Triple Whale

Teams use Triple Whale by plugging in their ad accounts, ecommerce platform, and other data sources, then relying on one set of numbers to run daily decisions. Marketers check live performance to spot which campaigns are drifting, then adjust spend using attribution and budget guidance instead of pulling reports from multiple tools. Operators and analysts use the same dashboards to track store health, AOV, conversion rate, and repeat purchase trends, so changes in revenue can be tied back to specific channels, audiences, and customer actions.

Moby AI is used like an on-demand analyst: you ask why results changed, what drove a spike or drop, and where to look next. It helps teams turn raw metrics into explanations and next steps, speeding up tasks like weekly business reviews, creative testing analysis, and diagnosing tracking gaps. Identity resolution through the Pixel supports cleaner shopper recognition across sessions, which improves how performance is read when customers return later or switch devices.

For planning, brands compare channel impact with a mix of multi-touch and MMM, then build a clearer budget workflow for scaling or cutting spend. Analysts can query the underlying dataset for deeper questions, while non-technical teammates stay in prepared views that match their role. The typical outcome is faster reporting, fewer data disputes, quicker experimentation, and clearer allocation decisions across acquisition, on-site optimization, and retention work.