This is the state of Tinder through data and insights.
Tinder Overview
| Info | Details |
|---|---|
| Name: | Tinder |
| Founded: | 2012 |
| Founders: | Sean Rad (Co-founder & Initial CEO) and Justin Mateen (Co-founder & CMO) |
| Headquarters: | California, United States |
| Parent Company: | Match Group |
| Business Model: | Freemium (Basic free services with premium subscription options) |
| Initial Launch Success: | Became the most downloaded dating app in the United States |
| Product Type: | Location-based social search mobile app |
| Global Reach: | Available in more than 190 countries |
| Languages Supported: | Available in more than 40 languages |
| Platform Compatibility: | iOS, Android, HMS, and all major web browsers |
| Current Revenue (2023): | $1.918 billion |
| Revenue Growth: | 6.91% increase from 2022 |
| Monthly Active Users: | 75 million |
| Paid Subscribers: | 9.2 million (as of Q3 2024) |
| Brand Awareness: | 84% brand awareness in the United States (2022) |
| Market Share: | 32.32% of US online dating market |
| Total Downloads: | Over 430 million since launch |
| Traffic Source: | 99.94% organic traffic, 0.06% paid traffic |
| Key Innovation: | Introduced the “swipe right” (like) and “swipe left” (pass) feature that has since become a cultural phenomenon |
User Demographics by Age
| Age Group | Percentage of Users |
|---|---|
| 18-24 | 35.70% |
| 25-34 | 25.50% |
| 35-44 | 20.40% |
| 45-54 | 8.20% |
| 55+ | 10.20% |
Key Insight: The majority of Tinder users (61.2%) are under 35 years old, this shows Tinder’s strong appeal to younger people.
Income Distribution of Users
| Income Level | Percentage of Users |
|---|---|
| Less than $30K | 12% |
| $30K-$60K | 15% |
| $60K-$80K | 26% |
| $80K-$100K | 20% |
| $100K+ | 20% |
Key Insight: The platform attracts users across all income levels, with the highest concentration (46%) in the middle-income brackets between $60K-$100K.
Global Usage Statistics
| Country | Active Users (millions) | Market Share |
|---|---|---|
| United States | 7.8 | 32.32% |
| United Kingdom | 5.0 | 22.22% |
| Brazil | 4.2 | 15.15% |
| Canada | 3.8 | 10.10% |
| France | 3.5 | 7.07% |
Key Insight: The United States dominates Tinder’s user base with 7.8 million active users, representing nearly one-third of the global market share.
User Engagement Metrics
| Activity | Statistics |
|---|---|
| Daily Active Users | 56% of total users |
| Average Daily Time Spent | 90 minutes |
| Average Daily Logins | 11 times |
| Weekly Matches Created | 1 million |
| Messages Sent (weekly) | 4.2 million |
| GIFs Used (weekly) | 4.2 million |
Key Insight: Tinder users show highly active engagement, spending an average of 90 minutes daily on the app and logging in 11 times per day.
Match Rate Statistics
| Gender | Match Rate | Average Daily Matches |
|---|---|---|
| Women | 10% | 7 matches |
| Men | 0.6% | 5 matches |
| Overall Average | 1.96% | 6 matches |
Key Insight: There’s a significant gender disparity in match rates, with women experiencing a match rate nearly 17 times higher than men.
User Intent Statistics
| Relationship Goal | Percentage |
|---|---|
| Serious Relationship | 80% |
| Casual Dating | 15% |
| Friendship | 3% |
| Other | 2% |
Key Insight: Despite Tinder’s reputation for casual dating, 80% of users report looking for serious relationships on the platform.
Premium Features Adoption
| Subscription Type | Percentage of Users |
|---|---|
| Free Users | 85% |
| Tinder Plus | 8% |
| Tinder Gold | 5% |
| Tinder Platinum | 2% |
Key Insight: While Tinder has a large user base, only 15% opt for paid subscriptions, with Tinder Plus being the most popular premium tier.
Peak Usage Times
| Day | Active Users (relative to average) |
|---|---|
| Monday | 85% |
| Tuesday | 90% |
| Wednesday | 95% |
| Thursday | 120% |
| Friday | 110% |
| Saturday | 95% |
| Sunday | 115% |
Key Insight: Thursday emerges as the most active day on Tinder, with user activity 20% higher than the weekly average.
Success Rate Statistics
| Outcome | Percentage |
|---|---|
| Matches Leading to Conversation | 70% |
| Matches Leading to Date | 95% |
| First Dates Leading to Second Date | 35% |
| Relationships Formed | 12% |
| Marriages (of relationships formed) | 27% |
Key Insight: While 95% of matches lead to in-person meetings, only 12% result in relationships, suggesting a significant filtering process from match to relationship.
