Embedded Analytics Drives Merchant Success for Carthook
CartHook is a data-driven company at its core. Founded in 2015, CartHook is an e-commerce platform that enables Shopify stores to build optimized checkout funnels. They can increase a shopper’s average order value by allowing the merchant to offer post-purchase upsells after the initial checkout. If someone buys a new ski jacket, CartHook can help store owners persuade the customer to get some new ski pants to go with it.
These offers are a great way to increase customer value because the shoppers are encouraged to add additional products to their order without having to re-enter their payment information. The result? Higher conversion rates, satisfied shoppers, and more successful merchants.
Internal analytics leads the way
CartHook brought Sisense for Cloud Data Teams onboard to help with internal analytics, which quickly drove value for the company. Dashboards were first created for the company’s top line metrics, but soon each business unit was given their own dashboards with key performance indicators, empowering the company to build a company-wide data-focused culture.
“Sisense for Cloud Data Teams took a lot of pressure off our business because of how easy it was to develop and deploy. Being able to share dashboards with our thousands of customers without devoting our resources to building them was crucial to our success.”
Ben Fisher, Co-Founder and CTO at Carthook
“There’s a strong hunger for insights derived from data here,” said Ben Fisher, co-founder and CTO at CartHook. “Once we started to make data more accessible and easier to visualize for our teams, they jumped at the chance to use it to improve our efficiency.”
As data became easy to access, groups began to build their own exploratory dashboards. This let them analyze data for a single merchant, across a cohort or for all of CartHook’s customers at once. Eventually, Sisense for Cloud Data Teams was even used to create dashboards for their investors.
Building an analytics platform
In addition to their internal analytics, CartHook has a special use case: white-labeled embedded reporting.
E-commerce is a heavily data-driven business, and merchants want to know exactly how their stores are performing. CartHook empowers its customers by providing in-depth reporting for its checkout flow across all its sales funnels.
“This is not a simple process — merchants can have thousands of sales funnels, each one requiring new, fresh data every time a merchant wants to examine a different segment, product or sales flow,” said Fisher. “We needed an analytics solution that could handle our demands for up-to-date information and allow us to answer new questions as they came up.”
In the beginning, CartHook relied on its own infrastructure to store and manage its data, but as the number of customers grew, it required a solution that could scale with its needs. Fisher made the decision to move to a turnkey solution that could help CartHook’s team move back to their core business — helping merchants sell more product.
By turning to Sisense for Cloud Data Teams and its powerful integrations with Amazon Web Services for their embedded analytics, CartHook immediately had a database capable of lightning-fast queries and a flexible visualization platform for exploring data across its huge numbers of dimensions.
“Sisense for Cloud Data Teams took a lot of pressure off our business because of how easy it was to develop and deploy,” said Fisher. “Being able to share dashboards with our thousands of customers without devoting our resources to building them was crucial to our success.”
With Sisense for Cloud Data Teams, CartHook provides their customers with accurate, filterable and up-to-the-minute information about their post-checkout sales cycles, and merchants are able to immediately understand the value CartHook provides.
Moving forward, Fisher believes Sisense for Cloud Data Teams will play a key role as CartHook’s customer base continues to expand, providing critical support for its growing demand for new means of data exploration.