# Lead Quality Recommendation Prioritization

> Recommendation prioritization framework with implementation timelines for lead quality investigations. Auto-invoke when generating recommendations, prioritizing actions, or creating implementation plans. Provides 3-tier priority system (Immediate/Medium/Long-term) with structured recommendation templates.

- **Type:** Skill
- **Install:** `agentstack add skill-fourteenwm-ppc-ai-skills-lead-quality-recommendation-prioritization`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [fourteenwm](https://agentstack.voostack.com/s/fourteenwm)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [fourteenwm](https://github.com/fourteenwm)
- **Source:** https://github.com/fourteenwm/ppc-ai-skills/tree/main/lead-quality-recommendation-prioritization

## Install

```sh
agentstack add skill-fourteenwm-ppc-ai-skills-lead-quality-recommendation-prioritization
```

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

## About

# Lead Quality Recommendation Prioritization Skill

**Purpose:** Provides standardized methodology for prioritizing and structuring lead quality recommendations with clear implementation timelines and success metrics.

**Type:** Domain knowledge skill (auto-invoked)

---

## Core Principle: Actionable, Verified, Prioritized

**Every recommendation must be:**
1. **Verified** - Confirmed as not already implemented
2. **Specific** - Exact steps, not generic advice
3. **Prioritized** - Clear timeline (Immediate/Medium/Long-term)
4. **Measurable** - Expected impact quantified when possible

**Anti-Pattern to Avoid:**
- ❌ "Improve targeting" (too vague)
- ❌ "Add negative keywords" (already done? which keywords?)
- ❌ "Optimize campaign" (no specific action)

**Correct Pattern:**
- ✅ "Add `/blog/*` to URL exclusions (not currently configured) - Expected to reduce conversions from blog pages by ~75%"

---

## Three-Tier Priority System

### 🚨 Tier 1: IMMEDIATE ACTIONS (Implement Today)

**Criteria for Immediate Priority:**
- Quick wins (can be done in 3 red flags, severe quality issues)
- High impact, low effort
- No approvals or testing required
- Directly addresses root cause

**Time Frame:** Today (same day)

**Examples:**
- Adding URL exclusions for blog content
- Excluding mobile app placements
- Pausing underperforming campaigns
- Adding negative keywords for irrelevant queries

---

### ⚠️ Tier 2: MEDIUM-TERM ACTIONS (This Week)

**Criteria for Medium Priority:**
- Requires testing or validation
- Needs approval from client or stakeholder
- Medium effort (2-4 hours implementation)
- Strategic changes (bidding strategy, audience signals)
- Requires monitoring period before next step

**Time Frame:** Within 7 days

**Examples:**
- Adding conversion value rules
- Implementing audience signals
- Creating new campaigns or ad groups
- Adjusting budgets based on quality performance
- Setting up ad scheduling restrictions

---

### ℹ️ Tier 3: LONG-TERM STRATEGIES (This Month)

**Criteria for Long-term Priority:**
- Strategic initiatives (requires planning)
- Requires development work (landing pages, tracking)
- Needs multiple stakeholder approvals
- High effort (>1 week implementation)
- Foundational changes to account structure

**Time Frame:** Within 30 days

**Examples:**
- Implementing offline conversion tracking
- Creating dedicated thank-you pages with quality differentiation
- Building new landing pages
- Restructuring campaign architecture
- Implementing CRM integrations

---

## Recommendation Structure Template

### Standard Recommendation Format

```markdown
#### {Priority Emoji} {Action Number}. {Action Name}

**Current State:** {What exists now - be specific}

**Recommendation:** {Specific change to implement}

**Implementation Steps:**
1. {Step 1 - exact instruction}
2. {Step 2 - exact instruction}
3. {Step 3 - exact instruction}

**Expected Impact:**
- {Quantified metric if possible}
- {Timeline for seeing results}

**Verification Before Implementing:**
- [ ] Not already configured (checked {date})
- [ ] Technically feasible (confirmed {method})
- [ ] No conflicts with other campaigns
```

