Shopify Candle Product Descriptions: Filling the Scent Gap

A home fragrance merchant imports 200 soy wax candles from an Australian artisan supplier. The supplier's spreadsheet has product names, weights, burn times, and prices. No scent descriptions. No fragrance notes. No mood, occasion, or sensory context. Every product goes live with the same format: "French Lavender Soy Candle, 300g, 55hr burn." Customers who shop for candles based on scent experience (what the candle smells like, what room it suits, what mood it creates) have nothing to work with. They leave.

This is the gap that supplier data creates for shopify candle product descriptions: the physical facts transfer cleanly from the spreadsheet, but the sensory copy that converts fragrance shoppers does not exist in supplier files and cannot be inferred from a product name alone.

Why Specifications Don't Convert Fragrance Shoppers#

A candle customer is not evaluating the product the way a buyer evaluating a storage container does. They are not asking: "Is this the right size? Will it hold enough?" They are asking: "What will this smell like? Will it make my bedroom smell like a spa? Is it for winding down in the evening or waking up in the morning?"

These questions cannot be answered by specifications. A customer who reads "300g soy wax, 55hr burn, French lavender fragrance" has learned the same facts they already knew from the product name. They have not been told whether the lavender is sharp and herbal or soft and powdery. They have not been told that it suits evening rooms rather than kitchens. They have not been helped to imagine the candle in their home.

According to Shopify's guidance on product page content, product pages should answer the questions customers would otherwise contact support to ask. For fragrance products, those questions are almost entirely sensory. A specification-only page answers none of them.

The gap is not unique to small suppliers. Even large wholesale fragrance suppliers use product names and technical sheets for their internal catalogues. Scent descriptions are a retail-facing marketing asset, not a supply-chain data field. The merchant is responsible for creating them.

Choosing the Right Description Style for Candle Imports#

Importier offers 7 description styles, each optimised for a different type of buyer decision. For fragrance products, two styles are directly relevant.

Sensory-Rich is the primary style for candles and home fragrance. The buyer is evaluating sensory qualities they cannot experience through a screen. The description leads with the sensory experience (what the candle smells like, what mood it creates, what occasion it suits) rather than what it is made of. A French Lavender candle described in Sensory-Rich style becomes: "A soft herbal lavender that opens clean and slightly powdery, settling into a warm floral base as the wax melts. Suited to bedroom and living spaces, particularly evenings. The soy blend holds the fragrance evenly from lighting to the final burn."

Ingredient Spotlight is the secondary style for candle brands where ingredient provenance matters to the buyer. Customers who care about natural waxes, essential oils versus fragrance oils, phthalate-free formulations, or vegan materials respond to descriptions that lead with what the candle is made from and why those choices matter. An essential oil soy candle described in Ingredient Spotlight style leads with the oil source, the wax blend, and the sustainability claim before describing the scent.

The choice between styles depends on what the candle buyer at your store cares about most. A boutique brand selling 100% essential oil soy candles to a wellness audience uses Ingredient Spotlight. A general home fragrance retailer selling a broad range of soy and paraffin blends uses Sensory-Rich. When unsure, Sensory-Rich converts more broadly across candle audiences.

What Sensory-Rich Generates From Minimal Supplier Data#

The Sensory-Rich style can generate a viable candle description from a product name alone. This is important because most supplier spreadsheets provide only the product name as a starting point. Importier's AI draws on the product title, any existing description text, and the persona to infer the scent profile and produce a description that gives fragrance shoppers the context they need.

For a product named "French Lavender Soy Candle," the AI generates a description oriented around what that scent family actually smells like, where it suits, and what mood it creates. It does not invent specifications that were not in the supplier data. It generates the sensory context the supplier data was always missing.

The more supplier data the CSV contains (scent notes, occasion or room suggestions, ingredient details), the richer the AI output. Mapping a "Fragrance Notes" column from the supplier spreadsheet, if one exists, gives the AI additional context that improves output quality significantly.

1. 01
   Import the supplier candle spreadsheet using Importier's import wizard and map product name, weight, burn time, and any scent or note columns available
2. 02
   In the AI Description Settings step, select the Sensory-Rich style and choose a persona that matches your customer

   Lifestyle for general home fragrance, Wellness for spa and mindfulness brands, Homewares for interior-focused audiences
3. 03
   Set the tone to Persuasive for boutique fragrance or Professional for a gift and homeware context
4. 04
   Review the description previews in the Review step

   check that the scent direction matches the product name and adjust the persona if the output feels off-tone
5. 05
   Confirm the import

   all products arrive in Shopify with sensory descriptions already in place

Category Metafields for Fragrance Products#

Sensory descriptions convert fragrance shoppers. Category metafields help those shoppers find the right candle in the first place and give Google Shopping the structured data it needs to surface the product in relevant searches.

