Metricool Looker Studio: How to Connect and Build Reports

If you’re building social media reports for clients or your own brand, the Metricool Looker Studio connector is one of the cleanest ways to pull every piece of your data, across every brand and every network, into a fully customizable dashboard. This guide walks through how to connect Metricool to Looker Studio, how the data is organized once it’s there, and what to watch out for so your first report doesn’t break on you.

One quick heads up: in April 2026, Google renamed Looker Studio back to Data Studio. Nothing changed about the product itself, and Metricool’s connector still works exactly the same. The Metricool app and help docs still use “Looker Studio” because product UIs take time to catch up with a Google rebrand, so that’s the name we’ll use throughout this guide. If you see “Looker Studio” inside Metricool, it means Data Studio.

What Is Looker Studio (Now Data Studio)?

Looker Studio is Google’s free tool for turning data into customizable reports and dashboards. Google launched it as Data Studio in 2016, rebranded it to Looker Studio in 2022, and renamed it back to Data Studio in April 2026.

The 2026 rebrand also drew a clearer line between two products. Data Studio is the free, self-service reporting tool you’d use for social media reports. Looker is Google’s separate enterprise platform built around governed semantic models. The shared “Looker” name had been blurring both products’ positioning, so Google split them apart.

Existing reports, data sources, permissions, and shared links carry over automatically, and the old lookerstudio.google.com address redirects to datastudio.google.com.

There are two plans. The standard version is free. Data Studio Pro (formerly Looker Studio Pro) is the paid version with team workspaces, scheduled report delivery to Google Chat, threshold alerts on charts, personal report links, and access to Google Cloud Customer Care.

How to Connect Metricool to Looker Studio

The Metricool Looker Studio connector is available on the Advanced and Custom plans, and the setup runs on an access token. To connect analytics to Looker Studio, you must have at least one social media network connected to your Metricool account.

Once it’s done, you don’t have to think about it again.

Find Your Access Token

The token is in two places inside Metricool:

• Connections > Connect Account. Click the button and copy the token shown there.
• Account Settings > API > Access token. Same token, different path.

Create the Data Source

Two routes here, depending on where you want to start.

Option A: Start from Metricool. On the Connections screen, click Create data source. Metricool sends you into Data Studio with the connection already started. If you want a head start on the report itself, use the Metricool Template button to load Metricool’s prebuilt report instead of building from a blank page.

Option B: Start in Data Studio. Copy your token, then go to the Metricool connector at metricool.com/go/dsc. Authorize it, choose the account, grant access to Metricool, and paste in your API token. You only do the token step once. Just remember that if you ever regenerate that token in Metricool, your live reports will lose their connection until you paste the new one back in.

Choose How to Pull Your Brands

When you set up the data source, you’ll pick how Metricool feeds data in. There are three options, and the first one is the recommended starting point:

• One brand, all data (the intelligent connector). Select a single brand and the connector pulls every field from every social network into one data source. You can also hand-pick which networks to include. If you choose “Just organic (without ads),” it leaves out the dedicated ads metric and dimension groups but still includes promoted data when a network reports it. This is the setup most reports are built on.
• Blend brands statically. Combine a fixed selection of brands you choose by hand. Useful when you want to compare a defined set of accounts.
• Blend brands dynamically. Combine brands automatically based on a pattern, so the set updates as your brands change. Useful for agencies whose roster shifts.

Before you finish, turn on “Use the report template in new reports” if you want every new report to open with Metricool’s template already applied. Saves building from scratch each time.

How Metricool Data Is Organized in Looker Studio

Once the connection is live, Metricool’s data shows up in Looker Studio organized the same way it is inside Metricool. Metricool can send analytics from Facebook, Instagram, Threads, Bluesky, X, LinkedIn, TikTok, YouTube, Pinterest, Google Business Profile, Twitch, and supported ad platforms into Data Studio.

Knowing the structure upfront saves a lot of broken charts later.

Dimensions vs. Metrics

Two concepts come up everywhere in Looker Studio:

• Dimensions are categories or attributes that break your data down. Evolution date, country, post text, network. They’re how you group things.
• Metrics are the numbers you’re measuring. Followers, clicks, impressions, reach.

