How to Create a Dating App: Free Course N21 - Startup Guide for Product Discovery with Dating Software - PG Dating Pro
18 minutes to read
The information will help you with the Dating Pro platform:
Navigate the path from idea to investments.
Save you a lot of time by avoiding common mistakes.
Launch dating site and apps. MVP.
Achieving Market fit. For a startup, it’s important:
that its sales channels scale and grow along with the project.
that the ARPU (Average Revenue Per User) always remains higher than the CPA (Cost Per Acquisition), and customers, on average, generate more profit than loss. Only in this case will the project have a positive unit economics.
🙋We will be happy to answer any questions about the information in the course. Contact us
Trusted by dating app users and services owners
Welcome to our Definitive Guide To Dating Business. You are probably familiar with the Pareto Principle, a rule that in brief states: 80% of actions yield 20% of results, while the remaining 20% of actions produce 80% of results. The Pareto Principle is widely confirmed by the activities of startup teams: when searching for an innovative business model, they often focus on inefficient actions.
In some cases, the misallocation of efforts leads to the complete closure of a business.
For example, CB Insights compiled a list of the main reasons why startups do not survive. These reasons include factors such as a lack of market demand or an underdeveloped business model—issues that could have been avoided by directing attention to the right areas (in our examples—conducting marketing research or calculating unit economics).
“Traction Map” tool. The benefits that participants in the team, investors, analysts, and experts can derive from the traction map include:
In a global sense, the traction roadmap contributes to advancing a startup from an idea to business scaling. Scaling is a process through which you can invest an amount of money upfront to ultimately gain even more money. Essentially, it’s the ultimate goal of any startup.
The traction map evaluates the startup’s tasks in terms of profit and development. It helps the team identify which steps need to be taken right now and which do not bring strategic value to the startup.
A list of customer segments and channels. This provides an understanding of the project’s current stage of development and what needs to be done right now.
Counter-guidance to action. Due to the principle of “don’t go to the right of red,” a startup easily dismisses actions that would be unnecessary at this stage/step. For example, until there is a statistically significant flow of sales, there is no need to focus on unit economics.
Focus of attention. Diversifying across more than 2–3 segments or channels is a losing proposition. The team always knows what it is working on right now.
Action tracking. The startup reports weekly on how many steps it has taken in specific segments and channels. If there is no progress anywhere, it’s a signal that something is wrong within the team.
Priority setting. A fully filled row means that the startup is already generating profit and can sustain itself. Therefore, it’s better to refine one channel than to make incremental progress in each one.
Why a startup needs a traction map. A traction map is not just a planning tool but also:
A startup diagnostic model.
A series of actions from idea to business scaling.
A visual demonstration of the development path to investors and specialists.
Help in planning early-stage investment (seed, Series A round).
A step-by-step business development guide.
A method for reporting on hypotheses and sales channels.
Links routine startup actions to its strategic goals. The table can be updated weekly or in the case of significant changes.
Launching new products, finding promotion channels
It’s worth noting that the traction map model was created for projects in the field of internet technology and IT and takes into account metrics typical for them. Nevertheless, a similar principle can be applied in other industries by replacing the metrics with local indicators of profit and loss from each customer. The undeniable advantage of the traction map is that it views the startup not from a technical perspective but from the viability of its business model.
The concept first appeared in one of the venture capital funds and then spread to many VC firms and startup studios. It is based on the Lean Canvas template, transformed into a horizontal format.
For clarity, we will use a shortened version of the traction map, divided into two halves:
On the left – Validation. Enumeration of customer segments for the startup product. On the right – Grow. Identified sales channels.
You cannot “jump” through a cell or insert data randomly. When a row reaches the boundary between the two parts of the traction map, the second stage begins for the corresponding customer segment – testing sales channels. This means that each row continues in the second part of the table (“Testing Sales Channels”).
Although you can fill in multiple rows simultaneously (and at different speeds), it is recommended to focus on just two or three segments or channels. Taking on more will scatter your attention too much—burnout is likely to catch up with you, and you may abandon the startup. If you fill in only one row at a time, progress on the traction map will be too slow to show effective results.
