Dating KPIs and Benchmarks Cheat Sheet

Cost Structure for Dating Sites

Dating sites have predictable cost categories. Understanding them helps you forecast accurately. For realistic revenue projections at different scales, see our guide on how much you can earn running a dating site.

Fixed Costs (Don't scale with users)

Engineering/Development

• Salary for core engineer(s): $4,000-15,000/month
• DevOps/Infrastructure support: $1,000-3,000/month
• Third-party API costs (Twilio, auth services): $500-2,000/month
• Why fixed: You need 1 engineer from day 1 whether you have 10 or 10,000 users

Business/Admin

• Founder time (implicit cost): $5,000-10,000/month
• Legal/compliance: $500-2,000/month
• Accounting/bookkeeping: $300-1,000/month
• Why fixed: You need legal/tax support regardless of size

Marketing (if paid)

• If doing paid acquisition: $2,000-10,000/month (highly variable)
• If doing organic only: $0-1,000/month (content, social media)

Facilities

• Rent (if office-based): $0-3,000/month
• Equipment, software subscriptions: $200-500/month

Total fixed costs: $8,000-30,000/month depending on choices

Variable Costs (Scale with users)

Infrastructure/Hosting

• Database: $100-5,000/month (scales linearly with users)
• Server costs: $1,000-20,000/month (scales with active users)
• CDN/image storage: $500-5,000/month (scales with data)
• At 100 users: $300/month
• At 1,000 users: $500/month
• At 10,000 users: $2,000/month
• At 100,000 users: $15,000/month

Payment Processing

• Transaction fees (4-7% of revenue): Scales with revenue
• Chargeback fees: $15-100 per dispute
• Example: $20,000 monthly revenue x 5% = $1,000/month

Customer Support

• Support email, chat, moderation: $1,000-5,000/month
• At 100 users: $300/month (founder doing it)
• At 10,000 users: $2,000/month (part-time support)
• At 100,000 users: $5,000+/month (dedicated team)

Compliance/Security

• ID verification (third-party service): $0.50-2.00 per user
• At 100 users: $50/month
• At 10,000 users: $500/month

Total variable costs: 15-30% of revenue (after scale) or $500-3,000/month (early stage)

Revenue Structure by Scale

Revenue improves dramatically with scale due to better monetization.

Revenue Per User (ARPU)

Why ARPU increases:

1. Better matching with more users
2. More monetization levers (gifts, ads)
3. Better pricing power (more users = more value)
4. Premium features actually worth paying for

Subscription Revenue

Gift Revenue

Ad Revenue

Note: Ad networks won't even work with you until you have 100k+ impressions monthly.

Scale 1: 100 Users (Pre-Launch/Friends)

This is your friends-and-family MVP stage.

Monthly Costs

Monthly Revenue

Profitability

• Revenue: $35
• Costs: $5,050 (or $50 if not counting opportunity cost)
• Monthly loss: ($5,015) or ($15)

You are not sustainable. This stage is pure investment in product development. Focus on getting to 1,000 users.

What to focus on:

1. Build product people love
2. Get early feedback
3. Iterate on matching algorithm
4. Document everything for paying users
5. Don't worry about monetization
6. Don't spend money on infrastructure

Timeline to 1,000 users

• Month 1-3: Maybe 50-200 users (friends, early adopters)
• Month 4-6: Maybe 300-600 (word of mouth, ASO starts)
• Month 7-9: Maybe 1,000 if product is good

Many dating apps never get out of this stage. Most go dead at 100-500 users when growth plateaus.

Scale 2: 1,000 Users (Traction)

You have product-market fit signal. Real users are using it.

!Key concept for article 14 *Visual breakdown of the economics of running a dating site at different scales*

Monthly Costs

Monthly Revenue

Profitability

• Revenue: $275
• Costs: $8,650
• Monthly loss: ($8,375)

You're still burning money, but slower. At this rate, runway is critical. If you have $150,000 saved, you have about 18 months before you run out of money.

What to focus on:

1. Improve monetization (better pricing, more subs)
2. Grow users to 5,000-10,000
3. Optimize retention (lower churn)
4. Get product to "sticky" state (users love it)
5. Keep costs down (don't hire yet)

Timeline to 10,000 users

• Month 1-3: 1,000 users
• Month 4-6: 2,000-3,000 users (growth accelerating)
• Month 7-12: 5,000-10,000 users (if product resonates)

This stage is make-or-break. If you can't get to 10,000 users in 12 months, your product doesn't have product-market fit.

Scale 3: 10,000 Users (Profitability)

You're now a real business.

Monthly Costs

Monthly Revenue

Wait, let's recalculate. With better monetization at scale:

Still not profitable. Let's be more realistic with good product-market fit:

Profitability

• Revenue: $14,000
• Costs: $16,050
• Monthly loss: ($2,050)

Almost there. You're not profitable yet, but you're close. In 3-6 months with growth and optimization, you'll be profitable.

