SCALING
🔍 Case Study #005 // Growth Hacker – eCom Health & Wellness

From Zero to
$2.4M In 6 Months.

How Arsalan Faysal designed and deployed a comprehensive, full-stack DTC growth engine — optimizing paid ads, Shopify conversion funnels, and retention LTV pipelines simultaneously.

Analyze The Breakdown ↓
$2.4M
Gross Revenue Generated Across First 6 Months
4.7x
Blended Paid ad ROAS Meta, TikTok, and YouTube
+340%
LTV Margin Increase Driven by Automated Klaviyo Flows
The Painful Baseline

Huge Ambition, Zero Infrastructure

A wellness and nutrition venture was launching a premium dietary supplement line with massive institutional goals. However, on the eve of launching, they possessed zero functional direct-to-consumer (DTC) acquisition infrastructure.

They had no active pixel tracking layers, no high-converting landing pages, no onboarding email sequences, and no subscription-rebill engines. Their ad account structure was completely flat, meaning any initial traffic tests would result in non-attributed, blind capital waste.

The cost of this missing architecture? Extreme operational drag. They were burning cash on broad Facebook interest pools, converting trial sign-ups below 2.1%, and losing over 80% of buyers immediately after the first transaction.

The Client Mandate

"Build our DTC growth engine entirely from scratch. Optimize the entire journey from initial ad click to final subscription rebill, maximizing customer LTV with 100% attribution clarity."

The Programmatic Fix

I stepped in as their Fractional CMO and sole Growth Lead. We mapped out an integrated customer acquisition pipeline: high-velocity video ad creatives on Meta and TikTok, a custom single-page Shopify checkout funnel, and a highly segmented Klaviyo retention engine.

Pillars Installed
  • CapCut Visual Ad Disruption
  • One-Click Post-Purchase Upsell
  • Dynamic Klaviyo Replenishment
Section A // Forensic Dissection

Under the Microscope: Diagnosing Database Leakage & Pixel Drift

Our pre-campaign audit revealed severe diagnostic leaks. Because the client was running duplicate ad pixel cookies across both the high-ticket shop and the standard blogs, Google's smart bidding model was completely confused—routing enterprise B2B buyers to the low-margin single-unit pages and retail consumers to the bulk order forms.

2.1% First-Touch Conversion

Leads abandoned checkout due to high form friction.

$320 Customer Acquisition Cost

Inflated CPA driven by broad interest ad targets.

80% First-Order Attrition Rate

Users purchased once, then ghosted forever.

0% Server-Side Conversion Match

No CAPI setup led to blind ad budget waste.

Section B // Database Engineering

Designing a Normalized DTC Database & RFM Segment Model

Flat spreadsheets cannot scale complex B2B/DTC transaction volumes. I restructured their data architecture. Every customer checkout is mapped to custom database properties in Shopify and Klaviyo to automate RFM cohort grouping.

Custom Property Key Mapped Database Object Data Type Automation / Segment Logic
customer_rfm_cohort Customer (Profile) Dropdown Select Enforces segmentation tracks (Champions, Loyal, At-Risk)
active_subscription_status Subscription (Recharge/Stripe) Dropdown Select If state = CANCELLED → triggers win-back sequence
calculated_product_depletion_date Customer (Order History) Date Automates personalized replenishment reminders at Day T-14
first_touch_utm_campaign Customer (Attribution) Single Line Text Maps original Meta/TikTok ad sets to calculate LTV by creative
Section C // Copywriting Architecture

The Dynamic 21-Day Customer Retention & Replenishment Pipeline

DTC brands bleed capital by ignoring the post-purchase experience. We built a serverless Klaviyo consumption pipeline. Instead of generic newsletters, the system calculates precisely when a customer's supplement supply is running low, triggering a highly personalized re-order sequence.

Sequence Day 01 // The Unboxing • Clinical Backing "Welcome to the science of feeling great"

Sent immediately on delivery confirmation. Educational, plain-text email from the formulator explaining how to consume the supplement, validating their choice, and pre-empting typical safety concerns.

Sequence Day 14 // Cross-Sell and Routine Mapping "Maximize your daily routine"

Identifies their initial order segment and dynamically recommends complimentary products (e.g. daily multivitamins if they ordered sleep support), offering a direct single-click bundle upgrade.

Sequence Day 46 // Automated Replenishment Reminder "Don't break your progress"

Triggered exactly 14 days before their 60-day supply is projected to hit zero. Links directly to a pre-filled cart containing their specific SKU list with their pre-negotiated loyal customer discounts applied.

