Match every visitor with their perfect offer
Stop recommending the same product to everyone. RightMessage uses quiz results, behavior data, and lead scores to automatically suggest the offer most likely to convert each visitor.
Recommend based on quiz and survey results
Quizzes and surveys reveal exactly what each person needs. RightMessage uses those answers to recommend the perfect product, course, or service.
Show personalized results pages that explain why this specific offer is right for them. The recommendation feels earned, not random.
Match visitors to offers automatically
Not everyone takes your quiz. RightMessage can still match them to the right offer using what you do know: their industry, their role, their behavior on your site.
Beginners see your starter course. Advanced users see your premium offering. Everyone gets a recommendation that makes sense.
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 until they're ready.
Sync recommendations with your email platform
The recommendation they see on your website should match what they receive in email. RightMessage syncs everything to your email platform.
Recommended product, lead score, quiz results - all available as custom fields for your email automations and sales sequences.
Build sophisticated offer logic visually
Complex recommendations don't require complex code. Our visual Flow builder lets you map out your entire recommendation logic.
If they took the quiz and scored high, show product A. If they're a returning visitor who viewed pricing, show product B. All drag-and-drop, no programming required.
From random offers to perfect matches
When visitors see offers that feel specifically chosen for them, conversion rates soar. RightMessage makes personalized recommendations automatic.
The Wrong Way
The
Way
Frequently asked questions
How does RightMessage determine which offer 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.
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 is lead scoring and how does it affect recommendations?
Lead scoring assigns point values to visitor behaviors and attributes. Visiting the pricing page might add 25 points, downloading a case study adds 20, being in a target industry adds 30. RightMessage calculates scores automatically and can route high-scoring leads to sales calls while lower-scoring leads see self-serve options.
How do quiz results power recommendations?
Quiz answers reveal visitor needs, preferences, and readiness. When someone completes your quiz, RightMessage stores their answers and can use them to recommend specific products. If they answered that they're a beginner struggling with X, you recommend your course on X. The recommendation feels earned because it's based on what they told you.
Can recommendations sync to my email platform?
Yes. 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's all visual—no programming required. If someone took the quiz AND scored above 80 AND is in the SaaS industry, show product A. All done with clicks.
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're reading. Each context can have its own logic.
What happens if I don't 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.
Ready to convert more of your traffic?
Two ways to get started:
