DeepBI intelligently filters and focuses on high-quality keywords using a four-layer traffic funnel mechanism and a natural traffic growth strategy. This approach aims to concentrate resources on high-potential traffic, thereby improving the efficiency and effectiveness of ad campaigns.

DeepBI's Keyword Filtering Strategy

DeepBI's strategy for filtering and focusing on keyword volume in ad campaigns is an integral part of its quantitative advertising system design. This approach aims to identify and concentrate resources on the most promising and valuable keywords through a multi-stage filtering mechanism, ultimately enhancing the overall efficiency and effectiveness of ad placements.

Four-Layer Traffic Funnel Mechanism

DeepBI's core mechanism is a four-layer traffic funnel, which divides the traffic filtering process into an Exploration Layer, Initial Screening Layer, Precision Layer, and Scaling Layer. Each layer serves distinct filtering objectives:

Exploration Layer: Designed to maximize ad coverage and expand the range of potential conversions.
Initial Screening Layer: Based on data analysis, this layer performs a first-pass screening of new converting keywords identified in the Exploration Layer, filtering out low-quality traffic.
Precision Layer: Involves multiple tests on the filtered keywords and competitor ASINs to pinpoint high-potential keywords and competitor ASINs.
Scaling Layer: After passing through the Precision Layer, approximately 10-15% of the traffic is identified as high-quality and suitable for sustained scaling. DeepBI concentrates resources, increasing budgets and bids, to drive the growth of this premium traffic.

This funnel mechanism ensures that every step of ad placement is based on data insights, continuously identifying cost-effective traffic rather than indiscriminately pursuing a high volume of keywords.

Natural Traffic Growth Strategy

Once the four-layer traffic funnel operates stably, DeepBI implements a natural traffic growth strategy, also referred to as the "fifth layer funnel." This strategy leverages the large sample data accumulated from the funnel to identify "top-performing" keywords with high click-through rates (CTR), high conversion rates (CVR), and high order values. DeepBI then creates separate ad campaigns for these keywords, focusing resources to secure prime positions on the search results page.

Strategy Objectives

DeepBI's keyword filtering strategy aims to transform ad operations from experience-based practices to data-driven decisions. By focusing on a select number of high-quality, high-potential keywords, the strategy seeks to maximize advertising return on investment (ROI) while simultaneously improving the product's organic search rankings, achieving dual growth in both paid and natural traffic.