To chart your Instagram follower growth over time, the dimension is evolution date and the metric is followers. Get comfortable with that pairing and most of the tool clicks into place.

The Four Data Blocks

Inside your reports, the Metricool connector fields are grouped into four main blocks. Each block has a “root,” which is the part of the field name that appears before the > symbol:

• Evolution. Time-based metrics like followers, views, or clicks. The main dimension is evolution date. Example field: Facebook Evolution > Followers. This is what you’ll use for time series charts and scorecards.
• Demographics. Audience data like age, gender, and country. Available for Facebook, Instagram, and YouTube. Best for audience breakdowns. Example field: YouTube Demographics > Country Followers.
• Posts. Information about your individual posts and how they performed. Best for tables and lists of posts or stories. Example fields: LinkedIn Posts > Clicks, Instagram Stories > Reach.
• Competitors. Data on your competitors and their content, for benchmarking against accounts outside your own. Example fields: Facebook Competitors > Display Name, Fb Competitors Posts > Text.

Ad Data Structure

Reports can combine organic social metrics with ad performance data from Meta, TikTok, and Google Ads, so you can see paid and organic results side by side.

Ad data has its own structure on top of those blocks. What’s available depends on the platform and the level of analysis:

• Meta Ads. Evolution, Campaigns, and Ads.
• TikTok Ads. Evolution, Campaigns, and Ads.
• Google Ads. Evolution, Campaigns, and Keywords.

Keep Fields from the Same Group Together

One rule prevents most errors: when you combine fields in a chart, they should come from the same block. You can put Instagram Posts > Likes next to Instagram Posts > Comments, but mixing Posts fields with Stories fields will throw an incompatibility error.

The exception is the Evolution block. Those fields can be combined across different networks as long as they share the evolution date dimension, which is how you build a single chart showing follower growth on Instagram and Facebook side by side.

Watch out for filters too. If you apply a filter using a field from a different block than the rest of the chart, you’ll get the same error. If a chart breaks, the first thing to check is whether all the fields, including any filters, come from the same group.

What You Can Build with Metricool and Data Studio

With the connection live, you can build interactive dashboards that pull directly from your Metricool accounts. Custom charts, tables, maps, your brand colors and fonts, automatic data refreshes, live collaboration with teammates, and sharing with anyone inside or outside your organization.

With Data Studio you can:

• Monitor social performance across all your connected brands and networks
• Track ad results from Meta, TikTok, and Google Ads next to your organic numbers
• Compare objectives and progress across multiple brands
• Share read-only reports with clients, no Metricool login needed on their side
• Centralize reporting for every brand you manage

For someone newer to the tool, the basic flow of building a report goes:

1. Create a report. Sign in at datastudio.google.com, click Create, and select Report. You can start from a blank report or pick one of the prebuilt templates in the gallery.
2. Connect a data source. Add the Metricool connector following the steps above, or connect other sources like Google Analytics, BigQuery, or Google Sheets if you want to blend data from outside Metricool. Data Studio supports hundreds of connectors in total.
3. Add charts and controls. Drop charts onto the canvas and assign dimensions and metrics to them. Add controls like date range pickers and filters so viewers can adjust what they see without editing the report. If a number you want isn’t in the field list, like engagement rate or cost per result, you can build it yourself with a calculated field.
4. Style it. Apply a theme, set your brand colors and fonts, add a logo, and arrange everything the way you want.
5. Share it. Send a view or edit link, schedule email delivery, or embed the report on a web page.

Data Studio offers more than 30 chart types, including time series, bar, pie and donut, scorecards, tables, pivot tables, geo maps, Google Maps, treemaps, bullet charts, gauges, sankey, waterfall, and funnel charts. You pick the visualization, then assign which dimensions and metrics feed it.

Metricool’s prebuilt template is the fastest way to start. It’s already wired to the intelligent connector, so it knows how the fields are structured. Starting from the template and editing down is faster than building a report field by field, especially while you’re still learning the tool.

What to Watch Out For

Time zones don’t match by default. Data Studio uses London time (GMT/UTC+0) unless you change it. Metricool shows data based on the time zone set in your account. If you’re working in a different region, you’ll see small differences between the two. Worth knowing before you spend an hour trying to reconcile a number that’s off by a day.