Profile Optimization Statistics
| Profile Feature | Impact on Match Rate |
|---|---|
| Professional Photos | +45% |
| Group Photos | -15% |
| Wearing Sunglasses | -12% |
| Wearing Hat | -15% |
| Smiling in Photos | +14% |
| Face Clearly Visible | +27% |
| Outdoor Photos | +19% |
| Bio Length >100 words | +32% |
| Linked Instagram | +15% |
| Verified Profile | +58% |
Key Insight: Profile verification and professional photos have the strongest positive impact on match rates, while obscuring face features (sunglasses, hats) significantly decreases matches.
User Retention Rates
| Time Period | User Retention Rate |
|---|---|
| After 1 day | 90% |
| After 1 week | 75% |
| After 1 month | 45% |
| After 3 months | 28% |
| After 6 months | 18% |
| After 1 year | 10% |
Key Insight: Tinder faces significant user drop-off after the first month, with only 10% of users remaining active after one year.
Conversation Statistics
| Message Type | Response Rate |
|---|---|
| Simple “Hi/Hello” | 12% |
| Question About Profile | 35% |
| Humorous Opening | 45% |
| Compliment | 22% |
| Reference to Shared Interest | 58% |
| GIF/Meme | 30% |
| Custom Pick-up Line | 25% |
| Comment on Photo | 32% |
Key Insight: Messages referencing shared interests generate the highest response rate at 58%, significantly outperforming traditional greetings and pick-up lines.
Geographic Distribution (United States)
| City | Percentage of National Users |
|---|---|
| New York City | 8.2% |
| Los Angeles | 7.5% |
| Chicago | 4.8% |
| Houston | 3.9% |
| Phoenix | 3.2% |
| Philadelphia | 3.0% |
| San Antonio | 2.8% |
| San Diego | 2.7% |
| Dallas | 2.6% |
| San Jose | 2.5% |
Key Insight: Nearly 16% of all U.S. Tinder users are concentrated in just two cities – New York and Los Angeles.
User Activity by Time of Day
| Time Period | Activity Level (% of Peak) |
|---|---|
| 6 AM – 9 AM | 45% |
| 9 AM – 12 PM | 65% |
| 12 PM – 3 PM | 75% |
| 3 PM – 6 PM | 85% |
| 6 PM – 9 PM | 100% |
| 9 PM – 12 AM | 95% |
| 12 AM – 3 AM | 60% |
| 3 AM – 6 AM | 25% |
Key Insight: User activity peaks between 6 PM and 9 PM, with engagement nearly four times higher than early morning hours.
Premium Feature Usage
| Feature | Usage Rate Among Premium Users |
|---|---|
| Super Likes | 85% |
| Boost | 72% |
| Passport | 45% |
| Rewind | 68% |
| Unlimited Likes | 92% |
| Hide Age | 28% |
| Hide Distance | 35% |
| Control Who Sees You | 55% |
Key Insight: Unlimited likes and Super Likes are the most utilized premium features, suggesting users prioritize increased match opportunities over privacy features.
Match Distance Statistics
| Distance Range | Percentage of Matches |
|---|---|
| 0-1 miles | 5% |
| 1-5 miles | 25% |
| 5-10 miles | 35% |
| 10-25 miles | 22% |
| 25-50 miles | 10% |
| 50+ miles | 3% |
Key Insight: The majority of successful matches (60%) occur within a 10-mile radius, this highlights the importance of geographic proximity.
User Language Preferences
| Language | Global Usage Percentage |
|---|---|
| English | 45% |
| Spanish | 15% |
| Portuguese | 8% |
| French | 7% |
| German | 6% |
| Italian | 4% |
| Russian | 4% |
| Japanese | 3% |
| Other | 8% |
Key Insight: English dominates as the primary language on Tinder, used by nearly half of all users globally even in non-English speaking countries.
Account Verification Status
| Verification Type | Percentage of Users |
|---|---|
| Photo Verified | 35% |
| Phone Verified | 85% |
| Email Verified | 92% |
| Social Media Linked | 45% |
| Spotify Connected | 25% |
| Instagram Connected | 30% |
| Fully Verified | 22% |
Key Insight: While most users verify basic information like email and phone, only 22% complete all available verification methods, potentially contributing to concerns about fake profiles.
Message Response Time Statistics
| Response Time | Percentage of Messages |
|---|---|
| Within 5 minutes | 15% |
| 5-30 minutes | 25% |
| 30-60 minutes | 20% |
| 1-3 hours | 18% |
| 3-12 hours | 12% |
| 12-24 hours | 7% |
| Over 24 hours | 3% |
Key Insight: 60% of all Tinder messages receive a response within the first hour, indicating that quick engagement is crucial for maintaining conversation momentum.
