AI Engine | wappier

AI Engine for App Developers and Marketers

A single optimization engine that uses AI to model, predict, and influence consumer behavior in order to maximize revenue, retention, and lifetime value for each specific consumer real-time.

AI-Powered Technology

Fueled with:

Machine Learning

Advanced Data

Visualization

Next Best Action

Recommendation

Next Generation

Analytics

Our goal is to make your advertising budget worth every penny by making more out of your already existing audience. They are there, why not make them come back more often and spend more with the power of AI?

Aiming to:

Retain Longer

Engage Deeper

Convert Further

Monetize More

AI-Powered Technology

Fueled with:

Aiming to:

wappier AI Engine 02

AI-Powered Technology

Fueled with:

wappier AI Engine

Aiming to:

Each consumer counts and we know this because we have analyzed and optimized tons of them.

Over the last 4 years we have integrated our technology into over 80 apps, systems, and data sets. wappier’s Intelligent Revenue Management platform currently analyzes more than two billion data facts per day from over 15+ million consumers. That’s how it’s getting smarter every day.

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Consumers Optimized

AI-Powered Technology

Leveraging AI to empower app developers and marketers to track and analyze their consumers’ actions, model their behavior, predict what they will do next.

Know your Audience

Descriptive Analytics: Who they are

Predictive Analytics: What they will do next

Prescriptive Analytics: What they should do next

ML-Based Data Visualization

Manage your Audience

Smart Audience Management: 

Advanced Consumer Attributes

Dynamic Clustering

Pattern Identification

Optimize your Audience

Automated Loyalty: Next Best Loyalty Reward and Engagement Tactic

Pricing Optimization: Next Best Price and Offer

Know your Audience

Descriptive Analytics: Who they are

Predictive Analytics: What they will do next

Prescriptive Analytics: What they should do next

ML-Based Data Visualization

Manage your Audience

Smart Audience Management: 

Advanced Consumer Attributes

Dynamic Clustering

Pattern Identification

Optimize your Audience

Automated Loyalty: Next Best Loyalty Reward and Engagement Tactic

Pricing Optimization: Next Best Price and Offer

The Process of Closing the Loop

Track, Analyze, Predict, Recommend, Assess. 

Now, automate that.

Track

  • Consumer joins
  • Data start being tracked
  • ML algorithms start being trained

Analyze

  • Data are being analyzed
  • Consumer behavior is modeled:                                             ✓ retention curve, probability to buy, probability to churn, LTV, …

Predict

  • Expected Consumer LTV is X
  • Expected Next Best Tactic is Y
  • Expected Next Best Time is Z

Recommend

  • Platform computes and recommends consumer’s Next Best Action:                                           ✓ Optimal Tactic                     ✓Optimal Channel                               ✓ Optimal Timing

Assess

  • Consumer reacts to personalized recommendation which results in 30-50% performance increase

The Process of Closing the Loop

Track, Analyze, Predict, Recommend, Assess. 

Now, automate that.

Track

  • Consumer joins
  • Data start being tracked
  • ML algorithms start being trained

Analyze

  • Data are being analyzed
  • Consumer behavior is modeled:                                            ✓ retention curve, probability to buy, probability to churn, LTV, …

Predict

  • Expected Consumer LTV is X
  • Expected Next Best Tactic is Y
  • Expected Next Best Time is Z

Recommend

  • Platform computes and recommends consumer’s Next Best Action:                         ✓ Optimal Tactic                     ✓Optimal Channel                       ✓ Optimal Timing

Assess

  • Consumer reacts to personalized recommendation which results in 30-50% performance increase

The Process of Closing the Loop

Track, Analyze, Predict, Recommend, Assess. 

