Looker Studio (formerly Data Studio) is free and powerful. Here’s how to build dashboards that actually get used.
What Looker Studio Is
Looker Studio (Google’s free BI tool) connects to GA4, Google Ads, Search Console, Sheets, BigQuery, and dozens of other data sources. You build interactive dashboards that update automatically. Free tier is more than enough for most SMBs. Great for: weekly marketing reports, client dashboards, exec summaries, cross-channel views. Not great for: complex modeling, real-time data, teams needing SQL-heavy analysis.
Dashboard Design Principles
One dashboard = one question. Don’t build ‘marketing overview’ trying to cover everything. Better: ‘Paid media weekly performance,’ ‘Organic traffic monthly trend,’ ‘Executive summary.’ Each audience gets a specific dashboard answering their specific questions. Most ‘unused dashboards’ are used; they just answer questions no one actually asks. Match the dashboard to the real user.
Data Sources and Connectors
Native connectors: GA4, Google Ads, Search Console, BigQuery, Google Sheets, YouTube Analytics. Partner connectors (Supermetrics, Funnel.io — paid): Meta, LinkedIn, TikTok, HubSpot, Mailchimp. Partner connectors cost $30–300/mo but save hours of manual data assembly. For small setups, Google Sheets as a manual aggregation layer works too — export weekly, refresh automatically.
Blending Data Across Sources
Looker Studio can blend data from multiple sources if they share a dimension. Example: blend GA4 (sessions, conversions) with Google Sheets (planned budget) on ‘month’ dimension → a dashboard comparing actual vs planned. Blending requires careful matching of dimension values; small typos break the join. Keep dimension values consistent across sources.
Must-Have Widgets
Top-of-dashboard: scorecards with key metrics (traffic, conversions, revenue, CPA) with period-over-period deltas. Time series chart: trend of primary metric. Bar or pie chart: channel breakdown. Data table: detailed metrics by dimension (campaign, landing page, country). Filters at top: date range, traffic source, segment. Keep it to 5–8 widgets per dashboard — more is cognitive overload.
Sharing and Access Control
Share dashboards via link (view-only, organization-only, or public). Client dashboards: give clients ‘view only’ access; don’t let them edit. Internal team dashboards: use scheduled email delivery (every Monday 9am) so the dashboard reaches people without them needing to remember to check. Saved filters per user let one dashboard serve multiple use cases.
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