Behavioral Analytics for eCommerce BI Teams

Mapping out the customer journey is complicated. A customer might learn of your brand on Twitter, click on your ad two days later and make a purchase at a brick-and-mortar location a month after that… only to eventually return the item online. Our platform pulls data from each of these events to provide you with a unified view of that complicated buying process where, when and however it occurs.

To unify data from multiple sources, you need a data warehouse optimized for behavioral analysis. Cooladata is an end-to-end solution that lets you collect data, handle the ETL, perform ad-hoc analysis of your data in real-time, and create dashboards for every team in your company.

The customer journey is like a “Choose Your Own Adventure” book. With Cooladata, you can see which choices lead to the best possible outcomes so you can guide shoppers along the way. See which actions motivate purchasing decisions in each product category. Unearth behavioral patterns for various shopper profiles, test your assumptions and make informed changes to your customers acquisition process.

Segment your customers based on their behavior, and understand how to target each one of them. Are furniture shoppers more responsive to emails sent in the evening? Are mobile users less likely to abandon their carts? Is a coupon code’s two-week expiration date frustrating potential buyers who took three weeks to consider a purchase? Cooladata allows you to ask any questions about your customers, and get answers instantly.

Do you know how much of your advertising spend actually translates into sales? If you’re investing time and money in Facebook, Google AdWords and other paid acquisition channels, you need information about shoppers beyond their traffic source. With Cooladata, you can track buyers across the customer journey in real time, maximizing engagement at every step.

Give every team in your company the ability to ask any questions they can think of, no matter how complex, and get instant answers, through an intuitive user interface, without writing code or long SQL queries.

What do your most valuable customers have in common? How often do they shop, and in which categories? How did they first hear about your store? What value propositions appeal to them? The answers to these questions won’t only help you determine LTV by shopper segment; they can also shape future promotions—so you can consistently get your brand in front of the people who act like your best customers