Turn Clicks into Profitable Revenue
From first visit to repeat purchase. We help e-commerce teams connect acquisition, conversion, and retention data to grow revenue efficiently.
The E-Commerce Growth Hurdle
E-commerce brands collect data from dozens of tools but struggle to connect the dots between acquisition spend, on-site behavior, and lifetime customer value.
Cart Abandonment
High drop-off rates during checkout signal friction that's hard to diagnose without connected funnel data.
Rising CAC
Acquisition costs climb when attribution is broken and budget flows to underperforming channels.
One-Time Buyers
Most customers never return past the first purchase because post-sale engagement is generic.
Data Tool Sprawl
Analytics, ad platforms, CRM, and email tools tell different stories, making it impossible to see one truth.
E-Commerce Data Solutions
End-to-end capabilities that connect acquisition, conversion, and retention data for profitable growth.
Commerce Data Unification
Connect Shopify, Amazon, ad platforms, and CRM into a single source of truth for revenue analytics.
Conversion & LTV Models
Predict customer lifetime value, churn risk, and conversion propensity to optimize spend.
Revenue & Funnel Dashboards
Track conversion rate, AOV, CAC payback, and cohort retention across channels in real-time.
Growth & Retention Strategy
Design segmentation, lifecycle programs, and pricing strategies tied to margin and LTV goals.
Programs That Grow Revenue and Margin
E-commerce teams achieve profitable scale when acquisition, product, and customer data run on one analytics layer.
Checkout Flow Optimization
Identify and fix high-friction drop-off points across the purchase funnel with behavioral analytics.
Cross-Sell & Bundle Engine
Recommend product bundles and cross-sell opportunities using purchase affinity and basket analysis.
Lifecycle Journey Automation
Trigger personalized win-back, replenishment, and upsell campaigns based on real-time purchase behavior.
Channel Attribution Clarity
Connect ad spend to revenue outcomes across paid, organic, and marketplace channels for smarter allocation.
DTC Brand Boosts Repeat Purchase Rate by 28%
A fast-growing DTC brand was spending heavily on acquisition but had a single-digit repeat purchase rate, making unit economics unsustainable.
- Solution: We built a customer segmentation model and automated lifecycle campaigns triggered by purchase recency and predicted LTV.
- Outcome: 28% increase in repeat purchase rate within 6 months.
- Bonus: Blended CAC dropped 18% as retention reduced reliance on paid acquisition.
E-Commerce Analytics FAQs
Yes. We build unified data models that connect Shopify, Amazon Seller Central, Google Ads, Meta Ads, and other platforms into one analytics layer.
We analyze funnel behavior, identify drop-off points, and run data-driven experiments on landing pages, checkout flow, and product recommendations.
Yes. We use cross-sell models, pricing optimization, and upsell triggers to increase AOV without sacrificing conversion rate.
Yes. We model subscription churn, LTV, and cohort retention for brands with recurring revenue models.
Most brands launch an initial revenue and funnel dashboard within a few weeks, then expand into deeper cohort and LTV analytics.
Yes. We model demand at SKU, region, and channel level using seasonality, promotion calendars, and lead-time constraints to reduce stockouts and overstock.
Yes. We combine revenue, discounts, shipping, ad spend, and returns data to calculate true contribution margin by product, channel, and campaign.
Grow E-Commerce Revenue with Smarter Data
Connect your acquisition, conversion, and retention data for profitable scaling.
Get an E-Commerce Data Audit