Paid Media Audit Checklist: Is Your Agency Doing Its Job?

If your paid media program has been running for six months or more, you should be able to answer these questions with specificity: What is your cost per acquisition by channel? What is your best-performing creative concept and why? What has been tested and what have those tests taught you?

If you cannot answer them — or if your agency cannot answer them clearly — a structured audit will surface where the performance gaps are and whether they are fixable.

This checklist covers the eight areas that a thorough paid media audit examines. Use it to evaluate your current program, pressure-test an agency before renewing a contract, or establish a baseline before bringing on a new agency.

1. Campaign Structure and Account Architecture

Poor campaign structure is one of the most common sources of hidden underperformance. It is also one of the easiest to hide in reporting that focuses on aggregate metrics.

Questions to ask:

• Are campaigns structured to isolate budget allocation by objective (awareness vs. conversion) and audience segment?
• Are ad groups or ad sets segmented tightly enough to enable meaningful creative testing?
• Are budget allocation decisions being made at a level that produces actionable data, or is everything pooled in ways that obscure which components are working?
• Is the campaign naming convention consistent and meaningful, or was it built incrementally without a logical structure?

What bad looks like: campaigns with hundreds of keywords across multiple intent levels in a single ad group, or ad sets mixing audiences so broadly that creative performance cannot be isolated.

What good looks like: clear hierarchical structure where each campaign corresponds to a business objective, each ad set isolates an audience segment, and each ad tests a specific creative variable.

2. Conversion Tracking and Attribution Setup

Attribution errors are expensive. They direct budget toward campaigns that appear to be working while starving campaigns that are actually driving revenue but not getting credit.

Questions to ask:

• Are all conversion events firing correctly? Run a test conversion and verify it appears in the ad platform and in your analytics.
• Is the attribution window appropriate for your sales cycle? A 7-day click window will miss conversions from buyers who take longer.
• Are conversion events deduplicated? The same conversion being counted in multiple places inflates conversion numbers and distorts CAC calculations.
• Are offline conversion events (closed deals, subscription starts) being imported back to ad platforms for optimization?
• Is UTM tagging consistent across all campaigns? Broken UTMs produce dark traffic that cannot be attributed.

What bad looks like: attribution that relies entirely on in-platform last-click data without any cross-channel view, conversion tracking that has not been audited since initial setup, missing UTMs on a significant percentage of paid traffic.

What good looks like: multi-touch attribution model with documented logic, verified conversion event firing, consistent UTM structure, and offline conversion data flowing back to ad platforms for optimization.

3. Audience Targeting and Segmentation

Audience quality is a primary determinant of paid media efficiency. Broad or poorly defined targeting spends budget on impressions that will never convert.

Questions to ask:

• Are audience segments defined precisely enough to test different messages for different buyer profiles?
• Are you using first-party data (customer lists, CRM segments, website visitors) to build lookalike audiences and retargeting lists?
• Are exclusion lists configured to prevent showing ads to existing customers, churned users, or irrelevant segments?
• How frequently are audience segments refreshed? Audiences built on 90-day data windows may have significant decay.

What bad looks like: single broad audience with no segmentation, no exclusion lists, no retargeting infrastructure, and no use of first-party data for lookalike modeling.

What good looks like: segmented audiences by funnel stage, buyer profile, and product engagement level; exclusion lists configured; retargeting audiences built for trial, activation, and conversion stages; first-party data used for both exclusions and lookalike expansion.

4. Creative Performance and Testing Cadence

Creative saturation — declining performance as audiences become overexposed to the same ads — is the most common cause of paid media plateau. Most agencies under-invest in creative refresh relative to what performance requires.

Questions to ask:

• What is the current creative refresh cadence? How frequently are new concepts introduced?
• What is the testing methodology? Are creative variables isolated or tested in combinations that produce ambiguous results?
• What has the creative testing learned in the past 90 days? What concepts won, what lost, and what drove the difference?
• What is the frequency cap on current campaigns? High frequency on the same creative is a signal of saturation.
• Is creative development in-house at the agency or outsourced?

What bad looks like: the same creative assets running for more than 60 days without refresh, no documented testing log, inability to name a clear creative winner from the past quarter.

What good looks like: systematic creative testing matrix with isolated variables, documented learnings from tests, clear refresh triggers based on frequency and performance decline signals, and production pipeline maintaining a queue of new concepts.

How strong agencies approach paid media creative production covers this in more detail, including what a healthy creative testing rhythm looks like.

5. Bid Strategy and Budget Allocation

Bid and budget decisions determine where your money goes. Poor bid strategy can produce technically well-structured campaigns with systematically poor economics.

Questions to ask:

• What bid strategy is being used for each campaign, and does it match the campaign objective and conversion volume?
• Are manual and automated bidding being used appropriately? Automated bidding (Target CPA, Target ROAS) requires minimum conversion thresholds to function well — below those thresholds, manual bidding often outperforms.
• How is budget allocated across campaigns? Is there a strategic logic or is it historical inertia?
• Are dayparting or device bid adjustments being used, and are they based on performance data or assumptions?

