Search "marketing audit example" and the first page is mostly slide decks. Blank boxes for "SEO score," blank boxes for "social sentiment," a color-coded scorecard with nothing in the cells yet. Download one, and you have a structure to fill in yourself, not an example of what a finished audit actually looks like.
That gap causes a specific, avoidable mistake. A founder or marketing lead evaluating whether to pay for an audit looks at these templates, concludes an audit is just a checklist exercise anyone could run internally in an afternoon, and either skips it or buys the wrong scope. Neither decision holds up once you see what a real, delivered audit report contains.
Why the generic example does not help you
Andy Crestodina's own analysis at Orbit Media has repeatedly found that roughly three-quarters of client Google Analytics accounts are misconfigured in some way, usually in ways that look completely normal on the surface. That is the problem a checkbox template cannot catch. "Review conversion tracking: yes/no" tells you nothing about whether the conversion count behind that checkbox is real.
A generic template also treats every finding as equally weighted, one line for tracking, one line for SEO, one line for social. In practice, a tracking finding invalidates everything measured downstream of it. If the purchase count is wrong, every other line on the template is being judged against a broken instrument. Our digital marketing audit breakdown covers why that ordering problem matters; this post is about what the actual deliverable looks like once you get past the ordering question.
What a real audit example actually contains
Four things separate a delivered audit report from a template, and all four should be visible in any sample you are shown before you buy.
A finding stated as a fact, not a category
A template says "review event tracking." A real finding says something specific enough to act on: which event, which platform, what it is currently doing wrong, and since when. Specificity is the tell that someone actually looked, rather than listing the areas a good marketer should check.
Evidence attached to the finding
Every real finding carries proof: a screenshot of the actual setting, a percentage calculated from the account's own data, a tag ID, an audience name and its last-updated timestamp. Google's documentation on GA4 key events explains how a recommended event can silently lose its machine-learning benefits if it is missing required parameters; a real audit finding would name the specific event, show the missing parameter, and cite that mechanism, not just flag "conversion setup incomplete."
A reconciliation step
A generic template checks settings inside one platform. A real audit report compares what a platform claims against a second, independent source, GA4 against Google Ads, Meta against the store's own order export, blended revenue against blended spend. The reconciliation is where the expensive findings live, because a single platform will never disagree with itself.
A ranked fix list, not a flat one
The report should end with fixes ordered by revenue impact and effort, not a bulleted list in the order the auditor happened to notice them. If every recommendation reads with equal urgency, the report has not done the prioritization work a paying client is buying.
Two real findings, to show what "evidence" means in practice
These are anonymized examples from delivered work, not a hypothetical illustration, which is exactly the distinction a template cannot offer.
Tracking. A funnel's single Google tag was firing to two separate GA4 data streams at once. Every visit counted twice: roughly 342,000 page views recorded per stream in 28 days for traffic that was, in reality, half that. In the same property, GA4 reported around 526,000 "conversions" over 90 days against $0 in recorded revenue, because session_start and user_engagement had been marked as key events while the real purchase event never fired at all. That finding does not show up on a "review conversion tracking: yes/no" checkbox. It shows up when someone reconciles the event count against what the business actually sold.
Reporting. In a separate reconciliation, summed platform-attributed revenue across ad accounts exceeded the store's own recorded revenue by roughly 40% for the same window, and the same order IDs turned up inside more than one platform's conversion export. Each platform's dashboard looked internally consistent. Only the reconciliation against the store's own numbers surfaced the double-count. Our ecommerce reporting audit piece walks through that reconciliation step in more depth if you want the full checklist.
CRO and paid media findings follow the same evidence pattern, a specific number tied to a specific mechanism rather than a general observation, and the full samples are viewable directly: tracking, CRO, paid media, and reporting.
What varies between audit types
The format above holds across tracking, CRO, paid media, and reporting audits, but the evidence itself looks different in each:
- A tracking audit's evidence is mostly event counts, tag configurations, and dataLayer pushes.
- A CRO audit's evidence is funnel step conversion rates and session recordings tied to a specific page or flow.
- A paid media audit's evidence is deduplication rates, audience freshness, and feed approval status, cross-referenced across platforms. Meta's documentation on deduplicating pixel and server events is a useful primary source if you want to understand why that specific mechanism causes inflated conversion counts.
- A reporting audit's evidence is reconciliation tables comparing platform-reported numbers against store or CRM exports.
If a sample report mixes all four together into one generic scorecard, it is more likely a marketing document than an actual delivered engagement.
How to read a sample before you buy
Skim past the executive summary first. That section is written to be readable by anyone, which also makes it the easiest part to write without doing real work. Go straight to two or three individual findings in the body and check whether each one names a specific number, account, or event, and whether a fix is attached to it directly below. A report where the body reads as specifically as the summary is doing the job; one where the body just restates the summary in more words is not.
It is also worth checking whether the report reads clearly if you only read the finding headlines, skipping the supporting paragraphs. A well-written audit finding states its conclusion in the heading itself, in the style of the classic top-down business-writing approach used in management consulting: state the answer, then support it. If you have to read three paragraphs to find out what the actual problem is, the evidence may be there, but the report has not done the work of prioritizing it for you.
A real audit example, in other words, is not a nicer-looking template. It is proof that someone reconciled your numbers against reality and wrote down exactly what they found. The four sample reports, tracking, CRO, paid media, and reporting, show that format directly, and the fixed-price audit options list what each engagement costs and how long it takes once you decide which one your business needs first.
One caveat worth stating plainly: no two real audits look identical, because the findings depend entirely on what is actually broken in your specific setup. A sample report tells you the format and the depth of evidence to expect. It cannot tell you what your own report will say until someone actually looks.
