Which PPC Metrics Should You Actually Report On?

Home / PPC News / Which PPC Metrics Should You Actually Report On?
Jordan Bush
20 July 2023
Read Time: 7 Minutes
Article Summary

Most PPC reports contain an abundance of numbers but a shortage of actionable insight. A dashboard displaying impressions, clicks and click-through rate may appear comprehensive, but none of those metrics answer the question that business leadership genuinely needs answered: is this advertising g…

Key Takeaways

Which PPC Metrics Should You Actually Report On?

Most PPC reports have too many numbers and too little insight. A dashboard full of impressions, clicks and CTR looks comprehensive, but none of those metrics answer the question leadership actually cares about: is this advertising generating profit? The metrics worth reporting connect ad spend to business outcomes. Everything else is supporting context or distraction.

At Gorilla Marketing, we build PPC reports around the numbers that drive decisions, not the ones that fill slides. Our reporting for Google Ads and paid social campaigns focuses on what the data means for the business. This guide covers which metrics deserve prominent placement in your reports and which belong in the appendix.

The Metrics That Drive Decisions

Cost Per Acquisition (CPA)

CPA is the most important metric for most PPC campaigns. It answers: how much did it cost to acquire each customer or lead?

CPA = Total Ad Spend / Number of Conversions

If CPA sits below your target (derived from customer lifetime value or average deal size), the campaign works. If it’s above, something needs fixing. CPA cuts through click and impression noise to measure cost of results.

Limitation: CPA treats all conversions equally. A $15 lead and a $50,000 deal both count as one. For variable deal sizes, ROAS or cost per qualified opportunity tells the real story.

Return on Ad Spend (ROAS)

ROAS = Revenue from Ads / Ad Spend

A 4:1 ROAS means $1 spent generates $4 in revenue. It’s the primary metric for e-commerce and any campaign tracking revenue directly. ROAS accounts for deal size where CPA doesn’t.

Limitation: ROAS measures revenue, not profit. A 400% ROAS with 20% margins means $0.80 profit per $1 spent. Factor product costs, fulfillment and overhead before drawing conclusions. If you’re reporting ROAS to a CFO, showing the margin-adjusted number alongside the raw figure builds credibility.

Conversion Rate

Conversion Rate = Conversions / Clicks x 100

Tells you whether landing pages and offers work. High CTR with low conversion rate points to a post-click problem, usually the landing page, the offer, or audience targeting.

Industry benchmarks vary significantly. Search campaigns for high-intent keywords might convert at 5 to 10%. Display campaigns often sit at 0.5 to 1%. Compare to your own historical rates and category benchmarks, not arbitrary standards. A 3% conversion rate is strong for some verticals and weak for others.

Cost Per Click (CPC)

CPC is a means metric, not an outcome metric. A $0.50 CPC producing zero conversions is worth less than a $5 CPC converting at 10%. Report for context and budget planning, never optimize in isolation.

Where CPC matters most: Brand campaigns where you want to monitor competitive bidding pressure, and budget forecasting where you need to estimate reach for a given spend level.

Context Metrics

Click-Through Rate (CTR)

CTR indicates ad relevance and copy quality. It factors into Quality Score. But high CTR with low conversion rate means you’re attracting the wrong clicks or your landing page isn’t delivering. Report as diagnostic, not performance measure.

Impression Share

Percentage of eligible impressions captured. Breaks down into two components:

Lost to budget: You’re not spending enough to capture all available impressions.

Lost to rank: Your ad rank (bid x quality) isn’t competitive enough.

Valuable for headroom analysis: a profitable campaign at 60% impression share has 40% untapped opportunity. If the constraint is budget, you know exactly where additional spend will generate returns.

Quality Score

1-10 rating of keyword, ad and landing page relevance. Keywords below 5 pay a CPC premium; those above 7 typically get a discount. Report distribution periodically to track account health trends.

Top of Page Rate

Since Google removed average position, top of page rate and absolute top of page rate have replaced it. These show how often your ads appear at the top of search results. Useful for competitive monitoring. Less useful for performance evaluation, since top position doesn’t guarantee the best CPA.

Metrics by Campaign Type

Metrics by Campaign Type

E-commerce

Focus: ROAS, revenue, CPA, average order value, conversion rate by product category. Report at the campaign and product level. Track ROAS trends weekly. Seasonal events like Black Friday, Prime Day and back-to-school periods can produce significant ROAS swings that need context in reporting.

Lead Generation

Focus: cost per lead, cost per qualified lead, lead-to-close rate, cost per acquisition. The gap between CPL and cost per qualified lead is where reporting typically falls short. A cheap lead that never closes isn’t cheap. It’s waste.

