Client reporting feels way more manual than it should… what slows you down the most?

Most agencies struggle with this because they try to automate everything when clients actually want strategic insights, not just data dumps. I've built automated data pipelines through Looker Studio and custom APIs that pull from all platforms, but the commentary is where the real value lives. For my larger accounts, I focus automation on data collection and spend my time on performance analysis and optimization recommendations... clients pay for thinking, not data entry. The manual part should be interpreting what the numbers mean for their business decisions. Template-based insights are usually obvious and don't justify agency fees... custom commentary about market changes, competitive shifts, and strategic pivots is what keeps clients long-term. Most successful reports I've seen automate the boring stuff but keep the strategic narrative completely human-driven.

Looker studio to pull data automatically and auto-send to clients. For notes, I had 10 years worth of manually written notes I had done for clients. I fed all of them to ChatGPT to train it up on my writing style and what to look for / comment on / recommend. Now all I do is feed the bot the data for any given month (and quick context on any changes we may have made that might influence data) and it’ll generate notes and action items for me. I spend a couple minutes reviewing and fine tuning before shipping the notes out to the client. Reports that used to take me an hour now take 10 minutes

I definitely agree with this. It feels like dealing with multiple tabs to pull data, exporting CSVs, and writing reports from scratch. For me, the dreadful part was data collection. I need to make sense of what I'm extracting or it feels like the entire day is wasted. So I tried to automate data collection and scheduling and tools like custom APIs and Two Minute Reports help me with this. I work on the strategy and commentary part manually - that's the place where I need to squeeze my brain. Automation can save time but recommeding next steps completely relies on how you translate those numbers effectively. So I feel a mix of manual + automation should work. The real balance lies in not spending too much time trying to figure out things manually, which will lead you nowhere.

None other than the write-up as we use Swydo. Data is automatically pulled in and formatted correctly for each client. I'd love to figure out how to get AI to prepare the performance summary. This would further cut down time to only the performance analysis, work summary, and plan for the upcoming month. Robust and timely reporting is critical for success with PPC.

Which platforms do you pull data from? I have a couple of Looker Studio templates that may help you

Use n8n or python with API access to pull from the platform run through AI and spot check. 5 minutes.

We use agency analytics auto report feature. $15/client per month. We integrate every Digital Touch point from web hooks to google sheets chat bots, call tracking, GA, GA4, GBP, Facebook et. Takes a half hour to set up then we try to be as hands off as possible. We run zoom recaps every month or 2 to review the data with the client to summarize the results.

We used to use Looker but SuperMetrics would always break. We tried a competitor, I can't recall the name, and things didn't get much more reliable. We eventually jumped Looker ship and moved over to ReportGarden. It's been much more reliable for us. We've used it for 2 years and I can count the times its broken...for 40 brands and weekly reporting...that's saying a lot! Insights are generally time time suck still and we're constantly evolving this part since nothing has really been a silver bullet yet.

u/Economy\_Western37 what platforms do you mostly work in? I have a simple app that pulls data from Facebook ads and Google ads if you want to try for free. End goal is to get these data displaying in a dashboard instead of pushing to Google Sheets

Absolutely, client reporting can really eat up time. For me, the biggest drain is pulling data from different platforms and then reworking everything to fit each client’s branding. Writing custom commentary takes time too I prefer it to sound authentic rather than robotic. Tools can help, but they’re often pricey or don’t flex enough for every client’s needs, so I end up doing a lot by hand to keep things personal. Automating would be great, but finding time to set it up especially with ongoing client changes is challenging. Have you found any tools that balance automation with customization?