Traditional pixels often over-report or miss the impact of content networks. PRISMA uses machine-learning to correlate spend across native networks and social channels simultaneously. By analyzing historical activity and "channel-spillover" effects, it identifies exactly how much revenue each network is contributing, ensuring your data is deduplicated against Meta and Google.

Yes. Our adaptive modeling analyzes your historical data, spend fluctuations, and promotional events to determine your "baseline" sales. It calculates the true lift provided by your ads—meaning you can see which sales were actually driven by your marketing versus those that would have happened anyway, all without pausing your best campaigns.

TikTok and Pinterest often act as discovery engines that don't get the "last click." PRISMA captures these branding effects by identifying the correlation between your spend on these platforms and the resulting spikes in Shopify’s organic search and direct traffic. This gives you a unified view of how top-of-funnel discovery fuels bottom-funnel conversions.

By merging MMM with our best-in-class tracking and calibrating it with 0-party survey data, we refine your attributed KPIs. This "Fusion" approach allows you to see which channels are driving genuine new growth (ncROAS) versus those that are simply retargeting existing customers, preventing you from over-spending on your current audience.

Our dynamic budget optimization provides a clear roadmap for your budget. By analyzing channel behavior and saturation points, the system predicts the most efficient distribution of your funds, offering actionable insights for your weekly media planning between Meta, Google PMax, and other omni-channel platforms.

PRISMA accounts for view-through and branding effects that traditional models miss. By analyzing spend and revenue patterns rather than just clicks, it assigns a realistic value to video views and Connected TV (CTV) impressions. This refined data is then layered over your attribution to give you a precise ROAS that doesn't artificially inflate your blended metrics.

Our approach factors in diminishing returns. As you increase spend, PRISMA monitors for signs of channel saturation, the point where an extra dollar spent results in a lower marginal return. Our budget optimizer alerts you when a channel is reaching its peak efficiency so you can pivot your budget to the next growth opportunity.

By fusing MMM with multi-touch attribution and calibrating it through 0-party data, we create a "Source of Truth" that accounts for both direct clicks and indirect influence. This ensures that your organic baseline is protected and you aren't paying for sales that were already destined to happen through your SEO or brand word-of-mouth.

Yes. The PRISMA media planning tool allows you to forecast different strategies and "what-if" scenarios. You can model the impact of different budget distributions across online and offline channels to see which strategy is predicted to yield the highest orders, revenue, or POAS before you commit your budget.

MMM is inherently privacy-first because it relies on aggregated data rather than individual user-level tracking. This allows you to sidestep typical tracking pitfalls and privacy limitations like GDPR and CCPA, providing a reliable measurement framework that stays accurate regardless of how browsers or phone OS updates change.

We merge machine-learning predictions with granular attribution data and your specific store costs (COGS, shipping). This allows us to refine your attributed KPIs, giving you highly accurate POAS metrics that reflect the actual profit generated by every channel, including TV, marketplaces, and social media.

By using our advanced strategy and media planning features, you can project future revenue based on current channel efficiency and planned spend. This dynamic forecasting helps you align your marketing strategy with your inventory lead times and cash flow requirements.

For brands with omni-channel ambitions, we track how your digital spend (like Meta ads) influences sales on other marketplaces or even offline. PRISMA captures these spillover effects, giving you a comprehensive insight into each channel’s true influence across your entire sales ecosystem.

The system begins correlating your activity, spend, and promotional events the moment you connect your platforms. Because it learns from your historical data, you can see actionable insights for optimal channel efficiency almost immediately, helping you make data-driven decisions from day one.