As the largest e-commerce platform in the United States, Amazon’s user growth rate has gradually slowed down as the platform matures and develops. This means that the keyword search volume and overall traffic are relatively stable, and more competition and proactive marketing are needed to seize keywords and increase product exposure. In this scenario, Amazon’s DSP advertising has become a powerful tool, providing sellers with the opportunity to actively reach the target consumer group.
Launch comprehensive advertising
Preliminary preparation-in-depth analysis and strategy formulation
Before advertising, understand the characteristics of DSP display advertising and analyze the target audience from the perspectives of products, users, scenarios, and needs. Conduct research from the user’s perspective, impress users with scenarios, and associate products with personal interests, rather than just promoting product attributes.
Ad production-focus on user reading characteristics
Considering the fragmented time characteristics of users “wandering” on the Amazon platform, the materials produced must be able to quickly attract users. In addition, special attention should be paid to the production of advertising materials for different display positions on computers and mobile terminals.
Publish and place-accurately locate the target population
Ad settings are the screening conditions displayed to the audience. A clear user portrait is crucial, including clear selection of conditions such as population labels, gender, age, income or education, and device type.
Optimization summary – data-driven continuous optimization
In the process of DSP advertising, it is crucial to continuously analyze data and make adjustments and optimizations based on the results. Data analysis and delivery optimization is a long-term process, including long-term optimization and adjustment of delivery time, delivery budget, targeting conditions, creative content, etc.
The promotion strategy of Amazon DSP advertising is a comprehensive project. It is necessary to keep in mind that real-time data feedback is a way to continuously correct the delivery effect, while conducting comprehensive analysis and adjustments.