INCRMNTAL

Name: INCRMNTAL
Brand: INCRMNTAL

AI Native

The First AI Attribution Platform

Est 2020|Valuation $11.3M|Raised $5.5M|42 Ref Customers

LinkedIn 5K|Web traffic 5K|FTEs 25|HQ Tel Aviv, Tel-Aviv District, IL

MarketsMarketing Mix Modeling (MMM)Marketing Attribution

01Competitive Landscape

Narrative analysis

- INCRMNTAL vs Measured: Public vendor materials position INCRMNTAL as an approach that does not require planned holdouts, while Measured positions itself around experiment libraries and validated experiments. - INCRMNTAL vs Incremental (formerly Tradeswell): INCRMNTAL publishes comparisons in vendor-authored content; such materials should be treated as vendor perspectives. - Rockerbox: procurement listings and third-party marketplace pages discuss pricing dynamics and product fit; these are not direct product reviews but can provide procurement context.

Market trend / adoption signals

A recent letter of intent from Smartly to acquire INCRMNTAL suggests strategic interest in integrating measurement capabilities with media orchestration, and may affect distribution and integration options if the deal completes.

	INCRMNTAL	Measured	Rockerbox
Starting Price	Sales-led; directional starting price indicated in third-party directories	Typically sales-led; public pricing not consistently published	Typically sales-led; public pricing not consistently published
Best For	Organizations seeking continuous incrementality estimates across multiple channels without running frequent holdouts	Organizations that prioritize experiment-driven incrementality (audience split tests, blackout tests, matched market testing)	Organizations seeking a combined attribution and measurement solution that can centralize reporting
Key Strength	Emphasizes privacy-focused approaches that avoid reliance on user-level identifiers; supports multiple channel types including CTV and OOH	Emphasizes validated experiments and a library of experiment designs	Provides integrated attribution workflows and reporting for teams that prefer a consolidated measurement stack
Key Weakness	Causal identification may be harder to validate without controlled experiments; limited independent public review volume	May require operational overhead to run experiments; can be resource intensive	May be broader than needed for teams focused solely on incrementality measurement

01Competitive Landscape

Narrative analysis

INCRMNTAL vs Measured: Public vendor materials position INCRMNTAL as an approach that does not require planned holdouts, while Measured positions itself around experiment libraries and validated experiments.
INCRMNTAL vs Incremental (formerly Tradeswell): INCRMNTAL publishes comparisons in vendor-authored content; such materials should be treated as vendor perspectives.
Rockerbox: procurement listings and third-party marketplace pages discuss pricing dynamics and product fit; these are not direct product reviews but can provide procurement context.

Market trend / adoption signals

	INCRMNTAL	Measured	Rockerbox
Starting Price	Sales-led; directional starting price indicated in third-party directories	Typically sales-led; public pricing not consistently published	Typically sales-led; public pricing not consistently published
Best For	Organizations seeking continuous incrementality estimates across multiple channels without running frequent holdouts	Organizations that prioritize experiment-driven incrementality (audience split tests, blackout tests, matched market testing)	Organizations seeking a combined attribution and measurement solution that can centralize reporting
Key Strength	Emphasizes privacy-focused approaches that avoid reliance on user-level identifiers; supports multiple channel types including CTV and OOH	Emphasizes validated experiments and a library of experiment designs	Provides integrated attribution workflows and reporting for teams that prefer a consolidated measurement stack
Key Weakness	Causal identification may be harder to validate without controlled experiments; limited independent public review volume	May require operational overhead to run experiments; can be resource intensive	May be broader than needed for teams focused solely on incrementality measurement