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Spend Pacing Monitor

Tracks Google Ads spend against budget targets, predicts month-end totals, and alerts on pacing anomalies. Triggers when user asks about spend pacing, budget tracking, "am I on track?", or "will I hit my budget?" Provides daily/weekly analysis, identifies over/underspend patterns, and recommends adjustments to hit targets.

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Spend Pacing Monitor
SKILL.md
HOW_TO_USE.md
sample_input.json
expected_output.json
skillsgoogle-adsSKILL.md
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# Spend Pacing Monitor
 
Know exactly where you'll land before the month ends.
 
## Core Philosophy
 
**Budget surprises are management failures.** Whether you overspend by the 20th or scramble to spend on the 30th, poor pacing wastes money and opportunity.
 
**The Goal:** At any point in the month, know:
1. Where you are vs. where you should be
2. Where you'll end up if nothing changes
3. What adjustments to make to hit target
 
---
 
## Required Context
 
### Must Have
 
**1. Budget Information**
- Monthly budget target
- Budget period (calendar month or custom)
 
**2. Spend Data**
- Current month-to-date spend
- Current date (day of month)
- Days remaining in period
 
### Strongly Recommended
 
**3. Daily Spend History**
- Daily spend for current month (enables trend analysis)
- Or: weekly totals if daily not available
 
**4. Campaign Breakdown**
- Spend by campaign
- Budget by campaign (if set at campaign level)
 
### Nice to Have
 
- Historical monthly spend patterns
- Seasonality context
- Known upcoming changes (promotions, pauses)
- Conversion data (efficiency check)
 
---
 
## Pacing Analysis Framework
 
### Step 1: Basic Pacing Calculation
 
**Linear Pacing (Simplest):**
```
Expected spend to date = (Monthly budget / Days in month) Γ— Days elapsed
Pacing % = (Actual spend / Expected spend) Γ— 100
 
Under 90%: Underpacing
90-110%: On pace
Over 110%: Overpacing
```
 
**Example:**
```
Monthly budget: $30,000
Days in month: 30
Today: Day 15
Expected spend: ($30,000 / 30) Γ— 15 = $15,000
 
Actual spend: $12,000
Pacing: $12,000 / $15,000 = 80%
Status: Underpacing by 20%
```
 
---
 
### Step 2: Projection Calculation
 
**Simple Projection (Current Run Rate):**
```
Daily run rate = Month-to-date spend / Days elapsed
Projected month-end = Daily run rate Γ— Days in month
```
 
**Weighted Projection (Recent Trend):**
```
Recent daily average (last 7 days) = Last 7 days spend / 7
Projected remaining = Recent daily average Γ— Days remaining
Projected month-end = MTD spend + Projected remaining
```
 
**Which to Use:**
- Early month (Day 1-10): Use simple projection with caution
- Mid month (Day 11-20): Use weighted projection
- Late month (Day 21+): Weighted projection is most accurate
 
---
 
### Step 3: Variance Analysis
 
**Identify Patterns:**
- Consistent underspend: Systematic issue (budgets too high, targeting too narrow)
- Consistent overspend: Demand exceeds expectations or budgets too low
- Volatile spend: External factors or campaign issues
 
**Day-of-Week Patterns:**
- B2B: Often lower weekend spend
- B2C: Often higher weekend spend
- Retail: Day patterns vary by product
 
**Early vs Late Month:**
- Early month low: Could be learning period, will accelerate
- Early month high: Might burn out before month end
- Late month spike: Often indicates scramble to spend
 
---
 
### Step 4: Adjustment Recommendations
 
**If Underpacing:**
 
| Underpace Level | Likely Cause | Recommended Action |
|-----------------|--------------|-------------------|
| 5-15% under | Minor variance | Monitor, may self-correct |
| 15-25% under | Targeting/budget issue | Expand targeting or increase campaign budgets |
| 25%+ under | Structural problem | Audit accountβ€”something's blocking spend |
 
**If Overpacing:**
 
| Overpace Level | Likely Cause | Recommended Action |
|----------------|--------------|-------------------|
| 5-15% over | Normal variance | Monitor, slight budget reduction if needed |
| 15-25% over | Higher demand | Reduce budgets or tighten targeting |
| 25%+ over | Campaign issue | Immediate interventionβ€”check for anomalies |
 
