AI-assisted growth intelligence for ecommerce operators.
RavenOS connects the commercial stack, reads the customer and revenue trail, and surfaces the growth constraints most teams miss until they show up as stalled conversion, weak retention, rising CAC, or quiet margin decay.
Built by Joshua b Smith, founder/operator and Expert-Vetted Top 1% growth consultant, after 25+ years inside ecommerce, subscriptions, consumer products, manufacturing, and advisory work.
Connected Stack
05Detected Signals
05- Payment failure dragFLAGGED
- Cohort decayDETECTED
- Discount stackingWATCHING
- Checkout frictionDETECTED
- Lifecycle weaknessFLAGGED
Decision Layer
04- 01Revenue Leak Map
- 02Priority Fix Sequence
- 0390-Day Growth Blueprint
- 04Operator Brief
RavenOS is an operator intelligence layer for ecommerce growth.
The hidden growth problem
Most ecommerce brands do not have a traffic problem. They have a signal problem.
Revenue leaks rarely announce themselves cleanly. They show up as flat conversion, soft repeat purchase, rising acquisition costs, lower MER, weaker contribution margin, broken lifecycle logic, and teams arguing from dashboards that do not agree.
RavenOS is built to read across the system instead of judging one channel in isolation.
Acquisition gets blamed when the offer is weak.
Conversion gets blamed when the customer path is broken.
Email gets blamed when the customer data is messy.
Retention gets blamed when the first purchase was never designed to create a second.
Operator Intelligence
RavenOS sits between analytics and action.
Most tools report what happened. RavenOS is built to read why it is happening, where the constraint lives, and what should move first.
Reads the system
Connects customer, revenue, lifecycle, acquisition, and behavioral data across the business.
Ranks the signal
Separates urgent constraints from noise, preference, and surface-level reporting.
Moves to action
Turns the read into a revenue leak map, priority sequence, and 90-day operating blueprint.
What RavenOS reads
One intelligence layer across the ecommerce stack.
Shopify
commerceOrders, products, discounts, payment issues, checkout patterns, repeat purchase, margin context.
Klaviyo
lifecycleLifecycle flows, list health, segments, triggered revenue, campaign fatigue, missed customer moments.
GA4
behaviorBehavior paths, source quality, landing-page movement, drop-off points, device friction, conversion context.
Meta
acquisitionPaid traffic quality, creative signal, funnel mismatch, offer fatigue, ROAS pressure, CAC movement.
Customer Data
valueCohorts, LTV curves, purchase windows, churn risk, customer value pockets, repeat behavior.
Operator Notes
contextFounder context, margin realities, team constraints, product cadence, offer logic, known business pressure.
Signal Engine
RavenOS turns scattered growth data into ranked operator decisions.
The system looks for patterns, contradictions, leaks, and missed revenue paths. AI helps process the volume. Operator judgment decides what matters, what moves first, and what gets ignored.
- 01
Connect
Pull commercial, behavioral, lifecycle, and customer data.
- 02
Read
Map the customer path from traffic to purchase to repeat purchase.
- 03
Detect
Find revenue leaks, weak sequencing, cohort decay, discount drag, and broken lifecycle logic.
- 04
Rank
Prioritize by revenue impact, effort, confidence, and sequence.
- 05
Act
Turn the signal map into a 90-day growth blueprint.
Revenue leaks
Built to find the revenue hiding inside the existing business.
Failed payment drag
Quiet subscription and checkout loss from payment failures, retry weakness, or abandoned recovery logic.
Lifecycle underperformance
Flows that exist but do not match the real customer journey, order cycle, or buying intent.
Cohort decay
Customer groups that stop buying earlier than expected or lose value after first purchase.
Discount stacking
Top-line revenue that looks healthy but leaks through offer overlap, margin erosion, or poor promo sequencing.
Checkout friction
Device, page, offer, trust, payment, and path issues that reduce conversion quality.
Low repeat purchase
First-purchase experiences that do not create the second order.
Paid traffic mismatch
Ad traffic that does not align with landing page, offer, product education, or purchase intent.
Hidden customer value
Segments with higher LTV, faster payback, stronger attach rates, or underused lifecycle upside.
Why Now
Ecommerce teams have more data than ever, and less clarity.
Most growth teams are buried in dashboards, attribution gaps, lifecycle reports, paid media noise, margin pressure, and customer behavior that rarely tells one clean story. RavenOS is built for that environment: an intelligence layer that reads across the system, separates signal from noise, and turns the read into an operating sequence.
Tool Sprawl
Commerce data is scattered across platforms, reports, exports, dashboards, and team opinions.
AI Leverage
The volume can now be processed faster, but the final read still needs operator judgment.
Decision Pressure
Founders, growth leads, and investors need a clearer answer to what is actually constraining growth.
Founder-Built
Built by an operator who has lived inside the numbers.
RavenOS was built by Joshua b Smith after 25+ years building, scaling, advising, and exiting companies across ecommerce, subscriptions, manufacturing, consumer products, and growth systems.
Across founder-built companies, Joshua's work has touched more than $587M in gross retail sales, with additional advisory work across Shopify, Klaviyo, paid acquisition, lifecycle systems, conversion strategy, offer sequencing, and operating roadmaps.
He is also an Expert-Vetted Top 1% Upwork consultant with nearly $3M billed since 2021, giving RavenOS a rare blend of founder-side operating depth and live advisory pattern recognition across hundreds of growth environments.
RavenOS reflects that operating reality. It is designed for the way growth actually breaks inside real companies: across teams, channels, offers, data, customer behavior, and execution sequence.
Founder, operator, advisor, builder.
Gross retail sales across founder-built companies.
Expert-Vetted growth consultant.
AI-assisted analysis with founder judgment at the decision layer.
Selected operator signals
Founder-built exits, Inc. Magazine recognition, HP packaging innovation award, clean-ocean materials exit to UC Irvine, and $587M+ in gross retail sales across companies Joshua personally built, grew, and exited.
Private Beta
Selective access for serious ecommerce teams.
RavenOS is currently being opened through a private beta for brands with enough data, enough complexity, and enough upside to benefit from deeper growth intelligence.
Best fit
- Shopify or ecommerce-led brand
- Meaningful traffic or order history
- Existing lifecycle, retention, or paid acquisition activity
- Conversion, CAC, MER, retention, or margin pressure
- Founder, CEO, CMO, growth lead, or investor seeking a clearer read on the business
Not built for
- Generic dashboards
- Surface-level audits
- Junior checklist work
- Automated advice with no operator judgment
- Reporting without a decision layer
Access is limited. Each review is evaluated for fit before onboarding.
Output
From raw growth data to a board-ready operating map.
Revenue Leak Map
A ranked view of constraints, broken paths, margin leaks, underused segments, and hidden revenue pockets.
Growth Blueprint
A 90-day operating plan organized by impact, sequence, effort, and confidence.
Operator Brief
A clear readout founders, growth leads, investors, and teams can use to make better decisions.
Find the revenue your current dashboards are missing.
RavenOS is in private beta for ecommerce brands ready to see the full growth system clearly.