Now, automate that.

wappier AI Engine - The Process of Closing the Loop

Next Generation Analytics

Descriptive Analytics

Summarize History: What Happened and Why

  • Summary Statistics
  • Evaluating and visualizing the KPIs that matter the most:

✓ Retention
✓ Stickiness Ratio
✓ ARPU
✓ ARPPU
✓ LTV
✓ Time to 1st Purchase
✓…

Analyzing The Past

Predictive Analytics

Forecast Behavior:
What Will Happen

  • Machine Learning
  • What/If Scenarios (Counterfactuals)
  • Predicting the most relevant consumer behavior:

✓ Purchase LTV
✓ Ad LTV
✓ Probability to Churn
✓ Probability to Buy
✓ Probability to Share
✓…

Predicting The Future

Prescriptive Analytics

Affect Future:
What Should Happen

Affect Future:
What Should Happen

  • Convex Optimization
  • Optimally sized and timed Next Best Action Recommendation:

✓ ML-Recommended Marketing Tactics
✓ Optimal Pricing
✓ Bundling
✓ CTA Optimization
✓…

Influencing The Future

Next Generation Analytics

Descriptive Analytics

Summarize History: What Happened and Why

  • Summary Statistics
  • Evaluating and visualizing the KPIs that matter the most:

✓ Retention
✓ Stickiness Ratio
✓ ARPU
✓ ARPPU
✓ LTV
✓ Time to 1st Purchase
✓…

Predictive Analytics

Forecast Behavior:
What Will Happen

  • Machine Learning
  • What/If Scenarios (Counterfactuals)
  • Predicting the most relevant consumer behavior:

✓ Purchase LTV
✓ Ad LTV
✓ Probability to Churn
✓ Probability to Buy
✓ Probability to Share
✓…

Prescriptive Analytics

Affect Future:
What Should Happen

Affect Future:
What Should Happen

  • Convex Optimization
  • Optimally sized and timed Next Best Action Recommendation:

✓ ML-Recommended Marketing Tactics
✓ Optimal Pricing
✓ Bundling
✓ CTA Optimization
✓…

Analyzing The Past

Predicting The Future

Influencing The Future

Machine Learning Methodology That Makes Us Smart

State of the Art Interdisciplinary Approach

AI Engine visual 01

Formal Modeling

We don’t just rely on black-box methods; the first line of attack is model-based. Families of features are judiciously chosen, based on reflection, introspection, and model-derived empirical equations.

AI Engine visual 04

ML Enhancements

We don’t just stop in the approximately optimal output of the model-based approach. Machine learning takes charge to derive the first best. Features are transformed, controls are added, intermediate model estimates feed other models as new features and numerous techniques are automagically and recursively applied.

AI Engine visual 05

Statistical Validity Proof

We don’t just claim we boost KPIs, we employ statistics to prove we do and to quantify by how much. A/B/n Testing t, Paired t, Wilcoxon-Mann-Whitney, F Bayesian Framework Benchmark Ad Hoc Heuristics, Structural Modeling.

Machine Learning Methodology That Makes Us Smart

State of the Art Interdisciplinary Approach

Formal Modeling

We don’t just rely on black-box methods; the first line of attack is model-based. Families of features are judiciously chosen, based on reflection, introspection, and model-derived empirical equations.

ML Enhacements

We don’t just stop in the approximately optimal output of the model-based approach. Machine learning takes charge to derive the first best. Features are transformed, controls are added, intermediate model estimates feed other models as new features and numerous techniques are automagically and recursively applied.

Statistical Validity Proof

We don’t just claim we boost KPIs, we employ statistics to prove we do and to quantify by how much. A/B/n Testing t, Paired t, Wilcoxon-Mann-Whitney, F Bayesian Framework Benchmark Ad Hoc Heuristics, Structural Modeling.

Next Best Action Recommendation: Taking Personalization Beyond Segments

The wappier platform uses AI to compute, recommend, and serve real-time the next best action for the optimal consumer at the optimal time. Each consumer journey is different and composed by multiple, diverse touchpoints.

Let’s see an example. John is a loyal player who loves to play towards the end of the week and during late hours. Suddenly his typical, expected behavior changes. He logs in on a Monday at 09:00 am.

What  should we do? Should we serve him an offer now or wait until he logs in again when he is more likely to?

Next Best Action Recommendation by wappier (vertical)
Next Best Action Recommendation by wappier

We are not another ad network. We are not a CRM company. We are not another analytics dashboard. We use AI to visualize data in a way that has never happened before and optimize consumer behavior automagically.

