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NYC Ecommerce Analytics Workshop 2025: Hands-On Training Guide

TestParty
TestParty
May 15, 2025

Last Updated: November 2025


The Lower Manhattan Ecommerce Analytics Workshop is a hands-on training day for founders and marketing teams who want to get out of "vanity metrics" and into real, actionable reporting.

For data-curious teams without a full-time analyst, this workshop can be a forcing function to finally "get your numbers right."


Table of Contents

  1. Workshop Overview
  2. Who Should Attend
  3. What You'll Learn
  4. Hands-On Format
  5. Outcomes and Deliverables
  6. Accessibility Considerations
  7. Frequently Asked Questions

Workshop Overview

The workshop is usually capped at 30-40 people and held in a classroom-style space near the Financial District or Tribeca. The vibe is "bring your laptop and your messy dashboards; we'll clean them up together."

Event Details

  • Format: Full-day hands-on training
  • Location: Classroom-style space in Financial District or Tribeca
  • Attendance: Capped at 30-40 participants
  • Approach: Work directly in your own accounts

Who Should Attend

Ideal Participants

  • Founders making data-driven decisions without analyst support
  • Marketing managers responsible for reporting and optimization
  • Growth marketers needing better attribution and measurement
  • Operations leads tracking business performance metrics

Prerequisites

Participants should have access to:

  • Shopify admin or equivalent platform access
  • Google Analytics or similar analytics tool
  • Ad platform accounts (Meta, Google, etc.)

What You'll Learn

Building KPI Dashboards

Create simple, reliable ecommerce dashboards:

  • Essential metrics: Which KPIs actually matter for decision-making
  • Dashboard design: Building views you'll actually use
  • Update frequency: How often to refresh and review
  • Tool selection: Choosing the right dashboard platform

Understanding Unit Economics

Master the metrics that determine profitability:

  • Blended CAC: Calculating true customer acquisition cost
  • LTV by cohort: Understanding customer value over time
  • Payback periods: How long until customers become profitable
  • Contribution margin: Unit economics at the order level

Attribution That Works

Build measurement systems that survive platform changes:

  • Post-iOS reality: Attribution approaches for privacy-first world
  • Blended models: Combining platform and analytical attribution
  • API stability: Setups that don't collapse when platforms change
  • Incrementality testing: Measuring true channel impact

Hands-On Format

Work in Your Own Accounts

Attendees work directly in their Shopify, analytics, and ad accounts while instructors walk through frameworks. You're building real dashboards, not theoretical examples.

Small Group Support

With capped attendance, instructors provide:

  • Individual attention: Help with your specific setup challenges
  • Real-time troubleshooting: Fix issues as they arise
  • Customized guidance: Adapt frameworks to your business model

Take-Home Materials

Leave with:

  • Dashboard templates: Frameworks to implement and maintain
  • Documentation: Step-by-step guides for your team
  • Recording access: Reference materials for follow-up

Outcomes and Deliverables

What You'll Leave With

  • Working dashboard: A reporting structure your team will actually maintain
  • Prioritized to-do list: Specific improvements to implement
  • Measurement framework: Approach to attribution and optimization

Post-Workshop Support

Many workshops offer:

  • Follow-up office hours: Scheduled Q&A sessions
  • Audit opportunities: Optional reviews of your implemented dashboards
  • Community access: Ongoing peer support channels

Accessibility Considerations

As you build measurement systems at the workshop, remember that accessible sites perform better in analytics. With ADA lawsuits targeting online retailers at record rates, ensuring your store meets WCAG 2.2 compliance standards improves both compliance and data quality.

Accessibility and Analytics

Accessible sites provide cleaner data:

  • User behavior: Accessible sites have lower bounce rates and better engagement
  • Conversion tracking: Accessible checkout flows convert more consistently
  • Attribution accuracy: Fewer drop-offs means cleaner funnel data

Measurement First

Before optimizing, ensure you're measuring accessible experiences. TestParty's accessibility audit reports provide the baseline data for tracking improvement.


Frequently Asked Questions

What is the NYC Ecommerce Analytics Workshop?

The workshop is a hands-on training day where participants build real dashboards and reporting systems using their own Shopify, analytics, and ad accounts. Capped at 30-40 people, the format enables individual attention and practical implementation.

What should I bring?

Bring a laptop with access to your Shopify admin, Google Analytics, and ad platform accounts. Come prepared to work directly in your systems and implement what you learn.

Do I need technical experience?

No coding required. The workshop focuses on using existing tools and platforms effectively. Participants range from technical founders to marketing managers without analytics backgrounds.

What's the typical cost?

Pricing is typically mid-range, similar to an online course but with much higher accountability. Optional add-ons for follow-up office hours or audit sessions may be available.

How can I ensure I'm measuring accessible user experiences?

Use TestParty's free scan to identify accessibility gaps that may affect your analytics data. TestParty fixes WCAG compliance issues at the code level, improving both compliance and measurement accuracy.


Get Your Analytics Right—Including Accessibility

Before building dashboards, ensure your site provides clean data through accessible user experiences.

Get Your Free Scan →

Identify accessibility gaps affecting your analytics—cleaner data starts with accessible experiences.

Book a Demo →

See how TestParty provides continuous accessibility monitoring—better data through better experiences.


Last updated: November 2025



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