| In the era of rapid development of information technology,big data technology has penetrated into various industries,and the online recruitment industry has also become a beneficiary of the big data era.In this context,online recruitment has become the mainstream recruitment mode in the field of talent resources in the market.L Recruitment Company is a company that focuses on talent recruitment.After years of development and growth,it has formed a complete C-end growth system.However,with the intensification of industry competition,how to gradually acquire new customers in online marketing has become a serious and prominent problem that L Company is facing.Based on the above situation,this article takes L recruitment company’s online marketing strategy as the research object,and uses the AISAS model to analyze and research from five aspects: attention,interest,search,action,and sharing.This study uses questionnaire method to conduct research on target users,and statistical analysis method to conduct research on L company’s online marketing strategy.Based on the AISAS model,the article locates the relevant problems in L company’s online marketing,And provide improvement strategies,as follows:Firstly,in response to the issue of attention,improvement strategies include increasing brand exposure through advertising,social media,public relations activities,etc.,strengthening the layout of short video marketing channels to increase brand influence and market share,providing excellent user experience to help the brand win customer loyalty,thereby increasing brand attention.Secondly,for the problems of interest,the improvement strategy is to optimize the APP main title and subtitle names,APP videos/screenshots,APP application descriptions,APP update logs,and user experience design.Furthermore,in response to search related issues,improvement strategies include optimizing search rankings for industry core words,competitor words,and high search popularity words,increasing overall keyword coverage through version updates,grasping peak demand periods for target users,and enhancing natural search weights.Furthermore,in response to action related issues,improvement strategies include increasing design recognition for the download landing page,emphasizing the unique selling points and advantages of one’s own product,adding performance elements,optimizing the download process to reduce user barriers,using conversion tracking tools to monitor download conversion rates,and optimizing the images,resources,and SDK within the APP download and installation package.Finally,in response to sharing issues,improvement strategies include optimizing and accelerating the loading speed of product pages,enhancing job matching,simplifying operational processes,timely feedback on product optimization for applicants,strengthening the layout of short video marketing channels,and increasing effective user reward mechanisms.This study proposes strategic recommendations for the online marketing of L recruitment company based on the AISAS model,and also has some inspiration for similar enterprises on how to carry out online marketing. |