Ad performance dashboard: ad campaign performance across Google Ads, Meta and TikTok in one view

What is an ad performance dashboard?

An ad performance dashboard is a single view of how your advertising campaigns are performing across every network you buy on, usually covering spend, impressions, clicks, cost per click, conversions and return on ad spend. Instead of logging into Google Ads, Meta Ads Manager and TikTok Ads Manager separately, you get one board that pulls all of them together on a shared date range.

The useful ones do something the native dashboards cannot: they show your total advertising spend against your actual business revenue. No single ad network can do this, because none of them can see the campaigns running on the other networks or the sales that arrived through organic search, email and direct. That total view is the reason to build one at all.

Why do Google Ads, Meta and TikTok report different numbers for the same campaign?

Because they use different attribution windows and each one only sees its own traffic. A customer who saw a TikTok video, later clicked a Meta ad, then searched your brand name and clicked a Google ad has plausibly been influenced by all three. Each network counts that one sale as its own, so the three dashboards together report up to three times the revenue that actually happened once.

The window lengths make the gap wider still. Google Ads looks back 30 days from a click by default and can be configured out to 90, so it has the longest memory and the most opportunity to claim credit. Meta offers 1, 7 and 28-day click windows, and since 12 January 2026 its only view-based windows are 1-day engaged view and 1-day view, after the 7-day view and 28-day view windows were removed from the Ads Insights API along with every combined window built on them. TikTok is the strictest of the three: its click window is 1 or 7 days and its view-through window is either off or 1 day.

There is a second, quieter difference in which day a conversion lands on. Google Ads books a conversion against the date of the click that produced it, so a sale today can appear in last week's numbers when you refresh a report. GA4 books the same sale against the date the event happened. That alone makes weekly comparisons between the two disagree even when the tracking is flawless. We worked through all six causes in why ad platform revenue numbers do not match.

How do I compare ad performance across platforms?

Compare efficiency metrics across networks, and never compare or sum attributed conversion counts. Spend, impressions, clicks, CPM, CPC and click-through rate are measured roughly the same way everywhere, so a cross-network comparison of those is fair. Conversions, conversion value and ROAS are attributed figures produced by three different rulebooks, so a side-by-side table of platform ROAS ranks the networks by how generous their attribution is, not by how well they sold anything.

The practical structure is two layers. The lower layer is per-network and per-campaign, kept in the platform's own terms and used for the decisions that live inside an ad account: which creative to scale, which campaign to pause, which audience is getting expensive. The upper layer is blended and network-agnostic: total spend, total revenue, blended ROAS, blended CAC and MER. Budget decisions belong on the upper layer, optimization decisions on the lower one.

Keeping both layers on one board is what stops the classic argument where the media buyer is looking at platform ROAS of 4.1 and the founder is looking at a bank balance that says otherwise. Both numbers are correct, they just answer different questions, and labeling them clearly is most of the fix. The full method is in blended ROAS and the board-level version in the marketing efficiency ratio dashboard.

What metrics should be on an ad campaign performance dashboard?

Keep it to metrics that change a decision. A dashboard with forty widgets gets checked once and then ignored, and every metric you add makes the important ones harder to see. Three tiers works: a headline row that answers whether marketing is paying for itself, a network row that shows where the money went, and a campaign table you open when a number on the row above moved.

The headline row should carry total ad spend, total revenue, blended ROAS, blended CAC and MER, plus the change against the previous period. The network row carries spend, share of spend, platform-reported conversions and platform ROAS per network, each labeled as platform-reported so nobody sums them. The campaign table carries spend, impressions, clicks, CTR, CPC, CPM and platform conversions, sortable, so a media buyer can find the campaign that moved the network number.

• Total ad spend across every network, reconciled to what your card was actually charged
• Total revenue from your store and billing system, not from ad platform claims
• Blended ROAS and blended CAC, with the change versus the previous period
• MER against your break-even line, derived from contribution margin
• Spend share by network, so budget drift is visible before it becomes a surprise
• Per-campaign CPM, CPC, CTR and platform conversions for the optimization layer

Is a Google Ads performance dashboard enough on its own?

It is enough if Google Ads is genuinely your only paid channel, and it stops being enough the moment a second network is running. The native Google Ads dashboard is a good tool for the account it manages: it has campaign, ad group and keyword granularity that no third-party view improves on, and if you want that view specifically, our Google Ads dashboard page covers what to add around it.

What it cannot tell you is whether the money would do more good somewhere else. That question needs total spend, total revenue and the other networks in frame. The same applies in reverse to a Facebook Ads dashboard: excellent for creative and audience decisions inside Meta, blind to everything outside it. If the paid search and paid social split is the specific thing you are managing, the PPC dashboard view is the closer fit.

Which networks does MixedMetrics connect, and which does it not?

On the advertising side: Google Ads, Meta Ads and TikTok Ads, plus Search Console for organic search. On the revenue side: Shopify, Stripe, and Klaviyo or HubSpot. GA4 connects for session and channel context. Every connector is read-only, so we can never change a bid, a budget or a campaign in your account.

Amazon Ads, Microsoft Ads and LinkedIn Ads are not connected today, and it is better you know that before you sign up than after. If a meaningful share of your spend sits in one of those three, we will show you an incomplete picture this quarter. Amazon in particular is a structural case rather than a missing connector: Amazon Ads drive purchases that complete on Amazon and never touch your store, so those sales are a separate revenue pool that no dashboard can honestly merge into your site revenue. We explain the three-layer structure that does work in reconciling Meta, Google and Amazon ad data.

If you are still comparing options, cross-channel marketing analytics covers the wider category and marketing reporting software pricing puts 16 tools side by side on published prices.