Tresl’s Segments Analytics gives small online stores the same data analytics as large sellers
Tresl’s flagship product, e-commerce intelligence platform Segment Analytics, is designed to give small brands on Shopify access to the same kind of analytics larger online retailers have. Founded by former LinkedIn data scientists, Tresl is currently exhibiting at CES’ Taiwan Tech Arena.
Segments Analytics analyzes a Shopify store’s data and then automatically sorts visitors into more 30 pre-built customer segments based on their browsing habits, spending and how likely they are to make repeat purchases.
This means that brands can identify specific groups of shoppers and use Segments Analytics’ suggestions for targeted campaigns without spending too much on data analytics, marketing or user acquisition. For example, one of the segments the platform identifies are people who have made one purchase already, but are unlikely to buy again unless they are see an ad or promotion soon. Segments Analytics can be used for advertising across multiple channels, including email, Facebook and Google.
Tresl claims that brands using Segments Analytics have increased their clickthrough rates on abandoned cart flows (or reminders sent to customers who have unpurchased items) by 30% and grown sales by 40% month-over-month within one month of implementing the platform.
Segments Analytics is currently available through the Shopify App Store, with subscriptions starting from $79 a month.
Tresl’s flagship product, e-commerce intelligence platform Segment Analytics, is designed to give small brands on Shopify access to the same kind of analytics larger online retailers have. Founded by former LinkedIn data scientists, Tresl is currently exhibiting at CES’ Taiwan Tech Arena. Segments Analytics analyzes a Shopify store’s data and…
