Skip to main content
Type-based recommendations let you classify customers into named categories — such as skin types, hair types, or lifestyle personas — and then recommend the products that match their category. Instead of linking answers to products directly, answers vote for result types, and the type with the most votes determines the recommendation.

​
How It Works

Type-based recommendations work in three stages:
  1. You define named result types. These are the categories your quiz can produce — for example, “Oily Skin”, “Dry Skin”, “Combination Skin”, or “The Adventurer”, “The Homebody”, “The Achiever”.
  2. Answers vote for types. Each answer option is configured to vote for one result type. When a customer selects an answer, their vote is added to the running tally for that type.
  3. The winning type determines the recommendation. When the quiz ends, Quizify counts the votes for each type and identifies the winner — the type with the most votes. The products linked to that type are shown on the result page.

​
Named Result Types: The Core Concept

Result types are the foundation of this recommendation model. You create them yourself, giving each type a name and linking it to the products that suit customers in that category. Common examples of result types include:
  • Skin types — Oily, Dry, Combination, Sensitive, Normal
  • Hair types — Fine, Thick, Curly, Colour-Treated
  • Lifestyle personas — Active, Relaxed, On-the-Go, Health-Focused
  • Experience levels — Beginner, Intermediate, Advanced
Each type has its own set of product recommendations. When a customer’s answers vote them into a type, they see that type’s products on the result page.

​
How Ties Are Resolved

If two result types receive the same number of votes at the end of the quiz, Quizify uses a tiebreaker. By default, the type that appears first in your type list is used as the winner in a tie. You can manage the order of your result types in the quiz editor to control which type takes priority if votes are equal.

Design your quiz questions to minimise the chance of ties. Using an odd number of questions that each vote clearly for one type helps produce more decisive results.

​
When to Use Type-Based Recommendations

Type-based recommendations are best for quizzes where the goal is to classify the customer into a well-defined category before showing them products. Good candidates include:
  • Skin or hair diagnostic quizzes where each customer type needs a different product routine
  • Personality or lifestyle quizzes that guide customers to a product range that suits their profile
  • Any quiz where the outcome is a named identity (“You’re an Oily Skin type”) rather than a raw score

​
How It Differs from Score-Based Recommendations

Both type-based and score-based recommendations build up a result from multiple answers, but they do so differently. If you want to tell a customer “You are this type” and show matching products, use type-based recommendations. If you want to assess “how much” of something a customer needs based on a cumulative score, use score-based.