Turn raw events into trusted, actionable insight- with a dedicated analytics stack built for Marketing, Product, Sales and BI.

You own the data. We build end-to-end reliable, scalable analytics systems - from tracking to warehouse - so your teams can trust their data and act faster.

Powering data for companies that operate at scale

Delivering production-grade analytics stack from event architecture and CDP migrations to warehouse modeling and BI delivery

  • Leading telecom company - Clodap analytics engineering client
    Leading telecom company - Clodap analytics engineering client
  • Global fintech platform - Clodap CDP implementation partner
    Global fintech platform - Clodap CDP implementation partner
  • Enterprise technology company - Clodap data engineering client
    Enterprise technology company - Clodap data engineering client
  • International e-commerce platform - Clodap tracking implementation
    International e-commerce platform - Clodap tracking implementation
  • Digital services provider - Clodap analytics partner
    Digital services provider - Clodap analytics partner
  • SaaS technology company - Clodap data pipeline client
    SaaS technology company - Clodap data pipeline client
  • Financial services company - Clodap warehouse modeling partner
    Financial services company - Clodap warehouse modeling partner
  • Technology enterprise - Clodap BI dashboard client
    Technology enterprise - Clodap BI dashboard client

What Our Clients Say

Real results from real partnerships

David V.

Chief Operating Officer

"They led a full-scale migration to Segment CDP that fundamentally transformed how our teams work with data. Clodap team architected the entire ecosystem end-to-end: event taxonomy, Sources, Protocols, Personas, warehouse pipelines and governance. Within weeks, we moved from inconsistent, siloed tracking to a clean, validated and reliable event pipeline processing millions of events per day. Data inconsistencies dropped by more than 40%, automated QA saved dozens of hours monthly, and our activation and reporting workflows became predictable and scalable. They operates at a rare intersection of technical depth, clarity and business impact."

Angel S.

Digital Marketing Director

"The team completely changed how our digital marketing organization measures performance. They rebuilt our measurement foundation - deploying server-side GTM, fixing legacy GA4 issues, and creating a clean, consent-compliant event framework that finally gave us accurate attribution. The dashboards delivered in Looker/Power BI became our daily source of truth across marketing, product and leadership. We've seen a measurable lift in decision speed, reporting accuracy and campaign efficiency. Clodap is the partner you bring in when you need a team that understands both analytics engineering and real-world marketing strategy."

Petr P.

Director of Web and Marketing Analytics

"Clodap delivered enterprise-grade analytics engineering end to end. The team rebuilt our conversion measurement stack: GA4 tracking, server-side pipelines, Salesforce integration and a Data Vault-aligned warehouse model that finally unified Marketing, Product and Sales around the same numbers. Their work unlocked deep funnel insights, churn patterns and product behaviors that were previously invisible. They combines strong engineering with the ability to translate complex data into clear, actionable insight. If you need a team that can connect the dots from raw events to business outcomes, this is the one."

Sven L.

Head of Engineering

"They designed and implemented scalable analytics solutions that integrated seamlessly with our engineering workflows. Their team delivered robust dbt models, optimized warehouse pipelines, and implemented automated testing and monitoring that dramatically improved data reliability. Thanks to their expertise, Engineering, Product and BI now rely on a clean, governed data layer that accelerates development and decision-making. This is a team that thinks like engineers and delivers like architects - providing analytics foundations that scale and consistently generate actionable insights."

What We Can Do for Our Clients

We design clean, scalable event taxonomies for web, mobile, and backend systems- aligned across marketing, product, sales, and BI.

We implement end-to-end tracking using GA4, Adobe, Firebase, Segment and server-side GTM.

We migrate and optimize your tag infrastructure to server-side, improving accuracy, reducing load impact.

We architect and deploy complete CDP setups: Sources, Protocols, Personas, governance and activation.

We build automated data validation, schema enforcement, and monitoring pipelines that continuously detect and prevent data issues.

We design and implement production-grade warehouse models using dbt- including staging, core, and marts layers.

We architect the entire analytics stack: tracking → CDP → pipelines → warehouse → dashboards.

We implement consent-aware analytics architectures that guarantee compliance (GDPR/CCPA).

We deliver full-funnel visibility across acquisition, onboarding, activation, and churn.

We build reliable attribution frameworks and marketing dashboards that connect spend, campaigns and audience behavior.

We design and implement event schemas, product KPIs, feature tracking, and behavioral analytics.

We architect enterprise-grade GA4/Adobe implementations, fix legacy setups, and deliver accurate measurement.

We connect marketing and product events with CRM and Salesforce data to enable accurate, end-to-end reporting.

We create fast, intuitive dashboards built on governed metrics layers.

We design Data Vault–aligned warehouse structures for enterprise environments.

We unify cross-device and cross-channel customer data into persistent identities.

We optimize query structures, pipelines, storage and compute, ensuring your analytics architecture performs reliably.

We establish clear, consistent KPI definitions across teams, replacing conflicting numbers.

We review your entire analytics stack, pinpoint technical risks, and deliver a clear, actionable roadmap.

We offer continuous support for tracking, CDP, pipelines, dbt models, and dashboards.

About Us

Clodap is an analytics engineering team specializing in building end-to-end data ecosystems for telecom and fintech companies. If Clodap reminded you of "closing the gap," you're already aligned with our mission. We bridge the gap between raw events and reliable insights, between marketing and engineering, between data you collect and decisions you can trust.

We design and implement production-grade analytics foundations: event taxonomy, tracking, CDP integrations, data pipelines, warehouse models, and BI layers, enabling organizations to operate on clean, accurate, and scalable data.

