Signal Before Scale
Build the Infrastructure Growth Depends On
Growth decisions break down when teams can’t trust their data. Dashboards conflict, attribution is unclear, and prioritization is driven by instinct instead of evidence.
Growth Foundations Build designs and implements the analytics and measurement infrastructure that makes growth decisions trustworthy. We build the signal layer analytics architecture, event tracking, attribution, and reporting that turns fragmented data into clear, actionable insight.
The result is a foundation where teams can see what’s happening, understand why it’s happening, and confidently decide what to do next.
The Missing Piece
We Fill The Gap
Many teams attempt to optimize before they can see clearly. Analytics are incomplete, event tracking is inconsistent, and reports disagree across tools and teams. Without a reliable signal layer, experimentation produces noise, automation amplifies inefficiency, and growth stalls.
Measurement architecture & analytics design
We design analytics systems aligned to your funnel, product, revenue model, and operating goals so data supports decisions, not debates.
Event tracking & lifecycle instrumentation
We implement clean, consistent event tracking across acquisition, activation, conversion, retention, and expansion.
Attribution for prioritization
We build attribution models that reflect your business reality, so teams know what actually drives outcomes and where to focus.
Reporting tied to action
Dashboards and reports are built around decisions, not vanity metrics—giving leaders clarity on what to do next.
Foundation for downstream growth
Everything is designed to support experimentation, automation, and unit-economics optimization that follows.
Measurement architecture & analytics design
We design analytics systems aligned to your funnel, product, revenue model, and operating goals so data supports decisions, not debates.
Event tracking & lifecycle instrumentation
We implement clean, consistent event tracking across acquisition, activation, conversion, retention, and expansion.
Attribution for prioritization
We build attribution models that reflect your business reality, so teams know what actually drives outcomes and where to focus.
Reporting tied to action
Dashboards and reports are built around decisions, not vanity metrics—giving leaders clarity on what to do next.
Foundation for downstream growth
Everything is designed to support experimentation, automation, and unit-economics optimization that follows.
Built for scale
Why Choose Mxdify for Growth Foundations Build
Instrumentation-First Approach
Every engagement starts with measurement foundations. We don’t experiment or automate on top of unreliable data.
System-Level Thinking
We design the signal layer as part of a broader growth system—connecting analytics, experimentation, and automation into a closed loop.
Technical Execution, Not Just Advice
Our team spans analytics, data engineering, experimentation, and CRO. We build the system—not just recommend tools.
Integration Without Disruption
We work with your existing stack: GA4, Segment, HubSpot, Salesforce, Mixpanel, Amplitude, Looker, Zapier, OpenAI, and more. No platform overhaul required.
Built for Real Decisions
Everything we implement ties back to prioritization, experimentation confidence, and unit economics, not reporting for reporting’s sake.
Frequently Asked Questions
No. This is about building the signal layer your growth system depends on—not simply installing tools or dashboards.
Yes. We integrate with your current tools whenever possible and recommend changes only when necessary.
Most engagements run 4–8 weeks, depending on funnel complexity, product surface area, and data maturity.
Strongly recommended. Reliable measurement is what makes experimentation statistically valid and automation effective.
Teams gain clarity, faster prioritization, higher confidence in experiments, reduced wasted effort, and a durable foundation for compounding growth.
Yes. We document the system and ensure your team understands how to interpret and act on the data.