To facilitate reading the table, color-coding is used: steps you are focused on are marked in green. Uncolored white cells are completed steps, but you are not currently focused on them. Red ones are steps the startup is currently on.
Inside a row, you cannot step to the right of a red cell. If the current step is not completed, moving on to the next one is premature. Instead, you should focus on the red cells—they indicate tasks that need immediate attention.
If you are not satisfied with the value provided, return to the value proposition step and start the chain of steps from left to right again.
We have combined:
<!>The sequence of team steps on the map that cannot be skipped.
Checklists for each step for Dating Pro.
For readability, we have presented it in a vertical format:
Understanding the Dating App Market
The dating app market has experienced significant growth in recent years, with the global online dating market projected to reach $8.4 billion by 2027. With the rise of dating apps, the way people meet and interact with each other has changed dramatically. In this section, we will delve into the world of dating apps, exploring the statistics and trends that shape the industry.
Dating App Statistics and Trends
The online dating industry has seen a surge in popularity, with more people turning to dating apps to find meaningful connections. Here are some key statistics and trends:
59% of Americans believe that online dating is a good way to meet people, while 42% of Americans know someone who has met a romantic partner online. (Source: Pew Research Center)
The average user spends around 90 minutes per day on dating apps, with 70% of users reporting that they use dating apps to find a serious relationship. (Source: SurveyMonkey)
75% of online daters report that they have gone on a date with someone they met online, while 25% report that they have entered into a long-term relationship with someone they met online. (Source: Match.com)
The most popular dating apps among Americans are Tinder (42%), Match.com (25%), and OkCupid (22%). (Source: SurveyMonkey)
These statistics highlight the growing acceptance and reliance on dating apps as a viable way to meet new people and form lasting relationships.
Types of Dating Apps
Dating apps can be broadly categorized into four types: geolocation-based, questionnaire-based, traditional, and niche-based. Each type offers unique features and caters to different user preferences.
Geolocation-based
Geolocation-based dating apps use the user’s location to match them with potential partners in their area. These apps often use GPS to identify the user’s location and match them with others who are nearby. Examples of geolocation-based dating apps include Tinder and Bumble. These apps are particularly appealing to users looking for quick and convenient ways to meet new people in their vicinity.
Questionnaire-based
Questionnaire-based dating apps use a series of questions to match users with potential partners. These apps often use algorithms to analyze the user’s answers and match them with others who share similar interests and values. Examples of questionnaire-based dating apps include eHarmony and OkCupid. These apps are ideal for users who are looking for more in-depth compatibility and are willing to invest time in filling out detailed profiles.
Traditional
Traditional dating apps are often web-based and allow users to create a profile, upload photos, and search for potential partners. These apps often use a more traditional approach to matchmaking, with users able to browse through profiles and initiate contact with others. Examples of traditional dating apps include Match.com and Plenty of Fish. These platforms are well-suited for users who prefer a more hands-on approach to finding matches and enjoy browsing through a wide range of profiles.
By understanding the different types of dating apps and their unique features, you can better position your dating app to meet user expectations and stand out in the competitive online dating industry.
Stage 1. Product Fit #Validation #Customer Discovery #Customer Development
The founder’s task is to understand how to make consumers buy the offered product.
Competitor Analysis
Result: Identify who you are “disrupting” (maximum 2) in a large market
Explore courses and articles:
Online education course: “How to Copy Businesses and Stay Original” & How to find a business idea with ChatGPT. From idea to first investment”:
Ideas based on new categories and technologies Why it’s important to be 1st or 2nd in a specific niche and in the minds of the target audience.”
Ideas based on TRIZ and laws of system development.”
What and why to copy. How to find a successful counterpart worthy of replication. 7 key search approaches through: Google, Dealroom, Crunchbase, Unicorn List. What kind of customer expenses are we targeting.”
Sales channels. Technological stack. The main rule of replication: = 1 what + 1 who + 1 average check. Examples of product-channel fit. How to determine CAC, advertising offers, technological stack.
