Analytico

How We Work · Engagement Models

Engagement Models designed for serious growth teams, not one-off tag fixes.

Analytico is a specialist analytics and tracking team. We plug into your stack where it matters most: Track, Analyze, and Optimize. Every engagement is built around clean data, fast decisions, and measurable impact.

  • No generic retainers. Clear models for where you are today.
  • Senior analytics engineers and strategists on every project.
  • Engagements scoped around outcomes, not hours.

Built for teams who can't afford fuzzy numbers: growth, product, performance, and leadership.

Snapshot · Three Ways to Work With Us

Projects

Fixed-scope audits, rebuilds, migrations, and implementations.

FlexBlocks

Pre-purchased hours for ongoing fixes, QA, and enhancements.

Fractional Team

Embedded analytics function: strategy, engineering, and reporting.

Who we're right for

Teams managing meaningful spend or product growth who need analytics as infrastructure, not a side project.

How we start

A 30–45 minute diagnostic to understand your stack, debt, and goals.

Delivery Philosophy

Analytics as infrastructure, not "GTM support".

Most teams don't fail because they lack dashboards. They fail because their tracking is fragile, ownership is unclear, and nobody trusts the numbers. Our work is designed to fix that permanently.

Outcome over output

We scope around decisions and business impact, not a checklist of tags and reports.

Senior-first delivery

No handing work to offshore juniors without context. You work directly with the people doing the work.

Track → Analyze → Optimize

Every engagement respects the full lifecycle—from instrumentation to insight to action.

Engagement Models

Three ways to work with Analytico.

Different teams are at different stages: some need a clean rebuild, some need ongoing support, and some need an embedded function. Our engagement models are built to meet you where you are.

Best for audits, rebuilds & migrations

Project-Based Engagements (SOW)

Fixed-scope projects where the outcome is clear: a rebuilt GA4 stack, a working sGTM setup, a reliable attribution layer.

Ideal for

  • GA4 or GTM rebuilds after rushed migrations.
  • Server-side tagging implementations for Meta, Google, or other platforms.
  • Shopify / Stripe / HubSpot tracking fixes.
  • Consent / privacy compliance projects tied to measurement.

How it works

  • Flat-fee or milestone-based SOW.
  • Clear deliverables, owners, and acceptance criteria.
  • Weekly or bi-weekly working sessions.
  • Handoff with documentation and training as required.

Typically 4–10 weeks, depending on complexity.

Best for ongoing fixes & enhancements

FlexBlocks (On-Demand Expertise)

Pre-purchased blocks of time you can deploy flexibly across analytics engineering, QA, dashboards, and measurement strategy.

Ideal for

  • Teams with an existing setup that keeps breaking or drifting.
  • Ongoing product or campaign launches that need measurement support.
  • Organizations without a full-time analytics engineer.
  • Teams wanting a safety net for GTM, GA4, and sGTM changes.

How it works

  • Blocks of hours (e.g. 20–120 hours) consumed over an agreed period.
  • Shared backlog in your project tool or ours.
  • Slack or Teams access for quick questions.
  • Monthly usage and impact summary.

Rolling 1–3 month cycles, with the option to scale up or down.

Best for high-growth, multi-channel teams

Fractional Analytics Team

An embedded analytics function covering strategy, engineering, reporting, and experimentation across Track, Analyze, and Optimize.

Ideal for

  • Teams managing meaningful media spend who need a reliable attribution backbone.
  • Product-led growth companies needing end-to-end funnel visibility.
  • Organizations rolling out multiple tools (GA4, sGTM, Shopify, HubSpot, BigQuery, BI).
  • Leaders who want analytics as a core capability, without building a full in-house team yet.

How it works

  • Core pod (e.g. analytics engineer + analyst/strategist).
  • Weekly standups and monthly executive reviews.
  • Roadmap-driven: measurement backlog, not random requests.
  • Proactive monitoring, QA, and improvement recommendations.

Minimum 3 months, typically 6–12 months for full impact.

Choosing the Right Fit

When to choose Projects vs FlexBlocks vs Fractional.

If you're not sure where you fit, this is the decision frame we use in diagnostic calls.

ScenarioProjectsFlexBlocksFractional Team
You have a clear, defined outcome (e.g. "Rebuild GA4").Perfect fit.Possible, but less efficient.Only if it's part of a wider mandate.
You keep running into measurement issues month after month.Good as an initial reset.Great for continuous fixes and QA.Best if issues span multiple teams and systems.
You want analytics to be a core capability, not a one-off project.Not ideal.Helpful, but part-time.Exactly what Fractional is for.
You're not ready to hire full-time, but need senior brains.Works for a single outcome.Good if needs are sporadic.Best if you want continuity and leadership.

We'll help you choose the right model in the diagnostic—no pressure, no hard sell.

How We Start

A simple path from "we think it's broken" to "we know it's fixed".

We keep onboarding light but rigorous. The goal is to understand your reality quickly and pick the right engagement model without dragging you through endless discovery.

1. 30–45 minute diagnostic

We map your stack, current issues, and what “good” needs to look like in 3–12 months.

2. Access & risk scan

We review GA4, GTM, sGTM, platforms like Shopify/HubSpot, and high-level data flows.

3. Engagement recommendation

We propose a Project, FlexBlocks, or Fractional model (sometimes a mix) based on reality, not wishful thinking.

4. SOW & kickoff

We agree success criteria, timelines, owners, and communication rhythm. Then we start.

5. Delivery & validation

Work is shipped in increments, validated against your backend and team expectations.

6. Handoff or ongoing partnership

We either complete the project and hand off, or roll into FlexBlocks/Fractional for ongoing evolution.

Who We Work With

One analytics team, three core stakeholders.

We translate between marketing, product, and leadership so everyone sees the same reality—and pulls in the same direction.

For marketing & growth teams

You want to spend confidently, stop attribution debates, and know which channels and campaigns truly drive profit.

For product & UX teams

You need end-to-end funnels, experiment-ready tracking, and data that tells you where users struggle or churn.

For leadership & finance

You want numbers that line up across tools, markets, and reports—so decisions are based on signal, not noise.

Next step

Let’s find the right engagement model for your team.

In a 30–45 minute call, we’ll review your current stack, the problems you’re seeing, and what ‘fixed’ needs to look like—then recommend a model that fits.

  • Senior-led analytics & implementation support.
  • Focused on decision-ready, trustworthy data.

e.g. GA4 + GTM + Shopify + Meta + HubSpot

e.g. broken conversion tracking, conflicting numbers, unclear attribution…

Prefer email? Reach us at hello@analyticodigital.com.

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