Does all this sound complicated? Well, it is. The good thing is it is all automated. Let us give you a product tour and explain how it all works.

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Beyond Game Economy Design – Increasing Profit Through Intelligent Revenue Optimization

 

On January 21, 2020,  Ted Verani, VP of Business Development took the stage at Pocket Gamer Connects London as part of the Monetizer track to present Beyond Game Economy Design – Increasing Profit Through Intelligent Revenue Optimization.

Building a profitable mobile game takes more than a well-designed virtual economy. The most successful titles measure user-level behavior to create personalized retention and monetization systems that exist outside the core gameplay loop. True revenue optimization requires comprehensive analysis of every available data point to determine the ideal offers and ‘next best actions’ for each player. In this video, Ted shares how to build automated loyalty programs that improve engagement and retention across genres including hyper-casual, as well as tips on using Behavioral Economics to optimize IAP pricing strategies.

wappier @Pocket Gamer Connects London 2020

wappier in heading to London for Pocket Gamer Connects, January 20-21. 

Interview Title: “How Loyalty Programs can Improve Mobile Game Retention”

Our VP of Business Development, Ted Verani discusses Global Pricing, Intelligent Revenue optimization, and wappier’s AI driven approach to Loyalty & Retention with James Gilmour – Pocket Gamers January 22nd

wappier does #GDConnect2019 Flag: United States on Google Android 10.0

 

Our own Ted Verani moderated the Mobile Gaming Today panel with industry leaders at GameDaily Connect USA on August 27, 2019.

The mobile market represents around half of all global games revenues, and opportunities abound for savvy developers, but it is very challenging for game makers stand out from the crowd in app stores.  This led off a free wheeling conversation about how to not oly acquire players but to retain them,  as well as discussion on market trends and keys to success for the booming mobile space.  Our panel of experts shared perspectives and  vital points developers need to understand.

 

PANELISTS:

 

MODERATOR:

Ted Verani, Vice President Business Development, wappier

wappier featured @ PocketGamer.biz 📹

12 September 2018: Video Interview for PocketGamer.biz

Interview Title: “wappier on Using Dynamic Pricing in Mobile Games to Increase Spending and Retention”

Last September, wappier joined forces with Pocket Gamer Connects Helsinki 2018 and was part of this amazing mobile gaming gathering. On day 2, our Founder and CEO, Alex Moukas, met with James Gilmour, Video Production Editor at PocketGamer.biz. Alex chatted with James about Dynamic Pricing and how we are using machine learning to automate the pricing of IAPs in mobile games leading to a positive impact on both user spending and player/payer retention.

wappier does #PGCLondon2019 Flag: United Kingdom on Apple

21-22 January 2019: Pocket Gamer Connects London 2019

Session Title: “Loyalty Programs – Increasing Engagement and Retention Outside of Gameplay”

Our Founder and CEO, Alex Moukas, took the stage this January and shared his insights on why app developers need to invest in loyalty and retention to make more out of their existing users.

Summary: Leading brands and organizations around the world use Loyalty Programs as a way to engage meaningfully with their customers. Why not in mobile gaming? Loyalty Programs are an easy and effective way to improve engagement and retention outside of gameplay. Even a 5% increase in retention can lead to 30-100% increase in revenue. Plus, it’s cheaper to retain an old customer than acquiring a new one.

In this session, Alex Moukas will demonstrate how game developers can get revenue and retention boosts of 30%+ by enabling an Automated Loyalty Program for their existing players on top their game. He will focus on specific loyalty tactics, how to set up a program without affecting the underlying gameplay, and share case study results from over 30 mobile games.

wappier does #GDConnect2019 Flag: United Kingdom on Google

28-30 May 2019: wappier part of GameDaily Connect London 2019. With over 7,000 attendees each year, GameDaily Connect, ex Casual Connect, is one of the largest mobile gaming trade shows across the world with events in China, Serbia, Kyiv, Tel Aviv, London, Seattle, Anaheim, San Francisco, and more.