On what two parameters did ‘unicorns’ outperform their competitors? Counter-positioning and ‘exclusive resources’.
How to outperform competitors through replication from other markets.
Membership Subscriptions, Freemium, In-app purchases: users upgrade for enhanced features, Direct cooperation with advertisers, Advertising, New business models. What is the best way to monetize. How much top sites make. How much they really make
Use our Dating Site Customer Profile sheet to get a better understanding of your target audience: Demographics, Psychographics, Actionable Insight, Defining Target Audience, Surveys, Social Networks, Facebook Insights.
Customer Segment
Result: Describe the customer segment
Explore courses and articles:
Situation / User Story /
Result: Describe the situation in which a representative of the segment finds themselves.
Explore courses and articles:
Find examples of human behavior cases in the blog materials. Articles from Dating Pro blog #Human behaviour
Value Proposition.
Result: The team formulates hypotheses about the problems consumers face and what product can solve them.
Explore courses and articles:
Problem
Result: Describe the hypothesis of the problem you are solving
Solution
Result: Describe the hypothesis of the solution to this problem
The Benefit to Customers
Result: Describe the hypothesis of the benefit to customers in numbers
How Much Money is in the Segment
Result: Consumer expenditure category. Analyze the segment in the market. Economic modeling. The team identifies customer acquisition costs, market size, and production costs. The most important metrics at this stage are ARPU (average revenue per user) and CPA (cost per acquisition), with ARPU needing to be higher than CPA.
Complexity
Result: Rate the segment on a scale of 1 to 10 for comparison with other segments.
Believe in Success
Result: On a scale of 1 to 10, how much do you believe in this product?
Problem Confirmed
Result: Has the segment been confirmed? Is this the segment you described? Has the problem been confirmed? You need to conduct a series of detailed interviews with consumers to find out what their pain points are and why. This way, the team will identify target audience segments that most frequently encounter a specific problem.
Minimum Viable Product is Ready
Our platform is a live demo version with some limitations, as it operates as a fully functional dating platform.
In select cases, during one-on-one interviews, it is possible to conduct tests on the demo version without purchasing it.
Moreover, many entrepreneurs have successfully validated their ideas by presenting a simple PowerPoint presentation to potential customers and making direct sales—without launching the platform itself. This approach is a clear indicator that the idea, in its MVP form, is market-ready and in demand.
Most common questions when setting up your MVP:
1️⃣ Profile questionnaire setup – Adjust fields using the field editor.
2️⃣ Paid services configuration – Define access levels in access permissions.
3️⃣ Missing features? – Add them through Custom plan or request a quote from Professional Services.
4️⃣ Landing page integration – Connect a different design using Themes.
5️⃣ User profiles database – Start with a pre-filled user base to avoid an empty platform at launch.
6️⃣ Mobile app launch – Begin with the Android version for faster deployment.
Result: Create an MVP (Minimum Viable Product). Confirm or refute the hypothesis while spending a minimum of resources. The sooner the team shows potential buyers their product, the more data they will collect about user behavior and feedback. Note: Up to this point, the startup team has not spent a penny. Spending is possible here, but only a small amount.
Explore courses and articles about MVP in Stage 3. Earning income > Sales tool and product exists.
Where to get client traffic for conducting interviews with your first customers and making your first sales?
Result: At least 20 interviews or 300 registrations.
Explore courses and articles:
Solution Confirmed. First Sale. #Validate / #Iterate (or Pivot)
Result: The solution has been confirmed. The startup collects feedback on the MVP to understand whether users are ready to buy such a product. If the MVP is not in demand, it means the product needs improvement.
The financial benefit has been confirmed. Manual sales of $N (where N, for example, is $10,000) have been made, and the sales channel has been recorded. This is a marker of successfully completing the first stage of the traction roadmap. To ensure that this is not a coincidence, you can try selling the MVP to a few more focus group participants. It is useful to provide a few free copies of the product to users who refused to buy. This way, the startup team will continue to gather feedback, which can be used to plan further development of the functionality. At this stage, it is important to create a comprehensive consumer and market profile. The startup must delve into the hypothesis and determine which problems are invented and which are real. The better the Customer Development is worked out, the more confident the team will be at each subsequent step.
