The value of big data for analyzing growth dynamics of technology-based new ventures

• TBNV's growth dynamics is reflected well in Google Trends data associated to it. a credible source of high-quality for analyzing new ventures. It can be used as proxy measure growth-oriented companies. analyzing, researching and predicting the growth. more reliable unicorns b2c digital platforms, but applicable all. This study demonstrates that web-search traffic information, particular, data, novel easy-to-access technology-based ventures (TBNVs) trajectories. Utilizing diverse sample 241 US-based TBNVs, we comparatively analyze relationship between companies’ evolution curves represented by search activity on one hand valuations achieved through rounds venture investments another. The results suggest are positively strongly correlated with its web across sample. correlation robust when company a) successful (in terms valuation achieved) – especially if it “unicorn”; b) consumer-oriented (i.e., b2c); 3) develops products form platform. Further analysis based fuzzy-set Qualitative Comparative Analysis (fsQCA) shows most companies (“unicorns”) platforms platform companies) proposed approach may extremely reliable, while other high-growth TBNVs useful their dynamics, albeit limited degree. methodological opens wide range possibilities recently formed companies, practice academia.