Does Tellius Integrate with Google Looker?

Thinking about how your analytics stack fits together can be confusing, especially when clarifying which tools connect directly to which. If you're wondering whether you can plug the AI-driven analytics platform Tellius into Google's Looker Studio for your reporting, you've come to the right place. This article breaks down how Tellius and Looker Studio work together, the typical workflow for using both, and why you might want to consider this powerful combination.

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First, The Short Answer: It’s a Partnership, Not a Direct Connector

There is no direct, one-click connector that lets you pipe Tellius analyses straight into a Looker Studio report. You can't simply open Looker Studio, click "Add Data," and find "Tellius" in the list of native connectors. However, that doesn't mean they can't be used together effectively. It just requires a different approach.

Tellius and Google Cloud (Looker Studio's parent company) are official partners. This partnership is centered on using a shared data source - typically a cloud data warehouse like Google BigQuery - as the bridge between them. Think of it less as a direct integration and more as a collaborative workflow where each tool plays to its strengths to get you from raw data to actionable insight.

Understanding the Role of Each Tool

To see how they fit together, it’s important to understand what each platform is designed to do exceptionally well. While they both deal with data, they solve very different problems.

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What is Tellius? The "Why" Engine

Tellius is an AI-powered decision intelligence platform. Its core job is not just to show you what is happening in your data, but to automatically uncover why it's happening. It’s built for augmented analytics, using machine learning to sift through millions of data points and surface the key drivers, trends, and anomalies you might have missed.

You interact with Tellius using natural language search, much like you would with a search engine. For example, instead of manually building filters and charts, you could simply ask:

• "Why did our user retention drop in the last 30 days?"
• "What are the key drivers for high-value customers in California?"
• "Compare revenue from Facebook Ads vs. Google Ads for Q1."

Tellius automatically uncovers hidden patterns and delivers insights that would take an analyst hours or even days to find manually.

What is Looker Studio? The "What" Visualizer

Looker Studio (formerly Google Data Studio) is a powerful and user-friendly data visualization and reporting tool. Its primary strength lies in creating clean, shareable, and interactive dashboards from a wide variety of data sources. It’s excellent for monitoring key performance indicators (KPIs) and sharing business performance with stakeholders.

Looker is perfect for answering the "what" questions:

• "What was our total website traffic last month?"
• "What is the demographic breakdown of our new signups?"
• "Show me a line chart of our weekly sales figures."

You choose your metrics and dimensions, select a chart type, and build a report. It's fantastic for regularly reporting on numbers you already know you need to track.

So, Tellius is for discovery and diagnosis, while Looker Studio is for reporting and monitoring.

How to Make Tellius and Looker Studio Work Together

The synergy between Tellius and Looker Studio happens within your data warehouse. You use Tellius to run your deep-dive analysis, save your findings back to the warehouse, and then pick them up in Looker Studio to create polished visualizations for your team.

Here’s what the step-by-step workflow looks like:

Step 1: Use a Central Cloud Data Warehouse

This is the foundation of the entire process. Both Tellius and Looker Studio need to be connected to the same source of truth. Cloud data warehouses like Google BigQuery, Snowflake, Databricks, or Amazon Redshift are ideal for this. Your raw data from marketing platforms, sales CRMs, and product databases all gets consolidated here.

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Step 2: Connect Both Platforms to Your Warehouse

Once your data is centralized, you'll establish a connection from both tools. Tellius connects to your warehouse to access the data it needs for its AI analysis. Separately, Looker Studio also connects to that same warehouse to pull data for its dashboards.

Step 3: Discover the "Why" in Tellius

This is where the magic starts. Let's say you notice in a standard Looker dashboard that sales dropped last week. The dashboard shows you what happened, but it can't tell you why. You would then switch over to Tellius.

In Tellius, you could run a search like, "Find the reason for the sales drop last week." The Tellius AI engine would then analyze relationships across all your data dimensions - product categories, customer segments, geographic locations, marketing channels, and more - and deliver an insight. For instance, it might discover that the sales drop was driven by a single product line having inventory issues in the Northeast region, a problem you weren't even looking for.

Step 4: Materialize Your Insight as a "View"

Once Tellius surfaces a critical insight, you aren't stuck with just viewing it inside Tellius. The platform allows you to take the underlying data from that specific insight and save it back to your data warehouse as a new table or 'materialized view.' This new table contains a clean, curated slice of data that directly represents your finding.

Step 5: Visualize the Insight in Looker Studio

Now, you can jump back into Looker Studio. Since it's already connected to your data warehouse, you can simply add your newly created view as a data source. Now you can build charts, tables, and scorecards visualizing the very specific insight Tellius uncovered. You could build a report for your operations team titled "Inventory-Driven Sales Drop in the Northeast," complete with charts showing the exact product SKUs and regions affected.

This workflow transforms Looker Studio from a simple KPI monitor into a platform for communicating deep, AI-driven insights to the rest of the organization.

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A Practical Example: Analyzing Marketing Campaign Performance

Let's walk through another real-world scenario. Imagine you're a marketing manager, and a recent campaign had mixed results. Your goal is to figure out what segments worked and which wasted money.

1. The Data: All your ad spend data from Facebook Ads and Google Ads, along with conversion data from your Shopify store, is consolidated into Google BigQuery.
2. The "What" Question (in Looker Studio): You build a standard Looker dashboard showing overall Cost Per Acquisition (CPA) and Return on Ad Spend (ROAS). You see that the campaign ROAS was barely profitable, but the dashboard doesn't tell you where the problem lies.
3. The "Why" Question (in Tellius): You go to Tellius, which is connected to the same BigQuery data, and ask, "What are the key drivers for poor ROAS in my Q2 campaign?"
4. The AI-Powered Insight: Tellius analyzes thousands of combinations and finds that ads shown to users aged 18-24 on Instagram Stories in rural zip codes had an exceptionally high CPA and almost zero conversions. This segment was burning your budget.
5. Create the Actionable View: You save this finding as a new view in BigQuery called q2_campaign_underperformers.
6. Visualizing for Action (in Looker Studio): In Looker Studio, you create a new one-page report using the q2_campaign_underperformers view. It clearly shows the failing demographic, placement, and geographic data. You can now confidently share this with your team and make an informed decision to pause spending on that specific segment for future campaigns.

The Power of "What" vs. "Why" Reporting

Using Tellius and Looker Studio together allows you to create a complete analytics workflow that covers both descriptive analytics ("what happened") and diagnostic analytics ("why it happened").

• Looker Studio handles the ongoing monitoring. It’s your business's health dashboard, showing you the vital signs every day.
• Tellius acts as your on-demand data scientist. When a vital sign looks off, Tellius is the tool you use to diagnose the underlying cause without needing a PhD in statistics or spending days slicing and dicing data.

This combination empowers teams to move beyond simply reporting on numbers and toward making faster, data-informed decisions based on deep, meaningful insights.

Final Thoughts

So, while Tellius doesn’t directly plug into Looker Studio as a data connector, they form a powerful alliance through a shared data warehouse. By using Tellius for deep-dive analysis and saving those findings for visualization in Looker Studio, you can elevate your reporting from basic metrics tracking to storytelling backed by AI-driven insights.

Here at Graphed, we admire this powerful workflow but also recognize that managing multiple platforms and a data warehouse can be complex. We built our platform to bring the entire analytics process into a single, conversation-driven experience. You can connect your marketing and sales data directly, ask questions in plain English just like a search engine, and get live, interactive dashboards built for you automatically. We took inspiration from the power of diagnostic AI and the simplicity of great visualization tools to create one unified platform where you can go from data to insight to a beautiful report in seconds.