Using our proprietary bidder and Machine Learning algorithms, we offer transparent, performance-driven, highly targeted UA and re-engagement solutions at scale.
“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.”
55%
more installs
200%
higher D7 retention
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.
Our dashboard provides granular insights into campaigns and shows where ads were displayed to potential users and how each creative is performing.
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.
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.
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.
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.
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.
Bidding on impressions based on basic demographic definition to start gathering data.
A basic targeting algorithm based on the initial gathered data and proven strategies.
A tailor-made targeting algorithm, optimized towards installation.
We utilize full-funnel data to optimize the algorithm towards improved retention and in-app purchases.
“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.”
45%
lower CPA than the KPI
x13
Campaign Scaling within 4 months
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.
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.
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.
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.
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.
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 ads are short (approx. 30 sec.) interactive ads where users can experience the product or game before downloading it.
Diversify your user acquisition strategy and reach your ideal users.
