Analytics Services
Tracking setup, custom dashboards, and multi-touch attribution that show exactly what drives revenue.
Trusted by industry leaders
Cryomed
Porto Montenegro
Minto
Weestep
Alfacash
Bamboo Group
KISA
Promwad
Alvadi
Alconost
Alfa Coins
Infatica
Nitro
Ethplorer
Safety Culture
Selmac
Cryomed
Porto Montenegro
Minto
Weestep
Alfacash
Bamboo Group
KISA
Promwad
Alvadi
Alconost
Alfa Coins
Infatica
Nitro
Ethplorer
Safety Culture
Selmac
Analytics Packages
Comprehensive analytics services bundled at a fixed price. Choose the scope that fits your business.
Starter
For businesses getting started
- + Analytics audit
- + Tracking review
- + Basic dashboard setup
- + 30-min consultation call
Professional
Comprehensive package
- + Full analytics strategy
- + GA4 setup
- + Custom dashboards
- + Attribution modeling
- + 60-min strategy call
- + 30-day email support
Enterprise
Full-scale solution
- + Complete data infrastructure
- + Advanced tracking
- + Data warehouse integration
- + Team training
- + 2x 60-min strategy calls
- + 90-day priority support
Every Marketing Decision Is a Guess Until You Fix the Data
Without accurate tracking and attribution, you are optimizing based on numbers that are wrong. Broken analytics does not just waste reporting time — it misallocates budget, overstates channel performance, and hides the real drivers of revenue.
Misconfigured tracking costs more than no tracking at all
A GA4 setup that double-fires events, misses consent states, or loses cross-domain sessions produces data that looks plausible but is factually wrong. Teams make budget decisions based on these numbers every month. Fixing the foundation is not a nice-to-have — it is a prerequisite for every other marketing investment.
Attribution models determine where budget goes
Last-click attribution credits the final touchpoint and ignores everything that built demand. First-click ignores everything that closed the deal. Multi-touch attribution assigns proportional credit across the real buyer journey — so you can scale what actually works instead of what happens to be last in the chain.
Dashboards should drive decisions, not decorate walls
A dashboard that shows 40 metrics helps nobody. Effective reporting surfaces the five to ten KPIs your team needs to act on this week, segmented by channel, campaign, and audience. If your dashboard does not change behavior, it is not a dashboard — it is decoration.
What Analytics Services Include
Tracking and tag management
GA4 setup, Google Tag Manager configuration, server-side tracking, and event architecture that captures every meaningful user interaction. Consent-aware implementation that works with GDPR, ePrivacy, and cookieless environments.
Custom dashboards and reporting
Real-time dashboards in Looker Studio, Power BI, or Tableau that surface the KPIs your team needs to make decisions — not vanity metrics. Designed for specific roles: marketing, product, and executive views.
Multi-touch attribution modeling
Attribution models that assign credit across the full buyer journey — not just last click. Channel-level and campaign-level attribution that reveals the true drivers of conversions and revenue.
Three capabilities that make every marketing decision trustworthy
Trustworthy Data
Clean tracking, accurate events, and a single source of truth. Properly configured GA4, consent-aware implementation, and validated event architecture ensure the numbers your team acts on are actually correct.
- Accurate event tracking with validated firing
- Consent-aware setup for GDPR and ePrivacy
- Single source of truth across tools and teams
Decision-Ready Reporting
Dashboards that inform decisions, not decorate slides. Role-specific views surface the five to ten KPIs that matter this week — segmented by channel, campaign, and audience so your team knows what to do next.
- Role-specific dashboards for marketing and exec teams
- KPIs segmented by channel, campaign, and audience
- Automated reporting that replaces manual spreadsheets
Attribution Clarity
Connect spend to revenue across channels. Multi-touch attribution models assign proportional credit across the real buyer journey so you scale what actually works — not what happens to be last in the chain.
- Multi-touch attribution across the full journey
- Channel and campaign-level revenue mapping
- Budget allocation based on true performance data
From Broken Tracking to Trustworthy Data
Diagnose
Audit current tracking setup, event architecture, consent implementation, and data quality to identify what is broken or missing.
- GA4 and GTM configuration review
- Event firing and consent gap analysis
- Data accuracy baseline
Scope
Define the measurement framework: which events to track, which dashboards to build, and which attribution model fits your buyer journey.
- Measurement plan with event taxonomy
- Dashboard wireframes per stakeholder
- Attribution model selection
Execute
Implement tracking, build dashboards, and configure attribution. Every change is validated against live data before going to production.
- Server-side and client-side tracking setup
- Dashboard build and data validation
- Attribution model configuration
Prove
Verify data accuracy against independent sources. Deliver documentation and train your team to use the new measurement system.
- Data accuracy verification report
- Team training on dashboards and reporting
- Ongoing monitoring recommendations
Analytics Results
"We discovered that 40% of our conversions were being misattributed to the wrong channels. After fixing our tracking setup, we reallocated budget and increased overall ROAS by 65%."
Start With an Analytics Audit — Find Out What Your Data Is Actually Telling You
Tell us about your current tracking setup and measurement challenges. We will audit your analytics, identify data quality gaps, and recommend the right scope of work.
Analytics Audit from $400. One-time. No ongoing commitment.
15+ years in digital marketing, SEO, and localization. Designs scalable multilingual growth systems for international brands. Certified Google Partner.
Marketing team lead and growth strategist for B2B fintech and crypto companies. Builds measurable lead generation systems across strategy, analytics, content, and multi-market execution.
10+ years managing paid advertising campaigns across Google Ads, Meta, LinkedIn, Bing, and more. Cross-platform PPC strategy, analytics, and mobile app marketing.
Search engine marketing analyst with 15+ years in SEO, SEM, international growth, and technical audits. Builds scalable search systems across multilingual markets.
Questions Buyers Ask About Analytics
Which analytics tools do you work with?
We specialize in GA4, Google Tag Manager, Looker Studio, and BigQuery. We also work with Matomo, Plausible, Mixpanel, Amplitude, Power BI, and Tableau depending on your stack and requirements. Tool selection is based on your needs, not our preferences.
How do you handle data privacy and GDPR compliance?
Privacy is built into every implementation. We configure consent-aware tracking, implement server-side solutions where needed, and ensure compliance with GDPR, ePrivacy, and other regulations. Every setup includes proper consent management integration and data retention policies.
What is the difference between analytics setup and attribution modeling?
Analytics setup is the foundation: making sure events fire correctly, data is clean, and dashboards show accurate numbers. Attribution modeling is the layer on top: assigning credit across marketing touchpoints to understand which channels and campaigns actually drive conversions. You need the first before the second is meaningful.
How long does an analytics implementation take?
An analytics audit takes 5-7 business days. A full GA4 setup with custom dashboards typically takes 2-4 weeks. Attribution modeling requires 4-6 weeks of clean data collection before the model can be validated. We phase the work so you see value at each stage.
What is the best first step?
An analytics audit: we review your current GA4 setup, tag management, event architecture, and data quality. It shows exactly what is broken, what is missing, and which fixes will have the biggest impact on data accuracy and decision-making.