Our platform - built by PhD-level mathematicians and data scientists - combines scalable data, rigorous experimentation, and continuous learning to deliver highly reliable, real-world insights:
1. Unified Data Ingestion
We pull in every relevant signal — media spend, sales transactions, product catalogs, competition signals and more — via 120+ pre-built connectors. All feeds are automatically cleansed, normalized and mapped so we work with a single source of truth.
2. AI-Backed Causality Modeling
Our proprietary engine layers regression analysis atop synthetic test designs, isolating which specific actions truly drive incremental sales. A closed-loop feedback system feeds real outcomes back into the model for ongoing refinement.
3. Robustness Through Scale & Real-World Causality
We validate across thousands of live, optimized Retail Media campaigns — each rigorously measured for true incremental lift. This sheer scale of real-world experiments ensures our iROAS model remains accurate and generalizable across diverse CPG portfolios.
4. Self-Improving Flywheel
As each campaign drives incremental sales, those real-world results automatically feed back into Datagram’s ML engine. The model continually recalibrates, improving prediction accuracy and powering ever-higher ROI.
Together, these pillars ensure that every optimization recommendation you receive is backed by robust, data-driven proof—so you can confidently scale your Retail Media investments.
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