THE AGE OF ALGORITHMS: HOW TO DEVELOP AN SMM STRATEGY THAT WON’T BE IGNORED IN 2026
DOI:
https://doi.org/10.31891/mdes/2026-22-3Keywords:
SMM strategy, social media, algorithmic ranking, content marketing, digital marketing, behavioral metrics, artificial intelligenceAbstract
This article examines the formation of a social media marketing strategy within the algorithm-driven digital environment of 2026. The relevance of the topic is determined by the transformation of social platforms, which increasingly replace chronological content display with algorithmic ranking. As a result, marketing communication is changing, since content visibility now depends not only on quality but also on behavioral indicators such as engagement rate, watch time, comments, shares, saves, and user interactions.
The article identifies the key components of an effective SMM strategy: goal setting, KPI definition, audience analysis, content planning, engagement management, and analytical support. Content is considered the central element of the strategy, as it influences audience perception and serves as a factor in algorithmic ranking. The study emphasizes that successful SMM in 2026 requires content that is informative, visually attractive, and capable of generating behavioral signals interpreted by algorithms as indicators of relevance and value. Particular attention is paid to the transition from intuitive social media management to a systematic, data-driven approach. This approach involves analytics, adaptation of content to each platform, and regular optimization based on performance results. The article argues that an SMM strategy in 2026 should be viewed as a dynamic system that responds to changes in user behavior and platform algorithms.
Further research may focus on artificial intelligence in content creation, personalization, audience behavior prediction, and automation of SMM processes. The practical value of the study lies in applying its findings to develop flexible digital marketing strategies.
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Copyright (c) 2026 Валерій БОНДАРЕНКО, Інна ЛЕВИЦЬКА, Олександр ОМЕЛЬЯНЕНКО

This work is licensed under a Creative Commons Attribution 4.0 International License.


