E-Commerce

Convert more, retain longer with buyer intelligence

E-commerce businesses live and die by their ability to acquire, convert, and retain customers profitably. We help online retailers and DTC brands build the data infrastructure that connects marketing spend to revenue, personalizes the shopping experience, and predicts customer behavior

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Industry Challenges

70%
of online shopping carts are abandoned before checkout
5x
higher cost to acquire a new customer than to retain an existing one
80%
of future profits come from 20% of existing customers
2.5%
average e-commerce conversion rate, with most visitors leaving without purchasing

How uBIT helps

We help e-commerce businesses turn customer data into sustainable competitive advantage

Challenge
Attribution Blind Spots
With customers touching 6-8 channels before purchasing, accurately attributing revenue to marketing spend is nearly impossible with siloed analytics tools
Solution
Multi-Touch Attribution Platform
We build unified data models that connect ad platforms, site analytics, CRM, and order data to reveal the true revenue impact of every marketing touchpoint
Challenge
Cart Abandonment
Understanding why customers drop off requires correlating session behavior, pricing signals, shipping costs, and payment friction data in real time
Solution
Behavioral Analytics & Recovery
We create real-time event pipelines that identify abandonment triggers and power automated recovery campaigns personalized to each customer's specific friction point
Challenge
Inventory Demand Mismatch
Stockouts lose sales while overstock ties up capital. Without demand signals from multiple sources, inventory planning relies on guesswork
Solution
Demand Sensing Engine
We integrate POS, web traffic, search trend, and seasonal data into ML forecasting models that predict demand at the SKU level with greater accuracy

Data solutions in action

Customer Lifetime Value Scoring

Predict which newly acquired customers will become high-value repeat buyers, and allocate retention budget accordingly

Dynamic Pricing Optimization

Analyze competitor pricing, demand elasticity, and margin targets to recommend optimal price points in real time

Personalized Product Recommendations

Build collaborative filtering and content-based recommendation engines that increase average order value and cross-sell revenue

Cohort Retention Analysis

Track customer cohorts by acquisition channel, first-purchase category, and geography to identify which segments deliver the best long-term ROI

Unlock your e-commerce data potential