# Budget Tracker

> Track budget pacing in real time. Use when: cross-platform spend tracking, overspend alerts, reallocation recommendations.

- **Type:** Skill
- **Install:** `agentstack add skill-indranilbanerjee-digital-marketing-pro-budget-tracker`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [indranilbanerjee](https://agentstack.voostack.com/s/indranilbanerjee)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [indranilbanerjee](https://github.com/indranilbanerjee)
- **Source:** https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/budget-tracker
- **Website:** https://indranil.in

## Install

```sh
agentstack add skill-indranilbanerjee-digital-marketing-pro-budget-tracker
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# /digital-marketing-pro:budget-tracker

## Purpose

Track advertising budget in real-time across all connected ad platforms. Analyze spend pacing against targets, project end-of-period totals, flag overspend risks and underspend inefficiencies, calculate daily burn rates, and recommend budget reallocations to maximize ROI within the remaining budget window. Designed for media buyers and marketing managers who need a single view of where money is going and whether it is being spent effectively.

## Input Required

The user must provide (or will be prompted for):

- **Budget period**: This month, this quarter, or a custom date range (e.g., "Feb 1 - Mar 31").
  Determines the pacing denominator and projection horizon
- **Ad platforms to include**: All connected platforms or specific ones (e.g., "Google Ads and Meta only").
  Defaults to all connected ad MCPs
- **Budget targets per platform** (optional): Specific spend targets per platform for the period.
  If omitted, targets are pulled from `profile.json` budget_range and any saved platform allocations
- **Total budget** (optional): Overall budget cap for the period.
  If omitted, pulled from `profile.json` budget_range
- **Alert thresholds** (optional): Custom thresholds for overpace (default: >110% of expected pacing) and
  underspend (default: 120%, immediate action: reduce bids, pause
   low-performers, set daily caps), overpace warning (110-120%, proactive adjustments this week), underspend
   warning (<70%, increase bids or expand targeting or reallocate), underspend info (70-85%, monitor).
8. **Pull efficiency metrics**: For each platform, retrieve CPA, ROAS, conversion volume, and cost per conversion
   so reallocation decisions are performance-informed, not just pacing-based.
9. **Recommend reallocations**: Execute `scripts/budget-optimizer.py` with current spend
   efficiency data to suggest specific dollar-amount shifts from underspending or low-efficiency platforms to
   high-performing ones with room to scale. Include rationale for each recommended move.
10. **Save budget snapshot**: Persist the current pacing snapshot via
    `scripts/performance-monitor.py --brand {slug} --action save-snapshot`
    for historical tracking, trend analysis, and comparison in future budget-tracker runs.

## Output

A structured budget dashboard containing:

- **Budget summary**: Total budget for the period, total spent to date, total remaining, overall pacing
  percentage, days elapsed, days remaining, projected end-of-period total, and overall health status
  (on track, overpacing, underpacing)
- **Per-platform spend table**: Platform name, budget target, actual spend to date, pacing percentage,
  daily burn rate (7-day avg), projected end-of-period spend, variance from target ($ and %),
  and status flag (green/yellow/red)
- **Pacing visualization data**: Daily spend trajectory vs ideal linear pacing for each platform —
  highlights where spend is accelerating, decelerating, or tracking evenly across the period
- **Overspend/underspend alerts**: Priority-ordered list of pacing issues with severity, platform,
  current pacing %, projected variance, and specific recommended corrective action
- **Reallocation recommendations**: Specific dollar-amount shifts between platforms with rationale — e.g.,
  "Move $2,000 from LinkedIn (62% pacing, $85 CPA) to Google Ads (98% pacing, $22 CPA, room to scale)"
- **Efficiency context**: Per-platform CPA, ROAS, conversion volume, and cost trend alongside spend data
  so budget decisions account for performance quality, not just pacing
- **Daily burn rate breakdown**: Current daily spend per platform vs target daily spend, with 7-day trend
  direction and acceleration/deceleration indicator
- **Projection scenarios**: Best-case, expected, and worst-case end-of-period spend projections per platform
  and in aggregate, with confidence ranges
- **Executive summary**: 2-3 sentence overview — total budget health, biggest risk or opportunity, and the
  single most important action to take now

## Agents Used

- **performance-monitor-agent** — Spend data aggregation from connected ad MCPs, pacing calculations, projection modeling, snapshot persistence, and historical spend trend analysis
- **media-buyer** — Budget optimization strategy, reallocation recommendations, platform-specific spend tactics (bid strategies, daily caps, audience expansion), and auction dynamics expertise

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [indranilbanerjee](https://github.com/indranilbanerjee)
- **Source:** [indranilbanerjee/digital-marketing-pro](https://github.com/indranilbanerjee/digital-marketing-pro)
- **License:** MIT
- **Homepage:** https://indranil.in

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-indranilbanerjee-digital-marketing-pro-budget-tracker
- Seller: https://agentstack.voostack.com/s/indranilbanerjee
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
