About Google Ads
Google Ads is the dominant platform for search, shopping, and display advertising, capturing high-intent demand at the moment consumers are actively looking for products and services. With campaign types spanning Search, Shopping, Performance Max, Display, YouTube, and Discovery, it is a cornerstone of nearly every omnichannel media mix.
How Prescient AI measures Google Ads
Prescient AI ingests spend, impressions, clicks, and conversion data from your Google Ads account across all campaign types. The Marketing Mix Model evaluates each campaign's incremental contribution to revenue, distinguishing between branded search (which often captures existing demand) and non-branded search, shopping, and display (which generate new demand). This three-layer granularity — channel, tactic, campaign — gives you an honest view of where Google Ads is driving growth versus where it is simply harvesting conversions initiated by other channels.
Why measure Google Ads with a Marketing Mix Model
Google Ads' last-click attribution systematically overcredits search campaigns that capture demand built by upper-funnel media like paid social, CTV, and influencer. Without a Marketing Mix Model, brands tend to over-invest in branded search while under-investing in the channels that actually fill the funnel. The model quantifies these halo effects, showing how spend in other channels drives the search volume that Google then converts. It also maps saturation curves for each campaign type, so you can forecast the point of diminishing returns and shift budget to the highest-impact opportunities across your entire mix.
