L o a d i n g

Custom AI-Powered Client Reporting System for a Digital Marketing Agency

Custom AI Development

Full Product Development

Workflow Automation

Automated client report generation interface for marketing agency Netherlands | Altum Software

About the Client

Our client is a performance-driven digital marketing agency based in the
Netherlands, managing a growing roster of clients across paid search, paid social,
and SEO. With an expanding client base and an account management team
handling reporting manually every month, they reached a point where the process
was consuming too much time and creating inconsistencies in how the results were
communicated to clients.

Industry:

  • Digital Marketing

Country:

  • Netherlands

Team:

  • CTO
  • Project Manager
  • Frontend Developer
  • Backend Developer
  • AI Engineer
  • QA Engineer

Client:

  • Under NDA

Time Frame:

  • 3 months

 

AI-powered report preview screen with Google Ads and Meta Ads performance data | Altum Software
Account manager dashboard showing automated client reports for marketing agency | Altum Software
Custom AI reporting automation system for digital marketing agency Netherlands | Altum Software

About
the Project

Challenge

As the agency scaled, manual client reporting became one of its biggest operational bottlenecks.

Every month, account managers followed the same time-consuming workflow. They logged into each platform separately, Google Ads, Meta Ads, Google Analytics, pulled the data manually, copied numbers into spreadsheets, wrote performance summaries from scratch, formatted everything into a client-ready report, and sent it out. For an agency managing 15 to 20 clients, this process consumed between 8 and 15 hours per account manager every single month.

Beyond the time cost, the process created inconsistencies. Different account managers wrote summaries differently. Report quality varied depending on workload and capacity. Clients received different levels of insight depending on who handled their account.

Off-the-shelf reporting tools partially addressed the problem, but none fit the agency’s specific workflow, data structure, and client communication standards without significant compromise. The agency needed a custom AI reporting system built around how they actually operated.

Solution

We designed and built a custom AI-powered client reporting system that automated the agency’s end-to-end reporting workflow, from data aggregation to AI-generated narrative summaries and scheduled client delivery.

The system integrates directly with the agency’s core data sources, Google Ads, Meta Ads, and Google Analytics 4, pulling performance data automatically on a set schedule across all client accounts. No manual exports, no spreadsheet formatting, no copy-pasting between platforms.

The platform was built with a multi-role architecture supporting three distinct user types.

Each report follows a consistent three-part structure, a top-line performance summary, channel-by-channel breakdown, and AI-generated insights with recommended next steps, delivered automatically to clients on a set schedule without any manual input.

Account managers

receive auto-generated report drafts for review before client delivery, keeping human oversight in place at every step.

Team leads

have visibility across all accounts with aggregated performance data and anomaly alerts.

The agency owner

has access to a full admin dashboard tracking team output, report delivery status, and overall account health.

Automated marketing report delivery system with AI-generated insights | Altum Software

AI Layer

AI sits at the core of the reporting automation system. Rather than simply presenting raw data, the system interprets performance signals and produces plain-language summaries that explain what changed, why it matters, and what the agency should consider doing next.

The AI layer identifies anomalies, surfaces opportunities, and generates next-step recommendations tailored to each client’s campaign context — turning raw campaign data into actionable insights, not just charts.

AI-generated next steps and recommendations panel for marketing agency reporting | Altum Software

Business Impact

Automating the client reporting process eliminated the manual workload that had been consuming between 8 and 15 hours per account manager per month. With AI-powered reporting automation handling the heavy lifting, the team redirected that time toward strategy, client relationships, and campaign optimisation.

Report quality and consistency improved significantly — every client receives the same structured, insight-rich format on time, every month, regardless of team capacity or workload.

The agency also reduced its dependency on multiple SaaS reporting subscriptions, consolidating everything into a single custom-developed reporting system built specifically around their workflow.

Tech Stack

Next.js

was used for a fast, scalable frontend with server-side rendering for account manager dashboards, admin panel, and report management interface.

Node.js

served as the backend infrastructure handling data pipelines, automated report scheduling, and multi-role access logic across all integrated platforms.

OpenAI

powers the core AI layer — generating performance narratives, client-ready insights, and next-step recommendations from raw campaign data.

Google Ads API / Meta Ads API / GA4 API

were integrated for automated data aggregation across all client accounts — eliminating manual exports entirely.

PostgreSQL

served as structured data storage for campaign data, report history, and user management.

Key Outcomes

Eliminated 8–15 hours of manual reporting work per account manager per month.

Reduced SaaS tool dependency by consolidating reporting into a single custom-built system.

Replaced manual reporting with AI-generated reports delivered on schedule.

Freed the account management team to focus entirely on strategy and client relationships.

Altum Software - CEO Oleg Dumych

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