Enterprise pricing

Lite
From €99 / month


  • Under 100k page views / mo
  • 1 sale channel
  • 5k products
  • Standard widgets
  • Composable algorithms
  • Recommendation analytics
  • JS library & JSON API
  • Help docs
  • Visual carousel
  • Custom algorithms
  • Customizable integration
Pro
From €149 / month

  • 100k+ page views / mo
  • 3 sale channels
  • 10k products
  • Standard widgets
  • Composable algorithms
  • Recommendation analytics
  • JS library & JSON API
  • E-mail support
  • Visual carousel
  • Custom algorithms
  • Customizable integration
Enterprise
From €299 / month


  • 1M+ page views / mo
  • Unlimited sale channels
  • Unlimited products
  • Custom widgets
  • Composable algorithms
  • Recommendation analytics
  • JS library & JSON API
  • Priority support
  • Customized carousel
  • Custom algorithms
  • Customizable integration

Frequently Asked Questions

What is Upsellbox?

Upsellbox is a SaaS service which provides automatic and personalized recommendations to visitors of your e-shop. Recommendations are served based on user activity and recommended products are generated using customizable widgets.

How do I integrate Upsellbox?

Upsellbox can be easily integrated on your site using our JS API or using our UpsellBox for Shopify app. With our JS API, you integrate several API calls, which are used to collect user's activity on site and to serve recommendations on your website. You can place different widgets on different pages of your e-shop and easily setup widget recommendation serving logic in Upsellbox dashboard.

How does personalization work?

Real-time user activity together with trained machine learning models are used to serve personalized recommendations based on your widget setup for each user. Upsellbox is designed with data privacy in mind and you have a completely control over session and cookie logic on your pages.

What benefits do I get?

Firstly, Upsellbox recommendation widgets are completely customizable. Widget settings include selction options of different algorithms, category filters, number of slots and recommendation fallback methods. You can setup your optimal recommendation strategy based on specific domain knowledge of your e-shop. Secondly, recommendations are personalized and hence more relevant for each user. In the end, you can expect higher CTR and conversions.

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