Placement Optimizer
Job Description
1. Responsible for user growth of the global social project of Hello Group Inc, formulating overall growth strategies based on data analysis, user research, product and operation strategies, including but not limited to the design of placement models, selection of placement channels, control of placement budget and effect;
2. Familiar with mainstream placement platforms and products such as Facebook, Google Ad Words, TikTok, etc., maintain a high degree of attention to industry dynamics and market trends, analyze and summarize various placement-related data, and propose reasonable suggestions based on platform product characteristics and user preferences;
3. Familiar with store optimization techniques, able to synchronize ASO optimization with ASA placement, and continuously iterate to achieve higher user growth;
4. Be responsible for the placement effect. Monitor the actual effect of the advertisement through the analysis of market placement data, summarize and review it regularly to provide effective market data support;
5. Collect and analyze competitors’ and industry’s placement strategies to optimize the placemnet strategy.
Job Requirements
1. Bachelor degree or above, with more than 3 years of relevant work experience. Familiar with mainstream global advertising platforms, understanding of search engine optimization principles and strategies. Have experience in strategy and supplier management and direct advertising account operation, and candidates with experience in advertising placement for million-dollar social products will be preferred;
2. Have good communication skills, with Chinese as a working language and good English reading and writing skills;
3. Strong data analysis ability, mathematics and related professional background is a plus, and have a certain depth of understanding and research on Internet products. Candidates with experience in SQL or Python data analysis are preferred;
4. Plus: Familiar with online social media, have experience working in a multinational team and experience in KOL and offline growth methods.
5. To apply for this position, please send your resume to: hrsg@hellogroup.com
Placement Optimizer
Job Description
1. Responsible for user growth of the global social project of Hello Group Inc, formulating overall growth strategies based on data analysis, user research, product and operation strategies, including but not limited to the design of placement models, selection of placement channels, control of placement budget and effect;
2. Familiar with mainstream placement platforms and products such as Facebook, Google Ad Words, TikTok, etc., maintain a high degree of attention to industry dynamics and market trends, analyze and summarize various placement-related data, and propose reasonable suggestions based on platform product characteristics and user preferences;
3. Familiar with store optimization techniques, able to synchronize ASO optimization with ASA placement, and continuously iterate to achieve higher user growth;
4. Be responsible for the placement effect. Monitor the actual effect of the advertisement through the analysis of market placement data, summarize and review it regularly to provide effective market data support;
5. Collect and analyze competitors’ and industry’s placement strategies to optimize the placemnet strategy.
Job Requirements
1. Bachelor degree or above, with more than 3 years of relevant work experience. Familiar with mainstream global advertising platforms, understanding of search engine optimization principles and strategies. Have experience in strategy and supplier management and direct advertising account operation, and candidates with experience in advertising placement for million-dollar social products will be preferred;
2. Have good communication skills, with Chinese as a working language and good English reading and writing skills;
3. Strong data analysis ability, mathematics and related professional background is a plus, and have a certain depth of understanding and research on Internet products. Candidates with experience in SQL or Python data analysis are preferred;
4. Plus: Familiar with online social media, have experience working in a multinational team and experience in KOL and offline growth methods.
5. To apply for this position, please send your resume to: hrsg@hellogroup.com
Placement Optimizer
Job Description
1. Responsible for user growth of the global social project of Hello Group Inc, formulating overall growth strategies based on data analysis, user research, product and operation strategies, including but not limited to the design of placement models, selection of placement channels, control of placement budget and effect;
2. Familiar with mainstream placement platforms and products such as Facebook, Google Ad Words, TikTok, etc., maintain a high degree of attention to industry dynamics and market trends, analyze and summarize various placement-related data, and propose reasonable suggestions based on platform product characteristics and user preferences;
3. Familiar with store optimization techniques, able to synchronize ASO optimization with ASA placement, and continuously iterate to achieve higher user growth;
4. Be responsible for the placement effect. Monitor the actual effect of the advertisement through the analysis of market placement data, summarize and review it regularly to provide effective market data support;
5. Collect and analyze competitors’ and industry’s placement strategies to optimize the placemnet strategy.
Job Requirements
1. Bachelor degree or above, with more than 3 years of relevant work experience. Familiar with mainstream global advertising platforms, understanding of search engine optimization principles and strategies. Have experience in strategy and supplier management and direct advertising account operation, and candidates with experience in advertising placement for million-dollar social products will be preferred;
2. Have good communication skills, with Chinese as a working language and good English reading and writing skills;
3. Strong data analysis ability, mathematics and related professional background is a plus, and have a certain depth of understanding and research on Internet products. Candidates with experience in SQL or Python data analysis are preferred;
4. Plus: Familiar with online social media, have experience working in a multinational team and experience in KOL and offline growth methods.
5. To apply for this position, please send your resume to: hrsg@hellogroup.com
Placement Optimizer
Job Description
1. Responsible for user growth of the global social project of Hello Group Inc, formulating overall growth strategies based on data analysis, user research, product and operation strategies, including but not limited to the design of placement models, selection of placement channels, control of placement budget and effect;
2. Familiar with mainstream placement platforms and products such as Facebook, Google Ad Words, TikTok, etc., maintain a high degree of attention to industry dynamics and market trends, analyze and summarize various placement-related data, and propose reasonable suggestions based on platform product characteristics and user preferences;
3. Familiar with store optimization techniques, able to synchronize ASO optimization with ASA placement, and continuously iterate to achieve higher user growth;
4. Be responsible for the placement effect. Monitor the actual effect of the advertisement through the analysis of market placement data, summarize and review it regularly to provide effective market data support;
5. Collect and analyze competitors’ and industry’s placement strategies to optimize the placemnet strategy.
Job Requirements
1. Bachelor degree or above, with more than 3 years of relevant work experience. Familiar with mainstream global advertising platforms, understanding of search engine optimization principles and strategies. Have experience in strategy and supplier management and direct advertising account operation, and candidates with experience in advertising placement for million-dollar social products will be preferred;
2. Have good communication skills, with Chinese as a working language and good English reading and writing skills;
3. Strong data analysis ability, mathematics and related professional background is a plus, and have a certain depth of understanding and research on Internet products. Candidates with experience in SQL or Python data analysis are preferred;
4. Plus: Familiar with online social media, have experience working in a multinational team and experience in KOL and offline growth methods.
5. To apply for this position, please send your resume to: hrsg@hellogroup.com 