Mapendo | Blog

Global Game Publisher experiences a 10x In-App Revenues increase thanks to Mapendo's help

A China-based game developer specialised in action strategy mobile games aimed at increasing its global presence. 250M+ users have already downloaded their games in 150 countries.

Mapendo Team

March 25, 2022

User Acquisition For Mobile Games

Mobile games Paid User Acquisition helps your gaming app get more users and downloads. Mapendo is a tech platform for automated app growth

Mapendo Team

March 23, 2022

USA’s Top Betting and Fantasy Sports' App dropped its CAC by 70% With Mapendo In A Single Quarter

High Level Results: +154% Install events, +289% Conversion Rate. We worked on acquiring high-quality users, who could generate in-app revenues by performing these post-install events. At the same time we tried to maintain our client’s Customer Acquisition Cost low, and thus improving the ROAS.

Mapendo Team

February 8, 2022

N°1 Cash Back App In The US Increases User Engagement 4X Thanks To Mapendo

High Level Results: +57% Installs, +372% Conversion Rate. Our goal was to maximise a high value KPI for the client, the number of First Scans, namely the action of scanning a receipt by using the mobile phone. We worked on boosting the rates of this type of post-install actions performed by acquired users, while also maintaining our client’s Customer per Acquisition Cost low, and thus improving their ROAS.

Mapendo Team

February 8, 2022

Mobile Growth: winning in User Acquisition for mobile apps

Bringing users to your online service is as important as getting potential customers enter through the door of your retail activity. As in any acquisition activity there are several ways to attract customers, some for free and some others paid.

Carlotta Pasqualini

February 4, 2022

Training data: the milestone of machine learning

Training data quality is one of those things that, if done right, guarantees success for any ml project. Here is why. Machine learning is a type of AI that teaches machines how to learn, interpret and predict results based on a set of data. As the world — and internet — have grown exponentially in the past few years, machine learning processes have become common for organizations of all kinds.