Programmatic Mobile User Acquisition

Mobile DSP Platform to drive your app′s growth.

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

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Trusted by:
Programmatic UA clients
Case Study

Ubisoft / Howrse

Ubisoft UA

“Persona.ly allows us to diversify our media marketing mix and shows a similar learning curve as other big social network ad platforms. The team has offered a very personalized and responsive support since day one, with a very sound analytics approach to performance.”

Lucas RossirLucas Rossi, Growth Marketing Specialist @ Ubisoft

Results

55%
more installs

200%
higher D7 retention

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Scientific Approach to UA

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.

Mobile ua performance

Performance at Your Fingertips

Our dashboard provides granular insights into campaigns and shows where ads were displayed to potential users and how each creative is performing.

User acquisition targeting

Precise Targeting at Scale

With access to 2.8M ad auctions per second and the ability to analyze over 60 data points before serving each impression, our ML algorithm optimizes the campaign towards the most-performing user segments based on targeted in-app events to maximize ROAS.

Transparent user acquisition

Affirmed Quality Users

Alongside our constant optimization towards performance, we use aggregated data from our DMP in combination with real-time data analysis to detect anomalies and prevent any fraudulent activity.

Programmatic exchanges

Trusted Partners

Persona.ly is directly integrated with all major SSPs (exchanges) and OEMs, providing extensive reach and allowing us to target virtually any qualified user for our advertisers.

Auction Price Prediction

Our platform applies bid shading to win every relevant impression at the lowest price. Based on past auctions, our machine learning predicts the optimal bid price by examining a variety of audience attributes before bidding, so you′ll never have to worry about overpaying in the realm of first-price auctions.

Bid shading in programmatic

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

    Exploration

    Bidding on impressions based on basic demographic definition to start gathering data.

  • Basic logic

    Basic logic level

    A basic targeting algorithm based on the initial gathered data and proven strategies.

  • Unique classification Model

    Unique classification model

    A tailor-made targeting algorithm, optimized towards installation.

  • Engagement optimization

    Engagement optimization

    We utilize full-funnel data to optimize the algorithm towards improved retention and in-app purchases.

  • Scaling

    Scaling

Case Study

Rapido Bike-Taxi App

Rapido UA Strategy

“The team at Persona.ly was able to understand and deliver as per our business goals and KPIs right from the beginning with commendable transparency. With data driven experimentation and the platform′s high scalability, Persona.ly rapidly became an important contributor towards our acquisition goals.”

Arsh BhattArsh Bhatt, Performance Marketing Manager @ Rapido

Results

45%
lower CPA than the KPI

x13
Campaign Scaling within 4 months

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.

CreativeAnalysis
PerformanceReports
DemographicInsights
PlacementInsights
IncrementalityMeasured

Scientific Approach to Creative Performance

Our ML-driven model is adjusted to promote best-performing ads 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.

  • Playable & Interactive Ads
  • Dynamic Ads
  • Video
  • Native
  • Banners
Mobile playable ads
Mobile dynamicsAds ads
Mobile video ads
Mobile native ads
Mobile banners ads

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

Analytics and Measurement Partners

  • adjust
    adjust
  • appsFluer
    appsFluer
  • kochava
    kochava
  • branch
    branch
  • singular
    singular
  • firebase
    firebase
  • myTracker
    myTracker
  • tenjin
    tenjin
  • mparticle
    mparticle
  • adbri
    adbri

Take Your UA Strategy to the Next Level

Diversify your user acquisition strategy and reach your ideal users.