What it is
The Google Looker Studio Connector allows you to export Keyword.com data into Looker Studio (formerly Data Studio).
You can create dashboards using:
Keyword Current Ranking Data
Share of Voice (SOV) Data
This gives you full flexibility to visualize, filter, segment, and blend your SEO data.
Why it matters
While Keyword.com provides powerful native dashboards, Looker Studio allows you to:
Create fully customized reports
Combine Keyword.com data with other data sources
Build white-labeled client dashboards
Create executive-ready reporting views
Segment data by project, group, or tag
It is ideal for agencies, multi-client teams, and advanced reporting workflows.
π₯ Video walkthrough
Watch a step-by-step walkthrough of how to connect and use the Google Looker Studio Connector:
In this video, we cover:
Connecting the connector
Choosing the correct dataset
Adding it to Looker Studio
Building your first dashboard
Available data sets
When creating a connector, you can choose between two datasets.
1. Keyword ranking data connector
This dataset provides comprehensive ranking and performance metrics.
Data Available
Field | Description |
Ranking Metrics |
|
Keyword | The specific term you are tracking. |
Rank | The current position of your keyword on Google search results. |
Best Rank | The highest rank the keyword has achieved over its tracking history. |
1-Day Movement | Change in keyword rank compared to the previous day. |
7-Day Movement | Change in keyword rank compared to seven days ago. |
30-Day Movement | Change in keyword rank compared to thirty days ago. |
Lifetime Movement | Overall change in keyword rank since tracking began. |
Keyword Metrics |
|
Search Volume | The average number of times the keyword is searched monthly. |
Search Intent | Indicates the purpose behind the search (Informational, Navigational, Transactional, etc.). |
SERP Features | Special elements (like featured snippets, site links) that appear on the search results page. |
Feature URL Data | URLs associated with SERP features for the keyword. |
Search Results | Total number of results returned by Google for the keyword. |
Traffic & Value Metrics |
|
Clicks | The number of clicks generated by the keyword. |
Competition | Indicates how competitive the keyword is in paid search. |
CPC (Cost Per Click) | The average cost per click if bidding on the keyword in Google Ads. |
CTR (Click-Through Rate) | The percentage of people who click on your link after seeing it in search results. |
Estimated Traffic Value | The estimated monetary value of the traffic generated by the keyword. |
Impressions | The number of times your link appeared in search results. |
Visibility Metric | A score representing how visible your website is in search results. |
This allows you to build:
Ranking trend dashboards
Keyword performance reports
Traffic value analysis
Visibility performance tracking
2. Share of Voice (SOV) connector
The Share of Voice connector focuses on competitive visibility.
Data available
Domain
SOV % by Day (last 7 days)
Latest Score
% Change
This allows you to:
Track market share
Compare brand visibility
Identify competitive shifts
Build competitive leaderboards
How to set up the connector
Step 1: Navigate to Integrations
Login to Keyword.com
Click your profile icon (top right)
Select Integrations β Google Looker Studio Connector
Step 2: Authorize Google
Authenticate your Google account
Grant permissions for Looker Studio
Step 3: Choose dataset
Select:
Ranking Data
orShare of Voice
Then choose the data scope:
Project
Group
Tag
Step 4: Generate connector URL
Click Generate Connector URL.
Copy the URL and paste it into Google Looker Studio as a new data source.
β οΈ Important Notes:
Data reflects what is available inside Keyword.com
GSC data will only appear if GSC is connected
Share of Voice calculations are based on weighted CTR Γ search volume
Connector access depends on your Google permissions
Customizing your reports
Once connected in Looker Studio, you can:
Build line charts for ranking movement
Create visibility score dashboards
Track SOV trends over time
Blend ranking + SOV datasets
Filter by keyword, date, tag, or project
Combine with GA4 or other business data
Best practices
Create separate connectors per project for cleaner dashboards
Use tag-based connectors for segmented reporting (e.g., Brand vs Non-Brand)
Blend Ranking Data + Share of Voice for full competitive analysis
Use Looker Studio filters to create client-specific views.
