Public affairs practitioners like politics. Obviously. Hence why clever political campaign tools excite us. Data is one such tool. Current (and potential) uses of data in political campaigning are very impressive indeed. In particular, the ability to use data to identify, then target and mobilise very specific audience segments.
Applied to public affairs, the logic is clear. Improve the likelihood of success on an issue by identifying sympathetic groups, ideally in a target politician’s constituency. Then target them with very specific messaging and perhaps even mobilise them into joining forces and doing the lobbying for you.
The reality is (usually) different. Our work usually involves far fewer stakeholders so we know our “segments” already and don’t need data to identify them. Frankly, in many cases these segments are very small, especially on technical issues, issues on which we’re on the wrong side of the public debate, or on which there is no public debate.
And perhaps most pertinently, on most issues, mobilising potential supporters in constituencies is costly and difficult, and unlikely to yield as much value as effective lobbying.
Which brings us to where data can be valuable. It should be utilised to generate proof points that can improve the likelihood of lobbying success. In other words, rather than harbouring unrealistic expectations about mobilising hoards of supporters, we use data to showcase that X number of people within a certain constituency (e.g. citizens in a certain locale, employees of a certain industry, students, academics etc.) have expressed views in line with our own. In this way we are showcasing public support from a key constituency, which is a determinant of lobbying success, without having to generate that support ourselves.