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Open online idea calls are an increasingly popular way to crowdsource ideas. Such calls tend to attract a diverse crowd who suggest a variety of ideas. To detect the most promising from this mass of ideas, we identify online behavioural characteristics of successful ideators, i.e. those who suggest ideas that are implemented. Our study is based on binary logistic regression analyses of a dataset from a call for ideas crowdsourced by the city of Munich. We found that characteristics linked to suggesting possible solutions and to showing positive attention towards other ideas are key features of how successful ideators behave online. We also found that the first is a characteristic of ideators who are likely to suggest an idea that is implemented but not novel. The latter is a characteristic of ideators who are likely to suggest an idea that is implemented and novel. Paying attention to other ideas before suggesting one's own and providing constructive input to other ideas are not found to be characteristic for successful ideators. The findings contribute to a better understanding of successful ideators' online behaviour and thereby open up new opportunities for the detection of ideas that the idea‐seeker wants to implement.

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