Our wide-ranging analytics, data and engineering expertise produces actionable insights that fuel bottom-line business outcomes
We take an analytics-driven, multi-factor approach to cross-channel investment strategy. We consider all variablesꟷchannel metrics, sales, seasonality, offline (TV, OOH), competition to generate statistical analysis based on thousands of candidate models. Lift charts help us understand the impact of one channel on another, and continuous optimization regularly reflows budget to push performance.
We leverage Custom Attribution Models to measure touchpoint impact. In-Store Direct and Correlational Models explain lift from each channel on store visits and transactions. And Anomaly Detection isolates acceptable fluctuations from an actual anomaly, with automation for real-time escalation. Our proprietary BrandMath platform combines different metrics across digital and offline touchpoints into a custom unified KPI, to track performance on multiple dimensions (conversion, engagement, branding). This is all in support of determining where the next dollar should be spent.
Darwin is our proprietary search technology to assess account health and opportunity, identify target production levels, manage bids and budget, and monitor performance. Features include Performance Diagnosis, Yield Optimization, Scenario Planning, Anomaly Detection and Daily Pacing.
Our proprietary, customizable Cross-Channel Aggregate & Forecaster Reporting Suite aggregates all channel, publisher (e.g. Google, Facebook, Amazon), and campaign data in one place for a single performance view, enabling us to catch performance trends, uncover best-performing factors (copy, campaign, creative, product), and accurately forecast.