DeepBI's AI advertising strategy focuses on a "Natural Traffic Growth Strategy" to simultaneously boost ad performance and organic search rankings. This approach ensures that AI ads complement, rather than compete with, existing traffic sources, driving overall store sales growth.

Does DeepBI's AI Advertising Compete with Existing Ads for Traffic?

DeepBI's AI advertising strategy is designed to foster synergistic growth between ad performance and organic traffic, rather than competing for traffic. Through specific strategic design, AI advertising can enhance and improve a product's organic search ranking.

Dual Growth: Advertising and Organic Traffic

After the "Four-Layer Traffic Funnel" is stable, DeepBI further implements a "Natural Traffic Growth Strategy" (also known as the "Fifth Funnel"). The core objective of this strategy is to evolve AI advertising from a cost-saving tool into a growth engine, achieving dual growth through simultaneous increases in ad volume and organic rankings.

Specifically, DeepBI analyzes historical data to identify keywords with high click-through rates, high conversion rates, and high order values. Subsequently, separate advertising campaigns are created for these keywords, with resources focused on securing prime positions (Top of Search) on Amazon's search results page.

How Advertising Boosts Organic Rankings

The high exposure, clicks, and orders generated by AI advertising effectively contribute to a product's organic search ranking. This means that ad campaigns not only drive direct sales growth but also help products achieve higher organic rankings in search results, leading to more organic traffic and orders.

Strategy Impact

This dual growth effect, combining advertising and organic traffic, aims to rapidly increase the overall sales volume of a store. While maintaining a stable ACOS (Advertising Cost of Sales), DeepBI's strategy targets the joint growth of advertising and organic traffic to overcome sales growth plateaus.