Incremental offers a third‑party measurement platform that uses causal inference and continuous machine‑learning to isolate the incremental sales impact of retail media, merchandising, and organic factors. By ingesting and normalizing data from retail, inventory, pricing, and media sources, it provides daily, campaign‑level insights, forecasts, and API integrations that let brands and agencies replace ROAS with true incremental ROI and optimize spend across Retail Media Networks.
Funding
$15.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
3OFounders
Product
Problem
Brands and agencies struggle to allocate and optimize retail media spend because traditional last‑touch attribution (ROAS) does not reflect the true incremental sales driven by advertising, and measurement across Retail Media Networks (RMNs) is fragmented and inconsistent.
Solution
Incremental provides a third‑party, commerce‑aware measurement platform that applies causal inference and continuous machine‑learning to isolate the incremental impact of media, merchandising, and organic factors on sales. The system ingests and normalizes data from retail, inventory, pricing, and media sources, then delivers daily, campaign‑level insights and forecasts that can be pushed directly into major omni‑channel buying platforms via APIs. By offering a neutral, privacy‑safe lens across the full funnel, Incremental enables brands, agencies, and ecosystem partners to replace ROAS with incremental ROI, compare performance across retailers, run budget simulations, and automate optimization toward true sales lift.
Target Audience
Primary customers are global manufacturers, commerce agencies, and media ecosystem partners that manage retail media across multiple RMNs and need a neutral, data‑driven way to plan, measure, and optimize incremental sales growth.
Features
- Ensemble causal inference model combining econometric techniques, designed experiments, and synthetic controls to quantify incremental sales
- Continuous learning pipeline that retrains daily, providing up‑to‑date predictions and short‑term forecasts
- Granular reporting at campaign and line‑item level with the ability to drill down to SKU and retailer dimensions
- Integrated data cleansing, normalization, and mapping of commerce signals (inventory, buy‑box, search rank, pricing, promotions) alongside media spend
- Direct, push‑button integrations with leading media buying platforms (e.g., Pacvue, Skai, Flywheel, WPP Open) via APIs and data feeds
- Privacy‑safe architecture that requires no personally identifiable information while linking media investments to online and offline sales
- Simulation and planning tools that allow users to test budget scenarios and forecast incremental ROI against sales goals