如何通过SEO和SEM获取更多外贸订单 | DSP广告投放优化指南
如何通过SEO和SEM获取更多外贸订单 | DSP广告投放优化指南
How to Get More Foreign Trade Orders Through SEO & SEM | DSP Advertising Optimization Guide
在当今互联网环境下，越来越多的企业开始尝试DSP广告投放，但同时也面临着诸多挑战：如何降低成本？如何精准定位目标受众？如何提高转化率？如何选择最佳投放渠道？极光推送CEO王小导为我们分享了专业的解决方案。
In today's internet environment, more and more enterprises are trying DSP advertising, but they also face many challenges: how to reduce costs? How to accurately target the right audience? How to improve conversion rates? How to choose the best advertising channels? Wang Xiaodao, CEO of Aurora Push, shared professional solutions with us.
一、竞价系统优化 | 1. Bidding System Optimization
竞价系统是RTB的核心，其算法和智能化程度直接影响广告投放的成本和效果。极光广告的智能竞价系统基于多维立体优化模型，依托10亿级用户行为大数据，能够实时计算、动态决策，并根据历史数据自动学习和优化。
The bidding system is the core of RTB, and its algorithm and intelligence level directly affect the cost and effectiveness of advertising. Aurora Ads' intelligent bidding system is based on a multi-dimensional optimization model, relying on big data from 1 billion user behaviors, capable of real-time calculation, dynamic decision-making, and automatic learning and optimization based on historical data.
二、人群优化 | 2. Audience Optimization
要实现目标人群的精准投放，需要持续积累和分析投放数据。以某知名银行为例，初步定向为：非该银行用户+有车一族+信用卡用户。通过分析设备安装和APP使用情况，结合极光推送的LBS位置大数据，进一步筛选和优化目标人群。
To achieve precise targeting, continuous data accumulation and analysis are required. Taking a well-known bank as an example, the initial targeting was: non-bank users + car owners + credit card users. By analyzing device installations and app usage, combined with Aurora Push's LBS location big data, the target audience was further screened and optimized.
三、投放策略优化 | 3. Advertising Strategy Optimization
在RTB投放中，专业的算法和DSP系统固然重要，但投放策略的优化同样关键。需要结合RTB广告特点、数据反馈和受众分析，制定完整的优化方案。
In RTB advertising, professional algorithms and DSP systems are important, but strategy optimization is equally crucial. It's necessary to develop a complete optimization plan based on RTB characteristics, data feedback, and audience analysis.
总结：在DSP广告投放中，使用智能竞价系统，持续优化目标人群，并根据数据反馈调整策略，是解决问题的关键。
Conclusion: In DSP advertising, using intelligent bidding systems, continuously optimizing target audiences, and adjusting strategies based on data feedback are the keys to solving problems.