in how we forecast, how we evaluate performance, and how we communicate with clients.

Ideally the Media Plan should become the single source of truth for how we plan, track, and optimize spend across every engagement.

This needs to live as a digital system within Vercel or the client dashboard, not as a static spreadsheet. It should be dynamic, trackable, and visible to both internal teams and clients.

Section 2 · Framework
Two-Layer Structure
The Media Plan is built on two core layers that work together: what we expect to happen, and what is actually happening.
Plan
Forward-Looking

The Plan layer defines what we expect to happen. This creates a clear benchmark for what success looks like before execution begins.

  • Gross sales targets — percentage change versus last year
  • Target revenue for the current period
  • Total planned spend and spend as a percentage of sales
  • Channel allocation across Meta, Google, TikTok, Affiliate, and other relevant channels
  • Percentage distribution of spend across channels
  • Expected new customers and CAC / CPL targets
  • Order volume and repeat customer contribution
  • AOV targets — the expected average order value baseline
Actuals
Live Performance

The Actuals layer captures what is actually happening — creating a direct comparison so we can quickly identify where adjustments are required.

  • Gross sales — real-time versus planned targets
  • Total spend and spend as a percentage of net sales
  • New customers acquired this period
  • CAC / CPL actuals versus plan
  • Total orders placed
  • Repeat behavior — returning customer rate
  • AOV actuals — average order value in the period
  • Variance flags — where we are over or under against plan
Section 3 · Decision Framework
Key Questions
This system should allow us to answer these questions at any point in time — not just at end of month.
01 Are we pacing to plan?
02 Where are we over or under invested?
03 Which channels are driving efficiency or inefficiency?
04 How are we performing against customer acquisition targets?
05 How is this translating into revenue and contribution?
Section 4 · Operating Model
Integration Layer
This Media Plan integrates directly into weekly reporting so we are always operating against a single framework.
Pacing View
Budget Pacing
Weekly pacing against planned spend — by channel and in aggregate. Identifies over/underspend before it becomes a problem.
Allocation View
Channel Mix
Budget allocation view shows where dollars are deployed versus plan. Flags channel drift and surfaces rebalancing opportunities.
Performance View
Performance Insights
All performance insights — CAC, ROAS, new customers, revenue — reference back to plan benchmarks, not just trailing averages.
Section 5 · Conceptual Mockup
Plan vs. Actuals
Illustrative example — DTC client, current period. Green variance = outperforming plan. Red variance = gap to close.
Media Plan · DTC Example · Current Period Updated weekly · Illustrative figures
Metric Plan Actual Variance Status
Total Spend $50,000 $47,200 −$2,800 −5.6% Underspend
Gross Revenue $280,000 $261,000 −$19,000 −6.8% Below Plan
ROAS 5.6x 5.5x −0.1x On Track
New Customers 420 387 −33 −7.9% Below Plan
CAC $119 $122 +$3 Watch
Spend % of Revenue 17.9% 18.1% +0.2pp In Range
Meta $22,500 $21,800 −$700 On Pace
Google $17,500 $16,400 −$1,100 Underpacing
Email Revenue $56,000 $59,200 +$3,200 +5.7% Ahead
Vision
Over time, this becomes a compounding asset. It improves forecasting accuracy, strengthens client communication, and allows us to scale decision making across accounts. This is not just a planning tool. It is the financial and performance backbone of the Value Signal Growth System.