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Marketing teams rely on Kondado to replicate social listening data from Stilingue directly into Data Studio, enabling interactive dashboards without coding, server management, or complex technical infrastructure. You simply select Stilingue as your data source and designate Looker Studio as your destination to begin analyzing customer sentiment, brand perception, and emerging social trends immediately.
Kondado replicates 139 fields from 5 Stilingue pipelines including Sentiment by Terms, Sentiment by Themes, and Sentiment by Hashtags, updating on a configurable schedule from every 5 minutes to daily, with no intermediate database required.
This direct connection helps marketing agencies, brand managers, and customer experience teams monitor reputation trends, track how sentiment shifts during campaigns, and share actionable insights with stakeholders through fully automated reports. Instead of downloading CSV files manually or maintaining complex spreadsheets, your Data Studio dashboards stay current automatically, supporting faster strategic decision-making based on near-real-time social listening data.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
With Stilingue data flowing into Data Studio, you can visualize reputation metrics through specific pipelines like Sentiment by Hashtags to track campaign-specific conversations or Sentiment by Groups to analyze different audience segments. The Sentiment by Terms pipeline reveals exactly how specific keywords and brand mentions perform across positive, negative, and neutral classifications, helping you identify emerging reputation risks or viral opportunities before they escalate.
Marketing directors and agency teams use these combined insights to adjust messaging strategies quickly, compare sentiment fluctuations across multiple product launches, and present clear evidence of brand health to executives through dynamic charts. By connecting social listening directly to your reporting workflow, you eliminate manual data preparation and focus entirely on extracting actionable intelligence from customer conversations.
Try out all the features for free for 14 days
| Integration | Description |
|---|---|
| Sentiment by Terms | Analyzes sentiment towards specific terms, presenting metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
| Sentiment by Themes | Evaluates sentiment towards themes, including metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
| Sentiment by Hashtags | Examines sentiment associated with hashtags, featuring metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
| Sentiment by Tags | Investigates sentiment towards tags, presenting metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
| Sentiment by Groups | Analyzes sentiment towards groups, with metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
Try out all the features for free for 14 days
Visualize your data automatically — no spreadsheet exports or custom scripts.
Log into Kondado and select Stilingue from the available sources, then authenticate your account to establish the connection.
Choose Looker Studio as your destination to send Stilingue sentiment data directly without intermediate databases or complex routing.
Create your reports in Data Studio using the available pipelines, then configure your preferred update frequency to keep sentiment metrics current automatically.
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Answers about visualizing Stilingue data in Data Studio automatically
Try out all the features for free for 14 days