KAK

Kill Your CAC

Enterprise-Grade Intent-Based Audience Optimization for D2C Brands

30%
Ad Spend Wasted
on Low-Intent Visitors
₹10L+
Average Monthly
Burn for D2C Brands
3x
ROAS Improvement
Potential

Strategic Overview | Q1 2026

1

Executive Summary

The $50B Problem: D2C Brands Are Bleeding Money on Meta Ads

KAK is an intent-based audience optimization platform that tracks visitor behavior, scores purchase intent, and syncs smart segments to Meta—reducing wasted ad spend by 20-40% while improving ROAS by 2-4x.

68%

Visitors Never Return

Most first-time visitors bounce and never come back—yet brands retarget all of them equally.

₹3L/mo

Wasted on Cold Traffic

Average D2C brand with ₹10L spend burns ₹3L+ retargeting visitors who will never buy.

25%↑

ROAS Improvement

By excluding low-intent and focusing on high-intent, brands see immediate efficiency gains.

K · A · K

Know your visitors → Act on intent → Kill your CAC

2

Situation Analysis

Meta's Pixel Treats All Visitors Equally—That's Expensive

❌ Current State: Spray & Pray

1
Blind Retargeting

All visitors get the same retargeting, regardless of intent signals

2
Cookie Dependence

iOS 14.5+ and cookie deprecation killed tracking accuracy

3
No Behavioral Scoring

Can't differentiate between window shoppers and serious buyers

4
Rising CPMs

Competition drives costs up while efficiency stays flat

✓ With KAK: Precision Targeting

1
Intent-Based Audiences

Score every visitor 0-100, segment into actionable tiers

2
First-Party Cookieless

Privacy-compliant tracking that works post-iOS 14.5

3
Smart Exclusions

Stop wasting money on visitors who will never convert

4
Automated Meta Sync

Custom Audiences updated automatically, no manual work

Typical Visitor Distribution by Intent
🧊 Ice Cold
45%
EXCLUDE
❄️ Cold
25%
Low bid
💛 Warm
18%
Nurture
🔥 Hot
12%
MAX BID
3

Solution Overview

From Anonymous Visitor to Smart Audience in 4 Steps

📍
Track

Lightweight JS tracker captures behavioral signals

🧮
Score

Intent engine calculates 0-100 purchase probability

📊
Segment

Automatic tier assignment: Hot, Warm, Cold, Ice

🔄
Sync

Push to Meta Custom Audiences via API

🎯
Target

Run precision campaigns with smart exclusions

Data Collection
KAK Tracker (16KB)

Page views, scroll depth, time on site, clicks

E-commerce Events

Product views, add to cart, checkout, purchase

Identity Signals

Email capture, phone, UTM parameters

Intent Engine
Behavioral Scoring

20+ signals weighted by conversion correlation

Recency Decay

Recent activity weighted higher

RFM Analysis

Recency, Frequency, Monetary scoring

Audience Sync
Meta Custom Audiences

6 pre-configured audience strategies

Lookalike Seeds

Best customers for prospecting

Exclusion Lists

Auto-exclude converters + ice cold

4

Core Technology

Behavioral Intent Scoring: From Signals to Segments

Signal Points Rationale
Started Checkout +25 Highest intent signal
Added to Cart +20 Strong purchase intent
Email Captured +15 Identity + engagement
Phone Captured +10 High-value identity
Multiple Visits +10 Return interest
Product Views (3+) +10 Browsing depth
Recent Visit (<7d) +10 Recency matters
Time on Site (>3m) +5 Engagement depth
Bounced (<10s) -15 Zero intent signal
No Return (>30d) -10 Intent decay
🔥 HOT
70-100
Max bid retargeting
💚 BUYER
Converted
Lookalike seed
💛 WARM
40-69
Nurture campaigns, mid-bid
❄️ COLD
20-39
Low bid, content-first
🧊 ICE
<20
⛔ ALWAYS EXCLUDE
5

