Bridging Mobile Apps with Engaged Users

Programmatic DSP for Mobile User Acquisition and Retargeting.

Using our proprietary Machine Learning algorithms, we offer transparent, performance-driven, highly targeted UA and retargeting solutions at scale.

Trusted by:

Our bidder processes over 2.8M ad auctions per second
We analyze 60 data-points before serving each impression
Our global reach allows us to launch a campaign in almost any market within hours

Utilizing Machine Learning

A proprietary machine learning algorithm is at the core of our programmatic DSP. Processing over 2,800,000 ad auctions a second while precisely targeting the audience, our platform accurately predicts the value of each impression and which users are going to interact with an app. It then bids accordingly, allowing us to achieve deep-funnel event KPIs.
Various classification models and data enrichment enable reliable classification, including age and gender prediction.

Our Data-Driven Process

While similarities do exist between apps within a specific vertical, each app is unique and finding more engaged, loyal users requires data, cooperation, and creativity. In our years of experience running mobile app campaigns, we have gathered knowledge based on proven business logic to lead and expedite the initial targeting model generation process, allowing us to reach KPIs and scale faster.

Exploration
Bidding on impressions based on basic demographic definition to start gathering data.
Basic logic level
A basic targeting algorithm based on the initial gathered data and proven strategies.
Unique classification model
A tailor-made targeting algorithm, optimized towards installation.
Engagement optimization
We utilize full-funnel data to optimize the algorithm towards improved retention and in-app purchases.
Scaling

Utilizing First-Party Data

Our algorithms analyze over 60 data points — including aggregated data from our DMP—allowing us to reliably predict which users are going to click, install, and bring revenue to your app.

Impression Level Features

Placement in App
Day & Time
Creative Type
RTB Exchange
Historical Placement Performance

User Centric Features

Category Retention
Geo Location
Installed Apps
Usage Hours
Perceived Persona
Session Depth

Engagement Analysis

Click Tendency
In-ad Behavior
Click Depth
Viewability

SKAdNetwork campaigns

For SKAN and post-iOS 14.5 campaigns, we utilize machine learning-driven natural language processing (NLP), enabling us to determine the contextual relationship between our advertisers′ apps and the apps where the ads are shown. This helps us model and bid according to the contextual ′distance′ of each apps couple. Aсcess SKAdNetwork performance data in our dashboard.

Dynamic Audiences Re-Engaged

Using our proprietary Dynamic Audiences segmentation engine, Persona.ly′s DSP can define user segments based on their in-app behavior to drive high ROAS.

Scientific Approach to Creative Selection

Our ML-driven model is adjusted to promote best-performing ads from the first positive event while constantly testing the rest of them based on a Multi-Armed Bandit (MAB) algorithm. As learning progresses, the ML model gradually transitions to the Contextual Bandits approach, where different creative ″champions″ are displayed to different groups of users based on group features.

Engaging Ad Formats

Playable & Interactive Ads
Dynamic Ads
Video
Native
Banners

Playable ads are short (approx. 30 sec.) interactive ads where users can experience the product or game before downloading it.

Auction Price Prediction

Machine learning algorithm predicts the auction price based on various audience attributes and bids as much as needed to win the impression. Known as bid shading, this technique ensures the optimal bid price without overpaying in the realm of first-price auctions.

Adding Transparency to the Black Box

Our dashboard provides our clients with detailed insights into their campaigns and allows them to see where ads were shown to potential users. Additionally, it shows how each creative is performing in real time.

Creative Analysis
Easily view and analyze the performance of your different creatives - from conversion to click and install, as well as in-app events, retention, and ROAS.
Performance Reports
Easily view and analyze the performance of your different creatives - from conversion to click and install, as well as in-app events, retention, and ROAS.
Demographic Insights
Easily view and analyze the performance of your different creatives - from conversion to click and install, as well as in-app events, retention, and ROAS.
Placement Insights
Easily view and analyze the performance of your different creatives - from conversion to click and install, as well as in-app events, retention, and ROAS.

Brand Safety-Centric

Because we strive to be the most reliable service for your agency, we work only with trusted partners to ensure high-quality traffic. We guarantee:

Premium placements within trustworthy SSPs only
Privacy-centric approach
Fraud prevention. Our ML models are focusing on anomaly detection both pre-bid and post-bid to prevent any fraudulent activity

Expert Support

We provide full campaign management service to ensure the best performance. Our global team of programmatic experts is there to provide insights on campaign performance, support you at critical times, and guide your team throughout the entire process.