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 IAP conversion

Predicting likelihood to purchase and defining the optimal price per user, for promotional offers in a game, will boost conversion and revenues.
Compounding optimization results with Next Best Action framework, which also decides optimal expression of value, copy and asset optimization, will further increase positive results.

Increase upsell & cross-sell

Real time bundling of negatively correlated goods without the incremental unit cost will lead to an increased upsell value.
Product bundle examples could include basic packages, holiday sets, subscriptions boxes, product samples, and even giveaways.

Predictive Pricing for NFTs

Deploy real-time NFT price recommendations to optimize their starting auction price, or maximize their listing price based on macro and micro-econometric supply and demand models, and maximize NFT assets revenues.

Experiencing Promotional Pricing

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 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?

Experiencing Promotional Pricing

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 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
[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

Other wappier products that fit well with this product

Global Pricing

Next Best Action

Engagement Amplification

Cinderella: 3D Visualization

Global Pricing

Next Best Action

Engagement Amplification

Cinderella: 3D Visualization