Understanding　the　behavior　of　surfactant-laden　droplets　impacting　superhydrophobic　surfaces　is　critical　for　various　industrial　applications.　However,　the　influence　of　surfactant　hydrophobic　chain　lengths　(HCLs),　which　affect　the　diffusion　coefficient　of　surfactants,　on　impact　dynamics　and　predictive　model　for　the　maximum　spreading　diameter　of　surfactant　droplets　impacting　superhydrophobic　surfaces　remain　poorly　understood,　particularly　under　varying　Weber　numbers　(We)　and　concentrations.　This　study　experimentally　investigates　the　impact　dynamic　of　surfactant-loaded　droplets　with　differing　HCLs,　focusing　on　their　spreading,　maximum　spreading　diameter,　retraction,　and　oscillation　behaviors.　A　key　finding　is　that　surfactants　primarily　enhance　droplet　deposition　by　inhibiting　retraction　stage.　The　deposition-enhancing　effect　exhibits　an　initial　increase　and　subsequent　decrease　with　increasing　HCLs,　governed　by　the　interplay　between　dynamic　surface　tension,　diffusion　coefficient,　and　viscosity.　Additionally,　moderate　increases　in　We　favor　droplet　deposition　and　enhanced　damping　effect　for　surfactant-laden　droplets　impacting　superhydrophobic　surfaces.　Finally,　introducing　the　diffusion　coefficient　of　surfactant　through　the　Peclet　number　creates　a　generalized　model　to　accurately　predict　the　maximum　spreading　diameter　of　different　surfactant　droplets　impacting　superhydrophobic　surfaces　in　varying　impact　velocities.　This　can　be　expressed　as　follows:　beta　max　=　0.55Pe　-0.017　Re　0.0679　We　0.246.　These　insights　offer　a　deeper　understanding　of　surfactant-laden　droplet　behavior　on　superhydrophobic　surfaces　and　provide　strategies　for　optimizing　deposition　in　practical　applications.