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Enterprise Layer Intelligence
Categories/Advertising/Rockerbox
Rockerbox

Rockerbox

Founded 2013

Track marketing attribution across channels using multi-touch models and incrementality experiments

You can use Rockerbox to measure and understand the impact of your marketing spend across online and offline channels. It combines multi-touch attribution, marketing mix modeling, and incrementality testing into a single data system. You can connect touchpoints from digital ad networks, linear TV, direct mail, and post-purchase surveys to track customer journeys without relying on biased ad platform metrics. It also helps you run controlled experiments to validate real channel lift, forecast marketing budgets, and sync clean analytics data to your warehouse.

What Rockerbox does

Run incrementality tests to evaluate campaign liftForecast marketing budget returns across active channelsSync deduplicated conversion data into Snowflake or BigQueryTrack offline ad performance using promo codes and post-purchase surveysAnalyze conversion paths across paid, organic, and offline touchpointsCompare attribution model outputs to identify reporting discrepanciesMulti-touch attribution modeling across digital and offline channelsMarketing mix modeling to forecast cross-channel budget scenariosIncrementality testing using controlled experiments to measure true causal liftCross-channel data consolidation into a SOC2-certified marketing data warehouseDe-duplicated conversion tracking independent of ad network reportingDirect export of analytics-ready datasets to Snowflake, BigQuery, and RedshiftOffline channel tracking via promo codes and post-purchase surveys

Frequently asked

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Rockerbox, marketing analytics, multi-touch attribution, marketing mix modeling, MMM, incrementality testing, ad spend tracking, media measurement, conversion tracking, customer journey, cross-channel attribution, ad performance, Snowflake integration, BigQuery integration, marketing attribution