Targeting specific synthesis outcomes have become a sophisticated, yet highly rewarding topic of investigation, especially in the realm of flow polymer synthesis. This attraction stems from general issues around reproducibility in many approaches or high batch to batch variation, and -more importantly -from the fact that in polymer synthesis, quite often the structure and molecular weight of a polymer is determined by its kinetics. In other words, batch to batch variation does not only lead to variations in yields and purity of a compound, but in its actual chemical setup and microstructure. Rubens et al. demonstrated automatic targeting of average molecular weights of polymers, and later the automated monomer conversion targeting in radical polymerization. Warren and Bourne then showed how both can be combined in multiparameter optimization in a very elegant integrated approach. It is hence a logical consequence to use also DLS for automated optimization once it is available as online monitor.