# Analytico

## About

Analytico is a senior-led analytics engineering agency. We reconcile GA4, server-side tagging, and BigQuery so paid media budgets move on real revenue data.

- Verified: Yes

## Services

### Analytics Services
- [Paid Media Analytics](https://bilarna.com/services/analytics-services/paid-media-analytics)

## Pricing

- Model: subscription

## Notable Customers

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## Frequently Asked Questions

**Q: What is a digital analytics agency and what core services do they offer?**
A: A digital analytics agency is a specialized firm that helps businesses collect, analyze, and interpret data from digital channels to drive informed decisions. Core services typically include implementing and auditing analytics platforms like Google Analytics 4 (GA4), setting up Google Tag Manager (GTM) and server-side tagging, designing attribution models to reconcile revenue data across platforms, building data warehouses with BigQuery, and creating dashboards in tools like Looker Studio or Power BI. They also provide consultation on data strategy, experimentation frameworks for conversion rate optimization, and training for in-house teams. The goal is to ensure data accuracy, provide clear visibility into marketing performance, and enable confident budget allocation based on trusted metrics rather than platform-reported numbers alone.

**Q: How does server-side tracking improve accuracy in paid media measurement?**
A: Server-side tracking enhances paid media measurement accuracy by moving data collection from the user's browser to a secure server, reducing signal loss and discrepancies. Traditional client-side tracking can be blocked by ad blockers, suffer from browser limitations, and cause data mismatches between ad platforms and analytics tools. Server-side tagging, implemented via tools like Google Tag Manager Server-Side, ensures more reliable event capture, better consent management with Consent Mode v2, and improved data matching for platforms like Meta CAPI. This leads to cleaner revenue signals, more accurate attribution across channels, and a single source of truth that reconciles GA4 data with backend systems like Shopify or Stripe. As a result, businesses can trust their ROAS metrics, reduce wasted ad spend, and make defensible budget reallocations based on incremental growth rather than last-click attribution.

**Q: What is the TAO framework in digital analytics and how does it benefit businesses?**
A: The TAO framework in digital analytics is a systematic approach comprising Track, Analyze, and Optimize phases to transform raw data into actionable insights for business decisions. The Track phase involves engineering durable data collection through GA4 audits, GTM cleanup, and server-side tagging to establish a trustworthy foundation. The Analyze phase focuses on interpreting signal shifts across platforms, building attribution models, and creating role-specific dashboards that provide views into revenue reality, funnel health, and incrementality. The Optimize phase uses these insights to reallocate media spend, design CRO experiments, and support strategic bets with clear readouts. By following TAO, businesses move from report chaos to a coherent measurement system that aligns marketing, product, and finance teams, reduces time spent on data arguments, and enables confident investment in high-leverage opportunities.

## Links

- Profile: https://bilarna.com/provider/analyticodigital
- Structured data: https://bilarna.com/provider/analyticodigital/agent.json
- API schema: https://bilarna.com/provider/analyticodigital/openapi.yaml