SALESmanago's Real-time, AI-powered Recommendations
Elevate Customer Experience, Skyrocket Engagement, and Maximise Sales through Data-driven Personalisation
Improve conversion rates and recover lost revenue with abandoned shopping cart communications
Trigger reminder emails to help recover abandoned carts
Offer tailored discounts to encourage customers to complete their purchases
Track and analyse abandoned cart recovery rates to refine your strategies
Re-engage returning visitors with recently viewed product recommendations to drive conversions
Remind customers of products they have explored to encourage purchases
Increase conversions by showcasing items of interest
Enhance user experience with personalised, relevant suggestions
Increase sales and create urgency with multi-channel price drop notifications
Alert customers when prices drop on their products of interest
Create a sense of urgency to encourage quick purchases
Boost conversions by keeping users informed of the best deals
Recover missed revenue with multi-channel back-in-stock notifications to drive purchases
Notify customers when sold-out items are back in stock to recapture their interest
Reignite interest and encourage quick buying decisions when items become available again
Boost sales by re-engaging with shoppers who showed interest in out-of-stock products
Create tailored recommendation scenarios based on your product, transactional, and behavioural data
Easily offer relevant suggestions with out-of-the-box or customisable advanced scenarios
Refine product recommendations using exclusions and filters
Maximise revenue with AI-powered recommendations and sorting options
Engage visitors with an easy-to-setup wishlist to drive conversions and retention
Allow users to save their favourite products and use them to drive return website visits
Boost sales by enabling customers to share their wishlists with friends and family
Easily integrate the wishlist with your existing eCommerce solutions
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Enhance the shopping experience and boost sales with AI-powered recommendations
Provide highly personalised product recommendations by analysing visitors’ behaviour and preferences
Increase sales with dynamic displays of products that match customer interests
Boost satisfaction, conversion, and retention with relevant, tailored recommendations that simplify and enrich the shopping journey
Tailor product recommendations and deliver personalised experiences with custom scripts to drive engagement
Deliver personalised, dynamic recommendations that align with individual customer needs and preferences
Request custom scripts for hyper-personalised recommendations based on your customer’s specific data
Seamlessly integrate with your eCommerce platform to access dynamic, personalised recommendations—featuring client-specific pricing and tailored product suggestions
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Customise product recommendations with advanced filters to deliver more relevant offers
Offer highly relevant product recommendations using advanced exclusions and similar item filters
Maximise revenue by applying expanded product sorting options tailored to customer preferences
Fine-tune recommendations with the advanced filtering and sorting tools and analytics
Turn Your Customer Data into Growth
Power Growth with Deep Customer Insights And Personalisation
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Accelerate Customer Acquisition with Dynamic, Personalised Engagement
Transform casual browsers into fans with our AI-driven recommendation engine. Create real-time, personalised product suggestions based on individual user behaviour and preferences, capturing attention from the moment a visitor lands on your site. With advanced filtering, custom scripting capabilities, and continuous optimisation based on user behaviour, you can fine-tune product suggestions to align perfectly with your business goals and ever-evolving customer needs.
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Boost Conversions with Intelligent, Timely Recommendations
Our AI recommendations analyse user data in real-time to display products that precisely match customer interests and purchase intent. Utilise strategic price drop notifications to create a sense of urgency, motivating quick purchasing decisions. The smart back-in-stock feature recaptures missed opportunities by alerting customers when sought-after items become available.
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Foster Deep Engagement through Hyper-personalised Experiences
Our AI-powered recommendation engine evolves with each interaction, delivering increasingly relevant product suggestions that keep customers coming back. The dynamic wishlist functionality encourages repeat visits and simplifies the path to purchase. By implementing custom recommendation scripting and advanced filtering, coupled with ongoing data analysis, you can create hyper-personalised experiences that resonate with individual customer preferences and anticipate their needs.
FAQ
Our current product recommendations feel generic. How does your AI make them truly personal?
SALESmanago’s AI Personalisation Engine analyses each visitor's real-time Browse behaviour—clicks, views and time spent—from their very first interaction. It goes beyond simple "bestsellers" to display products genuinely tailored to their immediate interests, creating a one-to-one shopping experience that boosts engagement and conversions.
We need to increase our Average Order Value (AOV). Which recommendation types are most effective for this?
To boost AOV, you can deploy "Cross-sell" recommendations on product and basket pages to suggest complementary items. To improve conversions, you can use "AI-powered similar products" to help visitors find the perfect item faster, or place "Recently Viewed" modules to remind returning customers of their interest and shorten their path to purchase.
How can recommendations help us recover sales from abandoned baskets?
The SALESmanago platform connects on-site behaviour with your other channels. When a visitor abandons their basket, you can automatically send a follow-up email that not only reminds them of the items left behind but also includes a frame of personalised recommendations based on their Browse history, increasing the likelihood they will return to complete the purchase.
We lose revenue when popular products go out of stock. How does your solution address this?
SALESmanago helps you recapture that lost opportunity. You can enable Back-in-Stock Notifications, allowing customers to sign up for an alert on the product page. The moment the item is available, they receive an instant notification via their chosen channel. This brings interested buyers back to your site and recovers sales you would have otherwise lost.
We want more control over the products being recommended. Can we exclude certain items or prioritise others?
Absolutely. Our Advanced Filtering gives you full control. You can create rules to exclude low-margin items, products from specific categories, or items with low stock. Conversely, you can prioritise products you want to promote, such as those from a new collection. This ensures your recommendation strategy aligns perfectly with your commercial goals.
How difficult is it to set up and manage these recommendation frames on our website?
It's designed to be straightforward for marketing teams. You can use SALESmanago’s pre-configured, out-of-the-box recommendation scenarios and add them to your site with minimal technical knowledge. The appearance is fully customisable to match your brand's look and feel, allowing you to get started quickly without heavy reliance on developers.
Can you personalise recommendations for first-time visitors who we know nothing about?
Yes. The AI engine begins tracking and learning from the very first click. Even for an anonymous visitor, it analyses their journey through your site in real-time—which categories they view, what filters they apply—to immediately start personalising the recommendation frames they see. This helps to engage new traffic effectively from the outset.
How does the Wishlist feature integrate with the recommendation engine?
The Wishlist acts as a powerful source of first-party data. When a customer saves an item, it signals strong interest. This data is fed back into the personalisation engine to refine future recommendations shown to that user across your site. It also enables highly effective campaigns, such as notifying a user when a wished-for item goes on sale.
