Reverse-Engineering the Sale: Why Outcome Based Recommendations Fill the Critical Gap in Guided Selling
- Mar 8
- 4 min read
Most product quizzes upvote (and in some cases exclude) products based on responses to quiz questions. This is a time tested and highly effective approach to building product quizzes. However, it does not always align with how merchants segment customers and manage their stores.
Outcome based recommendations allow a merchant to start with certain segments (or outcomes) and use the quiz builder to maneuver prospective customers into the right segment based on all the interactive and branching logic features available with Visual Quiz Builder. They also allow the merchant to create score-based quizzes that segment customers into different categories based on how they score in the quiz. Here are some real life examples of outcome based quizzes:
Score Based Outcome Examples | Personality-Based Outcome Examples |
1. Mattress Store Quiz a. 0–6 points → Plush Pressure Relief b. 7–12 points → Balanced / Medium Comfort c. 13–18 points → Firm Support / Back Alignment d. 19–24 points → Cooling + Support Specialist | 1. Ayurvedic Beauty or Wellness Store a. Vata b. Pitta c. Kapha |
2. Skincare Store a. 0–5 → Sensitive barrier repair b. 6–10 → Acne/oil control c. 11–15 → Brightening/pigmentation d. 16–20 → Firming/anti-aging | 2. Fragrance Store a. Fresh & Clean b. Warm & Cozy c. Earthy & Grounded d. Bold & Magnetic |
⇒ Quiz takers earn a score that places them in one of the above score outcomes and products / regimens / pages associated with that score outcome are recommended. | ⇒ Quiz takers earn a score for each of the above personalities and the highest scoring personality is the primary personality outcome. Products / regimens / pages associated with the primary personality outcome are recommended. Products / regimens associated with the secondary personality outcome can also be referenced in result pages or recommended under the Upsell products section of the result page. |
Two Ways to Calculate the Right Result
Visual Quiz Builder supports two distinct outcome engines. Each one suits a different type of product category and customer journey.
There's no universal "better" option here — the right choice depends on whether the merchant is solving a technical problem (score-based) or a lifestyle one (personality-based).
Score-Based Outcomes: Built for Precision
Score-based logic assigns a numeric value to every answer. At the end of the quiz, the system adds up the total and places the customer within a predefined range — say, 10–18 points for "Combination Skin" or 19–26 for "Oily." Along with pre-defining the score-based outcomes, the quiz builder predefines product / variant / collection / page recommendations for each score segment.
What makes this feature doubly powerful is the ability to assign negative scores for answers and exclude products / variants / collections / pages based on individual answers. For example, an answer flagging high skin sensitivity can be used to exclude "Brightening Serum" for a customer whose score outcome would otherwise have resulted in Brightening Serum being recommended.
Personality-Based Outcomes: Built for Lifestyle Matching
Personality-based outcomes work differently. Instead of one running total, the system tracks points across several categories simultaneously. The category with the highest score becomes the primary outcome based recommendation.
An Ayurvedic wellness brand, for example, might build a dosha quiz where each answer contributes to Vata, Pitta, or Kapha. A customer finishing with 14 Pitta points, 9 Vata, and 3 Kapha gets routed to the Pitta outcome — along with an available secondary result (Vata) that can be used for upsell logic on the result page.
This approach works especially well for fragrance, wellness, food, and fitness — anywhere that "who you are" shapes what you need.
What This Looks Like in Practice: A Real-World Example
Fragrance is one of the hardest categories to sell online. Scent is subjective, personal, and nearly impossible to communicate through product descriptions alone. Noteworthy Scents tackled this with a Visual Quiz Builder quiz that uses outcome based logic to map shopper preferences — mood, occasion, scent family affinity — to specific fragrance personalities.
The result is a guided experience that feels consultative rather than algorithmic. Customers don't just get a product recommendation; they get a result that reflects how they actually answered. That distinction matters for conversion, and it matters even more for returns.
Merchant Setup: Simpler Than It Looks
With outcome based logic, the workflow is:
Assign point values to each answer option
Define score ranges or personality categories
Attach products, collections, or variants to each outcome
Visual Quiz Builder also exposes new native variables — Score Outcome Name, Score Outcome Total Score, Primary Personality Outcome Name, and Secondary Personality Outcome Name — directly in the Shopify editor. Merchants can pull these values into the result page copy without touching any code.
Multiple Result Pages: One Quiz, Many Experiences
A single result page with personalization features like AI headings and dynamic headings is functional. But it stops short of complete personalization. With Outcome based Recommendations, Visual Quiz Builder lets merchants build distinct landing pages for each customer segment.
A skincare brand might want the "Sensitive Skin" outcome to land on a page centered around ingredient transparency, while the "Oily Skin" outcome leads with pore-minimizing claims. These aren't just messaging preferences — they're completely different designs targeted at hyper personalizing and converting a potential customer.
New result pages automatically inherit the styling of the default theme, keeping branding consistent even as the number of outcomes scales. The assignment rule is simple: one outcome per result page, with no exceptions. A single result page can host multiple outcomes, but an outcome cannot be split across pages.
Frequently Asked Questions
What's the difference between score-based and personality-based outcomes?
Score-based tracks one total number and places users in a numeric range. Personality-based tracks multiple categories at once and recommends whichever scores highest.
Can an outcome be assigned to more than one result page?
No. Each outcome belongs to exactly one result page. Multiple outcomes can share a page, but an outcome cannot be duplicated across pages.
How does this reduce return rates?
Products only appear in outcome based recommendations when a customer's score falls within a tested range. Incompatible products are filtered out before the result page loads.
Can negative numbers be used in scoring?
Yes. Negative values are supported and particularly useful for disqualifying outcomes — for example, reducing a "Brightening" score when a user reports high sensitivity.
