帮你快速抓市场动态,给靠谱建议
{"trend_summary":"过去一周,中国科技市场的用户增长情况表现出动态变化,尤其集中在移动互联网、人工智能和云计算领域。消费者对某些应用的兴趣急剧上升,这反映出近年来科技领域的数字化转型持续推进。","key_insights":["中国科技市场过去一周用户增长整体稳定,但其中移动互联网服务相关行业用户数量上升较快,尤其是短视频平台。","人工智能驱动的应用(例如生成式AI聊天工具)有明显的新增用户数量激增,证明该领域吸引力大幅增强。","企业服务特别是云计算服务用户显现出加速采用的趋势,小型企业和初创公司需求激增,表现活跃。"],"region_analysis":["北上广深地区依然是科技用户增长的主力市场,用户活跃度和转化率均处于高峰水平。","二三线城市科技用户增势亮眼,特别是短视频应用和在线教育平台流量有显著提升,消费潜力进一步扩大。"],"time_series_data":["短视频应用过去7天用户增长速度相较前周提升了近15%,为科技市场的一大亮点。","生成式人工智能应用(AI工具)用户数从上周初的每日增长2%加速到本周末的每日同比增长6%。"],"recommendations":["强化短视频平台相关的市场布局,针对新用户需求推出低门槛教学和导引内容,以进一步提升留存率。","重点关注生成式AI应用的发展,及时调整产品线以适配企业和个人用户增长的需求,抢占市场份额。","在二三线城市加大推广力度,针对潜在用户推出更贴近生活场景的定制化广告方案,培养市场习惯。","企业服务领域可提供试用期优惠方案,特别是云计算相关,提高中小型企业的市场渗透率。"]}
{"trend_summary":"In the past month, the retail market in Europe has witnessed significant shifts in consumer behavior driven by economic uncertainties, changes in purchasing priorities, and an increased focus on value-for-money products. Demand for essentials over discretionary goods has surged, while e-commerce has maintained strong growth momentum due to convenience and competitive pricing.","key_insights":["Consumer spending on discretionary products has declined by approximately 10% as inflationary pressure continues to impact disposable incomes.","Increased consumer focus on promotions and discounts has led retailers to intensify price competition.","The shift to online shopping has grown further, with 15% rise in e-commerce sales in comparison to physical store visits.","Sustainability and ethically sourced products continue to influence purchasing decisions, particularly among younger demographics."],"region_analysis":["In Western Europe, countries like Germany and France have seen a stronger downturn in luxury retail spending due to inflation.","Southern Europe (e.g., Spain and Italy) reported stable performance in tourism-related retail but lower local consumer spending.","In Northern Europe, Scandinavian markets have shown a significant interest in sustainable retail products, despite higher price points."],"time_series_data":["Week 1: A drop in luxury item sales was noted, with demand for basic necessities increasing.","Week 2: Mid-month saw a spike in online grocery and household goods purchases.","Week 3: A promotional campaign across multiple brands lifted sales volumes temporarily.","Week 4: Consumer behavior shifted towards further economization, evident in higher engagement with discount campaigns."],"recommendations":["Focus on value-driven marketing strategies, emphasizing affordability and quality.","Allocate more resources to optimize online retail channels, including user experience and delivery efficiency.","Leverage sustainability as a selling point in product positioning, especially for the younger audience.","Partner with discount platforms or implement loyalty programs to retain cost-conscious customers.","Monitor inflation trends closely to adapt pricing strategies to changing consumer purchasing power."]}
{"trend_summary": "过去一年,美国金融市场的数字化转型持续加速,特别是在支付、金融科技以及区块链技术等领域增长显著。传统金融机构与金融科技公司展开了更加深入的合作,同时消费者对数字化服务的依赖和需求也显著提高。", "key_insights": ["美国金融市场的数字支付和移动支付领域实现了双位数的增长,消费者对在线支付和便捷金融服务的需求推动了这一趋势。", "区块链及相关的去中心化金融(DeFi)技术快速崛起,美国的银行和金融机构逐步加大对区块链技术的投资和应用,以优化交易效率和安全性。", "金融科技公司投资金额创近年新高,尤其是在人工智能(AI)驱动的客户服务及风险管理工具的应用方面。", "传统银行加速推进数字转型项目,纷纷推出更高效的线上服务平台,来提升用户体验并应对市场竞争。"], "region_analysis": ["美国东海岸地区的传统金融机构依然主导市场,但他们正加速数字化转型,推出创新型服务,如手机银行和基于区块链的快速支付工具。", "硅谷和技术创新中心的金融科技企业占据主导地位,吸引了大量风险投资,同时驱动了市场上更智能化的金融产品应用。"], "time_series_data": ["2023年Q1,金融科技领域的投资量环比增长了15%,主要得益于区块链和支付技术的强劲增长。", "2023年Q2到Q4,消费者对数字银行的需求持续增加,每季度在线交易量环比增长均超过10%。"], "recommendations": ["如果您是传统金融机构,建议优先投资数字支付和区块链技术,同时加强与金融科技企业的合作,以推动数字化转型长远发展。", "对金融科技创业者来说,可以重点研发人工智能驱动的金融服务解决方案,以及更具安全性和便捷性的支付工具,以抢占市场机会。", "持续关注美国监管层对数字货币和去中心化金融的政策变化,以调整业务战略,抢占合规机遇带来的先发优势。"]}
通过全面市场数据分析优化营销策略,找到突破现状的新增长点。
掌握行业趋势与用户需求变化,为产品规划提供重要决策依据。
实时了解市场环境变化,及时调整企业战略定位,抢占市场先机。
深挖不同行业和地区的市场表现,识别潜在投资机会和风险领域。
帮助创业团队快速找到市场中的机会点,优化商业模式和执行方向。
帮助用户实时捕捉市场动态、分析重点趋势变化,并提供简单易懂的决策建议,同时确保分析结果能够满足用户对于特定市场类别、地区和时间维度的查询需求。
将模板生成的提示词复制粘贴到您常用的 Chat 应用(如 ChatGPT、Claude 等),即可直接对话使用,无需额外开发。适合个人快速体验和轻量使用场景。
把提示词模板转化为 API,您的程序可任意修改模板参数,通过接口直接调用,轻松实现自动化与批量处理。适合开发者集成与业务系统嵌入。
在 MCP client 中配置对应的 server 地址,让您的 AI 应用自动调用提示词模板。适合高级用户和团队协作,让提示词在不同 AI 工具间无缝衔接。
免费获取高级提示词-优惠即将到期