Campaign Budget Allocation Optimizer

Pro v1.0.0 1 view

Optimize advertising budget distribution across multiple PPC campaigns using data-driven mathematical analysis and recommendations

What You Get

Get data-driven budget reallocation recommendations that maximize conversions or ROAS while respecting business constraints, with phased implementation plans and monitoring checklists

The Problem

PPC managers and small business owners managing 5-10 advertising campaigns struggle to allocate limited budgets optimally. Manual analysis is time-consuming and error-prone. Without mathematical optimization, budgets remain in underperforming campaigns while high-performing campaigns are underfunded, leading to wasted spend and missed conversion opportunities. Managers need data-driven reallocation recommendations that account for campaign efficiency, business constraints, and implementation risk.

The Solution

This skill analyzes campaign performance metrics (budget, conversions, ROAS, CPA) and uses a greedy allocation algorithm to recommend optimal budget distribution. It calculates efficiency metrics, ranks campaigns by performance, applies minimum/maximum budget constraints, and allocates remaining budget to highest-performing campaigns up to conservative scaling limits (typically 3x current spend). The skill generates detailed recommendations including current vs optimized allocation tables, expected impact projections, optimization logic explanations, phased implementation plans (2-4 weeks), monitoring checklists with red flags, and strategic advice for underperforming campaigns. The Python optimization script ensures deterministic, reproducible calculations.

How It Works

  1. 1 Gather campaign data (name, budget, conversions, ROAS) and validate for data quality issues
  2. 2 Calculate current performance baseline including total conversions, blended ROAS, weighted CPA, and per-campaign efficiency metrics
  3. 3 Run greedy allocation algorithm via Python script to optimize budget distribution based on efficiency rankings and constraints
  4. 4 Generate allocation recommendations with detailed tables showing current vs recommended budgets, expected changes, and optimization logic
  5. 5 Project expected impact on conversions, ROAS, revenue with confidence levels and assumptions clearly stated
  6. 6 Create phased implementation plan (50% week 1, 50% week 2, monitor weeks 3-4) with daily/weekly monitoring checklist and red flags

What You'll Need

  • Campaign performance data from last 30+ days (name, monthly budget, conversions, ROAS or revenue)
  • Total monthly budget constraint
  • Clear optimization goal (maximize conversions, ROAS, or revenue)
  • Any campaign-specific constraints such as minimum budgets for brand protection or maximum budgets for audience limits
  • Accurate conversion tracking in place for all campaigns

Get This Skill

Requires Pro subscription ($9/month)

Have Feedback?

Help us improve this skill by sharing your ideas and suggestions.

Request Improvements

Examples

B2B SaaS Multi-Channel ROAS Optimization

Optimizing 5 campaigns across LinkedIn and Google with $12k budget, focusing on ROAS maximization rather than pure conversion volume. Demonstrates handling multiple platforms, pausing underperforming LinkedIn campaigns (1.5x-2.2x ROAS), and reallocating to high-ROAS performers (Retargeting 4.5x, Google Competitor 3.0x). Shows +36% revenue improvement through strategic reallocation.

View example

E-commerce Conversion Maximization with Retargeting Focus

Optimizing budget across Brand, Generic Search, and Retargeting campaigns for an e-commerce business. Demonstrates how to reallocate from underperforming Generic Search to high-efficiency Retargeting, achieving +47% more conversions with same $6k budget. Shows clear winner identification and phased implementation approach.

View example

Local Service Business Call Volume Optimization

Optimizing budget for a local plumber across 4 service types (Emergency, Drain, Water Heater, General) with small $2k budget to maximize phone calls. Demonstrates cost-per-lead optimization, seasonal considerations for service businesses, and identifying underfunded high-performers. Shows +22% more calls by shifting from expensive Water Heater campaigns to efficient General Plumbing.

View example
View all examples