What bad looks like: Target CPA bidding on campaigns with fewer than 30 conversions per month, budget allocation unchanged from initial setup without performance-based reallocation, no bid adjustments despite clear performance differences by device or time of day.

What good looks like: bid strategy matched to conversion volume and objective, regular performance-based budget reallocation, and bid adjustments grounded in actual performance data.

6. Landing Page and Conversion Rate Analysis

Driving traffic to poor landing pages is one of the most efficient ways to waste paid media budget. An audit should examine whether the agency is treating landing page performance as part of their responsibility or ignoring it entirely.

Questions to ask:

• What is the landing page conversion rate for each campaign? Has it been measured and benchmarked?
• Are there variant landing pages being tested against the primary? What has that testing produced?
• Is the message consistency between ad and landing page audited? Mismatched messaging is a primary source of conversion drop-off.
• Is the agency providing landing page recommendations, or treating conversion as outside their scope?

What bad looks like: agency driving traffic to a single landing page without conversion rate analysis, no message consistency review, landing page tests never run or inconclusive because test duration was too short.

What good looks like: documented landing page conversion rate by campaign and variant, active testing with statistically meaningful duration, and message consistency audited as part of creative QA.

7. Reporting Quality and Decision Orientation

A reporting document that is dense with metrics but thin on actionable conclusions is not useful. Reporting should tell you what changed, why, and what decision that implies.

Questions to ask:

• Does the monthly report include a recommendation, or just numbers?
• Are the metrics in the report the ones that matter for your business — CAC, trial-to-paid conversion, payback period — or generic platform metrics like impressions and click volume?
• Is there a consistent reporting framework, or does the report change format regularly in ways that prevent trend comparison?
• Can you access raw data directly, or is all data mediated through agency-controlled dashboards?

What bad looks like: reports that lead with impressions and clicks, no recommendations, and changing formats that prevent historical comparison.

What good looks like: business-outcome metrics prominently featured, month-over-month trend analysis, explicit recommendations with rationale, and direct data access for independent verification.

8. Strategic Review Cadence

Paid media that runs on autopilot without regular strategic review gradually drifts from business priorities. The cadence and quality of strategic engagement tells you whether you have a partner or a vendor.

Questions to ask:

• How often does the agency hold strategy reviews separate from reporting calls?
• When did the agency last proactively recommend a change to channel mix, bidding approach, or creative direction based on their observation of your business?
• Does the agency understand your product, buyer, and growth stage well enough to give strategic counsel — or do they only know the ad account?

What bad looks like: monthly calls limited to reviewing last month's metrics, no proactive recommendations, inability to connect paid performance to broader business context.

What good looks like: quarterly strategy reviews that examine channel mix and budget allocation, proactive recommendations when the agency observes opportunities or risks, and an account team that knows your business well enough to connect paid performance to pipeline and revenue outcomes.

Understanding what a paid media agency should do at your stage helps contextualize what standard this audit should hold the agency to.

Frequently Asked Questions

How Often Should a Paid Media Program Be Audited?

A lightweight ongoing audit — checking conversion tracking, creative frequency, and budget allocation — should happen monthly. A comprehensive audit covering all eight areas is appropriate quarterly or when the program is significantly underperforming, a new agency is being considered, or the business is entering a new growth phase.

What Is the Most Common Finding in a Paid Media Audit?

Creative saturation and attribution gaps are the two most common findings. Creative saturation — the same ads running for too long without refresh — produces gradual performance decline that is easy to miss in monthly reporting. Attribution gaps — broken UTMs, misconfigured conversion events, or inappropriate attribution windows — produce systematically misleading data that drives poor allocation decisions.

Who Should Conduct a Paid Media Audit?

An independent third party — either a consultant or a new agency being evaluated — produces the most objective audit. Self-auditing by the current agency has obvious limitations. If budget does not allow for an external audit, a structured internal review using this checklist, with direct ad account access, is better than no audit at all.

What Should Happen After a Paid Media Audit?

The audit output should be a prioritized list of issues by severity and impact, with specific remediation steps for each. Issues affecting attribution accuracy should be fixed first — everything else depends on measurement being correct. Creative and structural issues typically follow. Report quality and strategic engagement issues indicate whether the agency relationship itself should be reconsidered.

Key Takeaways

• Campaign structure problems are common and often hidden by aggregate reporting — audit at the ad set and ad group level, not just the campaign level.
• Attribution errors are the most expensive audit finding because they distort every other decision; verify conversion tracking fires correctly and attribution windows match your sales cycle.
• Creative saturation is the most common cause of paid media plateau — ask for the testing log and verify new concepts are being introduced at the right cadence.
• Bid strategy should be matched to conversion volume: automated bidding underperforms on campaigns with insufficient conversion data.
• Reporting quality tells you whether the agency is providing strategic value or just running campaigns — require business-outcome metrics and actionable recommendations.
• A proactive agency makes recommendations before problems surface in reporting; reactive agencies wait to be asked.