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Predictable Revenue

Marketing Analytics for E-Commerce

Today's Marketing Challenge

How do you continually attract new customers, keep them engaged, and build loyalty?

How We Help

We help you identify who your best customers will be, retain them, and find more like them.

Attract Customers

Retain Customers

Measure Performance

Attract Customers

Identify ideal audiences and reach new consumers

Identify the high-value audiences for customer acquisition targeting.

Improve response rates while managing acquisition costs.

Acquire customers while removing existing customers from campaigns.

Retain Customers

Deliver relevant experiences to convert and retain customers

Targetted messaging to welcome new customers and capture their preferences.

Target high-value customer segments and provide personlized offers to encourage purchasing.

Increase purchase frequency by targeting recent purchasers with relevant offers.

Measure Marketing Performance

Measure marketing impact on consumer reach, response, and revenue

Measure campaign performance for online sales and in-store transactions.

Use marketing and sales data to focus budget on the most profitable channels.

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Latest Blog Posts

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Customer Segmentation with RFM Analysis using K-Means Cluster

Customer Segmentation and RFM Analysis with K-Means Clustering – Part 2

I. Business Objective An E-Commerce business wants to keep customers active in purchasing. The business would…
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Marketing Strategy vs Marketing Tactics

Don’t Confuse Marketing Tactics with Strategy

Something I often see in marketing and technology is people who choose tactics without a strategy.…
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Targeted Marketing with Customer Segmentation and RFM Analysis

Targeted Marketing with Customer Segmentation and RFM Analysis – Part 1

Introduction An eCommerce business wants to target customers that are likely to become inactive.  In this…
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