skip to Main Content

Amplitude Recommend

Wow customers with 1:1 experiences.

Amplitude Recommend combines product analytics and automated machine learning to make personalizing every touchpoint possible without tapping technical resources.

Identify the right users with behavioral segmentation

Cohorts and Computations build lists of users to target without additional instrumentation.

Find the right message with predictive personalization

Predictions & Recommendations determine the content that maximizes conversion without data science lifting a finger.

Automate the right time with real-time delivery

Syncs and APIs push targeting data to any digital destination including email, ads and product—no engineering work required

Brands delivering personalized experiences with Recommend.

The first truly self-serve personalization engine.

Integrations, targeting, and a recommendation engine. It’s all there. Now you can deliver on one-to-one personalization, without an army of data scientists and engineers.

“With Recommend, we’ve found the perfect balance between optimizing revenue and creating fun for our customers. You know when you’re listening to a Spotify playlist and think, “Wow, Spotify just gets me?” That’s the feeling we’re able to create.”

Patrick Gordon
Principal, Jumbo Interactive

A complete personalization toolkit at your fingertips.

Push the audiences you build in Amplitude to any tool in your stack for consistency and reliability.

Segment users by the last item they viewed, average order value, number of video completes or any combination of behaviors and traits you track.

Tailor campaigns to send reminders to the highest propensity customers, special offers to those on the fence and fresh engagement strategies to the ones least likely to convert.

Rank order assortments, carousels, and email content by using machine learning to determine the best selections for each individual customer.

Experiences that adapt to every customer.

Recommend equips every team with the ability to deliver completely personalized experiences previously only available to digital elites like Amazon, Stitchfix and Netflix.

Real-time delivery to your product and your stack.

Automated audience syncs via pre-built integrations

Dynamic customization via the real-time Profile API.

Pull in any user property

Access predictions and computations

Return lists of ML-driven recommendations

Targeting and recommendations for every use case.

Product Assortment
Rank SKUs to be displayed on a homepage or within a category page.

Next Best Product
Rank a second SKU in the checkout or carousel flow, or in an email after purchase.

Cross-Sell Optimization
Rank related products to an item a customer is looking at or has added to cart.

High LTV User Engagement
Build audiences of users with predicted High LTV to target with special offers, products, etc.

Cart Abandonment
Build audiences of customers with items left in their cart.

“We were able to improve marketing spend efficiency by 3x, as measured through A/B tests and LTV improvements.”

Andrew Touchstone
Director of Growth Marketing at Postmates

Menu Optimization
Rank menu items to be displayed on app open or within a category page.

Cross-Sell Optimization
Rank categories of drinks, sides, or treats that pair with an item already added to cart.

Offer Optimization
Build audiences of users based on their propensity to purchase an item (e.g., “chicken sandwich”) to customize offers, discounts, etc.

Category-based Audiences
Build audiences based on past ordering behavior such as coffee purchaser.

Lapsed-Customer Engagement
Build audiences of former customers that have not purchased in a specified time frame.

“Today more than ever it’s important for us to think about experiences people are going to have with the Burger King brand that will be relevant and establish a meaningful, emotional connection.”

Elie Javice
VP of Tech Product Management from Restaurant Brands International (Burger King)

Catalog / Product Assortment
Rank articles or products displayed on a homepage or within a category page.

Next Best Offer
Rank a second article or product in a flow, or in an email after enrolling.

Cross-Sell Optimization
Rank articles or product that signify discrete stages of a customer lifecycle they haven’t yet achieved – e.g,. by financial experience.

Offer Optimization
Build audiences based on users’ propensity to purchase a product or engage with content.

Lapsed-Customer Engagement
Build audiences of customers that have not engaged or logged in over a specified period of time.

“Amplitude helped us break down silos between teams. We built a few bridges between the marketing team and the data science team to hone in on some better customer segmentation using our in app events.”

Sara Nofeliyan
Lead Product Manager – Growth, Varo Money

Catalog / Assortment
Rank content displayed on a homepage, within a category page, subscription purchase page or in emails.

Next Best Action
Rank content in emails or communications about what to read, watch or listen to next.

Trial Conversion
Build audiences of users based on their likelihood to convert to tailor custom offers.

Affinity Engagement
Build audiences based on users’ propensity to engage with a specific content or type of content.

Lapsed-User Engagement
Build audiences of customers that have not engaged or logged in over a specified period of time.

“iflix has improved campaign conversion-to-view rates and increased ad revenue four-fold by leveraging behavioural segmentation to target users. Amplitude Recommend has empowered us to execute highly targeted experiences and tune campaigns to drive impact.”

Emmanuel Frenehard
CTO, iflix

Catalog / Product Assortment
Rank content or products displayed on a homepage or within a category page.

Next Best Experience
Rank a second content or product in a flow, or in an email after enrolling.

Offer Optimization
Build audiences based on users’ propensity to make a purchase or engage with content.

Power User Optimization
Target power users with special experiences, offers and products in campaigns.

Affinity engagement
Build audiences by affinity based on the behaviors they demonstrate.

“Marketing is always digging into Amplitude to try to understand and identify interesting segments, and most of the times they use that logic in lookalike campaigns through Facebook, for example, which is why Amplitude’s Engage feature could really help them go further.”

Marc Vicente
CEO, ABA English

Content Optimization
Rank articles or products displayed on a homepage or within a category page.

Next Best Content
Rank a second content piece or experience in a flow, or in an email after engaging with an asset.

Offer Optimization
Build audiences based on their propensity to purchase a product or engage with content.

Churn Reduction
Build audiences based on users’ likelihood to churn to re-engage.

Affinity Engagement
Build audiences by affinity for content, solutions or problem areas based on the behaviors they demonstrate.

“We started to realize the frequency of user behavior aligned with some common rituals within performance management, and that’s helped us think about notifications and messaging and how we bring people back into the product that fits their normal day to day use of the software.”

Henry Vasquez
Sr Product Manager, Cornerstone

AmpliTour

The rock-n’-rollin’ workshop for total beginners in product-led growth.

Join a Live Session

Making the Leap to a Digital-First Enterprise.

Learn how digital business leaders around the globe are building a digital-first strategy for competitive advantage.

Read the Report

Digital Disruptors Summit

Hear real-world stories from the digital disruptors upending their industries. Get inspired and join the movement!

Watch on Demand
Back To Top