Key Metrics to Track
1. Registrations
🎯 Goal: 100+ per week
Tracking: Google Analytics
2. User Activity
🎯 Goal: 30%+ return rate
Tracking: Google Analytics
3. Payments
🎯 Goal: 2%+ conversion
Billing Setup
Tracking: Google Analytics
📈 Advanced Growth Path
Deep Analytics
1. Cohort Analysis
2. Behavioral Patterns
3. Unit Economics
📊 Analytics Tools
Google Analytics
1️⃣ Basic setup
🎯 Goals tracking
📌 Event monitoring
📊 Custom reports
2️⃣ Key reports
🚀 User acquisition
🔍 Behavior flow
💳 Conversion paths
Analytics
1️⃣ Built-in reports
📈 User growth
🏆 Engagement metrics
💰 Revenue tracking
2️⃣ Custom reports
🎯 User segmentation
🔄 Retention analysis
💵 Revenue breakdown
📢 Decision-Making Framework
🚀 When to Scale
✅ 1,000+ registrations
✅ 20%+ return rate
✅ Profitable unit economics
✅ Steady revenue growth
🔧 When to Optimize
⚠️ Low activity (<20%)
⚠️ High churn (>80%)
⚠️ No payments
⚠️ Negative unit economics
🌟 Success Stories
🎯 Niche Dating Platform
Ad spend: $500
Results: 150 sign-ups
Conversion: 3 paying users
ROI: 180%
🚀 Scaling Case Study
Starting point: Basic metrics
Optimization: Cohort analysis
Results: +40% retention
Outcome: Secured investment
📌 Next Steps: Your Action Plan
✅ Launch Checklist
🔲 Set up Google Analytics
🔲 Enable Dating Pro Analytics
🔲 Configure Custom events
📊 Data Collection
🔲 Track registrations & engagement
🔲 Analyze user behavior
🔲 Monitor revenue growth
Explore courses and articles:
Several stories of solution confirmation in the blog. Articles from Dating Pro blog #2 Customize: Cases & Stories of Awesome
Stage 2. It’s possible to attract investors.
At this stage, you can attract seed investments from business angels and early-stage funds through pitches.
Result:
Pre-Seed: At this stage, founders use their personal savings or contributions from friends and family to develop their business idea and create a prototype or proof of concept.
Seed Round: Seed funding is typically the first formal round of financing. It is used to fund initial operations, product development, and market research. Investors at this stage may include angel investors, venture capitalists, or early-stage startup accelerators.
Explore courses and articles:
Pitch Deck Preparation
Structure (10-12 slides)
1️⃣ Problem & Solution
Statistics on loneliness
Problems with existing solutions
Your unique approach
2️⃣ Market
Online dating market size: $4B, growing at 4% per year
Your target niche
Growth potential
3️⃣ Product
Screenshots of key features
Development roadmap
Technological advantages
4️⃣ Business Model
Revenue streams
Pricing strategy
Unit economics
5️⃣ Team
Founders’ experience
Key employees
Advisors
6️⃣ Financials & Metrics
Current KPIs
Growth projections
Investment allocation
Typical Investor Questions
1. About the Market
Target audience size
Competitive advantage
Market entry strategy
2. About the Product
User retention rates
Product roadmap
Defense against competitors
3. About Metrics
CAC and strategies to lower it
LTV and ways to increase it
Growth projections
4. About the Team
Industry experience
Equity distribution
Hiring plan
Key Metrics
Product Metrics
1️⃣ User Engagement
DAU/MAU (target > 30%)
Avg. session duration
Actions per session
2️⃣ Retention
% of completed profiles
Number of messages sent
Login frequency
3️⃣ Security
% of verified profiles
Number of user reports
Moderation speed
Business Metrics
1️⃣ Acquisition
Cost per install
Cost per registration
CAC by channel
2️⃣ Monetization
ARPU ($15-$50 industry average)
LTV (target > $200)
Conversion rate (2-8% benchmark)
3️⃣ Efficiency
Profit margin
CAC payback period
Retention rate
Financial Modeling {#financial}
