APPSTRACT DIGITAL INC

Scientific Advertising. Scientific Results.

Results driven technologies at the leading-edge of mobile advertising

The Next Generation in DSP

Proprietary Gen 2 demand-side platforms optimizes performance by intelligently analyzing data in real-time. From analysis to execution, our machine learning platform targets users at the onset of peak potential to ensure the highest possible LTV.

Deep Categories. Post-IDFA Proof.

Only platform that delineates 1000+ app categories versus the few dozen other platforms use. With enhanced contextual data, deep categories eliminate unfit audiences to precisely target maximum value users now and post-IDFA.

Data Science. Data Driven.

Exclusive access to our data science team for insights and customized machine learning platforms to ensure a successful partnership at any scale. From exploration to on-going campaigns, APPSTRACT DIGITAL INC is there for you every step of the way.

Services

Appstract’s user acquisition technologies deliver the highest LTV users for your app.

Deep Categories

The only mobile app user acquisition platform that delineates over 1000 app categories versus the few dozen other platforms use. With a much deeper understanding of app categories, our ML technology eliminates unfit audiences to precisely target maximum value users for your mobile app. Though perfected for both Android and iOS, by utilizing enhanced contextual data instead of IDFA dependent data, deep categories is ideal for mobile user acquisition campaigns now and post-IDFA.

At first glance, current app store categories appear to be a straightforward way to classify users for targeting. However, by considering category-centric user profiling, three major flaws appear. App store categories are:

Subjective
Inconsistent across different stores
Limited

The fastest-growing category, games, is most commonly challenged by these limitations.

Real Time Data Analysis

ML technology that uniquely analyzes all relevant data in real-time to merge deep categories contextual data with deterministic metrics for immediate, crystal-clear access to audience behavior. With real-time data analysis and execution, our ML platform ensures optimal targeting performance when acquisition is most likely to occur.

Depending on the app, as determined by Appstract’s Deep Categories, an interruption in a trivia game with set time limits could be as low as 30 seconds, on a quest game, where one can pause, it could be two hours, on a multiplayer game, where players are waiting, it could be less than 30 seconds. It’s very important to be in real-time so we can understand the session as it’s going. We need to know when they came back in real-time, and we need to know the depth the user is inside the session in real-time.

Targeting High LTV Users

With a fast, sophisticated real-time machine learning platform, Appstract not only targets high affinity mobile app users but preemptively identifies them at the onset of peak potential. When we bake in cross-app behavior analysis and enhanced deep categories, Appstract delivers the highest possible LTV users at the best possible time for your mobile app.

A good ML model needs to not only be able to identify the obscure qualities of high LTV users but also output a “user score” that is precisely proportional to that quality. When predicting whether or not a user is going to have a high LTV, the model should calculate the following at the time of an auction:

The probability that that user is going to click on the ad
The probability that that user will install given a click
The probability that that user will not churn immediately or after one use of the app
The probability that the user will make a purchase or see many ads
The probability that the user will make repeated purchases

Retargeting Across the Funnel

With robust in-app and cross-app behavioral analysis our ML technology incrementally retargets high quality users from the top of the funnel– before their peak potential, to mid-funnel– increasing engagement, and bottom-funnel– securing retention. By retargeting high affinity users, diminishing churn, and re-engaging, our platform secures users with the highest possible LTV.

Using Pareto’s law, 20% of the users on a given app are responsible for 80% of the developer’s income from that app. In most cases, especially in gaming, the value of 20% may be as low as 5%, which makes retargeting an even more essential factor for app growth.

Incremental Value

With full transparency, Appstract tests, verifies, and shares measurements to ensure all mobile app retargeting campaigns are hyper-focused on added value and authentic uplift. By testing treatment and control groups at the exploration phase and throughout ongoing campaigns, our platform is designed to consistently raise your incremental ROAS.

Mobile app retargeting and re-engagement are core activities for companies that need to stimulate their high LTV users. The default thinking for this field is mainly focused on retargeting churned users. However, when your users are constantly exposed to numerous temptations and opportunities from direct competitors, retargeting also plays a crucial role in keeping your most valued users engaged with your app versus spending their time and money elsewhere.

Creative Personalization

Our ML technology adapts in real-time to optimize and deliver personalized ads precisely based on your creatives and user behavior. With ads centered on all relevant in-app events, our platform re-engages high LTV users and reduces churn. Deep linking brings the user to exactly where they left off to further increase engagement.

The news is that we made it to the next level. Technology, data science, and creative can now be executed at a much higher resolution (user-level granularity) with much better accuracy, all while bidding for the best price in real-time, and even on massive scales. For this to happen, we need amazingly fast technology – to identify the user and serve them with the right ad at the right time, a wide range of different creatives to choose from, and the machine learning infrastructure to learn from the outcome of the ad being served. However, there is one thing that many agencies and app developers miss– they process and learn from millions of users, but use a very limited range of creatives.

Success Stories

At Appstract, we aim to enhance the returns on marketing investment via relevant and contextual ads across platforms (Mobile & Desktop) and also by reducing digital ad fraud.

Blogs

Our resource center that is designed to give you valuable insight on how technology can help your business win and give you a competitive advantage.

How Innovation in Hybrid Gaming Genres is the Key to China-HQ’d Companies Going Global on Mobile

In a partnered report, Google and App Annie present new insights on Chinese publishers expanding and succeeding overseas.

The Mobile Playbook for the Finance Industry

COVID-19 has changed the way people do business, and few industries illustrate that change as radically as finance. While finance consumers had already been migrating to mobile for more than a decade, the pandemic accelerated the shift — and that shift is here to stay.

State of mobile app strategies in the Middle East

Rising demand and usage of mobile-based interactions is reshaping how consumers engage and transact along the customer journey. In particular, the relatively ‘young’ Middle Eastern population is likely increasing pressure on businesses to refine mobile experiences that can cater to this growing demographic of digital and mobile natives.

Which technologies have the most momentum in an accelerating world? We identified the trends that matter most.

The top trends in tech Which technologies have the most momentum in an accelerating world? We identified the trends that matter most. McKinsey tech trends index Applied AI Next-generation computing Trust architecture Distributed infrastructure Future of connectivity Future of programming Next-level process automation and virtualization Bio Revolution Future of clean technologies Nanomaterials As all things digital continue to accelerate, which technology trends matter most for companies and executives? To answer that question, we developed a unique methodology to identify the ten trends most relevant to competitive advantage and technology investments.

The mobile-first enterprise report: How brands are being transformed by mobile devices

In our inaugural mobile marketing survey, AppsFlyer and Adobe team up to understand how 300 top corporations are redesigning their go-to-market strategy in our mobile-centric world.