INCRMTAL offers a privacy‑first, always‑on incrementality platform that continuously measures the true contribution of marketing activities without using user‑level data or pausing campaigns. By automatically detecting operational changes and applying causal data science and AI‑driven anomaly detection to aggregated KPI data, it delivers real‑time insights on incremental impact, marginal ROAS, and budget allocation across all media channels.
Funding
$4.1M 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.
1OPVFounders
Product
Problem
Advertisers struggle to determine the true incremental impact of their campaigns because traditional measurement relies on user‑level identifiers and controlled experiments, which are increasingly unavailable or disruptive to ongoing spend.
Solution
INCRMTAL provides a privacy‑first, always‑on incrementality platform that quantifies the contribution of each marketing activity without requiring user‑level data or pausing campaigns. The system continuously logs operational changes—such as new channels, bid adjustments, creative updates, or promotions—and treats them as micro‑experiments. Causal data‑science and AI‑driven anomaly detection compare these changes against aggregated KPI data to isolate incremental value. Results are delivered as actionable insights on contribution, marginal cost per conversion, and ROAS, enabling marketers to reallocate budgets based on true performance rather than attribution clicks. Integration is achieved through lightweight, no‑code data connectors, eliminating the need for SDKs, pixels, or engineering effort.
Target Audience
Primary users are growth marketers, marketing analysts, and data analysts at brands and agencies across verticals such as gaming, fintech, travel, e‑commerce, and healthcare who need accurate, privacy‑compliant measurement of campaign performance.
Features
- Automatic detection and logging of marketing operational changes to run continuous micro‑experiments
- Causal inference engine with AI‑based anomaly detection to isolate incremental impact on any KPI
- Aggregated, privacy‑preserving data processing that works without user‑level identifiers (IDFA, GAID, cookies)
- Cross‑platform measurement across iOS, Android, web, TV, in‑game, influencer, out‑of‑home, and podcast media
- Real‑time contribution and marginal ROAS dashboards for budget allocation and optimization
- Seamless, no‑code integration with over 90 data sources and marketing/sales platforms
- Built‑in modules for media‑mix modeling, geolift analysis, and actionable insight generation