Funds for Gaming Sector Forecasting Firm Kohort

In London, predictive modelling specialist Kohort has raised $7 million in Series A funding, with which to build user acquisition (UA) agents for mobile game studios.

Kohort uses a machine learning platform to provide mobile gaming analytics, cohort-based long-range forecasting and user acquisition optimization, for clients in the gaming and consumer sectors, including finance teams and investors. The firm says current UA agents 'naively optimize campaigns with low or no context of i) the ad network algorithm and how it reacts to changes in signals, ii) the conflict between short- and long-term LTV ('whales') and its implication on ROAS and iii) the ultimate goal of a game studio - wasteless UA spend while scaling revenue.'

Core product Ktrl generates network-specific bidding strategies and targets to help optimize every campaign a studio runs, integrating directly with ad networks. The company also provides deep, on-demand research into any UA trend, cross-referenced against a studio's historical data and benchmarked against the $1 billion in annual spend flowing through Kohort's platform. Reporting is automated and customised, and Kohort says its platform integrates with a studio's existing data warehouse and trains client-specific models in under twenty minutes.

The funding round was led by merchant bank The Raine Group, which already contributed to the company's seed round last year, and has built a commercial partnership with the platform.

'We are building agents - not just a Claude wrapper' states CEO Dan Marcus, '- and the predictions underneath them, to make that possible. User acquisition is one of the most critical and difficult operations for a mobile gaming studio. The best UA teams operate more like high-frequency traders than marketers, and they need agents that act on real context, not vague signals.'

Web site: www.kohort.io .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.