Akbari Perfume: online store for niche perfumes

Akbari Perfume is a Bulgarian niche perfume brand with five stores in Sofia and Plovdiv and an online store at akbariperfume.com. We built the site from the first line of code: Next.js with Payload CMS, where the owner manages products, inventory, promotions and coupons herself, without having to contact us for every change.

The design is dark, with gold accents and large product photos. Each fragrance has a page with its note pyramid (top, heart and base notes), intensity, prices for 50 and 80 ml, and similar fragrances. The catalogue is available in Bulgarian and English, with categories for women's, men's and unisex perfumes, bestsellers, oils and home fragrances.

The brand's commercial rule is “every second 50 or 80 ml perfume at 50% off”, and the store makes it easy instead of explaining it. A second-fragrance selector sits below the order button, adding both fragrances to the cart at once; the cart shows the discount immediately, and the same calculation is used on the product page, in the cart and in the order because the rule lives in one place in the code. Promotional bottles and testers are excluded by definition, while coupons are applied to the already discounted price, so the two discounts never stack accidentally.

Delivery is handled by two couriers, and the customer chooses. Econt works through their official module at a fixed price of 5 EUR. Speedy has no module for custom stores, so we built it entirely on their API: searching for a locality, offices and lockers, delivery to an address, live pricing based on the cart's weight, and a waybill created with one click from the order admin. The module rejects anything Speedy cannot serve: a locality without delivery, a locker the parcel will not fit in, or an address with no price.

Advertising is measured against real orders. Meta Pixel and Conversions API send every event from both the browser and the server, with deduplication; each order stores the campaign and ad it came from, while the Meta product catalogue is generated from the store's own data.

In 2026, we also added the SEO layer: robots and a sitemap with language links, a canonical URL for every page, structured data for the company, its five stores and every product, titles and descriptions for every category, nine guides on the topics people search for when looking for perfume, a questions-and-answers page, a complete English version of the catalogue, and llms.txt for assistants such as ChatGPT and Perplexity.