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Gamelight - AI-Backed Mobile Marketing

1.0.0

7

0

AI-Backed Mobile Marketing
Utilize our innovative AI platform to acquire high-value users at scale for mobile game marketing.
Gamelight - AI-Backed Mobile Marketing screenshot
Updated: Dec 7, 2023 Contact for pricing

Description

Gamelight is a platform for User Acquisition (UA) created specifically for mobile games. Gamelight's core strength lies in its ability to generate direct traffic of gamers from its independently managed game recommendation platform.

It features a wide array of targeting choices, such as targeting by age, gender, vertical, lookalike audiences, and competitor games, to precisely target and connect with the desired player base.

Gamelight leverages sophisticated algorithms to assess app usage data and user gaming patterns, gaining insights into their gaming interests and playtime habits. This information enables the platform to develop comprehensive user profiles that reflect their gaming behavior and demographic information.

As a result, it suggests tailored game recommendations that align with these user profiles, thus improving their overall experience. Gamelight also features an engaging Reward Algorithm.

This system encourages users to engage with games, rewarding them with points redeemable for gift cards and vouchers. This method of user engagement and retention helps create a loyal following for engaging gaming experiences.

Gamelight's Return on Ad Spend (ROAS) Algorithm also examines usage data to pinpoint users with a higher inclination to make in-app purchases, giving it a distinct advantage over other UA methods.

Pricing Plans

Model
no pricing
Packages
1 Package
Price Start From
Not specified
Payment Model
Not specified

Releases

The first version of Gamelight - AI-Backed Mobile Marketing has been launched.

Reviews

Pros & Cons

Pros

Sourcing traffic directly from gamers

Independent platform for game recommendations

Wide variety of targeting options

Cons

Difficult integration with third parties

Heavily relies on user engagement

Dependent on demographic information

Q&A

New Released

New Released