AI ad-test reporting automation
A paid-social testing agency spent a week on every client report. Our AI-assisted report generator cut that to minutes and removed the need for a reporting team.
What we worked on
Reporting Automation AI-Generated Campaign Insights Internal Web App
Year completed
2024
Background
An agency of about 15 people runs paid-social signal tests for founders. Every client report meant a full week of pulling ad data, consolidating spreadsheets, comparing test phases and building the deck, and it took a dedicated team to do it.
Challenges
Reporting was the bottleneck on client delivery. As the client base grew, the week-long manual process slowed every engagement and left room for manual error.
Outcome
A report generator: strategists upload the ad data and get charts, phase-by-phase comparisons and AI-supported insights in one interface. The CEO says they no longer need a team in place for reporting, and strategists produce their own reports in minutes.
A product signal-testing agency (about 15 people, name withheld)
Name withheld
Ad-test reporting automated with AI insights: a week of manual work per client report, now minutes, with no reporting team
Week → minutes
Client report turnaround
No team
Dedicated reporting team no longer needed (client CEO)
3 → 1
Report types consolidated into one generator
Pull quote
Our proprietary signal testing method generates a lot of data and requires a full team to build reports and insights. We now no longer need a team in place to do that, our strategists are enabled now to produce their own reports in minutes using our app generator.
CEO and Founder, product signal-testing agency
Snapshot
Industry
Marketing agency: paid-social product validation and research
Services
Discovery, product design, internal web app build, data automation, AI insight generation
Duration
Kickoff January 2024, built and iterated through spring 2024
Before
A full week per client to pull ad data, consolidate spreadsheets and build the report, with a dedicated team just to produce reports.
After
Reports generated in minutes from uploaded ad data, with AI-supported insights and charts in one place. Strategists self-serve, and no reporting team is needed.
Timeline
Late 2023
Scoping
Reporting workflow mapped and scope agreed.
Jan 2024
Kickoff
Build starts on the report generator.
Feb–Apr 2024
Build sprints
Report model simplified from three types to one, with a realignment session in April.
Spring 2024
Data uploads and testing
Historical test data uploaded and the generator tested internally.
Mid-2024
Delivered
Strategists generating reports in the app.
What we designed
Automate the agency’s own signal-testing method: upload paid-social test data, generate charts, compare phases and key metrics, and surface insights.
Internal-first, with a path to client-facing use.
Why this work existed
The workflow took full weeks of pulling data, organizing metrics, comparing phases and packaging insights. That slowed client delivery as the agency grew.
What we built
A report-generator web app with CSV ingestion of ad data and guided data selection.
Automatic charts, phase-by-phase and ad-level performance views, and metric comparison.
AI-supported insights generated inside the report flow.
During the build we simplified the report model from three report types to one, so every strategist works from the same generator.
The problem this solved
We removed a week-long manual reporting process and the need for a team dedicated to it. Strategists now turn ad-platform exports into client-ready reports in minutes.
FAQ
How much time did the automation save?
Client report turnaround went from about a week to minutes, and the agency no longer needs a dedicated reporting team. We don't have an exact hours figure.
Where is AI used?
The generator writes AI-supported insights on top of the automatically ingested and charted ad-test data. Data ingestion, charting and phase comparison are automated.
How long did the build take?
Kickoff was in January 2024, with build sprints through spring 2024.
Who is this kind of engagement for?
Performance-marketing agencies, growth teams and in-house paid-social teams that spend days each cycle turning ad-platform exports into client or executive reports.