---
 
## Output Format
 
### Pacing Dashboard
 
```
═══════════════════════════════════════════════════════════════
SPEND PACING REPORT
Period: [Month Year]
As of: [Date] (Day [X] of [Y])
═══════════════════════════════════════════════════════════════
 
PACING STATUS: 🟒 On Track / 🟑 Warning / πŸ”΄ Alert
 
Budget: $XX,XXX
MTD Spend: $XX,XXX (XX% of budget)
Expected: $XX,XXX (XX% of budget)
Variance: +/-$X,XXX (+/-XX%)
```
 
---
 
### πŸ“Š Current Status
 
**Month Overview:**
```
Day of Month: [X] of [Y]
Days Remaining: [X]
% of Month: [XX]%
```
 
**Spend Status:**
```
Monthly Budget: $[XX,XXX]
MTD Spend: $[XX,XXX]
Expected MTD: $[XX,XXX]
Variance: $[+/-X,XXX] ([+/-XX]%)
Pacing: [XX]% of expected
```
 
**Status Assessment:** [On Track / Slightly Under / Significantly Under / Slightly Over / Significantly Over]
 
---
 
### πŸ“ˆ Projections
 
**Month-End Forecast:**
 
| Method | Projected Spend | vs Budget | Confidence |
|--------|-----------------|-----------|------------|
| Run Rate | $XX,XXX | +/-XX% | [Low/Med/High] |
| Trend-Based | $XX,XXX | +/-XX% | [Low/Med/High] |
| Best Estimate | $XX,XXX | +/-XX% | β€” |
 
**Best Estimate Breakdown:**
```
Current MTD: $[XX,XXX]
Projected Remaining: $[XX,XXX] (based on [method])
Projected Total: $[XX,XXX]
vs Budget: [+/-$X,XXX] ([+/-XX]%)
```
 
---
 
### πŸ“… Daily Breakdown (If Provided)
 
| Date | Spend | Cumulative | vs Linear Pace | Notes |
|------|-------|------------|----------------|-------|
| [Date] | $X,XXX | $X,XXX | +/-X% | [Any anomaly] |
| [Date] | $X,XXX | $X,XXX | +/-X% | |
| ... | | | | |
 
**Pattern Observations:**
- [Observation about daily patterns]
- [Observation about trends]
 
---
 
### 🏒 Campaign Breakdown (If Provided)
 
| Campaign | Budget | MTD Spend | Pacing | Projection | Status |
|----------|--------|-----------|--------|------------|--------|
| [Name] | $X,XXX | $X,XXX | XX% | $X,XXX | 🟒/🟑/πŸ”΄ |
| [Name] | $X,XXX | $X,XXX | XX% | $X,XXX | 🟒/🟑/πŸ”΄ |
| **Total** | **$XX,XXX** | **$XX,XXX** | **XX%** | **$XX,XXX** | |
 
**Campaign-Level Issues:**
- [Campaign]: [Issue and recommendation]
 
---
 
### ⚠️ Alerts & Anomalies
 
**Active Alerts:**
- πŸ”΄ [Critical alert if any]
- 🟑 [Warning if any]
 
**Anomalies Detected:**
- [Date/period]: [Unusual spend pattern and likely cause]
 
---
 
### πŸ’‘ Recommendations
 
**To Hit Budget Target:**
 
**If Underpacing:**
```
Current daily run rate: $[X,XXX]
Required daily rate: $[X,XXX]
Gap: $[X,XXX]/day (+XX%)
 
Action: [Specific recommendation]
```
 
**If Overpacing:**
```
Current daily run rate: $[X,XXX]
Required daily rate: $[X,XXX]
Excess: $[X,XXX]/day (-XX%)
 
Action: [Specific recommendation]
```
 
**Specific Adjustments:**
1. [Campaign]: [Increase/decrease] budget by $[X] to [achieve outcome]
2. [Campaign]: [Specific action]
 
---
 
### πŸ“‹ Pacing Scenarios
 
**Scenario A: If Spend Continues at Current Rate**
- Month-end spend: $[X]
- vs Budget: [+/-X%]
- Outcome: [Assessment]
 
**Scenario B: If We Adjust to Target**
- Required daily spend: $[X]
- Adjustment needed: [+/-X%] from current
- Feasibility: [Easy / Moderate / Difficult]
 
**Scenario C: If [Specific Change]**
- Impact: [Projected outcome]
 
---
 
## Pacing Benchmarks
 
### Acceptable Variance by Month Stage
 
| Stage | Days | Acceptable Variance |
|-------|------|-------------------|
| Early | 1-7 | Β±25% (limited data) |
| Early-Mid | 8-14 | Β±15% |
| Mid | 15-21 | Β±10% |
| Late | 22-28 | Β±5% |
| Final | 29-31 | Β±3% |
 
