Learn how DeepBI helps sellers address high CPC by optimizing bidding, managing budgets intelligently, improving ad and listing quality, and enhancing traffic precision, aiming to increase advertising efficiency and return on investment.

What to Do About High CPC? DeepBI's Strategies

High Cost Per Click (CPC) can directly impact advertising efficiency and overall Advertising Cost of Sales (ACoS). DeepBI offers a range of strategies designed to address high CPC by optimizing ad placement and listing quality.

DeepBI's CPC Optimization Strategies

DeepBI assists sellers in managing and optimizing high CPC through the following approaches:

1. Precise Bidding and Budget Management

Tiered Bidding Strategy: The DeepBI system employs a tiered bidding strategy, setting differentiated bids for various keywords or ASINs based on ad performance and objectives, aiming to avoid inefficient spending.
Dynamic Bid Adjustment: The system continuously monitors multi-dimensional data such as inventory, budget, ad quality score, and keywords, making dynamic bid adjustments to optimize ad visibility and reduce costs.
Intelligent Budget Flow: Through intelligent budget flow, DeepBI aims to achieve a precise balance between impressions and cost, allocating budget to higher-value advertising campaigns.

2. Improving Ad and Listing Quality

Optimizing Click-Through Rate (CTR): DeepBI's intelligent scoring module diagnoses whether main images lack "visual hooks." The AI image generation module enhances the contrast and visual focus of main images to drive clicks on search results pages, thereby increasing CTR. A higher CTR can contribute to an improved ad quality score and display ranking.
Increasing Conversion Rate (CVR): The intelligent scoring module quantifies and audits the completeness of detail pages (A+) and user feedback (VoC) to identify factors hindering conversions. By optimizing listing content, product appeal is enhanced, leading to an improved CVR. A higher CVR typically helps reduce ACoS and improve ad ranking.
Ad Creative Optimization: DeepBI focuses on optimizing ad creatives and keyword matching through AI-driven intelligent solutions, aiming to improve ad relevance and appeal.

3. Optimizing Traffic Precision

Intelligent Filtering of Invalid Impressions: The DeepBI system can identify and filter out invalid impressions, reducing unnecessary click costs.
Intelligent Keyword Optimization: By intercepting competitor traffic and optimizing keywords intelligently, the system aims to improve the precision of ad traffic, helping ensure ads reach target customers.
Four-Layer Traffic Funnel/Filtering Mechanism: DeepBI's four-layer traffic funnel mechanism (Exploration Layer, Initial Screening Layer, Precise Layer, Scaling Layer) identifies keywords with high click-through rates, high conversion rates, and low ACoS. Budget is then primarily allocated to these keywords, helping to avoid overspending on inefficient keywords.
Long-Tail Keyword Mining and Dark Horse Keyword Discovery: The system uses these features to precisely target traffic and efficiently expand keyword reach.

4. Ensuring Product Authenticity

Product DNA: DeepBI's Product DNA mechanism is designed to define the boundaries of product authenticity, specifying immutable attributes such as product structure, material, and logo. This helps mitigate the risk of negative reviews and refunds due to discrepancies between visuals and the actual product, indirectly supporting the stability and efficiency of advertising performance.

Summary

DeepBI offers a systematic solution to address high CPC by combining precise bidding and budget control, improving ad and listing quality, optimizing traffic precision, and ensuring product authenticity. The goal is to enhance advertising efficiency and return on investment.