One Dashboard for Multiple GA4 Properties: Looker Studio vs Databox vs Plask

The problem: GA4 is single-property by design

Every GA4 screen is scoped to one property. The Home page, standard reports, Explorations, and the Insights cards all live under the property you selected. Checking eight properties means eight property switches, eight page loads, and eight sets of numbers you compare in your head. Roll-up properties, which aggregate several source properties, exist only in the paid Google Analytics 360 edition.

For someone managing between five and fifty properties, that turns the daily "is everything fine?" check into a fifteen-minute chore, which is why most people stop doing it and only find out about problems when a client emails.

Option 1: Looker Studio (free, build it yourself)

Looker Studio is Google's free reporting tool. Its GA4 connector links one data source to one property, so a 12-property dashboard needs 12 data sources. From there you have two layouts:

• One page per property, each with its own scorecards and time series. Simple to build with copy-paste, but it does not give you a single overview.
• A blended overview that puts several properties in one table. Blends are limited to five data sources, so above five properties you are stacking blends or exporting each property to BigQuery and querying that instead.

Expect a few hours for the first version of a 10-property dashboard and an afternoon every time you add a client. The bigger day-to-day issue is quota: the GA4 Data API caps tokens per property per hour and concurrent requests, and a busy multi-property dashboard is a well-known way to hit those limits. Google's own troubleshooting guidance is to consolidate data sources, use data extracts, or use the BigQuery export.

Looker Studio has no anomaly detection. Scheduled email delivery of a PDF is free; conditional chart alerts (email only, threshold-based) and Slack delivery require the paid Looker Studio Pro license.

Option 2: Databox (general BI dashboards, priced per source)

Databox is a business dashboard product with connectors for GA4, Google Ads, HubSpot, Stripe, and dozens more. Each GA4 property is one data source, and data sources are the main pricing dimension. As of September 2026 the pricing page (annual billing) shows a Free plan with 3 data sources and 1 dashboard, an Analyst plan at $71/mo with 5 sources, Team Core at $199/mo with 10 sources and 3 users, Team Scale at $319/mo with 30 sources, and an Agency plan starting at $79/mo plus $20/mo per client pack. Prices change; check databox.com for current numbers.

On the monitoring side Databox has Smart Alerts (anomaly detection with a 0 to 99 sensitivity setting) and manual threshold alerts, delivered by email, mobile push, or Slack, plus Scorecards, which are scheduled multi-metric summaries. According to its pricing table those notification features start on the Team plans, not on Free or Analyst. It also has an AI layer (Genie, AI performance summaries) metered by AI credits.

Databox is the right answer if you also need non-GA4 sources on the same board, or if you have more than ten properties. The trade-off is cost: alerts and Slack delivery for a 10-property portfolio start around $199/mo, and the setup, while self-serve, involves building each databoard from metric blocks. Full breakdown in Plask vs Databox.

Option 3: Plask (GA4-only monitor with alerts and AI)

Plask does one narrow thing: it watches GA4 properties and tells you when something changes. There is no dashboard builder. You sign in with Google, tick the properties to monitor, and get a fixed portfolio view with a card per property showing active users, sessions, screen views, revenue, and period-over-period deltas, plus a sparkline and the traffic channel breakdown.

• Setup is under five minutes for ten properties because there is nothing to design. Plask backfills history on connect.
• Alerts are statistical (modified Z-score on a 28-day baseline) with three sensitivity levels per property, in-app on Free and email, Slack, and Discord on Pro. Warning and critical alerts include an AI root cause that names the channel, device, or country that moved. See how alerts work.
• AI weekly digest every Monday covering the whole portfolio: which properties grew, which need attention, and a recap of the week's anomalies. See the digest feature.
• Price is $0 for 2 properties and $9/mo or $79/yr for up to 10, with 90-day retention, CSV export, conversion tracking, and public dashboards on Pro.

Comparison table

How to pick

Under 10 properties, and you mostly want to know when something breaks: Plask. The daily portfolio view plus alerts and the Monday digest replaces the manual round of property switches, and at $9/mo it is cheaper than the coffee you drink while doing it.

10 to 50 properties, or GA4 is one of several sources: Databox, budgeted at the Team or Agency tier if you want alerts and Slack. Expect to spend time on databoard design.

You need a specific report layout, PDF delivery to clients, or unlimited scale: Looker Studio, ideally on top of the BigQuery export once you pass a handful of properties. Budget for the build and for quota troubleshooting.

If you are unsure, start with Plask's free tier on two properties and Looker Studio for the rest; you will know within a week whether alerts or custom reports are the thing you actually miss. Pricing details are on the pricing page.