battles / Email & SMS
Postscript vs Retention Science
Postscript ($500/mo/mo, vibe code 5/10) vs Retention Science ($750/mo/mo, vibe code 4/10). Retention Science is the easier one to rebuild yourself — here is what you lose either way.
Email & SMS
$500/mo/mo
- MVP
- 2-3 weeks
- Full replacement
- 6-12 months
Email & SMS
$750/mo/mo
- MVP
- 2-3 weeks
- Full replacement
- 6-12 months, due to deliverability infrastructure and predictive ML model tuning
easier to rebuild
get the build prompt →price gap / year
$3,000/mo
running both / year
$15,000/mo
our call
Start with Retention Science — highest vibe code, weakest moat.
Postscript
You can build the workflow automation engine and Shopify event triggers in two weeks with AI. However, running raw SMS yourself means taking full responsibility for 10DLC carrier registration, TCPA legal compliance ($1,500 fines per violation), and deliverability management.
you can rebuild
- Basic SMS campaign broadcast scheduler
- Automated flow triggers (Cart Abandonment, Welcome Series, Order Status)
- Basic subscriber list management and customer segmentation
- Simple Liquid template personalization (first name, discount links)
- Opt-in popups and embeddable forms
what you lose
- Automated TCPA/CTIA legal protections and pre-vetted opt-in wording.
- Pre-configured 10DLC brand registration and direct short code throughput provisioning.
- Shopper AI conversational assistant for automations and response handling.
- Managed service add-ons (Postscript Plus) and dedicated CSM strategists.
- Pre-built flow library for browse abandonment, price drop, and back-in-stock alerts.
real moats
- Carrier relationships and high-throughput 10DLC/Shortcode throughput allocations.
- Built-in TCPA compliance architecture indemnifying brands against automatic opt-in lawsuits.
- Shopify checkout API integration depth and historical data syncing at scale.
Retention Science
Building basic email trigger workflows and template rendering using modern AI agents is trivial. Replicating managed IP deliverability, real-time predictive churn algorithms, and send-time optimization models takes substantial effort and continuous data.
you can rebuild
- Basic event-triggered email flows (welcome series, abandoned cart, post-purchase)
- RFM-based rule segmentation (Recency, Frequency, Monetary value)
- Standard HTML email template rendering
- Ecommerce event webhook ingestion (Shopify, BigCommerce)
- Basic metrics dashboards (open rates, click-through rates, revenue per email)
what you lose
- Predictive send-time optimization trained on cross-merchant interaction logs
- Automated product recommendation engine driven by collaborative filtering
- Managed domain reputation and dedicated warm IP pool routing
- Pre-built ML models for predicted Customer Lifetime Value (pCLV) and churn probability
- Enterprise handling of compliance edge-cases for CAN-SPAM, CASL, and GDPR
real moats
- Aggregated cross-merchant behavioral data powering predictive engines
- Managed email delivery infrastructure and established ISP relationships
- High switching costs associated with migrating established email workflows and sender domain reputation
Questions people ask
Which is easier to rebuild with AI, Postscript or Retention Science?
Retention Science. It scores 4/10 on vibe code with a moat of 5/10, so an AI-assisted MVP takes about 2-3 weeks and a full replacement about 6-12 months, due to deliverability infrastructure and predictive ML model tuning.
Which one costs less, Postscript or Retention Science?
Postscript at $500/mo/mo for a typical mid-market store. The gap between the two is about $3,000/mo a year.
What do I lose if I replace Postscript?
Automated TCPA/CTIA legal protections and pre-vetted opt-in wording. Pre-configured 10DLC brand registration and direct short code throughput provisioning. Shopper AI conversational assistant for automations and response handling.
What do I lose if I replace Retention Science?
Predictive send-time optimization trained on cross-merchant interaction logs Automated product recommendation engine driven by collaborative filtering Managed domain reputation and dedicated warm IP pool routing
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