LIFECYCLE EMAIL SYSTEMS FOR D2C & SAAS
Built and deployed at Streamoid Technologies · AI SaaS for fashion & retail brands
I build lifecycle email systems that recover lost signups and turn them into revenue.
Most brands send the same emails to everyone. I build systems that adapt based on user behavior — built from scratch, not optimized from an existing setup.
The proof below comes from a SaaS company. This is the system D2C brands paying for traffic but not converting it on the backend are missing.
The result in one line
No email marketing. No follow-up. Just churn.
6 months later: 47.7% open rates — reactivating signups that would have been lost — two live automated flows, and a system built to scale without manual work.
If you're paying for traffic and not converting it — this is what you're missing →
01 — The Problem
Streamoid Technologies is an AI-powered SaaS company with three products serving fashion and retail brands. They had a growing user base — and zero email infrastructure to support it.
No welcome sequence. No automated flows. No sender reputation. No segmentation. Every signup that didn't convert immediately was gone — no second chance, no nurture, no recovery.
Signups were being acquired and immediately lost. Every new user who didn't activate on their own was dead revenue.
Led end-to-end execution across strategy, copy, and implementation — built from scratch, in 6 months, solo.
02 — What I Built
Before touching a single subscriber, I ran 8 structured warm-up campaigns over 6 weeks to establish sender reputation with email providers. Skip this step and your emails go to spam — permanently.
Before that, I handled the full technical foundation — domain authentication (SPF, DKIM, DMARC), DNS configuration, Klaviyo integration with the website, and PostHog connected to Klaviyo so user behaviour on-site could trigger the right automated flows. This is the infrastructure layer most email setups skip — and why deliverability fails before a single campaign goes out.
Open rates across warm-up batches ranged from 15% to 60%, confirming clean deliverability before any real campaigns went out.
I designed, wrote, and launched Streamoid's first automated welcome sequence — a conditional flow that didn't treat every subscriber the same.
Built and executed end-to-end — strategy, copy, logic, and implementation inside Klaviyo.
Day 0: New signup enters the flow. Welcome email goes out immediately.
Day 2: Flow checks one thing — did they open Email 1? If yes, they enter a higher-intensity engaged path. If no, re-engagement path. Same list, two completely different experiences. This prevents engaged users from being slowed down and disengaged users from being lost.
Completion: Subscribers automatically moved to a "Completed" list — ready for the next campaign without any manual work.
Sample size: first 149 users through the flow · Early-stage signal, but directionally strong across all segments
After the Photogenix flow was live, I identified a bigger structural problem. Streamoid had three products — Photogenix, Artifax, and Catalogix — but email was siloed. A Photogenix user never heard about Artifax. Cross-product revenue was being left on the table at zero acquisition cost.
I proposed a unified strategy to leadership and built a 5-email sequence covering all three products under one brand, with click-based personalization that automatically routed subscribers into product-specific paths.
This unlocked cross-product exposure without spending an extra rupee on acquisition.
Email 2 pivot point: Subscriber clicks a product button → Klaviyo tags them automatically → they enter that product's path for Emails 3–5.
Multi-click fallback: Subscriber clicks multiple products → receives a clarification email → then enters the right path.
No-click fallback: Subscriber doesn't click → stays in general path covering the full suite.
102 subscribers entered this flow. Email 1 opened at 23.5% — expected for cold B2B signups across a broader audience vs. warm product users. The infrastructure and personalization logic is what this phase was built to establish.
A system is only as good as what's written down. I documented everything so the team could own it after me.
Full email strategy document — flow logic, segmentation rules, conditional splits, fallback paths
User guides for Streamoid CXO, Artifax, and Photogenix
Blog content system for consistent long-term output
03 — The Result
Before: every signup that didn't self-activate was gone. No follow-up. No recovery. Dead revenue.
After: every new signup enters a structured behavioral flow — segmented automatically, nurtured based on what they do, and moved toward activation without manual work. Two live flows. Warmed domain. Complete documentation. A system the team owns and can scale.
Previously wasted acquisition is now recoverable revenue.
Even a 5–10% activation lift from these flows compounds directly into paid conversions — especially for brands already spending on acquisition.
What the team said
— Quote from Tanvi / Jefin · Coming soon —
Tools used
Work with me
I'll map your missing flows in 30 minutes and show you exactly where revenue is leaking. No obligation.
This is for you if
✓ Running paid ads but not converting signups
✓ No structured welcome or cart recovery flows
✓ Tired of one-size-fits-all email blasts
✓ Want email running automatically, not manually
Not the right fit if
✗ Already running advanced lifecycle marketing
✗ Looking for daily campaign management
✗ Need a full-service agency setup
Foundation
Email Foundation Package
$800
Early-stage pricing · Limited builds available
Full email audit — flows, gaps, missed revenue
Welcome sequence — 5 emails, written + built in Klaviyo
Abandoned Cart sequence — 3 emails, written + built
Segmentation + trigger setup
90-day campaign plan mapped to your sales moments
Live and sending within 4 weeks
Add-on
Technical Setup
$150
For brands starting from zero
Domain authentication — SPF, DKIM, DMARC
DNS configuration
Klaviyo–Shopify integration
30-day email warm-up plan
Or email me directly — bjphairembam77@gmail.com
I'll walk you through what's missing and what I'd build — then you decide if you want help implementing it.