OndaClick (real case — data altered under NDA) is a digital marketing agency in Lisbon with 9 team members managing Google Ads, Meta Ads, LinkedIn Ads and email marketing campaigns for 18 active clients. Every month, the team spent the entire last week preparing performance reports — manually opening each advertising platform, exporting data, pasting it into PowerPoint slides and writing analyses. The CEO calculated: "We are spending 35 hours per month on reports alone. Those are hours we could invest in optimising campaigns and delivering better results for clients."
The Diagnosis: An Agency That Works to Report, Not to Perform
OndaClick's problem is universal across digital marketing agencies. The sector is obsessed with metrics — impressions, clicks, CTR, CPC, CPA, ROAS, conversion rate — but ironically spends a disproportionate amount of time compiling those metrics instead of acting on them.
The audit revealed a painfully manual reporting process. Each account manager was responsible for their clients' reports (4 to 5 each). The process for a single monthly report included: accessing Google Ads and exporting data by campaign; accessing Meta Ads Manager and doing the same; accessing Google Analytics for website data; accessing the email marketing platform for newsletter metrics; compiling everything into a PowerPoint template with 15 to 25 slides; manually cross-referencing data to calculate overall ROAS (return on total advertising spend); writing analyses and recommendations; sending by email to the client.
Average time: 2 hours per report. With 18 clients, the total was 36 hours per month — nearly an entire working week for one person. And that was without counting revisions, client questions about the data and ad-hoc reports requested mid-month.
Beyond reports, the agency had no reliable timesheet system. Team members recorded hours inconsistently, which meant the agency did not truly know the profitability of each client. Clients paying EUR 1,500/month could be consuming more hours than clients paying EUR 3,000/month — but without reliable data, it was impossible to make informed decisions about pricing or resource allocation.
Metrics Before the Transformation
• Monthly hours on reports: 35–40 hours
• Time per monthly report: ~2 hours
• Reporting frequency to clients: monthly (due to lack of capacity)
• Time between problem detection and reaction: days to weeks
• Clients with real-time visibility: 0%
• Known profitability per client: vague estimate
• Annual churn rate: 33% (6 out of 18 clients)
The Solution: Multi-Channel Dashboard and Automated Reporting
1. Real-Time Multi-Channel Dashboard
We implemented a dashboard platform that connects directly to the APIs of all advertising platforms used by the agency: Google Ads, Meta Ads, LinkedIn Ads, Google Analytics 4, Mailchimp and HubSpot. Data is synchronised automatically every hour, without any manual intervention.
Each client has a customised dashboard with the metrics most relevant to their business. An e-commerce client sees ROAS, generated revenue, cost per acquisition and average order value. A B2B services business sees leads generated, cost per lead, qualification rate and the sales pipeline fed by marketing. Data is presented with time comparisons (previous month, same month of the previous year), industry benchmarks and trend indicators.
The dashboard has three access levels: the client sees only their own data in a clean, intuitive interface; the account manager sees all their clients with anomaly alerts; and the agency leadership sees the consolidated view of all clients with profitability indicators.
Automated alerts are a critical component. If a campaign's CPC rises more than 20% in a day, if the daily budget is being spent before 2pm, if the conversion rate drops below a defined threshold or if an ad is disapproved — the account manager receives an immediate notification. This enables intervention within hours, rather than discovering the problem in the monthly report, when budget has already been wasted for weeks.
2. Automated Reports with Intelligent Narrative
Monthly reports are no longer prepared manually. The system automatically generates a professional PDF report for each client, with the agency's layout and branding. The report includes: an executive summary with key KPIs, analysis by channel (Google, Meta, LinkedIn, email), analysis by campaign, time-series trends with charts and a comparative table against the previous month.
The feature most valued by account managers is the automatic narrative. The system automatically identifies the most significant variations — "Google Ads CPA dropped 18% this month, driven by campaign X which had a CTR 2.3x above average" — and generates analytical paragraphs that the account manager can edit, supplement or approve as they are. Instead of writing reports from scratch, the account manager reviews and enriches a document that is already 80% complete.
Report preparation time: from 2 hours to 15–20 minutes (review and addition of strategic insights only).
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Discover Dashboards & Analytics →3. Timesheet System and Profitability per Client
We integrated a time-tracking system that each team member uses daily. Recording is straightforward: select the client, the task (campaign management, content creation, design, meeting, reporting) and start the timer. At the end of each month, the system cross-references the hours dedicated to each client with the contract value and generates a profitability indicator.
The results were revealing. Two clients paying EUR 1,200/month were consuming more hours than a client paying EUR 3,500/month — meaning the agency was losing money on them. With concrete data, the CEO renegotiated the contracts: one client accepted a 40% increase, the other left — but the agency became more profitable without them.
The system also revealed that 22% of the team's time was spent on non-billable administrative tasks (internal meetings, training, tool management). This finding motivated the automation of additional internal processes and a review of the meetings policy.
The Implementation: 6 Weeks of Configuration
Weeks 1–2: Integrations and data. We connected all advertising and analytics platforms via API. We defined the relevant KPIs for each client and configured the dashboard templates.
Weeks 3–4: Dashboards and alerts. We created the customised dashboards for each client, configured the anomaly alerts and defined thresholds by campaign type and sector.
Week 5: Automated reports. We configured the report templates, the automatic narrative modules and the sending schedule. We tested with real data from the past 3 months to validate accuracy.
Week 6: Timesheet and training. We implemented the time-tracking system, trained the team and launched the dashboards to clients with individual presentation sessions.
The Results: Before vs. After
After four months of operation, the numbers speak for themselves.
• Monthly hours on reports: from 35–40 to 5–6 hours (-85%)
• Time per monthly report: from 2 hours to 15–20 minutes
• Reporting frequency: from monthly to real-time (dashboard always accessible)
• Time between problem detection and reaction: from days/weeks to hours
• Clients with real-time visibility: from 0% to 100%
• Average client ROAS: 28% increase (more time for optimisation)
• Annual churn rate: from 33% to 11%
• New clients in the first 4 months: 5 (referred by existing clients)
The Impact on Churn and Client Acquisition
The most transformative result was not the time saving — it was the churn reduction. With real-time dashboards, clients no longer felt they were "in the dark" between monthly reports. Constant transparency built trust, and trust reduced the temptation to look for another agency.
Additionally, the dashboards became a powerful sales tool. When OndaClick shows a potential client the kind of visibility they will have over their advertising investment, the difference compared to agencies sending monthly PDFs is immediate and visceral. Five new clients were won in the first four months, all referred by existing clients who shared screenshots of their dashboards with colleagues at other companies.
The time recovered — approximately 30 hours per month — was reinvested in campaign optimisation. The result: average client ROAS rose by 28%, because account managers shifted from "reporting results" to "improving results". This performance improvement reinforced client satisfaction, creating a virtuous cycle of retention and growth.
Conclusion
Digital marketing agencies sell results, but spend an irrational portion of their time documenting those results instead of improving them. The monthly PowerPoint report — that ritual of copying and pasting data from five different platforms to create 20 slides that the client flicks through in 3 minutes — is an anachronism that costs time, money and, ultimately, clients.
OndaClick demonstrated that reporting automation is not merely an operational improvement — it is a retention and growth strategy. When clients see their data in real time, they trust the agency more. When the agency spends less time reporting and more time optimising, results improve. When results improve and trust grows, clients stay longer and refer new clients. It is a self-reinforcing cycle, and the catalyst is the right technology applied to the right problem.
