Prepared for Alicia and the AERANGIS team
A guided scent memory finder for AERANGIS
Helping shoppers move from mood, memory, and gifting intent to the right candle, gift-set waitlist, or bespoke inquiry.
Catalog fit
Signature, Gift Waitlist, Bespoke
First launch
3 paths, no store rebuild
Primary metric
Product click + bespoke inquiry
Prepared as a private proposal
This page is written for Alicia and the AERANGIS team after reviewing the brand language, product stories, gift sets, and Bespoke route.
Email-first next step
No meeting is needed at this stage. If the idea is useful, Alicia can reply and Sam will send the one-page build spec in the same thread.
Small Shopify pilot
The first version can run as an embedded section or guided page without redesigning the store, changing checkout, or permanently editing catalog structure.
The opportunity
Help shoppers choose by memory, not just category
AERANGIS already gives each product a vivid scent world. FragranceFinder can make that language interactive while respecting inventory, gifting uncertainty, and the value of Bespoke inquiries.
Flow 01
Find your scent memory
For shoppers choosing a candle for themselves.
Flow 02
Make gifting feel personal
For shoppers who need confidence, not just a product grid.
Flow 03
Preserve a meaningful moment
For shoppers who may be ready for AERANGIS Bespoke.
Inventory-aware recommendation
Sold-out gift sets become useful states, not dead ends.
A polished demo should notice when gift sets are unavailable. The flow can show a single-candle match, join-waitlist action, and similar scent path instead of recommending one sold-out item as the only answer.
Bespoke lead value
Some answers should route to a consultation, not a cart.
Weddings, milestones, corporate signature scents, and larger quantities are higher-intent signals. The quiz can collect the memory, quantity, and scent feel before handing the shopper to AERANGIS Bespoke.
Interactive prototype
A realistic guided selling flow Alicia can test
This front-end prototype now handles three paths: personal scent discovery, gift confidence, and Bespoke inquiry routing. The final version would connect the same states to Shopify catalog data and analytics.
Shopper path
Choose the right kind of guidance
What is the shopper trying to solve?
Which scent texture feels closest?
How should the recommendation be framed?
Pilot shape
Production-ready enough to test, light enough to launch quickly
The first version can stay curated and elegant. What matters is that the logic feels honest: real scent language, real inventory states, gift confidence, and a route for higher-value Bespoke interest.
Step 01
Map catalog and inventory rules
Connect scent families, gift-set availability, waitlist states, and fallback recommendations before the quiz goes live.
Step 02
Route high-intent stories to Bespoke
When answers sound like a wedding, milestone, or business scent, collect quantity and event context instead of forcing a product match.
Step 03
Measure shopper intent
Segment by path, scent texture, gift risk, product recommendation, waitlist interest, email capture, and bespoke inquiry starts.
Commercial analytics
The quiz should explain what shoppers want.
Alicia should see that this is not only a front-end widget. It becomes a merchandising, email segmentation, and product planning signal.
Gift path clicks
Which scent stories create confidence for shoppers buying for someone else.
Fallback interest
How often sold-out gift sets still turn into candle clicks, waitlist joins, or saved matches.
Bespoke intent
Which memory prompts, quantities, and occasions are worth routing to consultation.
Suggested next step
If this feels close, I can send a one-page build spec.
It would show the practical pilot plan Alicia can evaluate with ecommerce or marketing before touching the live store. No call is needed for this step; a reply is enough.