Guide

Several GA4 properties in one view: Looker Studio, Databox or Plask

By Torstein Skulbru ·

GA4 cannot show more than one property at a time, so to see several properties on one dashboard you need an external tool. The three realistic choices are Looker Studio (free, one data source per property, you build everything), Databox (a general BI dashboard, priced per data source), and Plask (a per-product P&L and monitor with alerts, free for 1 product and $5/mo for all of them).

This guide is for the indie developer with six side projects or the small studio with a dozen client sites. It compares the three on setup time, price, alerting, and AI summaries, and is honest about where each stops scaling.

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 daily 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 real build work for the first version of a 10-property dashboard and more 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 marketing sources on the same board, or if you report on many client 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 (a per-product P&L with alerts)

Plask does one narrow thing: it watches the products you run and tells you which one needs you. There is no dashboard builder. You sign in with Google, pick your GA4 properties, optionally paste read-only Stripe or RevenueCat keys, and get a fixed portfolio view with a row per product showing traffic, revenue, ad spend, profit, and period-over-period deltas, plus a sparkline and the traffic channel breakdown.

  • Setup is picking properties and pasting read-only keys, 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 product, delivered by 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.
  • A Monday digest covering the whole portfolio: the P&L per product, up to three Focus cards on what needs you, and a recap of the week's anomalies. See the digest.
  • Price is $0 for one product and $5/mo or $48/yr for unlimited products, the portfolio view, weekly Focus cards, full marker history, and alerts. Founding Pro is $36/yr for the first 50 makers.

Comparison table

Prices are what each vendor's pricing page showed on 2026-09-08 (annual billing where a toggle exists).
Looker StudioDataboxPlask
Best forCustom reports, any number of properties (with BigQuery)Multi-source BI, agencies with 10 to 30+ propertiesIndie devs and small studios running several products
Setup (10 properties)Build every chart; ongoing maintenanceBuild databoardsNothing to build
Property limitOne data source per property; blends limited to 53 (Free), 5 (Analyst), 10 (Team Core), 30 (Team Scale)1 product (Free), unlimited (Pro)
PriceFree; Pro is a paid per-user licenseFree; $71 to $319/moFree; $5/mo or $48/yr
Anomaly alertsNo (threshold chart alerts on Pro, email only)Smart Alerts with sensitivity, Team plans and upYes, 3 sensitivity levels (Pro)
Slack / Discord deliverySlack on ProSlack, Team plans and upSlack and Discord on Pro
AI summariesNoGenie and AI summaries, credit-meteredWeekly digest + root cause on Pro
Data refreshLive queries against the GA4 API (quota-bound)Daily (Free), hourly (paid)Four times a day
Non-GA4 sourcesHundreds of connectorsDozens of connectorsStripe, RevenueCat, manual costs
Custom layout / white labelFull controlYesNo

How to pick

Your own products, 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 puts revenue and costs next to traffic for $5/mo.

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 one product and Looker Studio for the rest; you will soon know whether alerts or custom reports are the thing you actually miss. Pricing details are on the pricing page.

Questions

Can GA4 itself show multiple properties on one screen?
No. GA4 has an account-level property picker, but every report, the Home page, and Insights are scoped to a single property. There is no built-in cross-property dashboard. Roll-up properties exist only in Google Analytics 360, the paid enterprise edition.
How many GA4 properties can Plask monitor?
Plask counts products, and each product can have a GA4 property plus Stripe or RevenueCat revenue. The Free plan covers 1 product and Pro ($5/mo or $48/yr) covers unlimited products. Multiple data streams under the same GA4 property (for example a web stream and an iOS stream) count as one property.
Why does my Looker Studio GA4 dashboard show quota errors?
Looker Studio's GA4 connector uses the GA4 Data API, which has per-property and per-project token quotas. A dashboard with many charts, many viewers, or many properties can exhaust the hourly or concurrent-request quota and show errors such as 'Exhausted concurrent requests quota'. Google's suggested fixes are to consolidate data sources, use extracted data, or move to the BigQuery export.
Is Databox or Plask better for an agency with 30 client properties?
For 30 properties Databox is the more direct fit today: its Team Scale plan includes 30 data sources and its Agency plan sells client packs. Plask is built for a maker's own portfolio rather than client reporting: one account, no client workspaces or white-labelling. Its advantage is price and built-in statistical alerts with AI root cause next to revenue.

Related reading

See all your properties in one place

Sign in with Google, pick your GA4 properties, and get a portfolio view with anomaly alerts. One product free, unlimited on Pro.

Free for one product. Founding Pro $36/yr for the first 50. See pricing.