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Marketing analytics built for better decisions

From conversion tracking and attribution to GA4, Adjust setup, and pLTV models -
we build the measurement layer behind better decisions.

Book a Strategy Call

40+

Tracking Events Audited

6+

Analytics Tools Integrated

3w

Measurement Setup Timeline

1

Connected Data Layer

Marketing Analytics Services

Business oriented
analytics setup

Marketing analytics should show what drives leads, revenue, retention, and growth - not just traffic. Clean tracking helps teams understand which channels work, where users convert, and what needs to change.

TechUnit sets up measurement systems across GA4, Google Tag Manager, Adjust, ad platforms, CRM data, dashboards, attribution logic, and predictive revenue models so marketing decisions are based on cleaner data.

Marketing Analytics Problems We Fix

You cannot trust your conversion data?

Tracking logic, event setup, and QA help make key conversions cleaner and easier to validate.

GA4 shows traffic but not real business impact?

Events, funnels, audiences, and reports can be structured around leads, signups, purchases, revenue, and retention.

Attribution is unclear?

Channel, campaign, source, UTM, and CRM data can be connected to show which touchpoints actually influence outcomes.

Campaign reports take too long to prepare?

Dashboards can combine key metrics from analytics, ads, CRM, and revenue sources in one place.

Mobile app tracking is incomplete?

Adjust setup can help connect installs, events, campaigns, cohorts, and performance data across mobile acquisition.

Lead quality is hard to measure?

CRM and analytics data can be connected to track not only form submissions, but also qualified leads and sales outcomes.

pLTV is missing from growth decisions?

Predictive lifetime value models help teams compare users, campaigns, and cohorts beyond first conversion.

Tracking breaks after website changes?

A clear event architecture, QA process, and documentation reduce the risk of silent tracking issues.

Teams argue over different numbers?

One measurement layer creates clearer definitions, shared dashboards, and more consistent reporting across teams.

Full-service Marketing Analytics

Whatever needs to be measured - we build the tracking system that makes it clear.

Analytics Strategy & Measurement Plan

Analytics StrategyMeasurement PlanKPI MappingGrowth MetricsData RequirementsReporting Logic

Good analytics starts with the right questions. We define what needs to be measured, which KPIs matter, how users move through the funnel, and what data teams need for decisions.

GA4 & Google Tag Manager Setup

GA4 SetupGTM SetupEvent ConfigurationData StreamsDebug ModeConsent Signals

A clean GA4 and GTM setup creates the foundation for reliable tracking. Events, parameters, conversions, audiences, and tags are configured around real business goals.

Conversion Tracking & Event Architecture

Conversion TrackingEvent TaxonomyFunnel EventsForm SubmitsButton ClicksKey Actions

Key actions need clear definitions. Form submissions, purchases, signups, calls, downloads, bookings, and product interactions are structured into a consistent event system.

Attribution & Channel Performance

Attribution SetupChannel AnalysisUTM GovernanceSource Mapping,Campaign TrackingTouchpoint Review

Marketing decisions depend on knowing what influenced the result. Source, medium, campaign, channel, and CRM context are mapped to make performance easier to compare.

Dashboards & Reporting Systems

Looker StudioMarketing DashboardKPI ReportsExecutive ViewData VisualizationReport Automation

Dashboards turn raw data into usable visibility. Teams can track performance, compare channels, review conversion paths, and understand what changed without manual reporting.

Mobile Analytics & Adjust Setup

Adjust IntegrationApp EventsInstall TrackingCohort AnalysisMobile AttributionIn-app Actions

Mobile growth needs app-specific measurement. Installs, events, campaign sources, cohorts, and in-app behavior are connected for clearer acquisition and retention analysis.

pLTV & Revenue Analytics

pLTV ModelingRevenue ForecastingCohort RevenueCustomer ValueRetention MetricsGrowth Modeling

First conversions do not tell the full story. Predictive LTV, cohort revenue, retention patterns, and customer value signals help evaluate growth beyond short-term campaign results.

Analytics QA & Governance

Tracking QAData ValidationTag AuditNaming StandardsDocumentationMonitoring Process

Reliable analytics needs control. Tracking is tested, events are documented, naming rules are defined, and monitoring logic helps detect issues before they affect decisions.

How We Work

Phase 1

Analytics Audit & Goal Mapping

  • Business goals and KPI review
  • Existing tracking and dashboard audit
  • Website, app, CRM, and ad platform review
  • Conversion and funnel mapping
  • Measurement gaps and risk areas
Week 1
Phase 2

Tracking Architecture

  • Event taxonomy and naming logic
  • GA4 and GTM configuration plan
  • Attribution and UTM structure
  • Dashboard and reporting requirements
  • QA and documentation plan
Weeks 1-2
Phase 3

Setup & Integration

  • GA4 and GTM setup
  • Conversion and event tracking
  • Adjust, CRM, ad platform, or dashboard connections
  • Custom parameters and data layer setup
  • First reporting view for review
Weeks 2-3
Phase 4

QA & Data Validation

  • Event testing and debugging
  • Conversion validation
  • Source and campaign checks
  • Dashboard accuracy review
  • Documentation and fixes
Weeks 3-4
Phase 5

Launch & Optimization

  • Final analytics rollout
  • Team handover
  • Reporting documentation
  • Monitoring setup
  • Ongoing analytics support available
Week 4

Case Studies

Results that Compound

Full-Analytics Setup for a SaaS Platform

Perfomance marketingMarketing AnalyticsCRM Integration

Linki matches companies with expert remote teams. We built the analytics infrastructure that gave them full visibility across every channel, campaign, and conversion in one place.

