The situation
A five-person digital marketing agency in Newcastle was managing 14 active clients, all with a weekly reporting commitment as part of their retainer agreements. The account team was spending roughly three days a month pulling campaign data from Google Ads, Meta Ads Manager, and Google Analytics 4, then copying those figures into Google Slides templates for each client.
Every report required logging into multiple platforms, exporting CSVs, and cross-referencing date ranges to make sure the numbers aligned. With 14 clients, each on slightly different reporting cycles and with different metric priorities, the process was error-prone. A number transposed between platforms or a currency format inconsistency could sit unnoticed until a client queried it. The account team was talented at strategy and creative work; three days a month spent on data extraction was not where they added value.
The flow we built
Make.com now runs the full pipeline on a Monday morning schedule:
- Daily data snapshots pull from each client's Google Ads account, Meta Ads account, and GA4 property via official API connections, landing in a shared Google Sheets data warehouse with one tab per client.
- Client-specific Looker Studio reports read directly from their Sheet tab, refresh automatically each Monday morning, and render with the agency's branded colour scheme and logo.
- Make.com exports each Looker Studio report as a branded PDF and emails it to the relevant client contact, with a one-line summary of the headline numbers in the email body.
- The account team reviews the sent reports and adds any strategic commentary in a reply email, which takes about an hour across the full client list.
The weekly meeting to review data before sending reports was decommissioned in the second month.
The platforms
Google Ads, Meta Ads, and GA4 for source data via their respective APIs. Google Sheets as the central data warehouse. Looker Studio for report rendering and branded PDF export. Make.com for scheduling, API calls, and email delivery. The agency is on an Advanced Bot Care tier given the volume and number of API connections involved. When Meta updated their Marketing API versioning requirements earlier this year, the connectors were updated before any reports were affected.
The results
The 22 hours of monthly reporting admin dropped to about one hour of QA and commentary work. The account team gained back the equivalent of three billable days a month, which they applied to strategy work that clients valued more. Report delivery became consistent: every client receives their PDF on Monday morning, every week, without a team member remembering to send it.
The less obvious result was quality. Because the data feeds directly from the source platforms without manual copying, transcription errors stopped. Clients stopped querying numbers. The reports became something the agency was proud to send rather than something they had to get through.
What this could look like for your marketing agency
If your account team is spending reporting days on data extraction rather than strategy, the pipeline above adapts well to most agency tool stacks. We have built versions for agencies running Google Analytics Universal, HubSpot, Semrush, and ActiveCampaign alongside the standard Ads platforms.