CAC
Reduce customer acquisition cost
Identify low-quality traffic, weak segments and campaigns that generate conversions without sufficient long-term value.
Growth Analytics Consulting · Analytics Infrastructure · Experimentation
Growth Analytics & Analytics Infrastructure for Revenue‑Driven Growth
Connect acquisition, product, CRM and revenue data into one reliable system that improves CAC, LTV, attribution and growth decisions.
Free initial assessment · No sales commitment
Illustrative decision brief
Decision supportBusiness question
Can we scale acquisition without extending payback?
CAC trend
Rising
Marginal cost needs review
LTV quality
Stable
Retention holds by cohort
Payback risk
Above target
Scale would extend recovery
Data confidence
Medium
Revenue reconciliation gap
Decision
Hold & test
Protect payback while the highest-impact uncertainty is tested.
Next action
Reallocate toward retained-value cohorts, validate the funnel test, then resolve revenue matching before the next budget increase.
Systems I connect
From acquisition data to product behavior, CRM outcomes and real revenue.
Advertising
- Google Ads
- Meta
- LinkedIn Ads
Analytics & Data
- GA4
- GTM
- BigQuery
- Mixpanel
- GrowthBook
CRM & Revenue
- HubSpot
- Salesforce
- Pipedrive
- GoHighLevel
- CallRail
AI & Automation
- OpenAI
- Anthropic
- Make
- AI Integrations
- API Automation
The real growth problem
Your business does not need another dashboard. It needs a reliable decision system.
Most growth teams already have analytics tools. The problem is that marketing, product, CRM and revenue data remain disconnected.
- 01
Marketing reports conversions, but not profit
Campaigns are optimized around leads, signups or platform-reported revenue without considering customer quality, retention, default risk or lifetime value.
- 02
Product data stops before revenue
You can see clicks, sessions and feature usage, but not which behaviors predict activation, repeat purchase, repayment or long-term value.
- 03
CRM data is disconnected from acquisition
Sales outcomes, loan approvals, subscription revenue and closed deals are not returned to advertising and analytics platforms.
- 04
Teams debate numbers instead of acting
Different systems show different answers. Analysts spend time reconciling reports instead of helping the company make decisions.
The result: wasted acquisition spend, misleading attribution and slower growth decisions.
From fragmented tracking to growth intelligence
One infrastructure. One source of truth. Better growth decisions.
Before
- Platform-reported ROAS
- Disconnected CRM
- Incomplete customer journeys
- Manual spreadsheets
- Generic CAC and LTV
- Decisions based on averages
After
- Revenue and profit attribution
- Acquisition-to-CRM identity resolution
- Complete cross-system customer journey
- Automated data pipelines
- Cohort and segment-level unit economics
- Experiment-driven growth decisions
The Growth Decision Infrastructure
I connect the full path from acquisition to customer value.
Stage 01
Collect
Capture reliable first-party behavioral and acquisition data.
- GA4 and GTM architecture
- Server-side tracking
- Product analytics
- Consent-aware measurement
- UTM and click-ID persistence
Stage 02
Connect
Join marketing, product, CRM, payment and operational data.
- BigQuery or warehouse architecture
- CRM integrations
- Offline conversion tracking
- Billing and revenue integrations
- Identity resolution
Stage 03
Model
Turn raw data into growth and financial metrics.
- CAC and marginal CAC
- LTV and predictive LTV
- Payback period
- Cohort and vintage analysis
- Risk-adjusted contribution
- Attribution and incrementality
Stage 04
Activate
Send insights back into acquisition and customer workflows.
- Offline conversions
- Value-based bidding
- Audience activation
- Lead and customer scoring
- Automated reporting and alerts
Stage 05
Improve
Build a repeatable experimentation and decision process.
- GrowthBook experimentation
- Funnel diagnostics
- Holdout tests
- Incrementality analysis
- Forecasting and scenario planning
Showing stage 01: Collect
What this system helps improve
Better measurement is only valuable when it changes business outcomes.
LTV
Improve customer lifetime value
Understand which channels, behaviors and customer segments produce repeat revenue, stronger retention and higher long-term value.
Payback
Shorten payback
Connect acquisition spending to contribution margin and future revenue instead of optimizing around front-end conversion alone.
Margin
Scale with less risk
Understand how additional spending affects CAC, LTV, profitability, fraud, defaults, fulfilment costs or retention.
Decision Intelligence
Make faster, better-informed decisions
Replace fragmented reports and manual reconciliation with one reliable operating system for growth.
Predictability
Forecast growth before increasing spend
Model future CAC, LTV, revenue, margin and payback scenarios before committing additional budget.
Built for complex growth businesses
Especially valuable when conversion is only the beginning.
Connect acquisition, activation, subscription revenue, retention and expansion.
Questions it answers
- QWhich campaigns drive retained customers?
- QWhat predicts conversion from trial to paid?
- QWhere does payback deteriorate during scale?
Connect acquisition economics with approval, risk, repayment and repeat value.
Questions it answers
- QWhich channels produce profitable borrowers rather than cheap applications?
- QHow do default risk and repeat loans affect risk-adjusted LTV?
- QWhere does the lending funnel lose qualified customers?
Connect media spend, customer behavior, repeat purchases and contribution margin.
Questions it answers
- QWhich channels acquire customers with the strongest repeat purchase value?
- QHow do discounts, returns and fulfilment costs affect contribution margin?
- QWhich products and audiences improve blended CAC and payback?
Connect calls, forms, CRM outcomes, sales quality and real revenue.
Questions it answers
- QWhich campaigns generate qualified calls and closed revenue?
- QWhich locations, services and lead sources produce the highest-value customers?
- QWhere are leads lost between first contact and completed sale?
