DeepBI focuses on building advertising plans from the ground up and progressive optimization. It provides solutions for high ACOS in new product launches, using a four-layer funnel mechanism to build a "traffic gene pool." This approach helps new or low-sales stores acquire initial traffic and optimize their advertising performance.

Is DeepBI Suitable for New or Low-Sales Stores?

DeepBI's core philosophy is progressive optimization, emphasizing building advertising plans from scratch. This makes it suitable for new or low-sales stores.

Strategies for New Products and Low-Sales Stores

DeepBI offers several features and strategies designed to support the operations of new products and low-sales stores:

Building Ad Plans from Scratch: One of DeepBI's core principles is supporting the construction of advertising plans from the ground up, providing a starting point for new stores that lack historical data.
Addressing High ACOS for New Products: To tackle the common issue of high ACOS (Advertising Cost of Sales) during new product promotion, DeepBI utilizes its four-layer funnel mechanism to help establish a "traffic gene pool," progressively optimizing ad performance.
Traffic Acquisition in the Exploration Layer: Within the "Exploration Layer" of the quantitative advertising system, DeepBI maximizes ad coverage through AUTO ads and competitor ASIN ads, expanding the potential conversion scope. It particularly focuses on uncovering competitor ASIN traffic opportunities, helping new stores quickly gain initial exposure and traffic.
Navigating Competition with Limited Budgets: DeepBI provides strategies for "intense competition under limited budgets," which is particularly important for low-sales stores with relatively constrained resources.
Progressive Optimization: The system employs a progressive optimization approach, continuously adjusting and refining strategies based on a store's actual data performance. This allows even stores with smaller data volumes to gradually improve operational efficiency and effectiveness.

Summary

In summary, DeepBI is suitable for new or low-sales stores. It helps these stores achieve operational optimization and growth through strategies such as building ad plans from scratch, addressing high ACOS for new products, expanding initial traffic coverage, and navigating limited budgets.