Level 1: Idea validation. Analytics and why it is needed. Introduction through Product fit.
The primary questions that analytics work answers are:
1) Why start a dating business?
The ROI calculator will show the sales potential of your platform
Selling your previously launched dating business. For example, with annual revenue of $300K and 30% growth, the valuation could reach $1.12M.
2) Why Invest in Analytics?
Identifying profitable niches: Our clients identify profitable sub-niches on average 47% faster.
Optimizing acquisition costs: Reduce CAC by 32% within the first 3 months.
Increasing LTV: Clients using Level 2 Analytics increase LTV by 78%.
95% of dating platforms fail due to insufficient traffic analysis.
Professional analytics leads to 3.7x higher user retention
Accelerated path to Revenue Share: Instead of 18-24 months of independent development, reach revenue share in 6-8 months with our analytics.
Missed profit calculator without analytics
If your current revenue is $5K/month with a registration-to-payment conversion rate of 2%:
Improving conversion to 3% = +$2,500/month in additional revenue
Increasing retention by 20% = +$1,000/month in additional revenue
Over a year, you lose $42,000 without proper analytics
Approximate Timeline by Stages
Months 1-3: Level 1 Analytics – niche validation and basic conversion optimization.
Key trigger for transition: >1,000 registrations per month
Months 4-6: Level 2 Analytics – funnel optimization and LTV growth
Key trigger: >$5K/month in revenue
Months 7-12: Level 3 Analytics + scaling consultations
Key trigger: >$20K/month in revenue
3) ICP (Ideal Customer Profile) for your first 10 clients and MVP
Find a problem to solve. Even company buyers emphasize: "Don't just come up with ideas. First, find your ICP and the problem that needs solving for them. Calculate the economic benefit of solving this problem. For example:
Increased revenue
Expanded pipeline
1 hour per day time savings = 20 hours per month at $50/hour = $1000
Divide by 10 = $100/month
Only within these parameters should you develop a solution/product. Otherwise, doing it backward results in either no demand or selling to the wrong audience.
4) MVP is assembled for them, the sales funnel of dating and its functions. For example, AI functionality to increase engagement (e.g., AI Companion).
5) To measure demand for your model, you need measurement figures or analytics.
Dating Pro Analytics implementation Levels - Level 1: Start
Key Features:
Track approximately 10+ core user events: registration, email confirmation, basic profile completion, first search, profile views, initiation of interactions (likes/messages), dating funnel stages and payment actions.
Simple conversion funnels aligned to key revenue-driving steps
Basic user cohort and behavior analysis
Payment and revenue tracking integrated with primary PnL and unit economics metrics (CAC, initial ARPU, pay conversion rate)
Value to Business:
Clear visibility of how fundamental user actions translate to revenue
Ability to track main ROI and calculate basic unit economics
Fast, straightforward reporting aligned with PnL outcomes
Minimal data overhead, easy to implement and interpret
Best suited for new and budget-limited projects needing actionable, high-level insights and proof of value
Price Range: $499-$899
Level 2: Conversion optimization. See platform analytics through analytical tools and dashboards for tracking growth metrics
Step 1: Develop positive economics - ChartMogul or First versions in Google Sheets or Excel
Architecture - interface logic.
KPI tree - Unit economic metrics and KPI tree.
Step 3: Google Analytics | Amplitude | Firebase | PostHog
Get a complete understanding of your customers across devices and platforms. Google Analytics gives you the tools, free of charge, to understand the customer journey and improve marketing ROI. Google analytics is available on all plans
Use username (demodatingpro@gmail.com) and password (demoadmin1) to log in to the SoulCompanion.net Google analytics
Tools from Google for building app infrastructure, improving app quality, and growing your business
Use username (demodatingpro@gmail.com) and password (demoadmin1) to log in to the SoulCompanion.net Firebase analytics.
Uncover the hidden relationships between features, customer actions, and business outcomes.
Develop positive economics
Tests in initial marketing channels
Select and test hypotheses to achieve target metrics
ChartMogul helps subscription businesses track, analyze and manage their revenue data.
Level 2: Pro ($10K+/month)
Key Features:
Comprehensive event tracking: all user actions, including deep engagement points, support tickets, repeat and secondary purchases, and reactivation events
Advanced traffic source attribution
Detailed retention cohorts and segmentation
Fully instrumented conversion and drop-off funnels
Built-in A/B testing and experiment tracking
Heat maps and UX analytics
Automated churn prediction
LTV forecasting linked directly to segment and cohort behavior
Market trends and competitor benchmarking
Enhanced unit economics with granular linkage between behavior, monetization, and PnL
Value to Business:
Identify and double down on the highest quality and most profitable traffic sources
Deeply understand and optimize the entire user journey and conversion flow
Maximize user engagement and ROI with evidence-based product and marketing actions
Dramatically improve retention and proactively reduce churn via segmented behavioral insights
Maximize customer lifetime value and clarity on every driver of PnL performance
Data-driven scenario modeling for future-proofing and outperforming competitors
Ideal for fast-growing platforms, larger teams with dedicated marketing and product teams, and businesses prioritizing strategic growth
Price Range: from $999
Level 3: Scaling. Test channels or market fit
And after finding Product and Market fit - a balanced scorecard system for the "Run team"
What Is a Balanced Scorecard (BSC)
The term balanced scorecard (BSC) refers to a strategic management performance metric used to identify and improve various internal business functions and their resulting external outcomes. Used to measure and provide feedback to organizations, balanced scorecards are common among companies in the United States, the United Kingdom, Japan, and Europe. Data collection is crucial to providing quantitative results as managers and executives gather and interpret the information. Company personnel can use this information to make better decisions for the future of their organizations.
Example of a Balanced Scorecard (BSC)
You can find the Soul Companion dating service Balanced Scorecard here
Characteristics of the Balanced Scorecard Model (BSC)
Information is collected and analyzed from four aspects of a business:
Learning and growth are analyzed through the investigation of training and knowledge resources. This first leg handles how well information is captured and how effectively employees use that information to convert it to a competitive advantage within the industry.
Business processes are evaluated by investigating how well products are manufactured. Operational management is analyzed to track any gaps, delays, bottlenecks, shortages, or waste.
Customer perspectives are collected to gauge customer satisfaction with the quality, price, and availability of products or services. Customers provide feedback about their satisfaction with current products.
Financial data, such as sales, expenditures, and income are used to understand financial performance. These financial metrics may include dollar amounts, financial ratios, budget variances, or income targets.
These four legs encompass the vision and strategy of an organization and require active management to analyze the data collected.
Level 3: Custom for established platforms ($20K+/month)
Key Features
Cohort analysis
AI-powered insights
Multi-platform tracking
Predictive matching analytics
Dedicated data analyst
Executive reporting
Value to Business
Cross-platform attribution
Strategic competitive advantage
For industry leaders ($100K+/month)
FAQ
How Analytics prevents typical causes of failure
Problem: Wrong niche → Solution: A/B testing of target audiences at an early stage
Problem: Ineffective acquisition channels → Solution: Attribution analytics to optimize marketing spend
Problem: High churn → Solution: Cohort analysis and predictive models for retention
Problem: Low monetization → Solution: Analysis of paying user behavior
Expert support at every stage with the Revenue Share Option
Level 1: Monthly consultation on basic metrics (30 minutes)
Level 2: Weekly review of the funnel and A/B tests (1 hour)
Level 3: Dedicated analyst + monthly strategic session with a CSM