Increase conversion with segmented data analysis & automation
What segments are analyzed for Recommendations?
Group & analyze data by location to identify trends that dynamically change based on the shopping patterns in that location
Analyze actions performed by visitors at your store to derive insights that determine how your audience define product similarity
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Generate real time 1:1 personalized recommendations like Amazon home page recommendations, based on each visitors unique actions.
Generate category recommendations "Best Sellers" , "Top Grossing", "New Arrivals", "Top Viewed" based on location and action data.
Similar Product Recommendations
Generate product page recommendations "Similar Products" or "You may also like" based on actions from your visitors.
Our architecture allows us to scale with demand while maintaining redundancy so we avoid a single point of failure.
Get incredibly fast and intelligent api responses to ensure visitor experience in never compromised and product views increase
With multi-server setups, clients always have access to more than one server, hence providing 99.9% uptime guarantee
Tagalys updates prices if your store is configured to serve visitors with multiple currencies.
Our API's are configured to serve results across 22 different languages. Visit support section to learn ore.
If your e-commerce platform is configured to have multiple stores, each store can be synced with Tagalys in one installation setup.
All requests are directly served from Tagalys servers, freeing up your server resources on the platform
Any incremental update to your product catalog is always synced and immediately indexed with Tagalys servers.
Track in real time how visitors engage with the listing page to optimize budgets and increase ROI
Installation in less than 60 minutes
When you think of Personalization in ecommerce, you should think of Amazon. No online retailer has experimented across varies application of personalization with the goal