Our process
Iterative Precision: DeepM's Marketplace Loop
Our process relies on in-depth, niche-specific analysis. Understanding nuances across different product categories allows us to tailor strategies that align with each category’s unique marketplace behavior. Moreover, the process is iterative due to the ever changing characteristics of our products, peer products within the category, and the business logic applied by the marketplace. It fulfills a continuous improvement loop via these main stages:
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Analyze and recommend
Gathering and analysis of data related to the product niche; application of predictive modeling and optimization techniques for reaching the most effective recommendations.
Apply optimizations
Implementation of the insights and recommendations from the previous stage in numerous product related domains: content, pricing, advertising, fulfillment, reviews, rating, etc.
Track and refine over time
Close monitoring of performance metrics and marketplace shifts; refinement of the insights and recommendations accordingly. Once the desired results have been reached or disengaged, we’ll go back to stage one for a new iteration of analysis and recommendations.
