Welcome to The Future of Marketing | wappier
Welcome to The Future of Marketing
Machine Learning-Based Marketing and Data Visualization

Welcome to The Future of Marketing

Transforming the way marketers maximize consumer revenue by building the Next-Generation AI-Based Marketing Technology that goes beyond traditional marketing automation and takes carbon-based lifeforms out of Marketing.

wappier is leveraging Machine Learning to bring the sophistication that exists in the advertising part of the business world (aka how to acquire new consumers) into the marketing/CRM part (aka how to convert more consumers into buying customers and how to maximize revenue from each and every one of these customers). Our Proprietary Machine Learning algorithms predict consumer behavior and execute in real-time the optimal marketing actions for each individual consumer resulting in revenue and retention maximization.

We are utilizing Descriptive Analytics to deeply analyze what happened and why it happened, Predictive Analytics to forecast what will happen next, and Prescriptive Analytics to target each individual consumer with the optimal next best action in real-time. This next best action can be a limited sale, an optimal marketing campaign, personalized ad copy, or anything else that makes sense to the consumer and will trigger their behavior by incentivizing them to take an action and move further down the consumer funnel. We are providing to marketers automated solution that bridge the gap between prediction and action.

Finally, our innovative 3D data visualizations tools deliver customer understanding to marketers in a way that has never been done before. The platform is leveraging machine learning to go from chaotic data pools to valuable information by deciding the what and the how of data visualization. Not only is the company bringing a level of sophistication to revenue and loyalty marketing that the industry so desperately needs, but it is going to completely revolutionize the data visualization and audience management industry by giving answers to questions you didn’t know you should be asking.

On the heels of our recent funding announcement, I’d like to introduce you to wappier: the world’s first and most powerful Intelligent Revenue Management Platform.

How We Got Here

Advertising, CRM, communication are sophisticated industries that sometimes use machine learning to optimize the consumer experience. However, in most cases the tools out there only reach a specific level of personalization where the engine computes a biased outcome for a biased segment of consumers that “look alike”.

The reason we started wappier?

We felt that the existing marketing automation tools don’t actually close the loop for the marketer. They require significant resources (time, people, budget) and produce inadequate, suboptimal and, in certain cases, biased results. The traditional world of marketing automation entails humans building segments and then dozens of rule-based workflows perform pre-ordained actions across each of these segments. This world is grossly inadequate to operate in an always-on world, incorporating dozens of heterogeneous and often unstructured data sources. These are exactly the norms we are looking to break.

Before wappier, analytics companies could analyze the past and, in some cases, predict behavioral trends, but they fell short of responding to them in a way that would benefit both consumers and brands. wappier is the only platform that can predict consumer behavior, prescribe 1-1 next-best action recommendations, and execute delivery of optimal marketing campaigns in real-time. All while streamlining big data analysis, modeling consumer LTV with machine learning, and generating built-to-purpose data visualization paradigms to help marketers gain an unprecedented understanding of their consumers’ lifecycle.

What we realized is that brands and marketers are leaving money on the table because of two main reasons:

  • lack of automated technology to manage, visualize, and understand data (thus consumers) and
  • lack of true, real-time 1-1 personalization that not only computes but also serves the optimal marketing action to each individual consumer.

And that’s why we started wappier. Introducing Closed-Loop Automation that will shape the Future of Marketing.

What We Do

We are building a next-generation MarTech product stack that revolutionizes consumer management and optimization. The wappier platform focuses on two core things:

  • 3D Data Visualization through Machine Learning-Based Consumer Intelligence and Predictive Audience Management
  • Next Best Action Recommendation through Automated Loyalty, Pricing Optimization, Ad and CTA Optimization

The framework that makes all this happen is a powerful AI Engine through four fundamental sub-elements:

  • Descriptive, Predictive, and Prescriptive Analytics
  • Automatic Feature Extraction
  • ML Modelling and Ensembling
  • Automatic Algorithm Fitting
Shaping The Future of Marketing witn the Power of AI

Next Best Action Recommendation

The wappier platform gives marketers and app developers the ability to manage their consumers in the most data-driven and fast way possible.

Applying traditional machine learning methods to everyday business problems requires time, money, resources, and expertise. Data science teams need to focus on business problems that matter: algorithms not ETL. What we have seen over the last few years is that, unfortunately, there is no single perfect algorithm that works for everything. Wish there was, right? Marketers have too many data points available without having sophisticated technology in-place to analyze the data effectively and in real-time which results in a dead-end.

The wappier platform accelerates the building and testing of machine learning algorithms by a factor of 100. We believe in “test, measure, learn, repeat,” but when performed manually, this cycle can consume the majority of a BI team’s time. wappier streamlines and automates the process, giving marketers the ability to A/B test or perform advanced multivariate testing in shorter cycles. This technology enables them to answer hyper-specific questions with ease, such as “Which offer works best for high LTV consumers during midnight hours?”.

wappier’s closed-loop platform creates real-time personalized recommendations in a way that maximizes Lifetime Value. The output of one algorithm becomes the input of another resulting in an optimization system that works independently. The system analyzes millions of data points in real-time in the background to cut through the data noise and give you the most valuable and actionable signals.

 One of the major pain points we identified in our initial explorations was that marketers lacked the tools they need to automate prescriptive analytics. Platforms offering “predictive analytics” were already widely available, but these tools only solved half of the problem.

It’s not enough to forecast and effectively influence consumer behavior. Marketers need an automated solution to bridge the gap between prediction and action. Our goal is to build a universal optimization engine that will model consumer behavior and serve the next best action in real-time. By utilizing AI and machine learning, wappier goes beyond marketing automation to optimize offers in real-time on a per consumer basis. Every consumer interaction is precious, so how do we fully optimize it? How do we make it meaningful enough to get the most possible value at all times for all consumers? Money is left on the table because our marketing is not truly personalized.

We are on a mission to go beyond typical automation workflows and power consumer management and optimization with AI. We are enabling marketers to automate and optimize the entire post-acquisition consumer journey by understating who their consumers are and closing the loop by serving the optimal 1-1 campaign in real-time.

 Marketing for individuals, not segments.

Next Best Action Recommendation

Machine Learning-Based Data Visualization

We have come a long way as human beings in data warehousing, processing, and business intelligence. However, data visualization paused with basic spreadsheets showing charts. The human brain wasn’t designed to think in terms of spreadsheets. We are at our most creative and insightful when we can visualize a problem in three dimensions. What’s more, two-dimensional graphs are highly reductive when it comes to analyzing consumer journeys of any kind. Three-dimensional visualizations demonstrate causal relationships between in-app progress, engagement, and desired behaviors far more effectively.

That’s why we created the industry’s most advanced 3D visualization engine, which makes it easy and intuitive to grasp data patterns across the consumer journey. The wappier platform is leveraging machine learning to go from chaotic data pools to valuable information by deciding which data to visualize and how. Bringing a revolution to the data visualization and audience management industry by giving answers to questions you didn’t know you should be asking.

wappier Machine Learning-Based Data Visualization

#Automagically Boosting Revenue and Retention

wappier is more than a machine learning platform — it’s the most powerful Intelligent Revenue Management platform ever contrived. We are revolutionizing the MarTech landscape.

wappier distills your data into intuitive visualizations and provide the tools to automate data extraction and accelerate testing. These technologies come together to help marketers maximize the value of the consumers that have already been acquired through the power of true 1-1 personalization.

Today, wappier is integrated into over 80 apps and systems analyzing over 2 billion data facts per day from over 50 million consumers. Curious to see it in action? Contact our team today for a demo.

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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.