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.

Mask Group 52

Maximize revenue

Our ML algorithms identify differences in consumers’ willingness to spend and pricing threshold while predicting lifetime value in order to auto-adjust prices per each individual.

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 enagement patterns and consumer behavior, helping you understand what works and what doesn’t.

Maximize revenue

Our ML algorithms identify differences in consumers’ willingness to spend and pricing threshold while predicting lifetime value in order to auto-adjust prices per each individual.

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 enagement patterns and consumer behavior, helping you understand what works and what doesn’t.

Our Pricing Optimization Engine analyzes your user data and uses sophisticated machine learning models to predict each consumer’s likelihood to purchase and payment threshold so that we can deliver their next best offer to increase payer conversion and overall revenue. Machine Learning Algorithms auto-adjust prices for different consumers by creating on the fly:

• First purchase discounts
• Targeted special offers
• Bundles of negatively correlated goods

Would you like to learn more?

Our Pricing Optimization Engine analyzes your user data and uses sophisticated machine learning models to predict each consumer’s likelihood to purchase and payment threshold so that we can deliver their next best offer to increase payer conversion and overall revenue. Machine Learning Algorithms auto-adjust prices for different consumers by creating on the fly:

• First purchase discounts
• Targeted special offers
• 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 Price per User

Finding The Optimal Price per User

Finding the optimal pricing per user

Per User

Auto-adjusting the pricing of in-app products per each user.

Data We Collect

Macroeconomic
[GDP, Exchange Rate, Unemployment
Rate, …]

Microeconomic
[Device Price, Housing/Rents, …]

Game Market Statistics
[Revenue, Growth, …]

Mobile Tech Statistics
[Smartphone Penetration, Android vs iOS, …]

Device Context
[Device, Device Price, Resolution, Platform, …]

Game Context
[Genre, Rating, DAUs/MAUs, F2B %, …]

Temporal Elements
[Seasonality, Trends, …]

Gameplay Context
[Level, Sessions per Day, Events per Day,
Purchase History]

Machine Learning /
Models We Use

Revenue Regression Models

Micro-Level Non-Linear Demand Estimation Models

Behavioral Economics
Adjustments (Psychological Pricing)

Multi-Armed Bandit
Optimization

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