NEW YORK — Kepler, the global digital marketing agency and member of the kyu Collective, today announced that they have engineered Google’s Meridian framework directly into the Kepler Intelligence Platform (Kip), creating a faster, more accurate solution for advertisers. This integration unifies Kip’s high-speed data infrastructure with Google’s proprietary insights and methodology to simplify marketing measurement.

For decades, MMM has been defined by high costs, slow outputs, and fragmented data. Brands often wait up to six months for reports that look backward, not forward. By combining Kepler’s data warehouse and deep media expertise with Google Meridian’s advanced Bayesian architecture, brands can now access sophisticated, accelerated ROI insights alongside their daily media performance.

The End of the Guessing Game

For Kepler, the integration unlocks access to Google Ads delivery datasets that were previously inaccessible to standard models. Meridian’s inclusion of Google Query Volume (GQV) and YouTube Reach & Frequency grants marketers unprecedented visibility into consumer touchpoints. These inputs reveal saturation levels and insights that have historically been blind spots for standard industry models.

Data is only as valuable as the certainty it provides. To ensure precision, the framework calibrates using Bayesian priors. This capability allows brands to anchor the model with proven experiment results, grounding statistical estimates in verified reality.

"The old way of measuring is obsolete. You cannot navigate a modern market with only a six-month-old map in hand," said Garrett Dale, Chief Partnership Officer at Kepler. "We are thrilled that Google has provided the data signals needed to truly elevate the modern marketing mix model. Together, we have replaced opacity with transparency, bringing clarity to the chaos, so our clients understand the impact of every media channel.” 

The integration offers critical advancements for Fortune 500 advertisers:

• Proprietary Signal Access: Kip utilizes Google Query Volume (GQV) to separate paid media impact from organic demand, ensuring brands only pay for the lift their media creates. Additionally, direct access to YouTube Reach & Frequency data provides granular visibility into saturation, revealing precisely where efficiency declines.
  
  

• Geo-Granularity: By utilizing geo-level inputs, the model ingests a higher volume of data points to inform its analysis. This increase in signal reduces statistical noise, resulting in a more robust and precise calculation of media impact.
  
  

• Accelerated Deployment: By utilizing Kip’s pre-standardized data infrastructure, the integration removes the need for lengthy setup or new contracts. This frictionless pipeline enables accelerated model deployment, ensuring insights can turn to action. 
  
  

• Enhanced Transparency: The Bayesian framework moves beyond static baselines to track the dynamic rhythm of business performance. This provides total clarity into the model's logic, exposing the critical assumptions that shape your results.