What automation is good at
Building a marketing report by hand is mostly copying. You log in to each ad platform, export a spreadsheet, paste it beside your sales figures, fix the date formats, convert currencies, and rebuild the same charts as last month. None of that needs judgment, and every manual step is a chance to paste the wrong column.
Software handles that part well. Hand it these jobs:
- Pulling spend and results from each platform, or from their exports.
- Pulling verified sales from your payment processor, store or CRM.
- Converting everything to one currency and lining up the dates.
- Building the same charts and tables in the same layout every time.
- Producing PDF and spreadsheet versions that agree with each other.
- Sending it to the same people on the same day.
Schedule reports after the data settles
Ad platform numbers are not final the moment a day ends. Google's data freshness page says clicks, impressions and cost are refreshed hourly, but Google Ads conversion tracking data takes about 3 hours to be ready under last-click attribution and about 15 hours under other attribution models. Conversions imported from Google Analytics take 12 and 24 hours.
Numbers can also change days later. The same page notes that some conversions happen several days after the first ad interaction, and that Google detects and removes invalid traffic, such as bot activity or accidental clicks, retroactively. Google Ads also reports conversions by the date of the ad click in its standard columns, so last Tuesday's figure can grow this Friday.
So do not schedule a daily report for 12:05 a.m. Send it mid-morning or later, and treat the last two or three days of any weekly report as provisional. For monthly client reports, wait a few days into the new month before you send.
- Clicks, impressions, cost1
- Ads conversions, last click3
- Ads conversions, other models15
- GA imports, last click12
- GA imports, other models24
Each bar is the number of hours Google lists before that data is ready; schedule reports after the slowest data you rely on.
Source: Google Ads Help
Use alerts for problems, reports for patterns
A weekly report is the wrong tool for a campaign that has spent its monthly budget by Wednesday. That needs an alert: a short message triggered when a number crosses a line you set. Good alert triggers include daily spend above plan, cost per verified sale jumping by a set percentage, conversions dropping to zero (often a broken tracking tag), and a sudden gap between what a platform claims and what your sales records show.
Keep alerts few and specific. If people get ten a day, they stop reading all of them, including the one that mattered.
What you still need to read yourself
Automation can tell you that cost per sale rose 30%. It cannot tell you that a competitor launched a sale, that your best product went out of stock, or that the website was down Saturday afternoon. A person has to connect the number to what happened in the business.
The risk with automated reports is that they arrive so reliably nobody opens them. In a 2022 Gartner survey of marketing analytics users, 26% said decision-makers did not review the data provided to them. An automated report that goes unread is worse than none, because everyone assumes someone else is watching.
- Check that the data is complete: no missing platform, no zero days that should not be zero.
- Compare platform claims against verified sales, and ask why if the gap moved. Our guide to reconciling ad data with your sales walks through this.
- Write two or three sentences on what changed and why, in plain English.
- Decide one action, even if the action is "leave it alone."
A simple setup that works
Start with one weekly report for yourself and one monthly report for whoever else needs it, such as a business partner or client. Add alerts for spend pacing and broken tracking. Review after a month and remove any section nobody looked at. Pick the KPIs that belong on your dashboard first, then automate those, not everything the platforms can export.
Matrix ROI, which Smith App Studio develops, schedules reports by email in PDF, Excel, CSV and JSON that agree with each other, and adds a plain-English morning briefing of what changed; the live demo shows both. Agencies can read more about turning automated output into client reporting they can stand behind.