---

## Recommendation Examples by Tier

### Example 1: IMMEDIATE - URL Exclusions

```markdown
#### 🚨 1. Exclude Blog/Community Content from Performance Max

**Current State:**
- No URL exclusions configured
- 76.2% of conversions (64 of 84) coming from `/blog/*` blog pages
- Blog content = moving tips, neighborhood guides (informational, not property-focused)

**Recommendation:**
Add content exclusions for blog/informational URLs to focus spend on property/conversion pages

**Implementation Steps:**
1. Navigate to Performance Max campaign settings
2. Go to "Content" → "Exclusions" → "Excluded content"
3. Add the following URL patterns:
 - `*acme-plumbing.com/blog/*`
 - `*acme-plumbing.com/blog/*`
 - `*acme-plumbing.com/news/*`
4. Save changes

**Expected Impact:**
- Reduce conversions from blog traffic by ~75% (64 → 16 conversions)
- Improve lead quality by focusing on users viewing service pages
- May see 20-30% decrease in total conversions, but 50%+ improvement in show-up rate
- Should see impact within 3-5 days

**Verification:**
- ✅ Confirmed no URL exclusions currently configured (checked 2025-10-24)
- ✅ Blog URLs account for majority of low-quality conversions
- ✅ No risk to service page conversions (separate URL structure)
```

---

### Example 2: MEDIUM - Conversion Value Rules

```markdown
#### ⚠️ 2. Implement Conversion Value Rules Based on User Engagement

**Current State:**
- All conversions assigned equal value ($1 default)
- Bidding strategy = Maximize Conversion Value
- GA4 shows wide variance in user engagement (some 5 min sessions)
- Algorithm can't differentiate high-engagement vs low-engagement conversions

**Recommendation:**
Create conversion value rules that assign higher value to engaged users

**Implementation Steps:**
1. Go to Tools → Conversions → Select "contact_form_submission"
2. Click "Value rules" → "New rule"
3. Create rules based on conditions:
 - **Rule 1 (High Value):** IF session duration >120 sec AND pages/session >3 → Value = $5
 - **Rule 2 (Medium Value):** IF session duration 30-120 sec → Value = $3
 - **Rule 3 (Low Value):** IF session duration • Exclude mobile app placements• Add negative keywords for irrelevant terms | 🚨 High | Media Buyer | ⏳ Pending |
| Week 2 | • Implement conversion value rules• Add audience signals (in-market potential customers)• Monitor quality improvements | ⚠️ Medium | Media Buyer | ⏳ Pending |
| Week 3 | • Review conversion value distribution• Adjust rules based on learning• Begin offline conversion planning | ⚠️ Medium | Media Buyer + Client | ⏳ Pending |
| Week 4 | • Initiate CRM integration for offline conversions• Build data pipeline• Create "tour_attended" conversion action | ℹ️ Low | Developer + Media Buyer | ⏳ Pending |
```

---

## Success Metrics & Monitoring Template

**Purpose:** Define how to measure if recommendations are working

```markdown
## Success Metrics & Monitoring

**Primary KPIs:**
1. **Show-up Rate** (tours attended ÷ tours booked)
 - Current: ~20%
 - Target: >50% within 30 days
 - Measurement: Client CRM data

2. **Cost per Attended Tour** (spend ÷ tours attended)
 - Current: ~$250 (estimated, based on 20% show-up rate)
 - Target: 1 week implementation or development work?
 └─ YES → ℹ️ LONG-TERM PRIORITY
 └─ NO → ⚠️ MEDIUM PRIORITY (moderate effort)
```

---

## Quality Checks Before Recommending

**Pre-Flight Checklist:**

Before adding any recommendation to final report:

