Personalized product recommendations that actually convert
Match every visitor with their perfect offer based on quiz results, on-site behavior, and what you already know about them. Recommendations that feel specifically chosen for each person.
What makes a recommendation engine effective?
The best recommendations feel earned, not random. When someone completes a quiz or shares their situation, the product you recommend should be the obvious next step. RightMessage lets you build recommendation logic using quiz results, behavioral data, lead scores, and subscriber segments from your email platform.
Stop showing everyone the same offer
When visitors see products specifically matched to their needs, conversion rates climb. Generic offers waste your traffic.
The Wrong Way
The
Way
Recommend based on quiz and survey results
Turn quiz completions into perfectly matched product recommendations
Personalized results pages that convert
Quizzes and surveys reveal exactly what each person needs. RightMessage uses those answers to recommend the perfect product, course, or service on a personalized results page.
When someone finishes your quiz, they see a results page that explains why this specific offer is right for them. The recommendation feels earned because it is based on what they just told you. See how quiz funnels drive higher conversions.
Route to the right offer based on answers
Someone who indicates they are a beginner should not see your advanced masterclass. Someone ready to buy should not see your free starter course.
Build branching logic that routes quiz completers to different recommendations based on their answers. Beginners get your starter product, intermediates get your main offering, advanced users see your premium tier.
Recommend based on behavior and profile data
Not everyone takes your quiz, but you can still match them to the right offer
Match visitors to offers automatically
RightMessage can match visitors to the right offer using what you already know. Their industry, their role, pages they have viewed, content they have consumed, and data from your email platform.
Returning visitors see recommendations based on their browsing history. Email subscribers see offers based on their segments. Every touchpoint contributes to smarter recommendations.
Route by lead score
High-value leads deserve high-touch offers. RightMessage scores visitors based on their behavior and attributes, then routes them accordingly.
Hot leads get invited to a sales call. Warm leads see your mid-tier product. Cold leads get nurtured with free content. Learn more about lead scoring strategies.
Sync recommendations with your email platform
Consistent recommendations across your website and email sequences
Recommended product becomes a custom field
The recommendation they see on your website should match what they receive in email. RightMessage syncs everything to your email platform as custom fields.
Recommended product, lead score, quiz results - all available for your email automations and sales sequences. Your follow-up emails can reference the exact product you recommended on site.
Personalize emails based on recommendations
When someone completes a quiz, their recommended product syncs immediately. Your email automation can reference that recommendation and continue the conversation.
See how email personalization creates a seamless experience across channels.
Ready to build personalized recommendations?
Start your free trial and match every visitor with their perfect offer.
Frequently asked questions
How does RightMessage determine which product to recommend?
RightMessage uses all available data about a visitor: quiz and survey answers, behavioral signals (pages visited, content consumed), lead scores, email subscriber data, and segment membership. You define the logic in our visual Flow builder. If a visitor matches certain conditions, they see a specific recommendation.
How do quiz results power product recommendations?
Quiz answers reveal visitor needs, preferences, and readiness to buy. When someone completes your quiz, RightMessage stores their answers and uses them to recommend specific products. If they answered that they are a beginner struggling with X, you recommend your course on X. The recommendation feels earned because it is based on what they told you.
Can I recommend different products to different segments?
Yes. The Flow builder lets you create branching logic based on any segment or data point. Beginners see your starter product, intermediate users see your main offering, and advanced users see your premium tier. Each segment gets a recommendation tailored to their needs and readiness to buy.
What data can I use to power recommendations?
You can use data from your email platform (custom fields, segments, purchase history), on-site behavior (pages viewed, content consumed, products browsed), quiz and survey responses, lead scores, and acquisition data (UTM parameters, referral source). The more data points available, the more targeted your recommendations become.
How do recommendations sync with my email platform?
RightMessage syncs the recommended product, lead score, and all underlying data to your email platform as custom fields. This lets you send personalized email sequences that reference the same recommendation they saw on your website, creating a consistent experience across channels.
Do I need coding skills to set up recommendation logic?
No. The visual Flow builder uses drag-and-drop to create recommendation logic. You can build complex decision trees with multiple conditions, but it is all visual. If someone took the quiz AND scored above 80 AND is in the SaaS industry, show product A. All done with clicks, no programming required.
Can I show different recommendations on different pages?
Yes. You can create different recommendation flows for different contexts. Your homepage might show broad recommendations, while a specific product page shows related upsells. Blog posts might recommend content upgrades related to what they are reading. Each context can have its own logic.
What happens if I do not have enough data about a visitor?
You can set default recommendations for visitors without enough data to personalize. New anonymous visitors might see your most popular product while you gather behavioral signals. As they browse, answer questions, or identify themselves, recommendations become more targeted.