Panel Session Title: “Mobile Gaming Today”

Awesome Panelists:

Awesome Moderator: Our own Ted Verani, VP of Business Development @ wappier

The mobile market represents around half of all global games revenues, and opportunities abound for savvy developers, but how can today’s game makers stand out from the crowd on the App Store and Google Play? How can they not only acquire users but retain them? What are the keys to success and what lies ahead for the booming mobile space? Our panel of experts will discuss the vital points developers need to understand.

wappier does #PGCHelsinki2019 Flag: Finland on Google

1-2 October 2019: wappier proudly being part of Pocket Gamer Connects Helsinki in October 2019. The mobile gaming industry was there and so were we! On day 1, our Ted Verani, VP of Business Development at wappier, took the stage to wow the crowds.   

Session Title: “IAP Pricing Optimization: Timing and Place”

Summary: Knowing the right price in the right location at the right time is the first step towards maximizing revenue from in-app purchases. This tour of factors proven to impact IAP purchasing decisions will offer attendees a collection of low-cost, high-impact techniques for developing profitable mobile gaming environments combined with a case study on Global Pricing (per country optimization) results.

wappier @ PocketGamer.biz YouTube Channel

wappier featured @ PocketGamer.biz 📹

23 January 2018: Video Interview for PocketGamer.biz

The wappier team traveled to London this January to take part in Pocket Gamer Connects London 2018.

Interview Title: “wappier on Improving Mobile Game Monetization by up to 50%”

On day 1, Alex Moukas, Founder and CEO at wappier, gave a very insightful interview to James Gilmour, Video Production Editor at PocketGamer.biz. Alex shared with James his insights about the mobile gaming industry and how wappier is here to help it by building a cloud-based platform that optimizes revenue for mobile apps and games through Engagement and Loyalty Programs and Dynamic Pricing.

 

wappier @ White Nights St. Petersburg 2018

wappier does #WN2018 Flag: Russia on Apple iOS 13.2

4-5 June 2018: White Nights Conference @ Saint Petersburg

Alex Moukas, Founder and CEO at wappier, took the stage last June and shared his insights on why it is crucial to starts investing effort and intelligence on post-acquisition.

Session Title: “Users Acquired … Now What? Mastering Your Game’s Loyalty & Pricing”

 Summary: Established industries, multinationals, the Fortune-500 companies around the world use Processes and Systems that deliver 30-50% revenue increase from existing customers. Why are they literally non-existent in the Mobile Gaming World? It’s cheaper to retain an old user than acquire a new one, right? For the first time in history, 50-people companies are called to manage 50 million users, this cannot happen with typical marketing automation, segmentation, and workflows. Case studies show it’s time to start thinking of ways to reduce user churn and increase revenue from existing customers.

 

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wappier @ Dev.Play Bucharest 2018

wappier does #DevPlay2018 ✈️

4-5 October 2018: Dev.Play Conference in Bucharest powered by the Romanian Game Developers Association (RGDA), wappier was there!

Our VP of Global Business Development, Ted Verani, was there to talk Mobile Gaming and explain how wappier’s Intelligent Revenue Management Platform is transforming the way app developers and marketers maximize consumer revenue with powerful AI that moves beyond marketing automation.

Session Title: “Users Acquired … Now What? How to Use Loyalty Programs and Pricing Optimization to Maximize Revenue”

wappier @ Casual Connect Belgrade 2018

wappier does #CCBelgrade! ✈️

1-3 October 2018: Casual Connect this October 2018 in Belgrade was just awesome! Ted Verani, wappier’s VP of Business Development, was there to meet old and new industry folks and moderate a #NotToBeMissed panel with:

Panel title: “Designing Games for Optimal IAP”

What did we talk about? While the vast majority of mobile game revenue is earned through in-app purchases, designing games for optimal IAP remains a major challenge, requiring deep knowledge of UX design, virtual economy tuning, pricing economics, and many other disciplines. Featuring experts across these fields, this panel will give attendees concrete and proven advice for designing free-to-play, IAP-driven mobile games that consistently drive IAPs without alienating the player base.