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Brief

INCRMNTAL

Marketing Measurement & Attribution

INCRMNTAL delivers continuous, cookie-free incrementality measurement that reveals the true causal impact of marketing spend, enabling marketers to optimize budgets based on real lift rather than misleading attribution proxies.

Last updated Jun 23, 2026 by ATDb automated enrichment · Connections updated Jul 10, 2026

Founded
2021
HQ
Tel Aviv, Israel
Connections
9

At a glance

About

Emerging specialist in always-on incrementality measurement, positioned as a privacy-safe alternative to traditional MMP attribution and periodic MMM studies

INCRMNTAL is an Israeli-founded marketing measurement company specializing in incrementality-based attribution and causal inference for digital advertising. Unlike traditional last-touch or multi-touch attribution models, INCRMNTAL uses a continuous, always-on methodology to measure the true incremental lift of marketing campaigns — meaning it identifies what conversions or outcomes would not have happened without a specific ad spend. This approach is particularly valuable in a privacy-first world where user-level tracking is increasingly restricted. The platform is designed to work without cookies, device IDs, or personally identifiable information, making it resilient to signal loss from iOS privacy changes, GDPR, and the deprecation of third-party cookies. INCRMNTAL's technology uses statistical modeling and machine learning to create counterfactual baselines, enabling marketers to understand the genuine causal contribution of each marketing channel rather than relying on correlation-based proxies. INCRMNTAL serves mobile app publishers, performance marketers, and growth teams at brands and agencies who need to optimize budget allocation across channels. The company positions itself as a next-generation alternative to legacy MMP (Mobile Measurement Partner) attribution and media mix modeling (MMM), offering a more agile and granular solution that operates continuously rather than requiring periodic studies. It competes in the growing incrementality and causal measurement space alongside players like Measured, Northbeam, and Rockerbox.

Business model

SaaS

Target market

Mid-Market, Enterprise

What they offer

  • Always-On Incrementality

    Continuous incrementality measurement platform that runs without requiring holdout tests or campaign pauses, using causal inference to isolate true ad impact

  • Causal Attribution

    Attribution methodology based on causal modeling rather than correlation, providing more accurate channel contribution analysis

  • Budget Optimization Insights

    Actionable recommendations for reallocating marketing spend based on measured incremental returns per channel

  • Privacy-Safe Measurement

    Measurement framework that operates without cookies, device IDs, or user-level data, compliant with modern privacy regulations

Key features

Always-on, continuous incrementality measurementCookie-free and ID-free measurement methodologyCausal inference and counterfactual modelingMulti-channel incrementality analysisNo holdout groups or campaign interruptions requiredReal-time budget optimization recommendationsIntegration with major ad platforms and MMPs

Use cases

Measuring true incremental ROAS across paid social, search, and display channelsValidating or challenging MMP-reported attribution numbersBudget reallocation decisions based on causal channel contributionPost-iOS 14 measurement strategy for mobile app marketersReplacing or augmenting periodic MMM studies with continuous measurement

Customer segments

Mobile app publishers and developersPerformance marketing teamsD2C and e-commerce brandsDigital advertising agenciesGrowth and user acquisition teams

Tech & specs

Technology stack

Machine learning and statistical modelingCausal inference algorithmsCloud-based data processingAPI-first architecture

Security & compliance

GDPRCCPAPrivacy-safe by design (no PII processing)

Deployment

Cloud

API

Yes

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