Mobile app growth platform for Apple Search Ads and app store testing
SplitMetrics builds mobile app growth software spanning Apple Search Ads management (Acquire) and app store page A/B testing (Optimize). Its data layer of Kafka, Kafka Connect, Airflow, StarRocks and ClickHouse points to high-volume ad and store data processing at TB/day scale. Hiring is accelerating and sales-led, with senior and VP roles across Europe, while projects center on agentic and GenAI-powered products.
SplitMetrics is a privately held company founded in 2014 and headquartered in Wilmington, Delaware, with 51–200 employees. It sells to mobile-first app and game publishers through a product family that includes SplitMetrics Acquire for Apple Search Ads campaign management, SplitMetrics Optimize for app store A/B testing and optimization, and an agency service arm. The company is an Apple Search Ads Partner, and its work covers screenshot, icon and video testing, product page optimization, app localization and app promotion. Hiring activity is concentrated in Poland, Serbia, Portugal, Spain, Ukraine and Germany.
SplitMetrics runs Python with Django and FastAPI, PostgreSQL, Redis, Celery, Kafka, RabbitMQ, Airflow, StarRocks and ClickHouse on AWS with Docker and Kubernetes, plus HubSpot, Gong and Highspot for sales.
SplitMetrics is hiring in Poland, Serbia, Portugal, Spain, Ukraine and Germany, with sales, product and marketing leading the mix and several senior and VP-level roles.
Current projects include agentic AI product development, launching new GenAI-powered products, an AI-first marketing stack, and scaling the Acquire platform's high-load data pipelines.
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SplitMetrics's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.