Companies

Subsets

subsets.com

Subsets provides AI-powered lifecycle experimentation and retention automation for consumer subscription businesses.

HQCopenhagen, Not applicable (non-US headquarters), Denmark
Employees1-50
1 active role
Jobs checked 4d ago
Specialization
Not classified
Business
Software Applications
Market
Mediaand 1 more market values
  • Retail
Ecosystem
Applications
Customers
Enterprises
More details
Organization type
Commercial Company
Ecosystem
Applications
Business
Software Applications
Specialization
Not classified
Market
Media, Retail
Customers
Enterprises
Delivery models
Hosted Software
Revenue models
Not classified
Listing status
Not classified
Latest equity round
Pre Seed
Reported funding amount
Not classified

About

Subsets builds an AI-driven lifecycle growth and retention platform for consumer subscription businesses, including media and subscription-commerce companies. Its software helps commercial teams run experiments, personalize subscriber journeys, automate successful retention initiatives, and measure retention, engagement, and lifetime-value impact without engineering support.

Market

Subsets competes in the B2B subscription-growth, customer-retention, lifecycle-marketing, and churn-prediction software market. Its positioning is an AI decisioning and experimentation layer for consumer-subscription teams, integrating with existing CRM, billing, product, and data systems rather than requiring a complete replacement of the growth stack. It differentiates through custom machine-learning models, explainable audience insights, measurable retention experiments, and the ability to turn successful treatments into always-on automations without engineering support.

Target Customers

Consumer subscription businesses—especially digital publishers, streaming platforms, subscription apps, and telecom companies—with commercial, CRM, or subscriber-retention teams. The product is aimed at established or enterprise-scale subscription operators that want to run retention programs without relying heavily on engineering teams.

At a Glance

Problem

Consumer subscription businesses face a structurally expensive retention problem: healthy companies can lose 20–40% of subscribers annually, while the cost of acquiring new customers has reportedly risen by more than 200% over the past decade. The result is pressure on predictable recurring revenue and lifetime value. At the operational level, subscribers are often overwhelmed by impersonal or irrelevant messages that fail to sustain engagement. The clearest use case is digital media: identify subscribers whose behavior indicates rising churn risk, then test targeted interventions—such as email, push notifications, discounts, or feature upgrades—that persuade them to stay.

Product / Service

Subsets is a B2B, no-code AI retention and lifecycle-growth platform for commercial, CRM, and growth teams. Customers connect subscription, product, CRM, billing, content, and warehouse data; Subsets uses that information to create predictive audiences, explain the behaviors associated with retention risk, and let nontechnical teams run experiments across their existing channels. The platform automatically measures effects on retention, engagement, lifetime value, and related revenue metrics.

The delivery model is a continuous experiment-to-automation workflow. Teams test different retention or engagement treatments on dynamic subscriber audiences, see which initiatives produce statistically meaningful results, and turn successful flows into always-on automations as new subscribers enter the relevant audience. Subsets claims that its approach can increase customer lifetime value by more than 20% and extend subscriber lifetime by up to six months, while removing much of the engineering work from lifecycle experimentation.

Market

Subsets competes in AI-driven lifecycle growth, retention automation, and customer data activation for consumer subscription businesses, with an initial emphasis on digital media companies such as publishers, streaming platforms, subscription apps, and telecoms. Its positioning is less as a standalone messaging channel than as an AI decisioning layer over the existing growth stack: it determines which subscribers to target, what to test, and which successful treatments should be operationalized. The available sources do not identify named direct competitors, although the company operates alongside established CRM and lifecycle-marketing infrastructure.

The evidence indicates meaningful commercial traction rather than a purely pre-revenue product. Subsets is reported as trusted by The Atlantic, NBCUniversal, Daily Mail, Matas Group, and Hearst, and earlier coverage also identified The Athletic and Børsen as customers. It launched from Y Combinator’s Summer 2023 batch and has raised approximately $6 million; profile data lists $6.4 million, while the YC page lists $6.1 million. Revenue is not disclosed, but the customer roster, enterprise-focused operating model, and reported retention outcomes suggest an early commercial-stage SaaS company.

Founders & Leadership

Martin JohnsenFounder
CEO
Oliver BrandtFounder
CTO
Nikolai SkelboFounder
COO

Funding History

2023-08
Seed$500K

Y Combinator

2024-02
Pre-Seed$1.65M

Upfin, Y Combinator

Recent News

2026-05-31other
Customer Stories - Discover winning lifecycle experiments

Subsets’ customer-stories content highlights how leading subscription businesses use data, experiments, and automated journeys to improve engagement, customer lifetime value, retention, and growth.

2026-02-06product_launch
Retention strategies for subscription companies in 2026

Subsets published guidance on lifecycle-signal audiences, controlled experimentation, and measuring retention and revenue lift. The article also cites Daily Mail results including a 14% 30-day engagement boost and a 32% increase in customer lifetime value.

Active Roles

1
OnSite - New York City/Sales/79d ago

Business Model

Subsets appears to use a sales-led B2B software model, selling access to its AI retention and lifecycle-automation platform to consumer subscription businesses through demo-based commercial engagements. Public sources do not disclose whether pricing is subscription-based, usage-based, or contract-specific.

Products

AI-driven lifecycle experimentation and automation platformPredictive audiences for churn, retention, engagement, and upsell opportunitiesExplainable AI for identifying behavioral drivers of churnRetention experiment management, A/B testing, and impact measurementAutomation of successful retention workflows across existing CRM and engagement channels

Customers

The AtlanticNBCUniversalDaily MailMatas GroupHearst

Tech Stack

AI and machine learningExplainable AIPredictive audience and churn modelingA/B testing and lifecycle experimentationCRM, subscription, product, billing, CDP, analytics, and data-warehouse integrations

Competitors

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