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 Price for Eyad

Combining Global Pricing and Promotional Pricing

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

Other wappier products that fit well with this product

Global Pricing

Next Best Action

Loyalty Program

Global Pricing

Next Best Action

Engagement Amplification