Promotional Pricing
Promotional Pricing uses ML to predict each consumer’s price sensitivity and likelihood to purchase, and auto-adjusts their next best offer at the optimal moment in their journey.
Deliver the right price, at the right time, per individual, to improve conversion and drive in-app revenue.
Promotional Pricing
Promotional Pricing uses ML to predict each consumer’s price sensitivity and likelihood to purchase, and auto-adjusts their next best offer at the optimal moment in their journey.
Deliver the right price, at the right time, per individual, to improve conversion and drive in-app revenue.
What you get
Maximize Revenue
Predicting likelihood to purchase and defining the optimal price per user, for promotional offers in a game, will maximize IAP revenues.
Increase Engagement
AI-driven prescriptive analytics are dynamically generating targeted promotional offers at the right time and right price, thus increasing payer conversion when it counts.
Gain behavioral insights
Our Cloud-Based Platform automates next best offers per individual but also gives you valuable insights into engagement behavior and spending patterns behavior, helping you understand what works and what doesn’t.
Experiencing Promotional Pricing
Our Pricing Optimization Engine analyzes player engagement behavior, user characteristics and other pricing signals. Using machine learning technology we predict each player’s likelihood to purchase and payment threshold in order to deliver optimal pricing on per user basis to increase payer conversion and maximize overall revenue.
Our proprietary algorithms auto-adjust existing in-app special offers by changing only the price of offer SKUs per user:
- First purchase discounts
- Seasonal Specials
- Event-based bonuses
- Bundles of negatively correlated goods
Would you like to learn more?
Experiencing Promotional Pricing
Our Pricing Optimization Engine analyzes player engagement behavior, user characteristics and other pricing signals. Using machine learning technology we predict each player’s likelihood to purchase and payment threshold in order to deliver optimal pricing on per user basis to increase payer conversion and maximize overall revenue.
Our proprietary algorithms auto-adjust existing in-app special offers by changing only the price of offer SKUs per user:
• First purchase discounts
• Seasonal Specials
• Event-based bonuses
• Bundles of negatively correlated goods
Would you like to learn more?
Finding the optimal pricing per user
Finding the optimal pricing per country
Finding the optimal pricing per user
Per User
Auto-adjusting the pricing of in-app products per each user.
Data We Collect
Macroeconomic – International Macroeconomic [Exchange Rates, GDP at country/state/city level, …]
Microeconomic [Device Price, Housing/Rents, …]
Device Context [Smartphone Penetration, Android vs iOS, …]
Game Context [Genre, Rating, …]
User Progression [Level completion, Achievements…]
User Engagement [Intense to purchase, Retention…]
User Characteristics [Zip Code, OS, Brand, Model, …]
Temporal Elements [Seasonality, Trends, …]
Machine Learning /
Models We Use
International Behavioral Model applied at user level to derive customer willingness to purchase
Fine-Tuning based on Multi-Armed Bandit Exploration – Exploitation
Revenue Regression Models
LTV Estimation and Real-time Revenue Optimization Models