Profile Bio Word Count Impact
| Bio Length | Match Rate Change |
|---|---|
| No Bio | -40% |
| 1-20 words | -15% |
| 21-50 words | Base Rate |
| 51-100 words | +15% |
| 101-150 words | +32% |
| 151-200 words | +28% |
| 200+ words | -10% |
Key Insight: Profiles with bios between 101-150 words perform best, suggesting users prefer detailed but concise self-descriptions.
Occupation Impact on Match Rate
| Profession Category | Match Rate Boost |
|---|---|
| Healthcare | +23% |
| Law/Legal | +20% |
| Entertainment | +17% |
| Technology | +15% |
| Education | +12% |
| Finance | +10% |
| Marketing | +8% |
| Sales | +5% |
| Service Industry | +2% |
| Unemployed | -18% |
Key Insight: Healthcare professionals receive the highest boost in match rates.
User Interface Interaction Statistics
| Feature | Daily Usage per User |
|---|---|
| Profile Views | 35 |
| Right Swipes | 70 |
| Left Swipes | 130 |
| Super Likes | 0.8 |
| Messages Sent | 12 |
| Profile Updates | 0.3 |
| Photo Changes | 0.1 |
| Settings Adjustments | 1.2 |
Key Insight: Users make approximately 200 swipe decisions daily, with a notably conservative right-swipe ratio of about 35%.
Seasonal Usage Patterns
| Month | Activity Level (% of Average) |
|---|---|
| January | 145% |
| February | 125% |
| March | 95% |
| April | 90% |
| May | 85% |
| June | 110% |
| July | 105% |
| August | 100% |
| September | 115% |
| October | 95% |
| November | 90% |
| December | 130% |
Key Insight: Dating app activity peaks in January (particularly the first Sunday, known as “Dating Sunday”) and during the winter holiday season.
Photo Type Effectiveness
| Photo Type | Match Rate Impact |
|---|---|
| Travel Photos | +35% |
| With Pets | +27% |
| Athletic Activity | +25% |
| Formal Dress | +22% |
| Workplace | +15% |
| Social Event | +12% |
| Selfie | -8% |
| Car Photos | -12% |
| Mirror Selfie | -15% |
| Shirtless | -25% |
Key Insight: Travel photos generate the highest positive impact on match rates, while mirror selfies and shirtless photos significantly decrease match likelihood.
Success Rate by Education Level
| Education Level | Match Rate |
|---|---|
| High School | 15% |
| Some College | 18% |
| Bachelor’s Degree | 23% |
| Master’s Degree | 25% |
| PhD/Doctorate | 27% |
| Professional Degree (MD/JD) | 30% |
| No Education Listed | 12% |
Key Insight: Higher education levels correlate with increased match rates, with professional degree holders experiencing the highest success rate.
Device Usage Statistics
| Device Type | Usage Share |
|---|---|
| iPhone | 45% |
| Android Phone | 42% |
| iPad | 6% |
| Android Tablet | 4% |
| Web Browser | 3% |
Key Insight: Mobile phones dominate Tinder usage with 87% of all activity, while tablet and web browser access remains minimal.
First Date Location Preferences
| Location Type | Percentage of First Dates |
|---|---|
| Coffee Shop | 35% |
| Restaurant | 25% |
| Bar | 20% |
| Park/Outdoor | 10% |
| Activity-based | 5% |
| Cultural Venue | 3% |
| Other | 2% |
Key Insight: Coffee shops remain the most popular first date choice, likely due to their casual atmosphere and low-pressure environment.
International Usage Patterns
| Continent | Active Users Distribution |
|---|---|
| North America | 35% |
| Europe | 25% |
| Asia | 20% |
| South America | 12% |
| Oceania | 5% |
| Africa | 3% |
Key Insight: North America and Europe together account for 60% of Tinder’s global user base.
User Retention by Initial Match Success
| Matches in First Week | 30-Day Retention Rate |
|---|---|
| 0-1 matches | 15% |
| 2-5 matches | 35% |
| 6-10 matches | 55% |
| 11-20 matches | 65% |
| 21+ matches | 75% |
Key Insight: Users who receive more than 20 matches in their first week are 5 times more likely to remain active after 30 days compared to those with 0-1 matches.
Correlation Between Bio Keywords and Match Rate
| Keyword Category | Match Rate Impact |
|---|---|
| Career/Ambition | +28% |
| Travel/Adventure | +25% |
| Food/Cooking | +22% |
| Fitness/Health | +20% |
| Music/Arts | +18% |
| Gaming/Tech | +15% |
| Politics/Religion | -12% |
| Relationship Status | -15% |
| Negative Attitudes | -35% |
Key Insight: Career and travel-related keywords in bios generate the highest positive impact on match rates, while negative attitudes decrease match probability by over a third.