What to focus on:

1. Optimize conversion funnel (get more subscriptions)
2. Improve monetization (higher prices, more gifts)
3. Grow to 20,000-30,000 users (growth accelerating)
4. Reduce churn (better retention = better LTV)
5. Consider hiring second person (to scale ops)

Timeline to 100,000 users

• Month 1: 10,000 users
• Month 2-3: 15,000-20,000 (growth 50%/month)
• Month 4-6: 30,000-50,000 (growth slowing slightly)
• Month 7-12: 100,000 (if you maintain 30-50% monthly growth)

This requires excellent product-market fit and consistent execution.

Scale 4: 100,000 Users (Sustainable)

You're now a sustainable, profitable business.

Monthly Costs

Monthly Revenue

With good product-market fit and optimized monetization:

Profitability

• Revenue: $80,000
• Costs: $53,000
• Monthly profit: $27,000
• Profit margin: 34%

You're now profitable and generating real revenue.

Key metrics

• Monthly revenue: $80,000
• Annual revenue: $960,000
• Burn: Positive $27,000/month
• Runway: Infinite (profitable)
• Headcount: 3-4 people
• Cost per user: $0.53/month
• Revenue per user: $0.80/month
• Unit economics: Healthy

What to focus on:

1. Growth (scale to 200k, 500k, 1M users)
2. Improve profitability (margin expansion through ops)
3. Diversify revenue (new features, new markets)
4. Build team (hire to scale)
5. Consider fundraising (accelerate growth)

Timeline beyond 100k

• Month 1: 100k users
• Month 6: 200-300k users
• Month 12: 500k+ users (if executed well)

At this scale, you can spend heavily on marketing because unit economics are strong. CAC can be $5-10 with $80+ LTV.

Key Cost Drivers

Understanding what drives costs helps you optimize.

!Key Cost Drivers data breakdown for The Economics of Running a Dating Site at Different *Detailed breakdown of the data presented above*

Server/Infrastructure (Largest Variable Cost)

Costs scale with:

• Monthly active users (database size, API calls)
• Data storage (photos, messages, profile data)
• Traffic patterns (peak usage times)

Example scaling:

• 1,000 users: $300/month
• 10,000 users: $1,500/month
• 100,000 users: $8,000/month
• 1,000,000 users: $50,000+/month

How to optimize:

• Efficient database schema
• Caching (Redis, CDN)
• Auto-scaling (pay for what you use)
• Image compression
• Archive old data

Engineering (Largest Fixed Cost)

Your biggest cost is people. Developer salaries:

• Junior: $3,000-5,000/month
• Mid-level: $6,000-10,000/month
• Senior: $10,000-15,000/month

One developer can handle 10k-50k users if architecture is good. You need 2-3 engineers at 100k users.

How to optimize:

• Start solo (you build it)
• Contract out (more expensive initially)
• Hire junior + mentor them
• Outsource non-core (design, marketing)
• Don't hire until you're profitable

Payment Processing (Variable)

Costs:

• Payment processor fee: 3-5% of transaction
• Chargeback fees: $15-100 per dispute
• Especially high in dating (high-risk category)

How to optimize:

• Negotiate rates (volume discounts at 100k+ users)
• Reduce chargebacks (better UX, clearer billing)
• Use multiple processors (competition keeps rates down)

Support (Grows with Users)

At 100 users: You do it At 1,000 users: Part-time $500/month At 10,000 users: Full-time $2,000-3,000/month At 100,000 users: Team of 2-3 $8,000+/month

How to optimize:

• Automate common questions (FAQ, chatbot)
• Self-service tools (account recovery, billing)
• Limit scope (don't overpromise support)

Marketing (Most Controllable Cost)

You can spend $0-100,000/month on marketing.

At different scales:

• 100 users: $0 (friends only)
• 1,000 users: $1,000-2,000/month (organic + some paid)
• 10,000 users: $3,000-5,000/month (paid ads, ASO)
• 100,000 users: $10,000-20,000/month (scaled paid campaigns)

ROI varies:

• Early: $5-15 CAC (you need these users for network effect)
• Mid: $2-5 CAC (selection bias: best users)
• Late: $5-20 CAC (scaling paid ads, some waste)

Profitability Timeline

When does a typical dating site become profitable?

Key insight: Most dating sites reach profitability at 15,000-25,000 users.

Unit Economics Summary

What this tells us:

• Small sites are money losers (expected)
• Unit economics improve dramatically at 10k users
• At 100k users, you have a real business
• Scaling beyond 100k becomes easier (lower unit costs)

Key Takeaways

• Dating sites are capital-intensive early on. Expect 18-24 months of losses before profitability.

• Profitability typically arrives at 15,000-25,000 users, not millions. Don't wait for scale.

• Unit economics dramatically improve at 10k users. This is the breakeven point. Below this, you're losing money per user. Above this, you're printing money.

• Engineering is your largest fixed cost ($5,000-20,000/month). Consider starting solo and contracting.

• Marketing costs are discretionary. You can bootstrap with organic growth and spend money once profitable. Or spend money upfront to accelerate growth.

• Infrastructure costs scale but are manageable. A dating site serving 100k users costs $8,000/month in hosting. Not expensive.

• Profitability margin improves as you scale. At 100k users, a well-run dating site has 30-40% profit margins. This is excellent.

• Focus on growth over optimization until you're at 10k users. Optimization matters at scale.

• The hardest part is the first 10,000 users. After that, growth becomes easier because of network effects.