Multilingual SEO and content localization as a driver of conversion for online art stores
DOI:
https://doi.org/10.5281/zenodo.17489986Keywords:
online art market, cross-language indexing, hreflang, structured data, conversion metrics (CTR, CR, AOV, ATC).Abstract
The article explores how combining multilingual SEO with content localization can increase conversion rates for online art stores across diverse linguistic and cultural contexts. The article aimedto develop a holistic theoretical and methodological framework for increasing conversion by aligning search visibility with page linguistic and cultural clarity, standardizing the presentation of critical artistic attributes, and defining a minimal core of metrics by locale. Methods. An analytical and synthetic review of the literature was applied; a conceptual model of the user path «visibility → comprehensibility → trust → action» was built; lexical and editorial norms for multilingual description of works were systematized; technical requirements (URL structure, language signals, performance, fault tolerance) were standardized; a minimum set of search and conversion indicators with rules of joint interpretation was constructed; all solutions are integrated into the consolidated table of model application. Results. An operational model combining multilingual semantics and indexing signals with locally edited content and trust blocks is substantiated. An editorial framework for the localization of key attributes (technique, material, size/weight, condition, design, provenance, certificate, logistics conditions) has been developed, with requirements for consistency and cross-linguistic consistency. A minimum core of metrics by locale (shows, clicks, CTR, CR, AOV, ATC; additionally, depth of views, refusals, time to purchase) and shared reading rules are proposed to distinguish content, UX, and technical reasons for deviations. The technical requirements for a multilingual implementation capable of supporting transaction completion during peak periods are outlined, and a summary table aligns the model stages with SEO levers, editorial rules, trust attributes, technical conditions, KPIs, and diagnostics. Conclusions. The proposed framework provides a sequence of design and evaluation for the multilingual presence, from selecting semantics and a glossary to standardizing pages and regularly reviewing metrics in each locale. Goal achieved: A model, attribute rules, and a core set of metrics that combine SEO efforts with conversion and enable market comparisons have been agreed upon. Prospects for further research include quantifying the impact of localized authenticity attributes and logistics formulations on conversion across different cultural contexts and refining thresholds for key metrics.
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