Great for Performance Marketing Dashboards.
January 21, 2026

Great for Performance Marketing Dashboards.

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Looker Studio

Marketing channel level analysis is what we typically use Looker for. It helps provide insight into performance at the channel, ad, and campaign levels.

Pros

  • Seamless Integrations.
  • Easy to create dashboards.
  • Simple to collaborate with.

Cons

  • Weak predictive insights.
  • Limited customization for visualization.
  • Lacks automation features for exporting signals/data.
  • full visibility into marketing funnel, ad spend more efficient.
  • Increase in KPIs due to insights into daily spend and performance.
  • Increase in ROI due to insights into campaign lead/demo rate.
Looker Studio is a well-suited product, a few steps above using internal CRM tools like HubSpot or Salesforce. It lacks some more advanced or fancy features; however, its ease of use and the visibility it provides are a great alternative for teams that need to make data-driven optimizations.

Do you think Looker Studio delivers good value for the price?

Yes

Are you happy with Looker Studio's feature set?

Yes

Did Looker Studio live up to sales and marketing promises?

Yes

Did implementation of Looker Studio go as expected?

Yes

Would you buy Looker Studio again?

Yes

Looker is cost-effective compared to other solutions. If you're looking for a great product with amazing features, this is the one. Some limitations with automation, customizing dashboards with colors and fonts, and advanced predictive data models. If your stack is looking for more complex data tools that leverage AI features, I would recommend an alternative.

Looker Studio Feature Ratings

6.5
Pre-built visualization formats (heatmaps, scatter plots etc.)
8
Location Analytics / Geographic Visualization
9
Predictive Analytics
2
Pattern Recognition and Data Mining
7
4.7
Customizable dashboards
2
Report Formatting Templates
6
Pixel Perfect reports
6
6.3
Drill-down analysis
3
Formatting capabilities
4
Integration with R or other statistical packages
8
Report sharing and collaboration
10
7.8
Publish to Web
8
Publish to PDF
8
Report Versioning
9
Report Delivery Scheduling
7
Delivery to Remote Servers
7

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