Remove repetitive production
Collect recurring inputs, normalize the reporting cycle and prepare the next output without rebuilding it by hand.
Reporting operations
Podcast reporting automation, built as a managed operation.
We build and run the reporting layer between your platforms and your clients. Data collection, report production, QA, live dashboards, white-label delivery and recurring updates become one dependable operation, without forcing your agency onto a new platform.
1,500+manual reporting hours removed annually
70+concurrent advertisers supported
$52,500annual labor cost saved
From a single anonymized engagement our founder led inside a major US media network, before Podrelay existed. Labor figure applies a conservative $35/hr blended internal rate. See the full case study →
Real operating dashboard built for a live podcast reporting workflow. Client identities and exact commercial results are intentionally obscured.
One operation. Every recurring deliverable.
Podcast automation, automated reporting, client dashboards and AI reporting are not four separate services here. They are capabilities inside one managed reporting system, fed by the same verified data.
Check before delivery
Reconcile figures, dates, delivery and source context so exceptions are handled before the client sees them.
Make the client experience better
Turn verified data into branded reports, live dashboards, QBR decks, campaign wraps and useful decision context.
What the reporting operation can produce
- Recurring delivery and performance reports
- White-label reports under your agency brand
- Live client dashboards kept current across the reporting cycle
- Custom templates built around each client requirement
- Campaign wrap reports and executive summaries
- Quarterly business review and QBR decks
- Revenue, pacing and booked-versus-delivered reconciliation
- AI-assisted narrative after the underlying numbers are verified
Reports and dashboards, one source of truth
Dashboards used to be sold as a separate product, and that is exactly why so many agencies end up with a dashboard that disagrees with the report they emailed last week. Two surfaces built by two processes will always drift.
Here they are the same operation with two output formats. The dashboard answers the question a client has on a Tuesday afternoon without anyone rebuilding an export. The scheduled report preserves the period narrative, the approval record and the recommendation. Because both draw on the same reconciled figures and the same agreed metric definitions, the numbers match when a client puts them side by side.
You can see what a client dashboard looks like, including the metric layers and the delivery, performance and commercial hierarchy behind it.
Built around your existing tools
Your attribution, hosting, sales and analytics platforms remain the source systems. Podrelay builds the operational layer that connects those sources, handles recurring production and turns the result into a client-ready deliverable. No platform migration is required.
The output can follow an existing template or become a completely new reporting experience. Either way, the agency brand and client relationship stay in front.
Automation handles volume. We handle ambiguity.
Automation can move known inputs quickly. Live podcast advertising creates exceptions that still require judgment: late episodes, bonus inventory, underdelivery, changed schedules, uncontracted placements and conflicting records between production, sales and measurement systems.
We monitor those exceptions, reconcile the operating record and keep the final report honest. AI can help organize and explain verified information, but it does not get to invent the truth.
Built once, managed every month
The engagement begins with a paid implementation that maps your workflow and builds the reporting system. Ongoing monthly management keeps it accurate as campaigns, sources, templates and client requirements change. For agencies weighing additional reporting headcount, the cost estimator compares the two against your own campaign load and internal rate.
Where the dashboard fits
A live view is only worth building when the data underneath it has already been reconciled. These are the three layers the client-facing dashboard is organized around.
Are we on plan?
Total delivery, pacing, remaining inventory and the campaigns that need attention before the reporting deadline.
Where is response coming from?
Podcast downloads, YouTube views, Spotify streams, engagement and conversions kept inside the correct platform context.
What should happen next?
Spend, attributed revenue, efficiency and a concise decision brief without turning the dashboard into a spreadsheet.
Podcast reporting automation questions
What is podcast reporting automation?
It is a managed workflow that collects recurring reporting inputs, checks the numbers and produces client-ready outputs on a defined cadence. The goal is a dependable reporting operation, not merely faster exports.
Are live dashboards a separate service?
No. Dashboards are one of the delivery formats inside reporting operations. The same verified data that produces a monthly client report also feeds the always-current dashboard view, which is what keeps the two consistent with each other.
Does a live dashboard replace scheduled reports?
Not always. The dashboard provides an always-current operating view, while scheduled reports preserve a period-specific narrative, approval record or executive summary.
Is podcast automation different from automated reporting?
In this service, automated reporting is part of podcast automation. Both terms describe the same core outcome: less manual production and a more reliable reporting cycle. The reporting operation also includes QA, exception handling and client delivery.
How is AI used in podcast reporting?
AI can assist with organizing verified information, drafting summaries and surfacing patterns. Source reconciliation and ambiguous delivery cases remain subject to human review.
Can you use our templates and branding?
Yes. Reports, campaign wraps, dashboards and QBR decks can use your agency branding, existing templates or a new custom design.
Do we need to replace Podscribe or our current tools?
No. Measurement and attribution platforms remain valuable data sources. Podrelay builds the reporting operation around the tools you already use.
How do you handle our data, and are you GDPR compliant?
Yes. Podrelay acts as a data processor under the EU and UK GDPR and signs a Data Processing Agreement before any access is granted. We work to data minimization: access is read-only and least-privilege, limited to the specific sources a reporting operation needs, and we do not process individual listener identities. Wherever possible your data stays inside your own platforms and accounts. Anything held on our side is encrypted in transit and at rest, restricted to named personnel, and returned or deleted on request or at the end of the engagement. Sub-processors are disclosed on request, personal data breaches are notified without undue delay, and confidentiality terms cover every client engagement.
Stop rebuilding the same report every month.
We'll map your reporting workflow and show you where automation returns the most.
Book a reporting infrastructure reviewWe reply within one business day.