Data analysis forms a critical part of successful door drop campaigns where there are multiple facets and approaches, using diverse techniques to assess datasets with the aim of with the aim of pinpointing useful trends and information to improve understanding for future campaigns.

There various techniques that can be employed but using multivariate data strings then it is possible to predict future performance and refine results from future campaigns. When applied correctly door drop results can be improved by over 40% compared to targeting derived from geodemographic analysis which has a huge affect on the viability of door drop marketing campaigns and volume that is sustainable.

In the UK the majority of results analysis is still done using geodemographics which is outdated and crude for companies that have significant volumes of data to hand. Whether the data is from previous doordrop campaigns or direct marketing data from other media channels then this is can form a vital cornerstone for building future targeting models. 

Data analysis can take many forms assessing not only the cost per call, response, visit but also the cost per aquisition, conversion and ROI. The more sophisticated doordrop users take this to next level in time where the saturation points for contact frequency for doordrops and the resultant effect on response rates. Once this elasticity is established then the optimum programme for targeting, frequency and volume can be instigated.