Basic Calculations
1️⃣ Expenses
Development & maintenance
Marketing
Operational costs
2️⃣ Revenue
Subscriptions
Microtransactions
Advertising
3️⃣ Projections
User base growth
ARPU increase
Profitability timeline
Dating Business Specifics
High customer acquisition costs
Seasonal demand variations
Geographic targeting
Need for critical mass
Investor Selection {#investors}
Types of Investors
1️⃣ Angel Investors
Fast decision-making
Smaller checks
Valuable connections
2️⃣ Venture Capital Funds
Large investments
Longer process
Strict requirements
3️⃣ Strategic Investors
Synergy with existing businesses
Access to resources
Complex negotiations
Where to Find Investors
1️⃣ Specialized Platforms
AngelList
Crunchbase
Dealroom
2️⃣ Events
iDate Conference
GDI Conference
Startup pitch sessions
3️⃣ Networking
LinkedIn
Industry communities
Referrals
Resources
Investment consulting services for dating startups: Market analysis, fundraising support, financial models, go-to-market strategies → WaveUp
Read the $3M pitch deck: Business Insider
Top Dating Startup Accelerators, Incubators & VCs [2024] → Incubator List
Tools:
15minuteplan.ai – Business plan generator
Jasper.ai – AI-generated pitch decks, problem/solution breakdowns, business models, team structure, and financial projections.
Stage 3. Earning income #Market fit #Channel Testing. #GROWTH #Scale Up
3.0. Metric Analysis and Product-Market Fit Determination
Introduction
After launching your MVP and receiving initial payments, it's critically important to understand if you've truly found Product-Market Fit (PMF) and if you're ready for scaling. This section will help determine your current position and prepare for the next growth steps.
What is Product-Market Fit for a dating platform?
Product-Market Fit is a state where your dating platform solves the real problems of your target audience so well that users:
Regularly return to the platform
Recommend it to friends
Are willing to pay for additional features
Actively interact with other users
According to dating industry statistics from 2023-2024, niche dating platforms achieve PMF on average 7-9 months after launch, provided there's active work on the product.
Key metrics for PMF analysis
1. Growth metrics
DAU/MAU dynamics (ratio of daily active users to monthly active users)
Health indicator: 30-40%
Warning sign: below 20%
Funnel conversion
Registration → Profile completion: 70-85%
Profile completion → Interaction: 60-75%
Interaction → First payment: 2-8%
Retention indicators
Day 1: 40-60%
Day 7: 25-35%
Day 30: 15-25%
2. Economic metrics
CAC (customer acquisition cost)
By acquisition channels
By demographic segments
ARPU/ARPPU (average revenue per user/paying user)
Overall ARPU
ARPU by features (chat, boost, VIP status, etc.)
LTV (lifetime value of customer)
Projected LTV (minimum 3×CAC)
Actual LTV by cohorts
Return on investment indicator
Payback period: 3-6 months
ROI on marketing campaigns
3. Behavioral metrics
User activity
Sessions per week: 4-7 for active users
Time in app: 8-12 minutes/session
Interaction
Messages per day per active user: 5-15
Profile views: 20-50/day
Social indicators
Virality coefficient (K-factor): >0.3 for growing platforms
Percentage of organic installations: >20% for platforms with PMF
Product-Market Fit Test
The most reliable way to determine PMF is to conduct a Sean Ellis survey. Ask users the question: "How disappointed would you be if you could no longer use [your platform name]?"
Very disappointed
Somewhat disappointed
Not disappointed
I don't use it regularly
If more than 40% of users select "Very disappointed," you've achieved Product-Market Fit.
