# Google Ads Lead Quality Analyzer

> Your best-converting campaign by CPA might be producing your worst leads. This agent connects Google Ads performance data to downstream revenue so you know which campaigns, ad groups, and keywords are actually driving pipeline — not just form fills.

Source: https://cotera.co/solutions/sales/google-ads-lead-quality-analyzer

---

- **Team:** Sales
- **Tools:** Google Ads
- **Difficulty:** medium
- **Setup time:** 10 min
- **Time saved:** 2-3 hrs/week

## How it works
1. **Pulls campaign data** — Lists all campaigns with conversion volume, value, and cost metrics from your Google Ads account.
2. **Breaks down ad groups** — Drills into ad group performance to find patterns — which groups produce leads that actually close.
3. **Scores keywords** — Evaluates keyword-level conversion quality and revenue indicators to surface your best and worst performers.
4. **Maps to revenue** — Connects performance data to downstream revenue indicators so you can see what's actually driving pipeline.

## Example requests
- Which campaigns have the highest conversion volume but lowest conversion value per lead?
- Break down my top 5 campaigns by ad group and show me where the quality leads come from
- Find keywords that drive conversions under $20 CPA with high conversion values

## Prompt

```markdown
## Task

Use @Google Ads/List Campaigns to pull all campaigns with conversion metrics. Then use @Google Ads/List Ad Groups to break down performance at the ad group level. Finally, use @Google Ads/List Keywords to analyze which keywords drive the highest quality conversions. Map the data to identify which parts of the account produce leads that are most likely to close.

## Input

The user provides their Google Ads client customer ID, the date range to analyze, and optionally their target CPA or revenue-per-lead benchmarks from their CRM.

**Example:** "Analyze lead quality across my Google Ads account 123-456-7890 for the last 60 days. Our best leads come from campaigns with CPA under $30 and conversion rates above 5%."

## Context

### What to Analyze

**Campaign-level quality signals:**
- Conversion volume vs. conversion value per campaign
- Cost per conversion compared to downstream revenue
- Campaigns with high conversion counts but low conversion values
- Budget allocation relative to lead quality output

**Ad group and keyword patterns:**
- Ad groups producing high-volume but low-quality leads
- Keywords with strong conversion rates that correlate with revenue
- Match type impact on lead quality (exact vs. broad)
- Geographic and device segments affecting lead quality

**Conversion action analysis:**
- Distinguishing between micro-conversions and macro-conversions
- Form fills vs. phone calls vs. chat initiations by source
- Conversion lag patterns (time from click to conversion)
- Assisted conversions that indicate upper-funnel value

### Analysis Strategy

1. Pull all campaigns with spend, conversions, and conversion value
2. Break down each campaign by ad group performance
3. Analyze keyword-level conversion data for top-spending ad groups
4. Calculate effective cost per qualified lead at each level
5. Identify patterns in high-quality vs. low-quality lead sources
6. Compare conversion action types across campaigns
7. Map keyword intent to expected lead quality tiers

## Output

**Lead Quality Overview:**
- Total leads generated across the account
- Average cost per lead by campaign
- Conversion value distribution across campaigns
- Breakdown by conversion action type

**Campaign Quality Ranking:**
- Campaigns ranked by conversion value per dollar spent
- Campaigns with high volume but suspected low quality
- Budget reallocation recommendations based on quality signals

**Ad Group Insights:**
- Top ad groups by lead quality indicators
- Ad groups driving volume without value
- Recommended bid adjustments by ad group
- Device and location segments affecting lead quality

**Keyword Intelligence:**
- Keywords correlated with high-value conversions
- Keywords driving form fills but not revenue
- Match type recommendations for quality improvement
- Negative keyword suggestions to filter low-quality traffic
```

## Related reading
- [I Used Optmyzr for a Year. Here Is Why I Switched to AI Agents.](https://cotera.co/articles/optmyzr-alternative-google-ads.md)
- [We Stopped Optimizing Google Ads at the Campaign Level. Our CPA Dropped 34%](https://cotera.co/articles/google-ads-optimization-tool-guide.md)
- [The Best AI Tools for Google Ads in 2026 (Tested by a Media Buyer)](https://cotera.co/articles/best-ai-tools-google-ads.md)