Integrate CRM data where possible: MQL-to-SQL rate, pipeline generated, revenue closed from PPC. This is where analytics and tracking integration pays for itself. The difference between reporting “200 leads” and “200 leads that generated $85,000 in pipeline” is the difference between a data dump and business intelligence.

Brand Awareness

Focus: reach, frequency, impression share, CPM, view-through conversions. Don’t judge awareness campaigns on direct-response CPA. That’s the wrong measurement framework for the objective.

Performance Max

PMax reporting requires a different approach because Google controls placements across Search, Display, YouTube, Discover, Gmail and Maps. The standard campaign-level metrics still apply, but dig into asset group performance to understand which creative combinations work.

Key PMax-specific metrics: asset performance ratings (best, good, low), search term insights (the Insights tab shows which queries PMax serves for), new vs returning customer split (if configured), and channel breakdown (which network drives the conversions). Watch whether PMax is cannibalizing brand campaigns. If most PMax conversions come from branded searches, the campaign may be claiming credit for traffic you’d get anyway.

Attribution Windows and Reporting Accuracy

Google Ads default attribution window is 30 days for clicks and 1 day for view-through. These defaults work for impulse purchases but underreport for B2B or high-consideration products.

For lead gen with long sales cycles, extend the click window to 60 or 90 days. Otherwise conversions that happen in week five get attributed to “organic” or “direct” instead of the ad that started the journey.

Conversely, if you’re reporting ROAS on a 30-day window for a product with a 3-day purchase cycle, you’re counting conversions from clicks that happened up to 30 days ago. Shortening to 7 days gives a more accurate picture of current campaign performance.

One reporting nuance worth flagging: Consent Mode and enhanced conversions add modeled data that may inflate reported conversions by 15 to 20% compared to actual observed events. Cross-reference with CRM or backend data regularly to calibrate. If your reported CPA looks better than what sales is seeing, modeled conversions are likely the gap.

Report Structure That Drives Action

A good report answers three questions:

Is this working? (CPA/ROAS vs. target)

Why? (Conversion rate, CTR, Quality Score, search terms)

What should we do next? (Budget changes, campaign adjustments, tests)

Recommended structure:

Executive summary: 2-3 sentences. Performance vs. target. One key insight.

KPI dashboard: CPA, ROAS, conversions, spend. MoM and YoY comparison.

Campaign breakdown: Performance by campaign with primary metric flagged. Highlight under/outperformers.

Insights and actions: What changed, why, what to do about it. The section that separates useful reporting from data dumps.

Cadence:

Weekly: Quick KPI check. Flag anomalies.

Monthly: Full report with insights and recommendations.

Quarterly: Strategic review with trends, competitive context, budget planning for the next quarter.

Metrics to Deprioritize

Impressions alone. A million impressions with zero conversions isn’t success.

Clicks alone. Clicks cost money. Without conversions, they’re expense.

CTR as headline metric. It’s diagnostic, not a business outcome.

CPC as success metric. Low CPC means nothing without conversion context.

Put these in appendices or diagnostic sections, not the executive summary.

Connecting Platform Metrics to Revenue

The strongest PPC reporting bridges platform data and revenue data. That means integrating Google Ads with CRM, sales data, or transaction data to answer: how much revenue did PPC actually generate, and at what margin?

The difference: “We spent $10,000 and got 200 leads” versus “We spent $10,000 and generated $85,000 in pipeline, of which $35,000 closed.” The first statement invites questions. The second answers them.

If reporting currently stops at platform metrics, building the pipeline connection is the most valuable improvement available. Start with one integration point: push Google Ads click IDs into your CRM so you can match ad clicks to closed revenue. That single connection transforms reporting from activity tracking into ROI measurement.

One practical tip for making this work: use GA4’s conversion tracking to feed the same conversion events into both GA4 and Google Ads. This ensures consistent attribution across organic and paid reporting and makes channel comparison meaningful. The attribution model you choose for GA4 affects how credit is distributed between PPC and other channels, so understand the model before drawing conclusions about PPC’s contribution.

Gorilla Marketing builds integrated PPC reporting as part of our Google Ads and analytics work. Get in touch to discuss your reporting.

Jordan Bush
Jordan Bush is a paid media specialist and Head of Paid Media at Gorilla Marketing, with extensive experience managing high-performance campaigns across Google Ads, Microsoft Ads, and paid social. He specialises in data-led strategy, conversion rate optimisation, and scaling ad spend profitably across sectors including e-commerce, SaaS, legal, and professional services. Known for his analytical approach and attention to detail, Jordan focuses on maximising return on investment through continuous testing, audience refinement, and full-funnel campaign architecture.

Related Articles