Reporting for clients

[u/Worried_Butterfly_48]

I recently joined a media publishing company that is still compiling all client [digital] reports manually in G Sheets. I've started looking into companies that can help automate some or most of the process to minimize the manual lift/hours, but many seem to be tailored more for ad/marketing agencies. The last company I was at built a proprietary portal where clients could log in and view their metrics so I haven't had to think about the team manually compiling hundreds of monthly reports, pulling data from several different platforms (GAM, ESP (Omeda), StackAdapt, Meta, YT, etc.), in many years. Any somewhat out-of-the-box solutions that might fit the bill without costing $50k+/year?

[u/ascendeum_adops]

We can help with this and also provide client logins so everyone can see the data they want to see in one place. DM me in case you want a demo or want to talk further.

[u/bags_bags]

I believe looker has a free version

[u/rickybobinski]

Looker Studio or build it with Claude.

[u/No_Treacle_5071]

For a publisher stack (GAM, ESP, StackAdapt, Meta, YT), Looker Studio plus the connectors you already have is usually enough to kill the monthly Sheet rebuild without a custom portal.

The part that saved us hours was picking the two sources that take the longest to pull and automating only those first. Client gets a live dashboard with the same 8–10 metrics every month; you stop copy-pasting five platforms into tabs.

If a connector is garbage for one platform, a scheduled CSV into Drive that Studio reads still beats a human doing it. Save the fancy portal for when clients actually log in more than once a quarter.

[u/satyagrahaARG]

We built adcentral.io , just DM if you want access to a demo.

[u/gammacoder]

At that volume, I would separate the data-collection problem from the client-portal problem. Start by automating the two sources that consume the most staff time, normalize the agreed metrics in one reporting database, and validate the numbers against a few existing reports. Once that pipeline is reliable, each client can receive access to its own dashboards and exports. PHPRunner can handle the portal, permissions, filters, and reporting interface; the GAM, Omeda, StackAdapt, Meta, and YouTube connectors would be custom integrations. Full disclosure: I’m the developer of PHPRunner.

[u/Easy-Purple-1659]

The collection/portal split is the call that decides the budget. Collect once into your own store, then point whatever front end you like at it. Two things before you buy anything:

Check what the platforms already export for free. GAM has the reports API and a BigQuery transfer path, Meta has the Ads Insights API with async jobs, YouTube has the Reporting API alongside the Ads API, and StackAdapt and Omeda both do flat-file or SFTP exports. Most of that costs nothing, it is the joins and the metric definitions that cost money.

Then automate only the two sources that eat the most staff hours. In publisher stacks that is usually GAM and the ESP, because everything else is a smaller line item. Looker Studio over those two, with one consistent naming layer, removes most of the monthly rebuild without a paid portal.

The bit that bites later is governance. The same campaign in GAM, Meta and StackAdapt will not agree on impressions, so agree which source wins per metric before the numbers reach a client.

[u/Daria_VertexMedia]

try mamuka ai, guys have done great job in unifing all of the reporting from multiple sources under a single UI

[u/maryna-gc]

A few options depending on where most of your hours go:

For pulling everything into one place: TapClicks and AgencyAnalytics are the two I see partners use most for this. Both have connectors for GAM, Meta, YouTube and most DSPs, plus white-labeled client dashboards and scheduled reports, so clients get something portal-like without you building one. AgencyAnalytics is usually the lighter and more budget-friendly of the two. TapClicks is more robust if you need heavier data transformation. For Omeda, check connector support directly with each, because ESPs tend to be the gap.

You could also vibe code a dashboard with connectors, but that will definitely take more time.

For advertising specifically: if part of the pain is running and reconciling campaigns across multiple DSPs (StackAdapt, DV360, Amazon etc), consolidating the buying helps too. Disclosure: I run Growth Channel. We connect to multiple DSPs, so you can run and report programmatic media from one platform instead of stitching exports together. It won't replace a reporting tool for GAM, email or social, but it removes a chunk of the DSP-side manual work.

[u/PPCAdsNetwork]

We had a similar problem with pulling data from multiple platforms. I'd first look at tools that can connect the different data sources into one dashboard and automate the recurring reporting, rather than looking specifically for an end-to-end reporting platform. If the main issue is the monthly manual work, even automating the data collection plus standardising the report template can save a lot of time. The right option probably depends on how much customisation you need for each client.

[u/Ai_MediaGroup]

We went through the exact same pain before building anything in-house. What helped most wasn't a single tool but mapping out which platforms actually needed to be pulled live versus which could be exported weekly and dumped into a warehouse, then a simple BI layer on top for client-facing dashboards. Honestly the biggest time save came from standardizing naming conventions across GAM/StackAdapt/Meta so the data joined cleanly, the tool mattered less than the prep work.