Currently the only repricing strategy available for Walmart listings is our Buy Box targeting strategy. This will be automatically selected when building a Walmart repricing strategy.
Maven is Aura’s AI strategy model. Maven can be configured to optimize for profit margin, sales velocity, or any mix of both. The balance between these outcomes can be adjusted on the Aggression slider under Advanced settings.
Additionally, Maven will automatically calculate Max prices in real-time based on competitor and listing factors. You may still manually set/override any Max price calculated by Maven.
Below is a breakdown of how Maven behaves under different listing scenarios and aggression levels. an be customized to meet your desired balance of sales velocity and profit margin.
On a slider of aggression, ranging from 0.00 to 1.00, you may choose exactly which to prioritize, with 0.50 representing a perfect balance.
High-Level Aggression Levels Overview:
0.00 - 0.10: Maximum profit focus. Frequently tests higher prices for better margins. Takes longer to respond to competition. Uses larger price buffers above minimum. Best for high-margin or low-competition products where profit matters more than sales speed.
0.11 - 0.30: Profit-focused with moderate testing. Regularly attempts higher prices to discover optimal margins. Responds to competition conservatively. Good for products where you want to balance profit with reasonable sales velocity.
0.31 - 0.50: Balanced approach between profit and sales. Occasionally tests higher prices while staying competitive. Moderate response times to competition. The default setting that works well for most products and market conditions.
0.51 - 0.70: Sales-focused with some profit consideration. Prioritizes staying competitive over testing higher prices. Responds quickly to competitors. Good for competitive categories where buy box retention is important.
0.71 - 0.90: High sales velocity focus. Rarely tests higher prices, prioritizes winning buy box. Quick competitive responses with aggressive pricing. Best for high-volume, competitive products where market share matters most.
0.91 - 1.00: Maximum buy box aggression. Never tests higher prices - pure focus on winning and keeping the buy box. Instant competitive responses with aggressive undercutting. Use for highly competitive products or inventory liquidation.
Usage Examples
Conservative Strategy (0.0-0.2)
Best for:
High-margin products
Limited inventory
Brand-focused sellers
Products with low competition
Balanced Strategy (0.4-0.6)
Best for:
Most standard products
Steady inventory levels
Mixed competition environments
General e-commerce operations
Aggressive Strategy (0.8-1.0)
Best for:
High-volume, low-margin products
Excess inventory situations
Highly competitive categories
Market share acquisition focus
Metrics to Monitor
When adjusting aggression, monitor:
Buy box win rate
Average selling price
Profit margins
Sales velocity
Time in buy box
Number of price changes