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MTA Digital, a performance marketing agency with 70+ employees, uses Clockify to log time against client projects, compare hours and profit by project and by person, estimate how many specialists it will need in coming months, and send time data into Google Sheets through Clockify’s API. These details come from a Clockify customer story, a vendor-published account rather than an independent audit, so the workflow below is what the company reported, not a measured result.
Who MTA Digital is in the story
Clockify’s MTA Digital customer story describes the agency as an advertising-services and performance-marketing business that follows a “teal” approach, which the page explains as distributed authority with self-managed teams. Two people are quoted: Justyna Wasielewska, Office Manager, and Mateusz Mikołajczyk, COO. The page lists the company at 70+ employees and names two operational problems the agency faced: unexpected staff shortages and a lack of transparency. The page shows no publication date, so the headcount should be read as the figure the story reported at the time it was written.
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Logging time against projects
The workflow starts with time entries tied to projects. Employees record their hours against the project they worked on, and the account says users can control which data team members are allowed to see. Entries are marked as billable or non-billable, and cost rates are set so that the hours can later be converted into cost. Those three choices, the project tag, the billable flag and the cost rate, are what make the later reports useful. If an entry lacks a project or a billable status, it cannot contribute to the profitability and capacity views described below.
Reading project profitability
The story highlights Clockify’s Projects and Reports features. MTA Digital reviews time, cost and profit reports next to the income each project brings in. Wasielewska says the combination is the key benefit:
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“If you combine the data with projects and their incomes, it’s a super-powerful combo that allows you to dig really deep into data. As a result, we can better understand our business, manage teams, and find out which projects generate the most income.”
In practice, this means the agency can see which clients absorb many hours relative to what they pay, instead of judging projects by revenue alone. The story does not show the reports themselves or say how often they are reviewed.
Comparing planned and tracked hours for capacity
The second use is planning. According to the story, Clockify’s Team report shows hours tracked for each team member and for each project. The team also assigns planned hours to tasks, which lets it compare what was scheduled with what was actually logged.
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Wasielewska links this to hiring. By estimating each specialist’s monthly time and setting it against project demands, the team can see whether it may need new specialists in the coming months and how many. The page presents this as a planning practice. It does not publish forecast accuracy, so readers should treat it as a method the agency describes rather than a proven predictor.
Connecting time data to Google Sheets
For workflows beyond the app, the story says Clockify integrates with more than 100 apps and supports custom integrations through its API. Wasielewska names the API connection to Google Sheets, built with Google Scripts, as the integration most useful to the organization. Mikołajczyk says the connected process supports project profitability, client reports and payroll.
Mikołajczyk also lists the Chrome plugin and the integrations with Asana, Google Calendar and Gmail among the reasons the team chose Clockify. He cites price, support responsiveness, adjustability and a setting he quotes as “Do not allow saving time without…” as further reasons. The story does not describe the scripts, the data layout in the sheet, or any security configuration, so those details should not be assumed.
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The workflow at a glance
| Area | Clockify element named in the story | Reported use at MTA Digital | What the story does not provide |
|---|---|---|---|
| Time capture | Projects, billable and non-billable hours, cost rates | Hours logged against each client project | Entry rules or policies beyond the options named |
| Profitability | Time, cost and profit reports | Comparing project income with cost and hours | Report samples, figures or review cadence |
| Team and capacity | Team report, planned hours on tasks | Estimating whether to hire specialists in coming months | Forecast accuracy or hiring outcomes |
| Connected reporting | API with Google Sheets through Google Scripts | Supports profitability, client reports and payroll | Scripts, data schema and security setup |
What the story does not establish
- It does not measure a change in efficiency, profit, forecast accuracy or payroll accuracy after adopting Clockify.
- It includes no independent testing and no comparison with other tools that MTA Digital evaluated.
- Its headcount and its “over 100 apps” integration count are undated, so they cannot be treated as current figures.
Applying the pattern to your own agency
The story implies a short set of prerequisites for anyone trying the same approach. Each one is a choice you make before any report can help:
- Log every entry against a project so that project-level reports are complete.
- Mark billable and non-billable time consistently, and set cost rates for the people doing the work.
- Assign planned hours to tasks so that scheduled and tracked time can be compared.
- Decide who may see which data before the team starts logging time.
- If you export to a spreadsheet, define the columns you need before writing any script against the API.
The customer story does not say how MTA Digital set up each of these steps, so treat them as a planning checklist rather than a copy of its configuration.
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