How do I report on Google and Facebook ads together without pulling numbers from five tabs?

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Anyone managing ads across more than one platform knows the specific pain of monthly reporting: log into Google Ads, export the numbers, log into Meta's ads manager, export those, maybe Microsoft Advertising and LinkedIn too if the client runs there, and then manually reconcile four different reporting structures into something that actually reads as one coherent story. Multiply that by every client account and it becomes a genuine chunk of a month, not a quick task.

What does a cross-channel tool actually combine?

Diginius's Advertising Insights feature connects to Google Ads, Microsoft Advertising, Facebook and LinkedIn directly, with TikTok also listed via a partner integration badge on the vendor's own site. Once connected, it shows campaign, ad group and keyword-level performance side by side across those platforms, tracks budget and spend, and measures ROI in one consistent view rather than each platform's own separate reporting language; ROAS (return on ad spend) specifically shows up on Diginius's separate Reporting and Analysis tool rather than Advertising Insights itself, so check which specific tool surfaces the metric you need before assuming both report identically. Unlimited integrations and users are included on every Diginius plan, so this isn't gated behind a higher tier the way some of the platform's other limits (keyword counts, lead caps) are.

On top of the reporting layer, Diginius also runs an automated bidding engine with what it calls a "product-based bidding algorithm," covering ad and shopping campaigns, designed to adjust bids automatically to chase better ad prices and performance. That's a genuinely separate capability from reporting, worth knowing about if you're evaluating this primarily as a reporting tool and might also get value from the automation layered on top.

What a tool like this doesn't do is give you a single, platform-agnostic metric that's directly comparable across every channel without any caveats. Google Ads, Facebook, Microsoft and LinkedIn each calculate things like attribution windows, conversion counting and even what counts as a "click" slightly differently under the hood. A cross-channel dashboard surfaces each platform's own numbers side by side and often adds a normalized view on top, but the underlying platform-level differences don't disappear just because the numbers now live in one dashboard. Understanding that distinction matters when a client asks why their Google ROAS and Facebook ROAS aren't directly comparable even though the dashboard shows both in the same table.

What this actually saves you in practice

The time cost of manual cross-channel reporting isn't just the export and reconciliation itself, it's the context-switching. Logging into four separate platforms, each with its own interface, its own date-range quirks and its own way of labeling the same underlying metric, adds friction every single time you do it, even for an experienced marketer. A combined dashboard removes that context-switching entirely, which is often a bigger time saving in practice than the raw export-and-reconcile work itself. For an agency running five or six client accounts across multiple platforms each, that friction reduction alone can realistically save several hours a month, before even counting the automated-report time saving separately.

Free and cheaper alternatives worth checking first

Option	Cost	Tradeoff
Looker Studio	Free	Genuinely free and flexible, but needs real setup time connecting each platform's data source and building the dashboard yourself
AgencyAnalytics	Check current pricing	Built specifically for agencies with per-client pricing; often has more connectors than a general marketing platform
DashThis	Check current pricing	Simple, template-driven dashboards, less depth than a full ad-management platform but faster to set up
Manual spreadsheets	Free	No subscription cost, but the labor cost compounds every single month, unlike a one-time tool setup

If you're only managing ads for one or two clients, Looker Studio's free tier combined with an hour of initial setup might genuinely be enough, especially if you're comfortable building dashboards yourself. The paid tools earn their cost once you're managing enough accounts, or enough platforms per account, that the setup and maintenance of a free DIY dashboard starts eating real time every month on its own.

There's also a maintenance cost to the free route that's easy to underestimate up front: platforms periodically change their APIs, rename metrics or adjust how data connects, and a self-built Looker Studio dashboard needs someone to notice and fix those breakages. A paid, vendor-maintained tool absorbs that maintenance burden as part of the subscription. For a solo operator with limited time to spend debugging a broken connector mid-month, that difference alone can justify the cost even before counting the time saved on reporting itself.

A worked example

Picture a three-person agency running paid ads for six clients, with four of them on Google and Facebook, one also running LinkedIn, and one running Microsoft Advertising alongside Google. Reporting manually across that mix means logging into up to four different platforms across six separate client accounts every month, roughly 15-20 separate exports and reconciliation passes if done by hand. At even 15 minutes per export and reconciliation step, conservatively, that's close to five hours a month on reporting alone, before accounting for the time spent actually writing up the client-facing summary each report needs.

With cross-channel reporting and scheduled automated delivery set up once, that same six-client, multi-platform reporting load drops to perhaps an hour of review and spot-checking a month, since the exports, reconciliation and delivery are all handled automatically. Scaled across a year, that's the difference between roughly 60 hours spent on reporting administration versus 12, time that goes back into either billable client work or actually growing the agency instead.

Step by step: setting up cross-channel reporting

1. List every ad platform your current clients actually run on, not just the main ones. A client with a small LinkedIn budget alongside a bigger Google spend still needs that platform connected to get a complete picture.
2. Connect each platform's account through the tool's own authorization flow, which typically just requires logging into each ad platform once to grant access.
3. Build one dashboard view per client, not one giant combined view, so each client's reporting stays clean and specific to their own accounts. Running the accounts themselves is covered in how to manage ads for several clients in one place.
4. Set up scheduled automated email reports rather than manually generating and sending them each month, which is usually where most of the actual time saving comes from. For what AI can add to reports, see agency client reporting with AI.
5. Check the ROI and ROAS calculations against your own manual math once before trusting the automated numbers fully, since platforms sometimes define these metrics slightly differently and it's worth confirming the tool's definition matches what your clients expect.
6. Review which connectors you actually need before committing, since a tool built narrowly for agency client reporting specifically might have deeper or broader connector support than a general all-in-one marketing platform. Other tools are compared in agency reporting tools and dashboards for clients.

What I'd actually tell you

The real time savings from a tool like this come almost entirely from the scheduled, automated reporting layer, not from the dashboard itself. If you're still manually logging into the dashboard every month and exporting numbers by hand, you've kept the old time cost and just moved where it happens. Set up the automated email reports properly from day one, even if it takes an extra hour of configuration up front, because that configuration is where the actual monthly time saving lives.

I'd also be honest about what this tool can't fix: it reports on ad performance, it doesn't make weak ads perform better. If a client's campaigns genuinely aren't working, a cleaner, faster report just delivers that bad news more efficiently. The value here is entirely in the reporting speed and clarity, not in improving the underlying ad performance, aside from whatever lift the automated bidding engine provides on Shopping campaigns specifically.

There's also a client-trust angle worth naming directly. Clients who've been burned before by agencies hiding weak performance behind vague, cherry-picked reporting tend to respond well to a consistent, automated report that shows the same metrics every month regardless of how that month actually went. Switching to a tool like this is as much a trust-building move with existing clients as it is a time-saving one for you, since it signals you're reporting the same way every time rather than selectively. For the conversation itself, see how to explain ad results to a client who asks if ads are working.

How I'd approach this

For an agency running a handful of clients across two or three platforms each, Diginius's own cross-channel dashboard and scheduled reports usually cover the need directly, no custom build required. Where I'd step in is if you're managing enough accounts that even automated reporting from one tool isn't quite matching your specific client-facing format, or if you want the ad data joined with other systems (your own CRM, your invoicing, a client portal), which is a straightforward custom layer to add once the core reporting tool is doing its job well. Start with the platform's own connectors and scheduled reports first, confirm they cover your actual client mix, and only then look at what's worth building on top.