budget-optimizer

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Reallocate marketing spend across channels using performance data and diminishing-returns modeling — produces a current-vs-optimized allocation table, projected ROI ranges with confidence intervals, a phased 4-8 week reallocation timeline, and a 10-15% testing reserve. Recommends shifts only; it never changes spend on any platform. Triggers on "/digital-marketing-pro:budget-optimizer", "optimize my marketing budget", "which channels should get more spend", "reallocate budget based on ROAS", "is our channel split right". Reads the brand profile and guidelines, runs scripts/budget-optimizer.py, and pairs with /digital-marketing-pro:budget-tracker for in-flight pacing.

AI & Automation 809 stars 134 forks Updated 4 days ago MIT

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Skill Content

# /digital-marketing-pro:budget-optimizer ## Purpose Data-driven marketing budget optimization across channels using performance data and industry benchmarks. Analyzes current spend efficiency, models diminishing returns per channel, and produces an optimized allocation with projected ROI improvement and a phased reallocation timeline. ## Input Required The user must provide (or will be prompted for): - **Current budget by channel**: How spend is distributed today (e.g., paid search, paid social, SEO, email, content, display, affiliate, events, etc.) - **Performance data by channel**: Key metrics per channel — spend, revenue or conversions, CPA, ROAS, and conversion volume over the measurement period - **Total budget available**: Overall marketing budget for the optimization period (monthly, quarterly, or annual) - **Business goals**: Primary objective — maximize revenue, minimize CPA, hit a specific lead or revenue target, balance growth with efficiency - **Constraints**: Minimum spend requirements, channel mandates from leadership, seasonal considerations, contractual commitments, or platform minimums - **Measurement period**: Timeframe the performance data covers (last 30, 60, 90 days, or custom range) - **Attribution model**: How conversions are currently attributed (last-click, first-click, linear, data-driven, or unknown) - **Seasonality factors**: Upcoming seasonal peaks, promotional periods, or industry events that affect channel performance - **Historical contex...

Details

Author
indranilbanerjee
Repository
indranilbanerjee/digital-marketing-pro
Created
7 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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Data & Documents Listed

budget-optimizer

Reallocate marketing spend across channels using performance data and diminishing-returns modeling — produces a current-vs-optimized allocation table, projected ROI ranges with confidence intervals, a phased 4-8 week reallocation timeline, and a 10-15% testing reserve. Recommends shifts only; it never changes spend on any platform. Triggers on "/digital-marketing-pro:budget-optimizer", "optimize my marketing budget", "which channels should get more spend", "reallocate budget based on ROAS", "is our channel split right". Reads the brand profile and guidelines, runs scripts/budget-optimizer.py, and pairs with /digital-marketing-pro:budget-tracker for in-flight pacing.

0 Updated 3 weeks ago
teachskillofskills-ai
AI & Automation Featured

budget-tracker

Track advertising spend pacing in real time across connected ad platforms (Google Ads, Meta, LinkedIn, TikTok) — produces a budget dashboard with daily burn rates, end-of-period projections, overspend/underspend alerts, and dollar-specific reallocation recommendations backed by CPA/ROAS context. Monitors and recommends only; it never edits platform budgets. Triggers on "/digital-marketing-pro:budget-tracker", "are we overspending this month", "how is our ad budget pacing", "track spend across platforms", "will we blow through the budget cap". Reads budget targets from the brand profile, runs scripts/ad-budget-pacer.py, and saves snapshots for trend history; pairs with /digital-marketing-pro:budget-optimizer.

809 Updated 4 days ago
indranilbanerjee
Testing & QA Listed

budget-tracker

Track advertising spend pacing in real time across connected ad platforms (Google Ads, Meta, LinkedIn, TikTok) — produces a budget dashboard with daily burn rates, end-of-period projections, overspend/underspend alerts, and dollar-specific reallocation recommendations backed by CPA/ROAS context. Monitors and recommends only; it never edits platform budgets. Triggers on "/digital-marketing-pro:budget-tracker", "are we overspending this month", "how is our ad budget pacing", "track spend across platforms", "will we blow through the budget cap". Reads budget targets from the brand profile, runs scripts/ad-budget-pacer.py, and saves snapshots for trend history; pairs with /digital-marketing-pro:budget-optimizer.

0 Updated 3 weeks ago
teachskillofskills-ai