Metricool data runs a day behind. Metricool doesn’t include the current day. It shows data up to the previous day. Data Studio can display current-day data when the social network provides it, so a fresh Data Studio chart might show numbers Metricool’s own dashboard hasn’t caught up to yet.

Historical data starts at 30 days. When you first connect a brand, Looker Studio shows the previous 30 days, then builds your history forward from there as Metricool collects more. A few numbers don’t backfill at all and only start counting from the day you connect, including follower counts on Instagram, TikTok, X, Threads, Bluesky, and personal LinkedIn profiles, along with YouTube subscribers and Instagram Stories. If an early date range looks empty, that’s usually why.

The followers number can look inflated. Followers is a daily snapshot, so if you total it across a month, Looker Studio adds up every day’s count and a brand with 5,000 followers can show as hundreds of thousands. To fix it, open the field, switch its aggregation from Sum to Max, and you’ll see the real count.

Templates beat blank pages. Metricool’s report template is built for the intelligent connector, so it already knows how the fields are structured. Starting from the template and editing down is faster than building from scratch, especially while you’re still learning the tool.

The connector reaches everything in your account. All your connected brands and their websites, social networks, and ad platforms are queryable from inside Data Studio. You’re not limited to one network per data source if you set it up with the intelligent connector.

You can also find Metricool’s full list of available connector fields in the documentation, which is the reference to keep open while you build.

Other Ways to Report with Metricool

The Looker Studio connector isn’t your only option. It’s the right call when you want full design control or you need to blend Metricool data with other sources like Google Analytics or BigQuery. It does come with a learning curve, though, and it lives outside Metricool. For plenty of jobs you don’t need to leave the platform at all, because Metricool has three reporting tools built in.

Standard Reports are the classic Metricool report: a clean, branded PDF or PowerPoint you can send a client every month. You pick the period, the networks, the language, the sorting, and your logo, then download. You can also schedule them to go out automatically on the same day each month, with a custom recipient list and a personalized message. On Advanced and Custom plans, you can build report templates per brand to reuse across downloads, controlling pages and sections, background and logo, and the color palette. Good fit for recurring monthly recaps you don’t want to think about.

Campaign Dashboards pull the organic posts and paid ads from a single campaign into one place, so you can see how a launch or seasonal push performed across every channel you used. You set the campaign name, description, date range (up to 90 days), and channels, then Metricool suggests posts that match. After syncing, you get a content summary, the top 5 posts by impressions or interactions, and AI Insights, which is a written breakdown of what worked and what to do next. AI Insights need at least 10 posts in the dashboard to generate, and you can edit the wording before sharing. Share via a read-only public link, no Metricool account required on the recipient’s side. Good fit when you’re reporting on a specific campaign rather than a whole account.

Metricool Studio builds reports from a prompt. You describe the report you want in plain language, and Studio puts together the charts, tables, and written commentary for you. Guided mode walks you through the choices step by step, and Expert mode is a free-text prompt for more specific requests. You can choose fixed date ranges or relative ones (this week, this month), and relative periods refresh on their own when you re-sync the view, so you’re not resending a new link every week. Good fit for AI-drafted analyses, multi-brand comparisons, and period-over-period views without building anything from scratch.

Here’s the quick comparison:

The data underneath all four is the same: your connected accounts and the metrics Metricool collects. Different audiences just get different formats from the same source. The three in-platform options each have their own setup worth walking through. [Link to the dedicated reporting methods article here.]

Reporting Made Easy with Metricool Looker Studio Connector

Reporting setup is one of those things you’d rather do once than every month. The Metricool Looker Studio connector earns its place there: paste the token, pick the intelligent connector, start from the template, and the next report becomes a copy-and-adjust job rather than a fresh build.

The data structure does most of the work for you once you’ve used it a couple of times. Four blocks, one rule about keeping fields together, the evolution exception when you need cross-network charts. If a chart breaks, you almost always know which block to check first.

And when a Looker Studio dashboard isn’t the right format for the audience, the three in-platform options cover the rest. Different formats, same underlying data, picked based on who’s reading.