//php the_post_thumbnail( ‘post-thumbnail’ ); ?>
Navigating the vast possibilities offered by BQool Conditional Repricer can sometimes be daunting, leaving you unsure about the optimal repricing plan for your listings. With many diverse combinations of repricing strategies, how can you configure your go to repricing rules to best fit your business goals? In this article, we will explore the advanced settings of BQool Conditional Repricer and how you can tweak it better with customized settings. We will share tips and examples to help you understand the advanced parameters of Conditional Repricer and how you can build a strategic framework fitting your business objectives.
How does BQool AI Benefit from Conditional Repricing?
When you are setting an AI conditional repricing strategy on BQool, it is important to understand how BQool AI operates. Each AI has a preference for either sales or profit, with some prioritizing sales volume by cutting prices, and others focusing on increasing profit over sales.
*BQool AI Strategies by Numbers
- AI Sales Maximizer 2. AI Sales Booster 3. AI Equalizer 4. AI Profit Booster 5. AI Profit Maximizer 6. AI Boost Profit 7. AI Grow Profit 8. AI Max Profit
This graph highlights the four key variables: Higher Buy Box %, Lower Buy Box %, Higher Price and Lower Price that AI will consider when repricing items on Amazon. The position of AI strategies shown on the graph reflects AI’s affinity with either Price or Buy Box win Percentage %. Traditionally, Amazon resellers often face tradeoffs between these metrics and maximizing one typically means compromises on the other. However, with the help of conditional repricer, sellers can take advantage of custom conditions to increase both price and buy box win % and achieve a win-win. Conditional Repricer can also empower sellers to navigate between sales and profit, the two ends of the spectrum, with…
This is only a snippet of a eCommerce Article, please visit the Authors Website and Read the Full Article