An advertiser relies heavily on incrementality to measure offline and online media and is considering adopting a Marketing Mix Model for the first time. The director of analytics is considering both third-party and in-house solutions. They have a budget to run a third-party Marketing Mix Model (MMM) and a robust data science team who could build an in-house model. They spend the majority of their media budget on digital and prioritize measurement solutions that are digital-savvy. In what two ways would Meridian, Google's open-source MMM solution, be a good fit for this advertiser? Select two answers.

The advertiser has in-house data science expertise to build and maintain Meridian.

Meridian helps advertisers evaluate all media, but especially digital, with more accuracy and actionability.

The advertiser has allocated funds to run an MMM through a third-party vendor.

Meridian is a replacement for the advertiser's own multitouch attribution and incrementality testing.

Explanation

Analysis of Correct Answer(s)

The two correct answers highlight how Meridian's features align with the advertiser's specific needs for a modern, privacy-safe measurement solution.

  • "Meridian helps advertisers evaluate all media, but especially digital, with more accuracy and actionability." This is a core benefit of Meridian. Traditional Marketing Mix Models (MMMs) often struggle to provide granular insights into digital channels. Meridian is designed to be digital-savvy, offering more precise and useful recommendations for digital media. Since the advertiser spends heavily on digital and prioritizes this type of measurement, Meridian is an excellent fit.

  • "Meridian is a replacement for the advertiser's own multitouch attribution and incrementality testing." As privacy regulations evolve and third-party cookies are phased out, user-level measurement like multi-touch attribution (MTA) becomes less feasible. MMMs, including Meridian, provide a powerful, privacy-centric alternative by using aggregated data. They serve as a strategic replacement to help advertisers understand channel effectiveness and overall incrementality in a changing landscape.

Analysis of Incorrect Options

  • "The advertiser has in-house data science expertise to build and maintain Meridian." While having a data science team is a prerequisite for implementing an open-source tool like Meridian, it is not a benefit or outcome of the model itself. The question asks how Meridian is a good fit, focusing on the value it provides, not the conditions required to use it.

  • "The advertiser has allocated funds to run an MMM through a third-party vendor." This describes an alternative path the advertiser could take. Choosing Meridian means opting for an in-house, open-source solution, making the budget for a third-party vendor irrelevant to this choice.