Our work bridges engineering, product, marketing, and BI. When the gaps disappear, the insights appear. We architect systems that align every team around the same metrics, ensure trust in the numbers, and deliver insights that drive real business outcomes. From high-traffic telecom platforms to large-scale fintech operations, we help companies turn raw events into reliable, actionable intelligence. Explore our complete analytics engineering services.

We don't just fix issues. We build analytics systems that last.

Global remote team. Fully aligned with your time zone and workflow.

Core Pillars
  • 1

    Accurate Measurement

    We deliver clean, consent-compliant tracking across web, mobile, backend and server-side systems: ensuring the data entering your ecosystem is complete, validated, and trustworthy.

  • 2

    Unified Customer & Transaction Data

    We integrate events, profiles, identifiers and transactional signals across CDPs, CRMs, warehouse models, and marketing tools: enabling a single, reliable view of customers, conversions, orders, and journeys across telecom, fintech, and eCommerce.

  • 3

    Scalable Data Infrastructure

    We build fast, cost-efficient pipelines and dbt-based warehouse models capable of supporting millions of events, transactions and interactions daily: with full observability, governance, and stability.

  • 4

    Actionable Insights & BI

    We design governed metrics layers and high-performance dashboards that empower marketing, product, sales, growth, and leadership teams to make confident, data-driven decisions.

  • 5

    Enterprise Reliability & Governance

    We enforce standards, automated QA, monitoring, event validation, and documentation across the entire analytics stack: ensuring long-term stability, auditability, and trust as your business scales.

Trusted expertise for data-driven teams across Telecom, Fintech, and eCommerce. We operates as a senior-only analytics engineering team delivering production-grade data systems. Companies choose us because we take an engineering-first approach: not as an agency, but as a technical partner that builds, governs, and scales real analytics infrastructure. We provide true end-to-end ownership: from event taxonomy and tracking, through CDP integrations, pipelines, and dbt modeling, all the way to warehouse architecture and BI delivery.

Organizations value our ability to create accurate, governed, and scalable systems designed for high-traffic, compliance-driven, and mission-critical environments. The collaboration is fast and clear, with our team fully remote and aligned with the client's time zone and workflows - ensuring seamless execution without hand-offs, junior layers, or outsourcing.

We support companies operating in three primary verticals. In Telecommunication industry, we work with complex funnels, multi-channel journeys, and consent-driven measurement at scale. In Fintech and Financial Services, we deliver compliant data architectures, identity resolution, and robust event pipelines that support risk-sensitive decision-making. For eCommerce and Digital Retail, we unify product analytics, marketing attribution, and transactional data to reveal a complete view of customer behavior and performance.

Across all these industries, our focus remains the same: building analytics systems that teams can trust - and that stand the test of scale, complexity, and time.

Frequently Asked Questions

Everything you need to know about our analytics engineering services

What is analytics engineering and how is it different from traditional data engineering?
Analytics engineering focuses on building the entire data ecosystem from event collection to actionable insights. While traditional data engineering focuses on infrastructure and pipelines, analytics engineering bridges the gap between raw data and business outcomes - covering event tracking, CDP implementation, warehouse modeling, data quality, and BI delivery. We ensure data is accurate, governed, and ready for decision-making across marketing, product, and executive teams.
What industries do you specialize in?
We primarily work with telecom and fintech companies that operate at scale - processing millions of events daily, managing complex customer journeys, and requiring enterprise-grade data governance. Our solutions are built to handle high-volume, regulated environments where data accuracy and reliability are non-negotiable.
How long does a typical CDP implementation take?
A full-scale CDP implementation typically takes 8-16 weeks, depending on complexity. This includes event taxonomy design, tracking implementation, CDP configuration (Sources, Destinations, Protocols), warehouse modeling, QA automation, and team enablement. We work in phases to deliver incremental value - often getting your first clean data flowing within the first 3-4 weeks.
Do you work with existing data teams or replace them?
We complement and enable existing teams. Our goal is to build scalable analytics foundations that your team can own and operate long-term. We work alongside your data, marketing, product, and engineering teams - providing hands-on implementation, documentation, training, and ongoing advisory to ensure sustainability.
What tools and platforms do you work with?
We're platform-agnostic but have deep expertise in: Segment CDP, mParticle, Snowflake, BigQuery, Redshift, dbt, GA4, Adobe Analytics, GTM (web + server-side), Salesforce, Looker, Power BI, Tableau, and more. We choose the right stack for your needs - balancing cost, scalability, and team capabilities.
How do you ensure data quality and accuracy?
We implement automated QA at every layer: event validation (Protocols, schema enforcement), pipeline monitoring (dbt tests, anomaly detection), and reconciliation dashboards. We also establish clear data governance processes, documentation, and ownership to prevent drift over time. Our clients typically see 40%+ reduction in data inconsistencies within the first quarter.
Can you help with GDPR and consent management?
Yes. We design consent-compliant measurement architectures - integrating consent management platforms (OneTrust, Cookiebot, etc.) with your tracking stack, ensuring proper user consent signals flow through your entire data ecosystem. We help you stay compliant while maintaining measurement accuracy.
What does a typical engagement look like?
Most engagements start with a discovery call to understand your current state, pain points, and goals. We then scope a project (implementation, migration, or advisory), define deliverables and timelines, and work in iterative phases. We provide hands-on execution, regular check-ins, documentation, and team training. Engagements range from focused 4-6 week sprints to multi-month transformations.
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