Stop Guessing. Start Predicting Revenue.
Shopify Analytics tells you what happened. Predictive analytics tells you what's about to happen. I build custom ML models for Shopify brands that forecast churn, optimize ad spend, predict inventory needs, and identify high-LTV customers before your competitors do.
Is Your Shopify Data Holding You Back?
These are the data blind spots I fix most often for growing DTC brands.
"We're flying blind on retention"
You know your repeat purchase rate, but you don't know WHICH customers will buy again, when, or how much. Retention feels like a lottery.
"Ad spend is eating our margins"
CPA is rising, ROAS is dropping, and you can't tell which channels actually drive profitable customers vs. one-time buyers.
"Inventory forecasting is reactive"
You're either stocking out on winners or sitting on dead inventory. Your reorder decisions are based on gut feel, not demand signals.
"Data lives in 5 disconnected apps"
Shopify, Klaviyo, GA4, your 3PL, your ad platforms. Nobody has a single source of truth, so decisions get delayed or duplicated.
What I Build for Shopify Brands
Predictive systems that plug directly into your existing tech stack, no app bloat, just actionable insights.
Predictive Customer LTV & Churn Scoring
A machine learning model that scores every Shopify customer on predicted lifetime value and churn probability, updated weekly.
- Feature engineering: RFM, subscription status, engagement decay
- Output: Risk/Value tiering with recommended next-best-actions
- Integration: Syncs to Klaviyo segments, CRM, or CSV
- Accuracy: Back-tested 12-18 months, 75-90% precision
Marketing Attribution & ROAS Optimization
Move beyond last-click attribution. Build a data-driven model that maps ad spend to actual customer profitability, not just first purchases.
- Multi-touch attribution aligned with LTV, not AOV
- Channel payback period & margin contribution tracking
- Budget shift recommendations: cut waste, scale winners
- Works with Meta, Google, TikTok, Pinterest, Affiliates
Demand Forecasting & Inventory Optimization
Predict SKU-level demand 14-60 days out using seasonality, promo calendars, and velocity trends. Set smart reorder points that prevent stockouts.
- Time-series forecasting: Prophet, ARIMA, Exponential Smoothing
- Lead-time & safety stock calculations
- Dead stock & markdown alert system
- 3PL/warehouse integration ready
Executive Shopify Analytics Dashboard
A unified Power BI or Looker Studio dashboard that merges Shopify, ad, email, and inventory data into one view your leadership team will actually use.
- Real-time revenue, margin, and cohort retention tracking
- Predictive LTV & churn heatmaps
- Inventory turnover & reorder alerts
- Automated weekly PDF/Slack summaries for founders
Transparent Pricing for DTC Growth
Fixed-scope projects designed for Shopify brands scaling from $10K-$1M+ monthly revenue.
Shopify Data Diagnostic
Validate your data readiness, identify quick wins, and map predictive feasibility.
- 90-min strategy & data audit call
- Shopify + App ecosystem review
- Gap analysis & quick-win report
- Fixed-scope proposal for build
Predictive Analytics Build
End-to-end model training, dashboard integration, and automation setup.
- Shopify API + App data pipeline setup
- ML model training (LTV/Churn/Demand)
- Klaviyo/CRM segment sync
- Executive dashboard + documentation
DTC Growth Retainer
Ongoing model monitoring, cohort analysis, and quarterly strategy optimization.
- Monthly model retraining & accuracy checks
- Cohort & channel ROI reviews
- Dashboard updates & new metric builds
- Priority Slack/Email support
Most brands recover project cost within 45-90 days through ad spend optimization, reduced stockouts, and improved retention ROI.
How We Build Your Predictive Engine
A lightweight, app-integrated process that doesn't disrupt your store operations.
Discovery & Data Mapping
We review your Shopify setup, connected apps (Klaviyo, Recharge, GA4, 3PL), and business goals. I map your data sources and identify predictive opportunities.
Data Pipeline & Cleaning
I connect to the Shopify Admin API, export historical orders, customer behavior, and marketing spend. Data is cleaned, deduplicated, and structured for modeling.
Model Training & Validation
I train predictive algorithms (LTV regression, churn classification, demand forecasting) and validate against holdout periods. We choose the model that balances accuracy with business actionability.
Integration & Dashboard Deployment
Predictions are synced to your marketing tools (Klaviyo segments, CRM tags) and visualized in a live Power BI/Looker dashboard. Automation handles weekly updates.
Handover & Optimization
You receive the model, documentation, and a training session. We run a 30-day optimization window to refine thresholds, adjust forecasts, and ensure full team adoption.
Technical & App Stack
DTC Predictive Wins
Real Shopify brands that moved from reactive reporting to predictive growth, click any to see the full breakdown.
Beauty DTC · $450K/mo
Reduced CAC by 34% with LTV-Based Ad Optimization
Predictive CLV scoring revealed Meta ads drove high-volume but low-LTV buyers. Budget shifted to creator partnerships + email. LTV:CAC improved from 1.9x to 3.4x.
View portfolioApparel Subscription · Recharge
Cut Churn by 28% with Predictive Win-Back Campaigns
Built churn probability model synced to Klaviyo. Triggered personalized offers 14 days before predicted cancellation. Recovered $210K in annual recurring revenue.
View case studyHome Goods · Shopify Plus
Eliminated Stockouts During Peak Season
Implemented 30-day demand forecasting across 1,200 SKUs. Adjusted safety stock + reorder points. Reduced stockout days by 85% during Q4 holiday surge.
View portfolioCommon Questions from Shopify Founders
Ready to Predict, Not Just Report?
Let's Audit Your Shopify Data & Map Predictive Wins
Tell me about your store, current stack, and growth bottlenecks. First call is free, no pitch, no obligation. Just a clear path to data-driven scale.
Book Your Free Shopify AuditRemote worldwide · Works with all Shopify plans · Typically respond within 24 hours · adeyemi@adediranadeyemi.com