Two approaches to metric analysis
Approach A: Basic analysis (for new projects)
Set up basic analytics
Google Analytics
Built-in Dating Pro analytics
Basic conversion tracking
Focus on key metrics
Registration growth
Conversion to first payment
Basic retention (Day 1, Day 7)
Data-based iterations
Eliminating obvious funnel problems
A/B testing key screens
Optimizing first user experience
Approach B: Advanced analysis (for growing projects)
Enhanced analytical infrastructure
Advanced tools (Amplitude, Mixpanel)
User journey tracking
Cohort analysis and segmentation
Detailed behavior analysis
Attribution of abandonment and conversions
Funnel analysis by segments
LTV modeling
Strategic decisions
Value proposition review
Monetization strategy adjustment
Product development prioritization
Practical steps for PMF analysis
Step 1: Set up analytics
Connect Google Analytics
Set up tracking for key events:
Registration
Profile completion
First message sending
Profile views
Payments
Create a dashboard with key metrics
Step 2: Collect qualitative data
Conduct a Sean Ellis survey
Organize interviews with active users
Analyze reviews and feedback
Step 3: Evaluate metrics
Compare your indicators with industry benchmarks
Identify key problems in the funnel
Calculate acquisition economics
Step 4: Make decisions
PMF achieved: prepare for scaling
PMF close: focus on improving key metrics
PMF far: revise product strategy
Preparation for scaling
If you've determined that Product-Market Fit exists, next steps include:
Infrastructure assessment
Server readiness for increased load
Payment system scalability
User support preparation
Growth forecasting
Resource needs modeling
Personnel hiring planning
Financial indicators forecasting
Marketing strategy preparation
Selection of priority channels based on data
Marketing materials optimization
Budget planning
Case study: Achieving PMF with a niche dating platform "Tastebuds"
This is a niche dating application that connects people based on their musical preferences. It was launched in 2010 but actively developed and achieved PMF in recent years.
Metrics they tracked:
Retention Rate: Day 7 and Day 30 retention.
Conversion to paid subscriptions: Percentage of users upgrading to premium.
User activity: Number of likes, messages, and matches per user.
Distribution by musical genres: To ensure the platform attracts users with diverse tastes.
Problem they solved through metric analysis: Tastebuds faced a problem with low user retention. Analysis showed:
Users lost interest after filling out music preferences because the process was too complicated.
Low activity in the first week: many users didn't find matches due to limited number of people with similar tastes.
Uneven distribution of users by genre: some genres (e.g., indie-rock) were overrepresented, while others (e.g., classical) were underrepresented.
The Tastebuds team made the following changes:
Simplified the music preference completion process: Instead of a long list of genres, users could select up to 5 favorite artists.
Added weekly music events: For example, virtual concerts and discussions of new albums.
Implemented personalized recommendations: The algorithm began offering users matches not only based on genres but also on similar artists.
Results after 3 months of optimization:
Day 7 retention increased from 20% to 35%
Conversion to paid subscriptions increased from 1.5% to 4%
Number of active users increased by 50%
Conclusion
Achieving Product-Market Fit is not a one-time event but a process of continuous product improvement based on data. Regular metric analysis and quick response to changes in user behavior will help you build a successful and growing dating platform.
3.1. Sales channels
The concept of a “sales channel” encompasses two important factors:
Customer acquisition channel (e.g., affiliate traffic, contextual advertising, targeting, cold calls, and more).
Sales tools (landing pages, social media posts, persuasive phone call scripts, and more).
Therefore, through the sales channel, we direct consumers from various traffic sources to specific sales materials to complete conversions and exchange their money for our product.
Result: The sales channel you are testing is described. If you change any component in the current channel without an A/B test, it is already a new sales channel.
Explore:
Find examples of sales channels used by other business projects in the blog materials. By tags:
Articles from Dating Pro blog #2 Customize: Sell through chat bot
Articles from Dating Pro blog #2 Customize: Sell in watches
Articles from Dating Pro blog #2 Customize: Sell in TV set
3.2. Users engaged
Result: Attracted users from the channel. During channel testing, it’s essential to prove that there are consumers in a specific channel willing to pay for the product.
