Most agency owners have a vague sense that reporting takes "too long." Vague doesn't get budget approved. If you want to make the case for fixing it, whether that means hiring, automating, or just changing the process, you need an actual number. Here's how to get one, in about ten minutes, using data you probably already have.

I covered the industry-wide numbers in The Real Cost of Manual Agency Reporting. This post skips the averages and gets you your number.

The formula

It's four inputs multiplied together:

Hours per report × hourly cost of the person doing it × number of clients × 12 = annual cost of manual reporting

Simple on purpose. The hard part isn't the math, it's getting honest inputs for the first two variables. Most people underestimate both.

Step 1: Time the actual report, not the memory of it

Don't ask someone to estimate how long a report takes. Estimates run low, because people remember the fast reports and forget the ones that dragged. Instead, have whoever builds reports track their time for one full cycle, start to finish, on three or four different client accounts. Include every step: logging into ad platforms, exporting or copying data, reformatting it into your template, writing commentary, and any review or revision before it goes out. FluentHQ's audit of 104 agencies found reporting time splits roughly like this: 21% data extraction, 26% analysis, 20% report creation, 14% commentary, 9% data cleaning, 10% review and QA. If your own tracked number looks nothing like that split, something in your process is probably more broken than you think, usually the extraction or QA step.

60%

of reporting time, per FluentHQ's time-tracking study, goes to extraction, formatting, cleaning, and QA. None of it is the analysis clients are actually paying for.

Step 2: Count everyone who touches the report, not just the drafter

This is the step people skip, and it's the one that quietly doubles the real number. FluentHQ found that in 78% of agencies, at least three people touch each report before it goes to the client: someone pulls and drafts it, someone reviews it, someone else formats or QAs it against a template. If you only count the drafter's hours, you're undercounting your true cost by a wide margin. For step 2, add up the time every person spends on a single report, not just the primary owner. If a manager spends 20 minutes reviewing and a coordinator spends 15 minutes formatting, that's 35 minutes on top of whatever the analyst logged.

Step 3: Get an honest hourly cost

Use fully loaded cost, not salary divided by 2,080 hours. Fully loaded means salary plus payroll taxes, benefits, and overhead, roughly 1.25 to 1.4 times base salary for most small agencies. If you don't want to calculate that precisely, a reasonable shortcut is what you'd pay a contractor to do the same work. For most account managers and analysts at small agencies, that lands somewhere between $35 and $70 an hour. Use your real number if you have it.

Step 4: Multiply it out

Here's the formula with real numbers plugged in, using a mid-sized example:

3 hours × $50 × 15 clients × 12 months = $27,000 a year, spent on a task that produces no new revenue and that clients rarely mention unless something's wrong with it.

$27,000

a year is what a 15-client agency spends on manual reporting alone, at 3 hours per report and a $50 blended hourly rate. Run your own numbers, they'll likely be close.

Weekly reporting cadence instead of monthly? Divide the 12 in the formula by 4, effectively multiplying your monthly total by roughly 13 report cycles a year at weekly cadence, and the number gets uncomfortable fast. That's not a hypothetical. Alpomi's research puts the average analyst at 10 to 15 hours a week on reporting tasks across a client roster, which lines up with agencies running weekly or biweekly reports rather than monthly ones.

Sanity-check your number

If your total comes out far below what the research above suggests, you probably forgot step 2, the second and third set of hands on each report. If it comes out far above, check whether you're double-counting time that overlaps across clients, like a shared dashboard setup that isn't rebuilt per account. A number that's roughly in line with FluentHQ's and Alpomi's ranges, a few hours per client per month, scaled by your headcount, is usually the honest one.

Have your number? Let's see if you can cut it.

Bring your number to a free call and I'll show you what's realistic to automate versus what genuinely needs a human.

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What to do with the number

Once you have it, compare it against two things. First, what you'd pay to automate the extraction, formatting, and QA steps that eat the 60% of time FluentHQ identified as pure overhead. Second, what that freed-up time is worth if your team spent it on client strategy or new business instead of copy-pasting numbers into a template. Most agencies find the automation cost is a fraction of the labor cost it replaces, and that the bigger win isn't the dollars saved, it's what the team does with the hours back. That's the argument that gets budget approved: not "reporting takes too long," but "reporting costs us $27,000 a year and here's what fixing it is worth."

This is exactly the gap I built NarrateIQ to close. It connects to Google Ads and Meta Ads, pulls the data automatically, and writes the report, so the hours you just calculated go toward strategy instead of extraction and formatting. If you want to see what the output actually looks like before you talk to anyone, check the sample report.

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Written by Nick Diaz, founder of NarrateIQ. More about NarrateIQ →