- [ ] **Verified not already implemented** (checked campaign settings on {date})
- [ ] **Specific and actionable** (not generic advice like "improve quality")
- [ ] **Implementation steps provided** (exact instructions, not just "do this")
- [ ] **Expected impact quantified** (% change, timeline, metric)
- [ ] **Priority tier assigned** (Immediate / Medium / Long-term)
- [ ] **Verification evidence documented** (how we confirmed it's not already done)
- [ ] **No conflicts with other recommendations** (actions don't contradict each other)
- [ ] **Technically feasible** (confirmed possible in Google Ads platform)

**If ANY checklist item fails:**
- Do NOT include recommendation
- Either fix the gap (add missing details) or document in "What Was Ruled Out"

---

## Integration with Investigation Workflow

### Pre-Recommendations (Pattern Analysis & Cross-Reference):
1. **lead-quality-pattern-analysis** - Identifies red flags and issues
2. **ga4-campaign-cross-reference** - Verifies what's already configured vs gaps

### During Recommendations (This Skill):
3. Apply prioritization decision tree to each finding
4. Structure recommendations using templates
5. Create "What Was Ruled Out" documentation
6. Build implementation timeline

### Post-Recommendations (Output):
7. **client-communication-standards** - Format final report
8. Include success metrics and monitoring plan
9. Deliver with clear next steps

---

## Real-World Example: Example PMAX Prioritization

### Findings from Analysis:
- 5 red flags detected (🚨 Severe)
- 3 configuration gaps confirmed
- 2 hypotheses ruled out

### Recommendations Generated:

**🚨 IMMEDIATE (3 actions):**
1. Add `/blog/*` URL exclusions → Addresses 76.2% blog traffic
2. Reduce budget during seasonal decline → Preserves budget for better timing
3. Pause AI Max campaign → Underperforming, cannibalizing Pmax budget

**⚠️ MEDIUM (2 actions):**
4. Implement conversion value rules → Requires testing, client awareness
5. Review mobile app placements → Requires deeper placement report analysis

**ℹ️ LONG-TERM (2 actions):**
6. Dual thank-you page setup → Requires client dev work
7. Offline conversion tracking → Requires CRM integration (4-6 weeks)

**❌ RULED OUT (2 hypotheses):**
1. Geographic targeting changes → Verified targeting correct, IP geolocation issue
2. Add negative keywords → Already comprehensive list configured

### Implementation Timeline:
- **Week 1:** All IMMEDIATE actions completed
- **Week 2-3:** MEDIUM actions implemented and monitored
- **Week 4+:** LONG-TERM planning initiated

### Result:
Clear action plan with specific next steps, verified recommendations, and documented due diligence (ruled-out items)

---

## When to Use This Skill

### Auto-Invoked When:
- Generating lead quality recommendations
- Prioritizing investigation findings
- Creating implementation timelines
- Documenting "What Was Ruled Out"
- User asks "what should I do about {lead quality issue}"

### Manual Invocation:
- Campaign audits (organizing findings)
- Client reports (structuring recommendations)
- Monthly reviews (prioritizing fixes)

---

## Related Skills & Documentation

**Related Skills:**
- **lead-quality-pattern-analysis** - Identifies issues that become recommendations
- **ga4-campaign-cross-reference** - Verifies what's already done (prevents duplicate recommendations)
- **client-communication-standards** - Formatting for final report delivery
- **budget-recommendation-calculator** - Similar prioritization framework for budget changes

**Related Documentation:**
- Example PMAX GA4 Analysis (example of full recommendation structure)
- GA4 Cross-Analysis System Overview
- Client communication examples

---

**Created:** 2025-11-01
**Extracted From:** ga4-lead-quality-investigation-agent.md (Prioritize Recommendations & Output sections)
**Status:** Active

## Source & license

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

- **Author:** [fourteenwm](https://github.com/fourteenwm)
- **Source:** [fourteenwm/ppc-ai-skills](https://github.com/fourteenwm/ppc-ai-skills)
- **License:** MIT

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-fourteenwm-ppc-ai-skills-lead-quality-recommendation-prioritization
- Seller: https://agentstack.voostack.com/s/fourteenwm
- 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%.