Campaign Architecture

6 Strategic Audiences for Maximum ROAS

Audience Criteria Strategy Expected ROAS Budget %
🔥 High Intent Retarget Score ≥70, no purchase Aggressive conversion campaigns 4-8x 40%
🛒 Cart Abandoners Added to cart, no purchase Cart reminder + urgency 5-10x Incl. above
💳 Checkout Abandoners Started checkout, no purchase Highest priority, incentives OK 6-12x Incl. above
💛 Warm Intent Score 40-69 Nurture with content + light offers 2-4x 20%
👥 Best Customers Seed Purchased, high LTV Lookalike for prospecting 1.5-3x 30%
⛔ Low Intent EXCLUDE Score <20, bounced ALWAYS EXCLUDE from all campaigns Saves 20-40% of wasted spend
₹10L
Monthly Ad Spend
×
30%
Wasted on Ice Cold
=
₹3L
Saved Per Month
6

Enterprise Security

Built for Compliance from Day One

Privacy isn't a feature—it's the foundation. KAK is designed for DPDP Act (India), GDPR (EU), and CCPA (US) compliance with enterprise-grade security.

🔐 Data Protection

  • ✓ Field-level encryption (AES-256)
  • ✓ Data residency controls
  • ✓ Automatic PII hashing for Meta
  • ✓ TLS 1.3 in transit

📋 Consent Management

  • ✓ Granular consent tracking
  • ✓ Audit trail for all consent events
  • ✓ One-click DSR (export/delete)
  • ✓ Consent withdrawal honored

👶 Children's Data

  • ✓ Age-gating detection
  • ✓ Auto-disable profiling for minors
  • ✓ Excluded from all Meta sync
  • ✓ COPPA compliance ready
SOC 2
Type II Ready
Month 6-12
GDPR
Compliant
Day 1
DPDP
India Ready
Day 1
RLS
Multi-Tenant
PostgreSQL
7

Market Analysis

₹50,000 Cr+ Annual D2C Ad Spend in India Alone

₹50K Cr Annual Spend
40% Fashion & Apparel
25% Beauty & Personal Care
20% Electronics & Home
15% Food, Baby & Others

Total Addressable Market (TAM)

$6.2B

Global D2C ad optimization market by 2027

Serviceable Market (SAM)

$850M

India + SEA D2C brands on Shopify/custom platforms

Initial Target (SOM)

$25M

500 brands × ₹50K/month average spend on KAK

If just 10% of wasted ad spend (₹5,000 Cr) could be recovered, the value created is ₹500 Cr annually—and we capture 10-20% of that as subscription revenue.

8

Business Model

SaaS Pricing Tied to Ad Spend & Value Created

Starter

For growing D2C brands

₹15K/month
  • Up to ₹5L monthly ad spend
  • 3 Meta Custom Audiences
  • Basic intent scoring
  • Email support
  • 1 Shopify store

Enterprise

For large portfolios

Custom
  • Unlimited ad spend
  • Unlimited audiences
  • White-label option
  • Dedicated CSM
  • SSO/SAML, SOC 2 report
  • On-prem deployment option

💰 Revenue Model

80% recurring SaaS subscriptions
20% setup + professional services

📈 Unit Economics

LTV: ₹8-12L (24-month avg)
CAC: ₹40-60K
LTV:CAC: 15-20x

🎯 Expansion Revenue

Net Revenue Retention 120%+ as brands scale ad spend and add stores

9

Competitive Analysis

Purpose-Built for Intent, Not Another Analytics Tool

Capability KAK Meta Pixel Segment Triple Whale Northbeam
Intent Scoring ✓ Core Feature ~ DIY Required
Smart Exclusions ✓ Automated ~ Manual
Meta Audience Sync ✓ Native ~ Limited
Cookieless First-Party ✓ Built-in ✗ Cookie-based
India Privacy (DPDP) ✓ Day 1 ~ Partial ~ US Focus ~ US Focus ~ US Focus
Price (₹10L spend) ₹40K/mo Free ₹1-2L/mo ₹50K/mo ₹80K/mo

Our moat: We're the only solution that combines behavioral intent scoring + automated Meta sync + smart exclusions + India-first compliance. Others do parts—we do the whole job.