2 w
GA4 Fully Implemented
3 w
Executive Dashboard Built
148 %
KPI Growth
118 %
Quarterly KPI Achievement

In Their Words

5 of 5

We’ll connect tracking, attribution, dashboards, and revenue signals into one clearer measurement layer.

Got marketing data that does not answer the real question?

Industries We Build For

We build analytics systems for teams that need cleaner tracking, better attribution, and clearer growth decisions.

Financial Services

Marketing analytics for fintech, lending, insurance, and investment teams that need controlled tracking, lead quality reporting, attribution, and revenue visibility.

SaaS & Software

Analytics systems for SaaS companies with product funnels, demo requests, trials, subscriptions, lifecycle stages, retention metrics, and revenue dashboards.

Real Estate & PropTech

Tracking and dashboards for property platforms, broker inquiries, listing performance, lead sources, location pages, CRM outcomes, and campaign attribution.

Rentals & Property Management

Analytics for booking inquiries, availability flows, lead forms, location performance, CRM follow-ups, campaign results, and customer acquisition reporting.

Crypto & Web3

Measurement systems for Web3 platforms, community growth, product onboarding, wallet actions, campaigns, user journeys, and conversion visibility.

E-commerce & DTC

Marketing analytics for product funnels, checkout behavior, campaign performance, customer cohorts, retention, revenue tracking, and LTV analysis.

Healthcare & MedTech

Analytics for patient inquiries, lead forms, service pages, campaign performance, reviewed tracking flows, and privacy-aware reporting structures.

Professional Services

Analytics for agencies, consultancies, legal teams, accounting firms, and B2B service companies that rely on lead generation and source visibility.

Education & EdTech

Tracking for course inquiries, student applications, admissions funnels, event registrations, lead nurturing, campaign reporting, and enrollment outcomes.

Why Now

Marketing data gets less useful when tracking is unclear, attribution is broken, or reports do not connect to business outcomes.

Privacy changes make tracking harder

Measurement needs clearer architecture as cookies, consent, browser rules, and platform reporting continue to change. Cleaner setup helps reduce blind spots.

Campaign costs need stronger accountability

As acquisition gets more expensive, teams need to know which channels create real value, not just clicks or surface-level conversions.

GA4 needs intentional configuration

Default analytics setup rarely answers business questions on its own. Events, parameters, reports, and conversions need to match the funnel.

Attribution affects budget decisions

If sources, campaigns, and CRM outcomes are disconnected, budget moves based on partial data. Better attribution supports better decisions.

Revenue visibility changes growth planning

Lead volume is not enough. Teams need to understand quality, conversion, retention, and long-term value to scale more confidently.

Tell us what you need -
we’ll build the system

Share your website, app, campaigns, CRM, and reporting questions. We’ll identify what tracking, attribution, dashboards, or models should be set up first.

What's Holding it BackWhat Should be Fixed FirstWhat Kind of Results are Realistic
Andrii F.Max B.Sergiy M.Book a Strategy Call

Questions, Answered

What marketing analytics services do you provide?

We set up GA4, Google Tag Manager, conversion tracking, attribution logic, dashboards, Adjust, CRM reporting, campaign tracking, and pLTV models.

Can you audit our current tracking?

Yes. We can review your GA4, GTM, events, conversions, UTM structure, dashboards, CRM connections, ad platform tracking, and data quality issues.

Can you set up GA4 and GTM from scratch?

Yes. We can configure GA4, data streams, events, parameters, conversions, audiences, GTM tags, triggers, variables, and testing workflows.

Can you help with attribution?

Yes. We can structure UTM rules, source mapping, channel reporting, campaign tracking, CRM connections, and dashboards that make attribution easier to understand.

Do you work with mobile analytics and Adjust?

Yes. We can support Adjust setup, install tracking, in-app events, mobile attribution, campaign reporting, and cohort analysis for app products.

Can dashboards combine data from multiple sources?

Yes. Dashboards can connect analytics, ads, CRM, spreadsheets, revenue data, app data, and other sources depending on the reporting setup.

What is pLTV modeling?

pLTV means predictive lifetime value. It helps estimate the future value of users, customers, cohorts, or campaigns based on early behavior and revenue patterns.

How long does marketing analytics setup take?

A focused tracking setup can often be completed in a few weeks. Larger systems with attribution, CRM data, dashboards, app analytics, and pLTV models take longer depending on scope.

What happens after setup?

We can support tracking QA, dashboard updates, event changes, new integrations, reporting improvements, documentation, monitoring, and ongoing analytics support.

Let’s build the measurement layer behind better decisions.

You bring the campaigns, channels, and reporting questions. We bring the tracking, attribution, dashboards, and analytics logic to make performance clearer. A senior team maps it, connects it, validates it, and supports it after launch.

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