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These are Dealroom's blue tags — the classification layer that describes how a company operates. A company can hold multiple tags at once; they're not mutually exclusive. A B2B SaaS platform earning via subscription ticks all three families simultaneously.
Example combo:
B2B
+
SaaS
+
Subscription
+
Marketplace
Tags stack — one company can have all of these.
Client Focus — Who do they sell to?
🏢 B2B — Business to Business
Companies whose primary customers are other businesses. Sales cycles tend to be longer, deal sizes larger, and products often require integration or onboarding. The majority of startups on Dealroom are B2B — enterprise software, HR tools, logistics platforms, and developer infrastructure all fall here.
Longer sales cycles
Larger deal sizes
Most common on Dealroom
Examples: Salesforce, Slack, Stripe, Workday
🛍️ B2C — Business to Consumer
Companies whose primary customers are individual end consumers. Typically involves shorter sales cycles, lower average order values, and large-scale marketing. Common in ecommerce, fintech apps, consumer media, and social platforms — where growth is driven by viral loops and brand awareness rather than a sales team.
Mass market
Short sales cycle
Brand & marketing driven
Examples: Spotify, Airbnb, Duolingo, Revolut
Business Model — How do they go to market?
☁️ SaaS — Software as a Service
Software delivered via subscription over the internet — accessed online rather than bought and installed. Customers pay monthly or annually for access without owning the software outright. Characterised by recurring revenue, high gross margins, low marginal cost to serve additional customers, and strong scalability. The dominant model for B2B software.
Recurring revenue
High gross margins
Cloud-delivered
No installation
Examples: HubSpot, Notion, Figma, Snowflake
🛒 eCommerce & Marketplace
A place connecting buyers and sellers where goods or services are bought, sold, or exchanged. The company facilitates transactions and typically earns via commission, listing fees, or subscriptions. Can be product-based (physical goods) or service-based (labour, expertise). Network effects make marketplaces defensible once scale is achieved.
Buyer-seller matching
Commission or listing fees
Network effects
Examples: Etsy, Fiverr, Faire, Catawiki
🏭 Manufacturing
Companies that make physical goods — by hand or machine — and sell the finished product to a customer. On Dealroom, this typically applies to hardware startups, deep tech, and industrial companies with a tangible product at the core. Margins tend to be lower than software, but physical goods can be harder to replicate.
Physical product
COGS-heavy
Hardware & industrial
Examples: Northvolt, Arrival, Desktop Metal
Income Stream — How do they earn?
🔄 Subscription
A periodic fee — monthly, quarterly, or annually — paid by the customer to access a product or service. Websites with a pricing page are usually subscription-based. The holy grail for investors: predictable, recurring revenue that compounds over time. Associated with SaaS, media, and membership businesses. Churn is the key risk metric to watch.
Recurring revenue
Predictable ARR
Churn is key metric
Examples: Netflix, Notion, Salesforce, Spotify
💸 Commission
Fees earned as a percentage or fixed amount on each sale or transaction facilitated. Revenue scales directly with volume — no transaction, no revenue. The dominant income model for marketplaces, payments companies, and brokerages. Take rate (the percentage kept) and transaction volume are the two levers that determine revenue.
Volume-dependent
Take rate × transactions
Marketplace & payments
Examples: Airbnb, Etsy, Wise, Coinbase
📢 Advertising
Monetary income earned from displaying paid advertising to users — on websites, apps, social platforms, or any content channel. Revenue depends on user volume, engagement, and the ability to target audiences. Works best when a platform has large, loyal audiences and rich behavioural data. CPM, CPC, and CPA are common pricing structures.
Audience-scale dependent
CPM / CPC / CPA models
Consumer platforms
Examples: Meta, Google, Spotify (free tier), Reddit
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Tags are applied by the Dealroom data team based on public information. If you think your company's tags are incorrect, you can submit an edit request after claiming your profile via Account → Manage Companies.