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📚Genre + audience targeting
Every card states genre, age (12+/YA/adult), and reader profile — replaces vague 'interesting book' copy.
Revenza writes book cards with genre, age rating, cover type, and edition year — so buyers stop asking 'is this Ukrainian or English?'
Sound familiar?
Descriptions copied from back cover with no genre, no age targeting (12+/YA/adult), no answer to 'who is this for'
Revenza generates structured cards with genre, audience, age rating, and a clear 'who should read this' line
Language of edition missing — buyers email asking if Harry Potter is Ukrainian, English, or Polish
Language of edition is detected from ISBN/УККП and stated in the first paragraph and meta
Cover type (hard/soft/gift) and format (A5/A4) absent, but they decide whether someone buys it as a present
Cover type and format are pulled from your feed and surfaced as buyer-facing benefits, not hidden attributes
Edition year not shown for non-fiction — a 2010 investing book and a 2024 one have very different value
Year of publication is mandatory in non-fiction templates with context (e.g., '2024 edition, post-rate-hike data')
1000-100000 SKUs and one editor: new arrivals sit with empty descriptions for weeks
Bulk processing: 2000+ SKUs per run, multilingual output for OpenCart language modules
Yakaboo, Chytanka, and Bookclub rank above you because their cards have structured metadata and yours don't
SEO Title and Meta Description filled in OpenCart's SEO tab with long-tail queries Yakaboo doesn't target
What Revenza does every day
1000
products in 1 hour
5¢
per description (Pro)
9
platforms supported
6
languages, one click
Face cream, moisturizes skin. Volume 50 ml. Brand: XYZ. Ingredients: water, glycerin…
Nourishes and restores your skin overnight. Formula built on 3% hyaluronic acid + argan oil. Visible results in 7 days.
API key or feed import (Google Books, Rozetka XML, Prom.ua). Revenza reads ISBN, УККП, and existing attributes.
Fiction, non-fiction, children's, textbooks — each has different required fields (age rating vs. edition year vs. curriculum).
First 50 cards in ~10 minutes. Approve a sample, then run the full 1000-100000 SKU batch overnight.
Descriptions, SEO Title, and Meta Description sync per language. Fair Use respected — no >10% text excerpts.
Every card states genre, age (12+/YA/adult), and reader profile — replaces vague 'interesting book' copy.
Reads ISBN and УККП to label Ukrainian, English, or Polish editions clearly in title and first sentence.
Cover type (hard/soft/gift) and format (A5/A4) written as benefits — drives Nov-Dec gifting conversions.
Non-fiction templates require year and explain why it matters: relevance of data, updated laws, new foreword.
Fills the WYSIWYG description, plus SEO Title and Meta Description in the SEO tab. Multilingual per language module.
Reads Google Books Feed, Rozetka.ua XML, and Prom.ua 'Книги' format. No manual CSV mapping.
ISBN is read from your feed or attributes and used to verify edition, language, and publisher. For Ukrainian commercial editions, УККП is added as a structured field. If a book lacks ISBN, Revenza flags it for manual review instead of guessing.
No. Revenza writes original synopses based on bibliographic metadata and public reviews. Cover images and short quotes fall under Fair Use, but we never copy more than 10% of the original text — that's the legal threshold in Ukraine.
Yes, and it targets queries they miss. Revenza uses long-tail combinations like 'YA fantasy Ukrainian hardcover 2024' that big players underuse, giving smaller shops a ranking window.
Yes. OpenCart's language modules each get a separate description, SEO Title, and Meta Description. You can run Ukrainian and English in one batch — useful if you sell imported English editions alongside translations.
Revenza writes descriptions, not prices. But it knows books in Ukraine have been VAT-exempt (0%) since 2022, so it won't generate misleading 'price includes VAT' copy that confuses buyers.
Roughly 8-12 hours for full generation, depending on template complexity and language count. You can run it once for the backlog, then on a daily cron for new arrivals — peak load handled before September and November rushes.
Back-to-school and gift season add 60% of yearly revenue. Get every SKU described with language, format, and audience — in days, not months.