Ways to work together
Start with the problem. Build only what creates value.
For businesses that need to understand what is broken before rebuilding.
Includes
- Tracking and analytics audit
- Acquisition-to-revenue journey review
- Data quality assessment
- Measurement gaps
- Prioritized implementation roadmap
For businesses with disconnected marketing, product, CRM and revenue data.
Includes
- Tracking architecture
- BigQuery or data warehouse
- CRM and billing integrations
- Automated pipelines
- Source-of-truth data model
For teams that cannot reliably connect spending to profit.
Includes
- Channel and cohort CAC
- LTV and payback
- Contribution margin
- Offline revenue attribution
- Incrementality and assisted impact
For teams that already have data but lack a repeatable decision process.
Includes
- Experimentation framework
- GrowthBook implementation
- Hypothesis prioritization
- Funnel diagnostics
- Forecasting and decision support
For companies that need strategic leadership across acquisition, analytics, product and data.
Includes
- Growth operating model
- KPI architecture
- Strategic analysis
- Team alignment
- Ongoing growth reviews
- Prioritization of initiatives
Selected work
From fragmented systems to a measurable growth engine.
Building an acquisition-to-revenue infrastructure for a complex digital business
Challenge
Marketing, product and CRM data lived in different platforms, making CAC, attribution and revenue optimization unreliable.
What was built
- First-party tracking architecture
- Server-side event collection
- CRM and advertising integrations
- BigQuery data model
- Automated reporting
- Customer-level growth metrics
Outcome
The company gained a traceable path from acquisition source to customer outcome, creating the foundation for value-based bidding, better budget allocation and reliable growth decisions.
System architecture
- 01First-party tracking architecture
- 02Server-side event collection
- 03CRM and advertising integrations
- 04BigQuery data model
- 05Automated reporting
- 06Customer-level growth metrics
Server-side trackingBigQueryCRM integrationAttributionReporting automation
Interactive Growth Intelligence
Do not just read about the methodology. Use it.
Free tools designed to help teams diagnose measurement gaps, evaluate unit economics, plan experiments and identify growth risks before starting a project.
Live tools
AI Growth Infrastructure Assessment
Evaluate your tracking, analytics, CRM, experimentation and decision-making maturity.
Predictive LTV & Payback Calculator
Estimate future customer value, retention and expected payback.
A/B Test Calculator
Plan sample size and evaluate Control versus Variant results with transparent two-proportion methodology.
Marketing Budget Calculator & Growth Planner
Build a risk-adjusted marketing budget range, compare revenue scenarios and identify scaling risk without assuming CAC stays flat.
Coming soon
Funnel & Revenue Impact Calculator
Estimate how funnel-stage changes affect revenue impact before prioritising improvements.
In development
Every tool produces a practical result — not just a score.
How we work
Start with clarity. Build in stages. Measure the impact.
- 01
Diagnose
Understand the business model, customer journey, growth constraints and current data environment.
- 02
Design
Create the measurement architecture, data model, KPI system and prioritized implementation plan.
- 03
Build
Implement tracking, integrations, warehouse pipelines, analytics and activation workflows.
- 04
Validate
Test data quality, identity resolution, reporting logic and business metric accuracy.
- 05
Improve
Use the infrastructure to identify growth opportunities, run experiments and improve economics.
You retain ownership of every account, data pipeline, property and technical asset.
Why this is different
Strategy, analytics and implementation in one system.
- Business-first
- The architecture starts with revenue, profitability and customer value — not with a list of tools.
- End-to-end
- One partner can connect acquisition, website behavior, product analytics, CRM, warehouse and financial outcomes.
- Technically executable
- Recommendations can be implemented through GTM, APIs, BigQuery, CRM, server-side infrastructure and automation workflows.
- Decision-focused
- The goal is not more data. The goal is knowing what to stop, improve and scale.
- Independent
- No media-spend percentage, agency lock-in or proprietary black box.
Maksym Lazarevych
Data-Driven Growth Consultant
I work at the intersection of growth strategy, marketing analytics, product measurement and data infrastructure.
About MaksymGrowth Intelligence Library
Practical analysis for teams making high-stakes growth decisions.
Frequently asked questions
Growth analytics consulting, explained clearly.
A practical overview of how the work connects measurement, infrastructure and commercial decisions.
What is growth analytics consulting?
Growth analytics consulting connects acquisition, product, CRM and revenue data so a business can evaluate CAC, LTV, payback, attribution and experiments against real commercial outcomes.
What does analytics infrastructure include?
It can include tracking architecture, GA4 and GTM, product analytics, CRM and billing integrations, a data warehouse such as BigQuery, identity resolution, automated pipelines and decision-ready reporting.
Can you audit our current setup before implementation?
Yes. The usual starting point is a focused audit of measurement quality, customer journeys, data gaps and decision risks, followed by a prioritized roadmap rather than an unnecessary rebuild.
Which businesses benefit most from this work?
It is especially valuable for SaaS, FinTech, eCommerce and lead-generation businesses where a front-end conversion does not reveal retention, margin, repayment, repeat purchase or true customer value.
How do you connect marketing activity to revenue?
The work links acquisition identifiers and behavioral events with CRM, billing and operational outcomes, then models the resulting journey at customer, cohort and segment level.
How do the free Growth Tools fit into consulting?
The tools help diagnose a decision independently — measurement maturity, LTV and payback, experiment design or budget risk. Consulting is available when the finding requires architecture, implementation or an operating process.
Build the foundation before you scale
Find out where your growth system is losing data, money and decision speed.
Complete a structured assessment and receive an initial evaluation of your tracking, analytics, CRM and growth decision infrastructure.
Takes approximately 7 minutes · Practical recommendations included