10

Initial Traction

Pilot: Kidswear Brand (₹3L/month Ad Spend)

₹3L
Monthly Meta Spend
~45%
Ice Cold Visitors
Being Retargeted
₹1.35L
Potential Monthly Savings
With Exclusions
2.4x→4x
Target ROAS Lift
+67% Expected

Before KAK

Retargeting all website visitors equally
No visibility into visitor intent
Manual audience creation monthly
ROAS: 2.4x (struggling to break even)

After KAK (Expected Week 4)

Precision targeting by intent tier
Real-time intent scores for every visitor
Automated daily Meta sync
Target ROAS: 4x+ (profitable growth)
1
Week 1

Tracker installed, data collection begins

2
Week 2

Intent scoring calibrated, audiences created

3
Week 3

Meta sync active, campaigns restructured

4
Week 4

First results: ROAS improvement measured

11

Product Roadmap

From MVP to Enterprise Platform in 12 Months

Q1
Foundation

MVP launch, 10 pilot customers, core tracking + scoring

Q2
Scale

Self-serve onboarding, Shopify app, 50 customers

Q3
Intelligence

ML scoring, predictive LTV, Google Ads sync

Q4
Enterprise

SOC 2, SSO, white-label, agency partnerships

🚀 Near-Term (Q1-Q2)

Shopify App Store — One-click install, instant setup

Real-time Dashboard — Live intent distribution, audience health

Automated Insights — "Your cart abandoners spiked 30% today"

A/B Audience Testing — Compare segment performance

🔮 Long-Term (Q3-Q4)

Predictive LTV — Score visitors by future value

Multi-Channel Sync — Google, TikTok, Pinterest

Agency Console — Manage multiple brands

AI Campaign Suggestions — "Move ₹50K from prospecting to retargeting"

12

Team

Built by Performance Marketers, for Performance Marketers

👤

Founder / CEO

D2C performance marketing background
Managed ₹Cr+ in Meta ad spend

👤

Co-Founder / CTO

Full-stack engineering
Previously built AdTech at scale

👤

Advisor

Ex-Meta, audience products
Deep platform expertise

We've felt this pain firsthand. We've burned money on ice-cold audiences. We've manually exported CSVs to create Custom Audiences. We're building the tool we wished existed.

13

The Opportunity

Join Us in Killing CAC for D2C Brands

What We're Building

  • ✓ Intent-based audience optimization
  • ✓ Automated Meta Custom Audience sync
  • ✓ Privacy-first, India-compliant
  • ✓ Enterprise-grade from day one

Milestones (Next 12 Months)

  • Pilot Customers 10 → 100
  • ARR Target ₹1.5 Cr
  • Ad Spend Managed ₹50 Cr+
  • ROAS Delivered 4x+ avg

Let's Kill CAC Together

Every day, D2C brands waste ₹Crores retargeting visitors who will never buy.
KAK turns behavioral data into revenue.

Schedule Deep Dive →
14

Appendix

Technical Architecture

DATA COLLECTION KAK Tracker (16KB) Shopify Webhooks Server-Side Events Identity Resolution Consent Manager INTENT ENGINE Event Processing Behavioral Scoring RFM Analysis Segment Assignment ML Models (Future) AUDIENCE SYNC Meta API PII Hashing Audience Builder Schedule Sync META Custom Audiences 🔥 High Intent 💛 Warm ❄️ Cold 🧊 Exclude 👥 Lookalike 🛒 Abandoners

Frontend

Next.js 14
React Query
Tailwind CSS

Backend

Node.js
Express
PostgreSQL

Infrastructure

Docker
Railway/Vercel
Redis (cache)

Security

RLS Multi-tenant
AES-256 Encryption
SOC 2 Ready

15

KAK

Know · Act · Kill

Ready to kill your CAC?

📧 hello@kak.io
🌐 kak.io
📍 Built in India 🇮🇳

Confidential | Two Atom | Q1 2026

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