AI Recommendations by Aqurate
- 定价
-
$99/月起。 提供免费试用。
- 亮点
- 可直接在 Shopify 后台使用
- 适用于最新模板
- 评分
- 5.0 (6)
配图图库
Improve your conversions, AOV, and customer retention using AI-driven product recommendations
Aqurate Personalize helps eCommerce shops increase the conversion rate, the average order value, and customer retention by offering their visitors a personalized online shopping experience. Using AI-driven technology, Aqurate delivers highly targeted product recommendations to each customer, based on their previous interactions with the shop. Over 10 product recommendation types (e.g. cross-sell, upsell, similar) can be displayed on the website (product detail page, cart) or sent by email.
- Automatically personalize the user journey based on preferences and behaviour
- Increase your Conversion Rate and AOV and decrease Customer Acquisition Cost
- Fully automated recommendations that take into account stock and new products
- Advanced merchandising rules to promote specific products or collections
- Great performance without slowing down your website and dedicated support
包含未翻译的文本
- 亮点
- 可直接在 Shopify 后台使用
- 适用于最新模板
语言
英语
这款应用未翻译成简体中文
适配以下产品：
- 结账
- Klaviyo
- ActiveCampaign
- Brevo
- Mailchimp
定价
Entry
$99 /月
或 $1,010/年（可节省 15%）
- Up to 1,000 orders/month
30 天免费试用
Starter
$199 /月
或 $2,030/年（可节省 15%）
- From 1,000 to 2,500 orders/month
30 天免费试用
Plus
$369 /月
或 $3,764/年（可节省 15%）
- From 2,500 to 5,000 orders/month
30 天免费试用
Pro
$689 /月
或 $7,028/年（可节省 15%）
- From 5,000 to 10,000 orders/month
30 天免费试用
Lovely customer support and advanced recommendation options, openness to implementations, custom implementation ideas put well into execution, custom placements, constant optimizations to the product carousels and their rulesets, good insights dashboard. Overall great choice that beats any product arrangements done manually or via other simple apps. Highly recommended
Thank you for this detailed and thoughtful review! We’re thrilled you’re getting value from both the product and the collaboration. Onwards and upwards! 🔧✨
We use Aqurate and we’re pleased with the results. The product recommendations are relevant and contribute to increasing the average order value. The interface is intuitive, and the integration with Shopify was very smooth. The support team is responsive and efficient, providing quick assistance whenever needed. We confidently recommend this app to any online store looking to enhance the customer ...
Thank you for the wonderful feedback! We’re really happy to hear Aqurate is making a positive impact on your store and that the experience has been smooth all around. ...
We have been using Clerk for one year and have migrated to Aquarate 6 months ago. We are very happy with the result. Product recommendations work accordingly, but most importantly is that the team is hands-on and very helpful. We had some customizations implemented with their help as well as adjusting the design to match our theme. Additionally the back-end is intuitive and works well with ...
Thanks so much for your trust and kind words! We’re really glad to hear our team and product are making a difference for you. Excited for what’s ahead! 🚀
Aqurate este soluția perfectă pentru orice magazin online care dorește să-și crească vânzările! Aplicația oferă sugestii inteligente de cross-sell și up-sell, ajutându-mă să propun clienților produse relevante, exact la momentul potrivit. Interfața este intuitivă, iar rezultatele s-au văzut rapid — valoarea coșului mediu a crescut vizibil. O recomand tuturor celor care vor să-și optimizeze ...
Thank you! We love hearing that Aqurate helped grow your average basket value so quickly. Appreciate the recommendation! 💜
We were surprised by how effective Aqurate was. In the first 3 weeks from the implementation we succeded in a 20% increase in revenue.
Easy to implement, great support team and great solution!
Amazing to hear about that 20% revenue lift in just a few weeks! Thanks for the great feedback and for choosing Aqurate! 💪
支持
应用支持由 Machine Learning Solutions SRL 提供。
或访问支持门户资源
此开发者不提供直接的简体中文支持。
开发人员
推出日期
2024年4月24日
数据访问
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