What is Looker Studio and is it free?
Looker Studio (formerly Google Data Studio) is Google's free business intelligence and data visualisation platform. It connects to over 800 data sources — including GA4, Google Ads, Google Search Console, BigQuery, Google Sheets, and many third-party connectors — and turns that data into interactive, shareable dashboards. The core Looker Studio product is completely free; Looker Studio Pro adds team workspaces and enterprise features for a fee.
How long does it take to build a Looker Studio dashboard?
A single-page dashboard for a single data source (e.g., a GA4 traffic overview) typically takes 2–3 days. A multi-page dashboard blending GA4, Google Ads, and ecommerce data with custom calculated fields and interactive filters typically takes 5–10 business days. Executive KPI dashboards covering multiple channels and business units can take 2–4 weeks depending on scope and data source complexity.
What data sources can Looker Studio connect to?
Looker Studio connects natively to all Google products: GA4, Google Ads, Google Search Console, YouTube Analytics, BigQuery, Google Sheets, Google Analytics (UA), Display & Video 360, Search Ads 360, and Campaign Manager 360. Third-party connectors (some free, some paid) extend coverage to Meta Ads, TikTok Ads, LinkedIn Ads, HubSpot, Salesforce, Shopify, Stripe, Ahrefs, SEMrush, and hundreds of other platforms.
Can I share my Looker Studio dashboard with clients or stakeholders?
Yes. Looker Studio dashboards can be shared with specific Google accounts (view or edit access), shared via a link (view-only or editable), or embedded in a website or intranet page. You can also schedule automated email delivery of dashboard snapshots to stakeholders who prefer reports pushed to them rather than logging in. We configure appropriate sharing permissions as part of every dashboard we build.
What is data blending in Looker Studio and when do I need it?
Data blending combines data from multiple sources in a single chart — for example, showing GA4 sessions alongside Google Ads spend and conversions in one table, or comparing organic sessions from Search Console with paid sessions from Google Ads on the same chart. It requires a join key (typically date) and careful configuration to avoid misleading results. We use data blending where appropriate and BigQuery-based pre-aggregation for complex multi-source scenarios where blending would create accuracy issues.
Why do some Looker Studio dashboards load slowly?
Slow Looker Studio dashboards are usually caused by: too many charts per page (each queries the data source separately), using unoptimised GA4 connections with large date ranges and many dimensions, blended data sources with complex joins, or live BigQuery connections scanning raw event tables on every load. We address all of these with page design optimisation, pre-aggregated BigQuery views, and data source caching where appropriate.
Can Looker Studio dashboards update automatically?
Yes. Looker Studio dashboards connected to GA4, Google Ads, and other live sources update automatically — typically with a data freshness of 12 hours for GA4 and near real-time for Google Ads. BigQuery-backed dashboards using scheduled queries update on the schedule you define. You can also set viewer-level data freshness (forcing a refresh when someone views the report) or use manual refresh triggers.
What is a calculated field in Looker Studio?
A calculated field is a custom metric or dimension you define using a formula — similar to a calculated column in a spreadsheet. Examples include: blended ROAS (revenue divided by ad spend), conversion rate (conversions divided by sessions, expressed as a percentage), average order value (revenue divided by transactions), or custom segment labels based on dimension values. We build all the calculated fields your dashboard needs as part of our development service.
Can I use Looker Studio without knowing SQL?
Yes — standard Looker Studio dashboards connect directly to GA4, Google Ads, and other sources without any SQL knowledge required. However, for advanced use cases (cross-source attribution, custom cohort analysis, complex metric calculations), we use BigQuery as the data layer with pre-written SQL queries that power the Looker Studio charts. Your team interacts with the finished dashboard without ever needing to touch SQL.
Can Looker Studio replace my current Excel or PowerPoint reporting?
For the vast majority of recurring marketing and analytics reports, yes. Looker Studio produces live, automatically-updated reports that eliminate the weekly manual export-and-format cycle. Stakeholders access the same dashboard for the latest data rather than waiting for the next report cycle. For one-off analysis or presentations requiring heavy narrative context, PowerPoint may still be used — but the underlying data can come from a Looker Studio export rather than manual pulling.
