As we have addressed in an earlier article, quantitative evaluation of R&D policies often approaches the outcomes of initiatives without effectively considering differential impacts on economic agents. Our goal is to confirm the existence of �segments� of firms according to their outcomes arising from participation in a given R&D program. Data is gathered from Eureka Program�s Final Reports (2000-2005 and 2006-2008) from Spanish, Italian, French, British, and German firms. Classification focus is directed towards variables related to innovation projects� outcomes. Log-likelihood clustering method was used. Tests for differences between clusters in terms of some variables of interest were performed. Results are consistent with the hypothesis of marked heterogeneity in firms� outcomes. This methodology offers a valuable instrument for RTD policymakers in terms of monitoring and ex post intervention.