// learn·Learn how we build →

// learn

Performance Marketing Practicum — 3-month applied program

12 weekly Thursdays. Real accounts. End-to-end performance marketing mastery applied to your own work.

12 seats left · starts Thu, Sep 3, 2026

₹3,500 holds your seat. Balance charged 5 days before Week 1. See pricing section for full price.

Meet your instructor

// instructor

Yash Kumar

Yash Kumar

Performance marketer, builder, co-founder of an edtech startup

IIT Bombay (B.Tech) · ISB (MBA) · ex-Ola

AI is rewriting what a senior marketer does. The high-leverage work isn't running campaigns anymore — it's building the systems that run them. That's the lane I've been operating in for the last few years, and it's what this cohort teaches.
  • 10+ years scaling paid and organic across enterprise and D2C
  • COO at GenY Medium where I scaled the agency to $3M+ in annual revenue, working with brands like Mercedes, Bajaj, Welspun, Aparna Constructions
  • Co-founder of Bibli, AI English tutor for kids — 20K users, 1.5K paid, incubated by Teach for India and NSRCEL
  • Built most of Bibli alone using no-code + Claude Code — the same workflow you'll learn in the cohort

// about the program

About the Practicum

Program
Performance Marketing Practicum — 3-month applied program
Format
12 weekly live sessions · 90 min each · 30 min reserved every week to work on your own ad accounts and campaigns
Dates
Sep 3 – Nov 19, 2026 · 12 Thursdays · 3:00 PM IST
Pricing
₹3,500 token + ₹28,500 balance (early-bird) — final regular price TBC by Yash · ₹3,500 token + ₹36,500 balance — final regular price TBC by Yash

// who this is for

Built for marketers, consultants, and founders who want to master performance marketing end-to-end and apply it to their own real work — week by week.

In-house marketers running Meta + Google Ads
Founders managing their own paid acquisition
Consultants who audit or run client accounts
Marketing operators upgrading to AI-native workflows

// pre-requisites

  • Working knowledge of Meta Ads Manager and Google Ads UI
  • An active ad account (your own or a client's) you can work on weekly
  • Laptop + willingness to install Claude Code Week 1 (we walk through it together)

// curriculum

4 Saturdays, 4 working automations

Session 1Thu, 03 Sept, 2026

Setup — your performance marketing AI workspace

Establish the toolkit you'll use for audits, analysis, and reporting throughout the 12 weeks: Claude Code + Meta MCP + Google Ads MCP, connected to your real accounts. End of session: working workspace + first audit run on your live account.

Session 2Thu, 10 Sept, 2026

Meta — Campaign architecture + conversion signals

Campaign hierarchy (CBO vs ABO), funnel stages, picking the right conversion event for Meta's algorithm, CAPI signal quality.

Session 3Thu, 17 Sept, 2026

Meta — Audience strategy + retargeting

Advantage+ audiences, lookalikes, custom audiences, CRM audience sync, retargeting funnel design.

Session 4Thu, 24 Sept, 2026

Meta — Creative fatigue management

Frequency thresholds, refresh cadences, Refresh vs Retire decision tree (calibrated framework from VaanarStack memory: Immature → Healthy → Monitor → Decide → Refresh/Retire).

Session 5Thu, 01 Oct, 2026

Meta — Instant forms + lead-gen

Lead form optimization, instant-form vs landing-page trade-offs, lead-quality scoring with CRM signals, follow-up automation.

Session 6Thu, 08 Oct, 2026

Google — Landing pages, CRO + Quality Score

Page experience signals, ad relevance, landing-page audit for QS improvements, CRO patterns that lift Search QS.

Session 7Thu, 15 Oct, 2026

Google — Search analysis + intent

Keyword strategy, search-term cleanup, match-type discipline, negative-keyword playbook, intent classification.

Session 8Thu, 22 Oct, 2026

Google — Performance Max + auto formats

P-MAX best practices, asset groups, signal sharing, when to use P-MAX vs Search vs Display vs YouTube.

Session 9Thu, 29 Oct, 2026

Google — Conversion measurement + attribution

Conversion tracking depth — enhanced conversions, server-side conversions, attribution modeling. GAQL for custom analysis. Tighten how you measure paid performance end-to-end.

Session 10Thu, 05 Nov, 2026

SEO fundamentals + technical

Search Console essentials, technical SEO checklist, content patterns that compound, AI-assisted topic-cluster planning.

Session 11Thu, 12 Nov, 2026

Google Analytics (GA4)

GA4 events + parameters, conversion setup, useful Looker Studio dashboards, AI-assisted analysis with the GA4 MCP.

Session 12Thu, 19 Nov, 2026

Capstone — portfolio review

Each participant presents an audit run on their own work (own ad accounts / own clients / own landing pages). Group critique + final fixes.

// outcomes

What you'll walk away with

  • Working AI audit workspace — Claude Code + Meta MCP + Google Ads MCP connected to your real accounts by Week 1.
  • Real campaigns, real fixes — Diagnose and ship fixes across Meta + Google on your own ad accounts over 12 weeks.
  • Audit portfolio — 3–4 finished audit deliverables you can show clients or use internally.
  • Repeatable practice — Confidence to run AI-powered marketing audits as a weekly habit, not a one-off.

// format

How it runs

  • 12 weekly sessions · Thursdays 3:00 PM IST · 90 min live + Q&A
  • Bring your own problem statement — 30 min every session reserved for live work on your own accounts / clients
  • Covers the full performance marketing spectrum: Meta, Google, SEO, GA4, measurement, plus AI-assisted workflows
  • Capstone: portfolio of 3–4 deliverables on your own work — campaign rebuilds, audits, or growth experiments

// pricing & seats

Pricing & seat-booking

Early-bird
₹3,500 token + ₹28,500 balance (early-bird) — final regular price TBC by Yash
Regular
₹3,500 token + ₹36,500 balance — final regular price TBC by Yash
Seat token
₹3,500 (non-refundable) — holds your seat
Refund policy
Token is non-refundable. Balance: 50% refund if cancelled more than 5 days before Week 1; no refund within 5 days.

// faq

Frequently asked

// next step

Master performance marketing — applied to your own work

Upcoming Webinar
VaanarStack