Offers & Recommendations
AI Email Personalization
Swaps content blocks per recipient inside email campaigns you already send.
AI Personalized Offers and Recommendations
Customers notice when a message feels written for someone else. The products here tailor what each person sees, from the products you suggest to the offer in their inbox and the onboarding steps they get. They work from the data you already hold, so personalization stops being a slogan and becomes part of the routine.
Products in this category
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Offers & Recommendations
AI Offer Personalization
Chooses the right offer for each customer within margin rules.
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Offers & RecommendationsAI Personalized Onboarding
Adapts in-product onboarding content and steps to each user's role and goals.
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Offers & RecommendationsAI Product Recommendation Personalization
Personalizes product recommendations across web and email.
What can be personalized?
There are four places where a tailored touch tends to pay off. Product suggestions on your site and in email. The offer a customer receives. The content blocks inside each email. And the first steps a new user takes in your product. Each product in this category focuses on one of those, so you can start where generic messaging hurts most.
- Product recommendations across web and email
- Offers chosen within your margin rules
- Email content blocks for each recipient
- Onboarding adapted to role and goals
Which product matches your goal?
Stores looking to lift basket size usually start with AI Product Recommendation Personalization. If discounts are eating margin, AI Offer Personalization picks the right offer for each customer while staying inside the margin rules you set. AI Email Personalization fits teams whose campaigns go out to everyone with the same copy. Software companies with mixed user types tend to pick AI Personalized Onboarding, which adapts onboarding to each user's role and goals.
Questions buyers ask
Will offer personalization give away too much?
AI Offer Personalization works within margin rules, and those rules come from you. It chooses which offer suits each customer, but only from what you allow. The Scope Card records the boundaries before anything is built, so finance and marketing can agree on them upfront.
Do we need a lot of customer data to begin?
You need enough history for the system to tell customers apart, such as past orders, browsing or role details. The Scope Card lists what data each product uses. If your records are thin, it is worth starting with the product that relies on data you already collect well.
How is this different from the store recommendation engine?
The AI Recommendation Engine in the Ecommerce category has native editions for specific store platforms. AI Product Recommendation Personalization in this category focuses on personalizing suggestions across both web and email. Compare the two Scope Cards side by side to see which matches your stack and goals.
Choosing between Offers & Recommendations products?
Tick Compare on up to four products to see scope, price and delivery side by side. If you would rather talk it through, an expert can help you pick the one that fits how you work.