### Intervention Triggers
 
| Variance | Early Month | Mid Month | Late Month |
|----------|-------------|-----------|------------|
| Β±5% | Monitor | Monitor | Monitor |
| Β±10% | Monitor | Investigate | Adjust |
| Β±15% | Investigate | Adjust | Urgent |
| Β±25%+ | Investigate | Urgent | Critical |
 
---
 
## Common Pacing Issues
 
### Issue 1: Consistent Underspend
**Symptoms:** Pacing under 85% every week
**Causes:**
- Campaign budgets set too high
- Targeting too narrow
- Low impression share not from budget
- Bid strategy too conservative
 
**Solutions:**
- Audit targeting breadth
- Check impression share reasons
- Increase bids or switch bid strategy
- Expand keywords/audiences
 
### Issue 2: Early Month Overspend
**Symptoms:** 80% of budget spent by day 20
**Causes:**
- Daily budgets not aligned with monthly
- Unexpected demand spike
- Campaign settings issue
 
**Solutions:**
- Reduce daily budgets
- Add budget caps at campaign level
- Implement shared budgets
- Enable accelerated spend at month end only
 
### Issue 3: Month-End Scramble
**Symptoms:** Need to spend 30% of budget in last week
**Causes:**
- Poor pacing management
- Overly conservative early month
- Budget increases not implemented
 
**Solutions:**
- Increase daily budgets significantly
- Expand targeting temporarily
- Add campaigns/keywords
- Accept potential efficiency loss
 
### Issue 4: Volatile Daily Spend
**Symptoms:** Days ranging from $500 to $2,000
**Causes:**
- Smart Bidding volatility
- Day-of-week patterns
- Competitive fluctuations
 
**Solutions:**
- Use shared budgets for smoothing
- Account for known patterns
- Set tighter budget controls
- Review bid strategy settings
 
---
 
## Limitations
 
**I can provide:**
- Accurate pacing calculations
- Reasonable projections based on data
- Anomaly identification
- Adjustment recommendations
 
**I cannot provide:**
- Future demand predictions
- Competitive landscape changes
- External factor impacts
- Guaranteed projection accuracy
 
**For better monitoring:**
- Provide daily spend history (enables trend analysis)
- Include campaign-level data (identifies specific issues)
- Note known events (promotions, seasonality)
- Share historical patterns (improves projections)
 
---
 
## Quality Checklist
 
Before delivering pacing report:
- [ ] Basic pacing calculation verified
- [ ] Projection method appropriate for month stage
- [ ] Anomalies flagged with context
- [ ] Recommendations are specific and actionable
- [ ] Campaign-level issues identified (if data provided)
- [ ] Scenarios help decision-making
- [ ] Intervention urgency appropriate to variance level
Ready
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Frequently Asked Questions

Common questions about Spend Pacing Monitor and how to use it effectively with Claude.

Spend Pacing Monitor is a pre-built AI skill for Claude that helps with google ads tasks. Tracks Google Ads spend against budget targets, predicts month-end totals, and alerts on pacing anomalies. Triggers when user asks about spend pacing, budget tracking, "am I on track?", or "will I hit my budget?" Provides daily/weekly analysis, identifies over/underspend patterns, and recommends adjustments to hit targets. This skill is designed to work seamlessly with Claude Code and other Claude-powered applications, enabling marketers and businesses to automate and enhance their google ads workflows.

To use Spend Pacing Monitor, download the skill files and add them to your Claude project. The skill includes a detailed HOW_TO_USE.md guide that walks you through the setup process step by step. Simply follow the instructions to integrate the skill into your workflow and start generating results immediately.

Yes, Spend Pacing Monitor comes with sample input data that demonstrates how to structure your requests for optimal results. The sample_input.json file shows the expected data format, and expected_output.json provides an example of what Claude will generate. This helps you understand exactly how to use the skill and what to expect from the output.

Unlike traditional google ads tools, Spend Pacing Monitor leverages Claude's advanced AI capabilities to provide intelligent, context-aware assistance. It combines pre-built expertise with Claude's reasoning abilities, allowing for more nuanced and customized outputs. The skill is also free to use, continuously updated, and integrates directly with your existing Claude workflow.

Absolutely. The skill files are fully editable, allowing you to modify the prompts, add your own brand guidelines, or adjust the output format to match your requirements. You can also combine this skill with other Claude skills to create powerful automated workflows tailored to your business needs.

Yes, Spend Pacing Monitor is completely free to download and use. All InsightfulPipe skills are open source and designed to help marketers and businesses leverage AI more effectively. You can download the skill files, use them in your projects, and even modify them to suit your specific requirements.