Overview
Looker is a business intelligence and data visualization platform owned by Google Cloud. It lets you build customizable dashboards and reports that pull from multiple data sources. This gives you a centralized view of performance across channels.
While some MNTN customers use Looker to visualize MNTN campaign data, MNTN does not offer an institutional Looker integration or partner connector. MNTN data can reach Looker through indirect methods, but because those workflows sit outside of MNTN's direct integrations, MNTN cannot validate or support reporting discrepancies that originate in Looker.
📝 Note: MNTN recommends using MNTN platform reporting or an integrated measurement partner such as Rockerbox, Northbeam, or Google Analytics as your source of truth for performance metrics and optimization decisions. These integrations preserve MNTN-defined metrics and cross-device attribution for consistent, validated measurement. Looker is best used for visualization and multi-channel reporting, not as a primary measurement source.
Why it matters
Why it matters
Adding MNTN data to Looker allows you to analyze campaign performance alongside your broader marketing and business data. This makes it easier to understand trends, ROI, and cross-channel performance without switching between siloed dashboards.
How it works
How it works
MNTN data reaches Looker through one of two indirect paths:
Google Analytics — Connect MNTN to Google Analytics using MNTN's institutional integration. From there, you can pull MNTN data into Looker using the Google Analytics connector. This is MNTN's recommended approach because attributed performance will de deduped across channels.
Manual export — Export MNTN reporting data as a CSV, Excel file, or directly into Google Sheets, then upload it into Looker as a data source. This method reflects MNTN platform attribution and will not deduplicate performance across other channels.
Once MNTN data is available in Looker, you can query it alongside other marketing, revenue, and customer data to build centralized dashboards, run cross-channel analysis, and monitor metrics like spend, impressions, conversions, ROAS, and engagement over time.
⚠️ Warning: Metric definitions, attribution logic, and data transformations may differ from the MNTN platform reporting depending on how Looker models and queries your data. Because MNTN does not control these configurations, MNTN is unable to validate or support discrepancies that originate in Looker.
Set It Up
MNTN data can reach Looker through two paths. Choose the one that fits your reporting needs.
Option 1: Use Google Analytics to connect MNTN to Looker
These steps can be in either order. Connect:
MNTN to Google Analytics using Connect Google Analytics.
Google Analytics to Looker using Google's connector documentation.
💡 Pro Tip: The Google Analytics path is recommended because it deduplicates attributed performance across channels, giving you a cleaner view of MNTN's contribution to your results.
Option 2: Manually export MNTN data into Looker
Sign in to your MNTN account.
Click the Reporting tab.
Navigate to the report you want to export.
Select the Download button in the report table to export your data as a CSV, Excel file, or directly to Google Sheets.
For instructions on connecting these file types in Looker, use Google's Looker help documentation:
Quick Answers
Does MNTN have an integration with Looker Studio Pro (paid version)?
Does MNTN have an integration with Looker Studio Pro (paid version)?
Looker Studio Pro (paid version) requires MNTN data to plug into a data warehouse like BigQuery or Snowflake as an intermediary. MNTN doesn’t have an institutional connection to data warehouse platforms at this time. Instead, customers can get MNTN data into BigQuery (and then Looker) by integrating MNTN with Google Analytics. The connection would be MNTN > Google Analytics > BigQuery > Looker Studio Pro (paid version).
What can I expect my MNTN data to look like in Looker?
What can I expect my MNTN data to look like in Looker?
Metrics and attribution in Looker may differ from MNTN’s platform reporting based on how it is modeled. Because MNTN doesn’t control these configurations and they are highly customized we can’t validate or support reporting discrepancies that originate in Looker.