3.3. Sales tool and product exists
Result: Each channel requires its own dating site or apps (MVP) tailored to its specifics. If the MVP is duplicated for multiple channels, different tools will be needed for its promotion.
Learn about MVP:
Start for free. View pricing. Upgrade whenever.
How to start. Learn what you need to start your dating apps and website right away.
Free tools to grow your business.
How to customize your website’s Theme, logo, images, and colors. Dating Pro themes. Done for you Rebranded website and mobile apps.
Launching a dating site without members Prevent users from leaving at the start of your business. Use chat operators as part of the Dating Pro package or separately. Several case studies on how entrepreneurs found their first users. Articles from Dating Pro blog #1 Find people to date.
Find the right apps and integrations to acquire, engage and retain more customers. Dating ecommerce funnel in Conversion funnel. Dating Pro app’s categories.
Stories about opportunities and services that other entrepreneurs have tested in their projects. Perhaps you’ll find something valuable in them for your own project:
3.4. First sale in channel
Result: Made the first sale in the channel. At this stage, dead-end channels are eliminated. Trying to sell the MVP, the team quickly discovers which channels it doesn’t work on. Sometimes it’s necessary to change the traffic source, promotion tool, or even the MVP itself. Sales channels that brought the startup its first revenue continue on the traction map.
Explore courses and articles:
If the result doesn’t align, you can reassemble the Product fit by studying the Free N21: Startup Guide for Product Discovery with the Dating Pro Platform: How to Launch a Profitable Dating Business
3.5. Sales flow
Result: Achieved sales in the channel, e.g., $10K. Statistically significant sales flow. The team’s task is to gather data and assess the channel’s purchasing capability. For this purpose, sales are put on stream to collect a sufficient volume of data.
3.6. The economy has converged
The team establishes quality growth metrics and creates metrics that assess the quality of the sales channel. The more profit a channel brings, the higher its scaling potential.
Result: Revenue exceeds all your expenses in this sales channel by approximately 3 times. The intermediate stages mentioned will help with this. Repeat sales have occurred.
Acquisition
Retention
Activation
Engagement
Monetization
3.7. Economy converges on scale.
Convergence at scale. The startup increases traffic volume for the selected channel. If profit grows proportionally to traffic, and the channel demonstrates sufficient capacity, most resources can be shifted to this channel, and scaling can begin.
Result:
The sales team is onboarded. The marketing team is onboarded. The product has an ABCDX segmentation ready.
Unit economics have been proven to converge. Economics x3 of cost converges.
Explore courses and articles:
Stage 3.... It’s possible to attract investors.
At this stage, you can attract seed investments from business angels and early-stage funds through pitches.
Stage 4. Standardization of the Streams, Run, and Change Teams #Formation #Mission #Vision #Strategy
Responsibilities are allocated within the product across all directions.
…
Roles, structure, KPIs, and OKRs are defined for the product. Legal entity is established, and team shares are defined.
…
The North Star Metric is determined, reflecting the value of our product for the customer.
…
Hypothesis-driven work has been launched, making the team self-reliant.
…
Break-even point has been achieved.
…
Investments have been recouped.
…
Sufficient leads, sales, and shipments have been generated to meet the goal.
…
Stage 5. Exit
Result: you sold your stake in the project. The average duration is 4-10 years.
We created this guide to gvie you the exact information you’ll need to prepare your online dating site and apps for launch. To get more of our Online dating industry insights, follow us on:
The world of online dating is rich and exciting. According to Wikipedia and Statista.
700 million people are using online dating websites and apps. The worldwide online dating market alone is estimated at USD 4 billion. Online dating market will grow steadily till 2024
I hope that this manual will prove useful and help you to launch a profitable website of your dreams. I also invite you to visit our blog where we publish online dating trends, ideas of niche dating, contests and dating site and dating site owners cases, marketing tips and much more. The Dating Pro platform includes a wide range of modules and additional services that will help your dating site become popular and profitable.
If you have any questions or feddback regarding this manual or the services that we provide, feel free to contact us by email or our livechat. We are always here to help!
We wish you good luck on your way to success! 💘