The Mathematical Consumption Model

T_{\text{replenish}} = T_{\text{last\_order}} + \left( \frac{\text{Quantity Purchased}}{\text{Average Daily Consumption Rate}} \right) - 14 \text{ Days}

Example: (60 Days Supply / 1.0 dose per day) - 14 Days = Day +46 Trigger Window
Section D // Ad Campaign Architecture

The Creative-First Meta & TikTok Video Funnel

Premium supplements cannot be sold with boring static images. We permanently retired flat product shots and engineered high-concept, CapCut-edited visual hooks designed to demonstrate clinical backing and disrupt user scrolling.

Pillar 01 // The Water Solubility Hook

A visual 5-second hook showing our supplement dissolving completely into water compared to a competitor's synthetic pill remaining solid, proving superior absorption and gut safety.

Hook CTR: +144% increase
Hook Hold Rate (3s): 42% (vs 11% industry average)
Channel Placement: TikTok and Instagram Reels
Pillar 02 // The Clean Ingredient Audit

A clinical, microscope-view hook showing a raw ingredient breakdown, calling out hidden fillers in mainstream competitors, accompanied by trusted lab-verification certificates.

Channel Placement: YouTube Pre-Roll and Meta Ads
Average CTR: 3.4%
SaaS attribution matching: 100% matched to closed orders
Section E // Conversion Rate Optimization

B2B/DTC Single-Page Checkout & One-Click Post-Purchase Upsells

Most WooCommerce/Shopify platforms are configured for complex multi-page browsing. But high-intent buyers demand transactional speed. We optimized their checkout, developing a single-page checkout flow and adding high-converting one-click post-purchase upsells that boosted AOV by 34%.

Pillar 01 // Single-Page Checkout Forms

We cut checkout fields from 14 down to a simple 4-field capture, integrating Apple Pay and Google Pay directly, dropping checkout abandonment rates to 18%.

BEFORE: 14 fields, 3 pages
AFTER: Name, Email, Address, Apple Pay (1 page)
Checkout abandonment rate: -54% drop
Pillar 02 // One-Click Post-Purchase Upsells

The moment a user clicks 'buy,' and *before* presenting the thank-you page, the system triggers a post-purchase popup offering a matching loyal supply bundle at a 40% discount—with zero need to re-enter credit cards.

Stripe Custom Payment Tokenization used
Post-purchase upsell attach rate: 28%
Average Order Value (AOV) Lift: +34% ($55 to $84)
Section F // Interactive Modeler

DTC Cohort LTV & Economics Simulator

Enter your average monthly ad spend and baseline repeat customer rate below to see how our Klaviyo retention and checkout CRO pipelines compound your 12-month cohort values.

Projected 12-Month Cohort LTV
$378,000
Estimated Blended ROAS: 4.7x

Based on our verified 340% LTV margin increase, 28% subscription attach rate, and automated Klaviyo sequences.

The 6-Month Sprint

Months 1-2

Foundation

Launched 30+ ad creatives. Tested 5 landing page variants. Found the winning "clinically backed" angle.

Months 3-4

Scale & Upsell

Scaled winning sets to $5k/day. Added post-purchase funnels. Launched subscription model.

Months 5-6

LTV Mastery

Built advanced Klaviyo flows. Added SMS. LTV margin increased 340% ($42 to $185).

Result

9-Figure Ready

Revenue hit $2.4M. Delivered the full growth playbook for internal team management.

★★★★★

“Arsalan owned the entire funnel: ads, landing pages, email, SMS, and unit economics. He thinks like a founder. Within 6 months, our new product line was doing $2.4M.”

— Tom (Founder, Health & Wellness eCom Venture)

Interactive Operations Hub

GTM System Pipeline Debugger

Toggle system modes below and select nodes on the pipeline map to run forensic diagnostics on GTM leakage points.

Diagnostics: System Leakage Point Selected: Node 01

Bought Lists & Cold Blasts

The Critical Diagnostic

Agencies purchase outdated, stale target lists and execute bulk outreach. Messages land directly in spam folders, resulting in low delivery and burned domain reputations.

Operational Consequence

Low engagement metrics, damaged domain reputation, and high acquisition costs with zero high-intent opportunities created.

Impact Metric <1% Click Rate
Recovery Priority High Leakage

YOUR TURN

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15 min. No fluff. Just a blueprint to automate growth.