User-to-Match Conversion Timeline
| Activity Period | Average Matches to Date |
|---|---|
| First 24 hours | 3 matches |
| First week | 12 matches |
| First month | 35 matches |
| First 3 months | 85 matches |
| First 6 months | 155 matches |
| First year | 285 matches |
Key Insight: Users typically need about 285 matches over a year to find a long-term relationship.
Time Investment vs. Success Rate
| Weekly Time Investment | Match Quality Score |
|---|---|
| Less than 1 hour | 35% |
| 1-3 hours | 45% |
| 3-5 hours | 65% |
| 5-7 hours | 75% |
| 7-10 hours | 78% |
| 10+ hours | 72% |
Key Insight: The optimal time investment appears to be 5-7 hours per week, with diminishing returns after that point.
Message Length Impact on Response Rate
| Message Length | Response Rate |
|---|---|
| 1-5 words | 12% |
| 6-10 words | 22% |
| 11-20 words | 35% |
| 21-30 words | 42% |
| 31-50 words | 38% |
| 50+ words | 25% |
Key Insight: Messages between 21-30 words receive the highest response rate, suggesting users prefer concise but thoughtful communication.
Profile Completion Rate Impact
| Profile Elements Complete | Match Rate Impact |
|---|---|
| Photos only | Base Rate |
| Photos + Basic Info | +15% |
| + Detailed Bio | +35% |
| + Connected Socials | +45% |
| + Verified | +58% |
| + Interests | +65% |
| 100% Complete | +75% |
Key Insight: Fully completed profiles receive 75% more matches than profiles with only photos.
Activity Time Window Success Rates
| Time Window | Match Success Rate |
|---|---|
| 6am-9am | 15% |
| 9am-12pm | 22% |
| 12pm-3pm | 28% |
| 3pm-6pm | 35% |
| 6pm-9pm | 45% |
| 9pm-12am | 42% |
| 12am-3am | 25% |
| 3am-6am | 12% |
Key Insight: Evening hours between 6pm-9pm show significantly higher match success rates.
Match Distance vs. Conversation Length
| Match Distance | Avg. Messages Exchanged |
|---|---|
| 0-2 miles | 45 messages |
| 2-5 miles | 38 messages |
| 5-10 miles | 32 messages |
| 10-20 miles | 25 messages |
| 20-30 miles | 18 messages |
| 30+ miles | 12 messages |
Key Insight: Physical proximity strongly correlates with conversation engagement, with nearby matches exchanging nearly four times more messages than distant ones.
Premium Feature ROI Analysis
| Premium Feature | Match Increase Per Dollar |
|---|---|
| Boost | 8.5 matches/$1 |
| Super Like | 4.2 matches/$1 |
| Passport | 2.8 matches/$1 |
| Unlimited Likes | 5.5 matches/$1 |
| Hide Age | 1.2 matches/$1 |
| Hide Distance | 1.5 matches/$1 |
Key Insight: Boost provides the highest return on investment in terms of new matches per dollar spent on premium features.
Account Age Impact on Match Quality
| Account Age | Quality Match Rate |
|---|---|
| 1-7 days | 15% |
| 8-30 days | 25% |
| 1-3 months | 35% |
| 3-6 months | 42% |
| 6-12 months | 48% |
| 1+ year | 55% |
Key Insight: Older accounts consistently receive higher quality matches, this could mean that the algorithm favors established users with longer usage history.
Revenue Growth and Financial Performance
| Year | Revenue (in millions USD) | Growth Rate |
|---|---|---|
| 2015 | 47 | – |
| 2016 | 169 | 259.57% |
| 2017 | 403 | 138.46% |
| 2018 | 805 | 99.75% |
| 2019 | 1,152 | 43.08% |
| 2020 | 1,355 | 17.60% |
| 2021 | 1,649 | 21.72% |
| 2022 | 1,794 | 8.80% |
| 2023 | 1,918 | 6.91% |
Key Insight: While Tinder’s revenue has grown consistently every year since 2015, the growth rate has steadily declined from its peak of 259.57% in 2016 to 6.91% in 2023, suggesting a maturing market.
References
DataGlobeHub makes use of the best available data sources to support each publication. We prioritize sources of good reputation, like government sources, authoritative sources, expert sources, and well-researched publications. When citing our sources, we provide the report title followed by the publication name. Where not applicable, we provide just the publication name.
- Tinder – statistics & facts – Statista
- Tinder Statistics: Latest Insights on the Top Dating App – AI MOJO
- Key Tinder Statistics You Need to Know – Cross River Therapy
- Tinder statistics: All you need to know about the dating app! – Roast
- Tinder Users by Country – World Population Review
- Tinder Revenue and Usage Statistics – Business of Apps
- Tinder Statistics – By Users, Demographic, Match Rate, Country, Usage and Social Media Traffic – EnterpriseAppsToday
- Tinder Statistics: Users & Revenue Data – Demandsage