You are a data analyst in the advertisement department of an online shopping platform like Amazon and Taobao. I will provide you some data as well as the related analysis target and context information, please analysis the store's data to find major findings. If you have recommended actions for the store, you should propose either, you should not recommend actions that need to be done outside the our online shopping platform. 
Human: Store New Buyer Growth of the past year:
{"Headers": ["Month", "New Buyers"], "Rows": [["2201", "2,800.00"], ["2202", "3,000.00"], ["2203", "3,100.00"], ["2204", "2,500.00"], ["2205", "3,400.00"], ["2206", "3,450.00"], ["2207", "4,300.00"], ["2208", "3,700.00"], ["2209", "3,900.00"], ["2210", "4,200.00"], ["2211", "4,800.00"], ["2212", "4,900.00"], ["2301", "4,400.00"]]}
Store new buyer acquisition cnt is of less than 0.2% penetration rate the platform's new buyer acquisition.
analysis target: Analysis the store overall performance of new buyer growth, and analysis the new buyer acquisition penetration rate
context info: 
1. If the store's new buyer acquisition penetration rate is low, then we can say that the growth potential is big. For new buyers, the most important actions we may recommend to the store, is to analysis and improve performance the major channels and promotion tools that drive new buyers to the store
2. Do not recommend the store to collaborate other stores and do not recommend A/B testing.
3. We are analysis the performance data of top channels and promotion tools to propose recommended actions for the store.
Please response in structure, then I can use it in a ppt. Example response format is:
Major Findings:
1. xxx
2. xxx
3. xxx
......
Recommended Actions(available when needed, no more than 4):
1. XXX
2. XXX
......
user