Importier's Industry Packs include attribute types for home fragrance products. Running the category metafield fill after the import adds structured attributes to each product including:

• Scent family: floral, woody, fresh, oriental, gourmand, herbal. Enables collection filters like "Shop Fresh Scents" and "Woody Collection."
• Burn time: the numeric burn time as a structured attribute, not just in the description.
• Wax type: soy, paraffin, coconut, beeswax, soy-paraffin blend.
• Wick material: cotton, wood, hemp. Relevant to buyers who have preferences around crackling wicks or clean burns.
• Vessel type: glass jar, ceramic vessel, tin, pillar (no vessel).

According to Google's product data specification for home fragrance, structured attributes improve product data quality for Shopping ads and organic Shopping results. Products with structured scent family and wax type data appear in more specific searches and Shopping filters than products with description text alone.

Running the Description Generator on an Existing Candle Catalogue#

For merchants who already imported their candle products without descriptions, or who imported with a generic Standard description that misses the sensory angle, the Store Scanner handles the refresh.

The Store Scanner's collection or vendor filter targets the candle range specifically. Setting the AI description configuration to Sensory-Rich and the appropriate persona, then running in Replace mode, regenerates every candle description in the collection. A 200-product candle range generates in approximately 8-10 minutes depending on the AI model selected.

After regenerating descriptions, run the category metafield fill on the same collection. This adds the structured fragrance attributes without touching the descriptions that were just generated.

The Sensory-Rich description style article covers more examples of the style in action across different fragrance product types.

“A candle customer is not evaluating a product. They are imagining it in their home. Product descriptions that describe the scent experience rather than the wax weight are the ones that help that imagination happen.

Persona Selection for Different Candle Audiences#

The persona selection shapes the vocabulary and tone of the generated description. Importier offers 156 expert personas across 43 industry categories. For candle and home fragrance merchants, the relevant personas include:

Lifestyle: writes for customers who buy candles as part of their home aesthetic and daily rituals. Vocabulary leans toward ambience, mood, and occasion. Suited to gift candle brands, interior-focused retailers, and general home fragrance stores.

Wellness: writes for customers who associate scent with self-care, stress relief, and mindfulness practice. Vocabulary includes calming, grounding, restorative, energising. Suited to aromatherapy candle brands and spa-product retailers.

Homewares: writes for customers evaluating home scent as an element of their interior design. Vocabulary includes room suitability, decor pairing, and ambient quality. Suited to premium gift stores and boutique homewares retailers.

For wholesale candle merchants selling to gift shops and homewares boutiques rather than directly to end consumers, the Wholesale persona generates B2B-appropriate copy that focuses on product credentials, wax quality, fragrance intensity, and retail appeal rather than personal sensory experience.

The persona does not change what the candle smells like. It changes the lens through which the description describes that experience. A French Lavender candle described through the Wellness persona and the Lifestyle persona will differ in vocabulary and emotional framing even when the underlying scent facts are identical.

Key Takeaways#

• Supplier CSVs for candles contain specifications, not sensory copy. Product names, weights, and burn times transfer from the spreadsheet. Descriptions of what the candle smells like, what mood it creates, and what occasion it suits do not.
• The Sensory-Rich description style is designed for this gap. It generates descriptions oriented around the sensory experience rather than the specifications, using the product name and any available scent data as its source.
• The Ingredient Spotlight style works for ingredient-conscious buyers. Brands selling essential oil soy candles to wellness audiences benefit from descriptions that lead with what the candle is made from and why those ingredients matter.
• Category metafields add structured fragrance attributes. Scent family, wax type, wick material, and burn time as structured metafield attributes enable collection filters, improve Google Shopping data quality, and give AI shopping assistants the structured data to recommend the product accurately.
• Store Scanner regenerates existing candle descriptions in Replace mode. Merchants who imported candles without sensory descriptions can run the Sensory-Rich generator on the candle collection and refresh all descriptions in one operation.

Add sensory copy and structured fragrance attributes to your candle range at importier.app.