Define lead quality
Agree what counts as MQL, SQL, opportunity and rejected lead before evaluating campaigns.
PPC Audit
A B2B PPC audit should verify whether paid media is creating qualified sales conversations, not only whether campaigns have acceptable CPC, CTR or platform conversion numbers.
Short answer
Audit B2B PPC by checking conversion definitions, search terms, audience targeting, landing-page relevance, budget allocation, lead quality and sales feedback. The goal is to find waste and decide what to scale, rebuild or pause.
Key takeaways
01
A PPC audit is not a hunt for small interface mistakes. In B2B, the real question is whether paid media is buying the right attention and turning it into useful conversations.
The audit should connect platform data with landing-page behavior and sales feedback. A campaign that looks efficient inside Google Ads may still be wasteful if sales rejects most leads.
02
The audit should separate symptoms from causes. Low conversion rate may be a landing-page problem, an intent problem or a tracking problem. High CPL may be acceptable if conversations are strong.
A practical audit does not stop with findings. It ranks actions by expected impact and implementation effort.
| Audit area | What to check | Why it matters |
|---|---|---|
| Conversion tracking | Forms, calls, CRM stages, consent and duplicate events | Bad data trains bad optimization |
| Search terms | Queries triggering ads and negative keyword gaps | Search waste is often hidden in broad matching |
| Audience targeting | Roles, industries, exclusions and overlap | Wrong audience makes CPL meaningless |
| Landing pages | Message match, proof, form depth and speed | Paid traffic needs a page built for intent |
| Budget allocation | Spend by segment, market, device and campaign | Budget should follow qualified demand |
| Reporting | Lead quality, rejected reasons and pipeline | Platform metrics alone cannot decide scale |
03
Start with business context before opening the ad account. The reviewer needs to know target customers, margins, sales cycle, service priority and what counts as a good conversation.
Then move through the account, analytics, landing pages and sales records. The best findings usually appear where those systems disagree.
Agree what counts as MQL, SQL, opportunity and rejected lead before evaluating campaigns.
Check conversion actions, consent, duplicate events, CRM import and source-page context.
Review search terms, audiences, placements, exclusions and geographic fit.
Compare ad promise, page headline, proof, CTA, form fields and mobile performance.
Classify findings as quick wins, rebuild work, strategic tests or stop-loss decisions.
04
| Pattern | What it looks like | Fix |
|---|---|---|
| Wrong conversion goal | Campaign optimizes for downloads or weak forms | Create conversion hierarchy |
| Broad intent drift | Queries are related but not buyer-ready | Tighten keywords and negatives |
| Homepage traffic | Paid clicks land on generic pages | Build segment landing pages |
| Audience bloat | LinkedIn targeting includes too many roles or industries | Narrow ICP and exclusions |
| No sales loop | Marketing cannot explain lead rejection | Add sales review cadence |
05
FAQ
It is a structured review of paid media tracking, traffic quality, landing pages, lead quality, budget allocation and reporting.
Run a light review monthly and a deeper audit every quarter or before major budget increases.
Yes. Landing pages often explain why campaigns produce clicks without qualified conversations.
Cost per qualified conversation and later pipeline are more useful than CPC or raw CPL alone.
Prioritize quick fixes, rebuild weak structures, pause waste and define controlled tests for the next cycle.
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We can review account structure, landing pages, tracking and sales feedback to find what should scale or stop.