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Deliver personalized recommendations, at scale

Send personalized product and content recommendations, for each and every one of your million customers, through their preferred channel.

    Recommendations that are spot on

  • Increase digital adoption

    Educate customers about features that may be relevant to them based on their product usage, location and transaction history.

  • Grow subscription revenue

    Grow long term subscriptions by keeping customers entertained with the right content recommendations based on their history, likes, preferences and more.

  • Upsell more

    Encourage upsells by offering relevant products to customers based on their purchase history, location and other attributes.

Send product recommendations to customers who express interest in a category, but drop off without purchasing.

Sync product catalogs with MoEngage

  • Automatically create a personalized group of products for every customer, based on their behavior and personality.

Personalized recommendations on every channel

  • Hyper-personalize every interaction and send out consistent messaging across channels like email, SMS, push, in-app, and more.

Recommendations that benefit your business

  • Recommend products that could bring in more revenue for your business by filtering your catalog based on dynamic attributes like price range, users’ favorite category, discount range, and so on.

Plug and play with Recommendation APIs

  • Add your recommendation APIs to MoEngage, fetch real-time data from your recommendation engine, coupon systems, or third-party servers, and send out personalized messaging.

Sync product catalogs with MoEngage

Automatically create a personalized group of products for every customer, based on their behavior and personality.

Personalized recommendations on every channel

Hyper-personalize every interaction and send out consistent messaging across channels like email, SMS, push, in-app, and more.

Recommendations that benefit your business

Recommend products that could bring in more revenue for your business by filtering your catalog based on dynamic attributes like price range, users’ favorite category, discount range, and so on.

Plug and play with Recommendation APIs

Add your recommendation APIs to MoEngage, fetch real-time data from your recommendation engine, coupon systems, or third-party servers, and send out personalized messaging.

What top brands say about MoEngage

  • Adda247 (NEW)
  • Rentomojo
profit rate30%

customer retention

quote

MoEngage powers our end-to-end strategies for customer engagement, retention, and user journey mapping. It has helped us to reduce our cart abandonment by 20% and improved the retention rate by 30%.

Joydeep Das

Joydeep Das

Lead Digital Marketing, Lifestyle

Straight from the editor’s desk

Here are some actionable resources on Dynamic Product Messaging that we've curated for you

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Frequently asked questions

What are product recommendations?

Product recommendations are an integral part of personalization strategies. They are used to provide a personalized shopping experience to customers. Products are dynamically shown to a customer based on customer attributes, browsing behavior, etc. Product recommendations are valuable to organizations with a large and diverse product catalog.

What is a personalized recommendation?

Personalized recommendations are shown based on historical customer data and customer behavior. These recommendations contain items that a customer has frequently viewed, considered, or purchased.

What is a content-based recommendation?

Using content-based recommendation systems, companies can suggest items to a customer based on behavior, likes, and purchase history. These systems may be used in a variety of domains ranging from recommending web pages, news articles, sale deals, and more.

How your store benefits from personalized recommendations?

Personalized recommendations are essential to meet sales and marketing goals. It is a proven method for driving profitability.

  • ⎯⎯ Increase in Revenue

  • ⎯⎯ Improve Conversions

  • ⎯⎯ Boost Average Order Value

List some of the product recommendation use cases.

  • ⎯⎯ Display suggested products based on customer history.
  • ⎯⎯ Show “Frequently bought together” recommendations.
  • ⎯⎯ Feature best-selling items.
  • ⎯⎯ Adjust recommendations to keep popular products highlighted.
  • ⎯⎯ Personalize email campaigns.
  • ⎯⎯ Show “Featured recommendation” and “Recently viewed” products.
  • ⎯⎯ Show related item suggestions.
  • ⎯⎯ Alert customers about product updates.
  • ⎯⎯ Offer recommended product pairings on the shopping cart page.
  • ⎯⎯ Show items related to previous purchases.
  • ⎯⎯ Generate product bundles and offer special discounts.

Why should you get started with product recommendations?

Getting started with product recommendations is something every company should consider. Customized recommendations are helpful if you are trying to improve the personalization of your website or app.

List some tips on using product recommendations.

  • ⎯⎯ Collect in-depth behavioral data.
  • ⎯⎯ Analyze the right behavioral triggers.
  • ⎯⎯ Plan your recommendation strategies.
  • ⎯⎯ Keep testing your strategies.
  • ⎯⎯ Implement across all channels.