Based in Toronto · Working across North America
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Founder & Lead Analytics Architect
Founder of Analytico and lead analytics architect focused on trustworthy measurement, clean implementation, and decision-grade analytics across marketing, product, and leadership teams.
Expertise
Nishan leads Analytico’s measurement architecture, analytics strategy, and client advisory work across Track, Analyze, and Optimize engagements. His work spans GA4, Google Tag Manager, server-side tagging, BigQuery, attribution design, experimentation strategy, and executive-facing analytics interpretation.
He works at the intersection of growth, product, and engineering—helping teams move from fragile tracking and reporting confusion to a version of reality leadership can actually trust. That includes designing event schemas, diagnosing attribution problems, guiding implementation quality, and translating analytics into decisions around spend, funnel improvement, and experimentation.
Nishan is equally comfortable in technical implementation reviews, measurement strategy sessions, and leadership conversations where the real question is not “what does GA4 say?” but “what should we do next based on the signal we trust?”
Articles
12 articles
May 2, 2026
The era of manual media buying is over, replaced by AI Control Planes. But for many enterprises, a "Signal Gap" is stalling performance. Discover why you need a Measurement Architect—not just a media buyer—to bridge the gap between your CRM and the AI engine.
Apr 25, 2026
There's a structural change coming to Google's advertising data architecture that most performance marketers haven't fully processed yet. Starting June 15, 2026, Google is demoting Google Signals — stripping it of its authority to govern cross-device ad data collection in Google Ads. Control is transferring entirely to Consent Mode. If your site isn't explicitly passing ad_storage: 'granted' and ad_personalization: 'granted' signals through a properly configured CMP, your remarketing audiences will bleed out and your Smart Bidding campaigns will fly blind. Here's exactly what's changing, why sites without a cookie banner are most at risk, and the step-by-step implementation plan to get compliant before the deadline.
Mar 26, 2026
As third-party cookies vanish, relying solely on browser tracking means losing up to 30% of your conversion data. But simply moving to the server isn't enough. In this guide, we break down the "Context Gap"—the hidden flaw in most server-side setups that breaks attribution and doubles revenue counts. We provide a technical blueprint for a "Gold Standard" architecture that bridges client-side identifiers with server-side reliability, ensuring your "North Star" purchase metrics are accurate, deduplicated, and privacy-compliant.
Dec 16, 2024
Data tracking is the backbone of effective analytics, but are you using the right method to ensure precision, privacy, and compliance? As businesses face strict privacy regulations and growing concerns about data accuracy, the debate over server-side vs. client-side tracking is intensifying. The critical question for your organization is: Which data collection method best aligns
Nov 17, 2023
Meta Conversions API (CAPI) is A Powerful tool that allows you to send important data from your website directly to Meta. This helps you to track, measure and optimize your ad campaigns more effectively.
Oct 5, 2023
Like any other industry; the healthcare industry relies on marketing to promote its services and engage patients.
Sep 9, 2025
Your Looker Studio dashboard appears flawless. The scorecards are meticulously aligned, the color palette is on-brand, and every chart loads without a visible error. But what if the numbers themselves—the very insights you depend on for critical business decisions—are fundamentally incorrect? The most pernicious errors in data visualization are not those that break a dashboard;
Jun 20, 2024
In 2026, the best analytics platform isn't the one with the prettiest charts; it's the one that effectively recovers your lost signals. We break down the move to Adobe Customer Journey Analytics (CJA), GA4’s new predictive modeling, and why server-side tagging is no longer optional.
Aug 16, 2023
Tracking user interactions to gain meaningful insights and make data-driven decisions was heavily reliant on browser cookies just a few years ago. However, a significant shift driven by increased user awareness, growing privacy concerns, and evolving data protection regulations has reshaped the digital landscape.
Oct 12, 2022
Google Analytics 4 has introduced many changes, and it can be a challenge to adapt to them. One major change is in the GA4 data model. The GA4 data model is event-based, which means that every interaction or ‘hit’ is an event. This data model enables more flexibility to tracking your events.
Sep 12, 2022
Aug 4, 2022
Understanding Analytics and Reports
