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 accountβsomething'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 interventionβcheck for anomalies |
---
## Output Format
### Pacing Dashboard
```
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
SPEND PACING REPORT
Period: [Month Year]
As of: [Date] (Day [X] of [Y])
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
PACING STATUS: π’ On Track / π‘ Warning / π΄ Alert
Budget: $XX,XXX
MTD Spend: $XX,XXX (XX% of budget)
Expected: $XX,XXX (XX% of budget)
Variance: +/-$X,XXX (+/-XX%)
```
---
### π 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]
---
### π 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]%)
```
---
### π
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]
---
### π’ Campaign Breakdown (If Provided)
| Campaign | Budget | MTD Spend | Pacing | Projection | Status |
|----------|--------|-----------|--------|------------|--------|
| [Name] | $X,XXX | $X,XXX | XX% | $X,XXX | π’/π‘/π΄ |
| [Name] | $X,XXX | $X,XXX | XX% | $X,XXX | π’/π‘/π΄ |
| **Total** | **$XX,XXX** | **$XX,XXX** | **XX%** | **$XX,XXX** | |
**Campaign-Level Issues:**
- [Campaign]: [Issue and recommendation]
---
### β οΈ Alerts & Anomalies
**Active Alerts:**
- π΄ [Critical alert if any]
- π‘ [Warning if any]
**Anomalies Detected:**
- [Date/period]: [Unusual spend pattern and likely cause]
---
### π‘ 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]
---
### π 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
ReadySpend Pacing Monitor
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