MONETIZING SOCIAL MEDIA: OLS ESTIMATES OF CONTENT INTENSITY, ENGAGEMENT, AND ADVERTISING ON SALES

##article.authors##

  • Majidov Abdulaziz Abdurahimovich Director of the Marketing Department, O‘zsanoatqurilishbank

DOI:

https://doi.org/10.55439/INS/vol2_iss4/317

##article.subject##:

social media marketing; Reels/Shorts; engagement; advertising spend; sales response; OLS

##article.abstract##

We quantify how social-media activity translates into sales using ordinary least squares (OLS) on weekly brand-level data. The model relates sales to
content intensity (posts), content format (Reels/Shorts share), live-stream activity, user engagement, and advertising spend. Results show all drivers are positive and statistically significant: additional posts, higher Reels share, and live weeks are associated with sizable increases in sales, while engagement and ad spend provide strong incremental lift. Partial-regression diagnostics confirm independent contributions with modest multicollinearity (Mean VIF ≈ 2.9). Robustness with Newey–West errors yields consistent inferences. The findings offer actionable guidance on allocating content effort and budget to maximize monetization.

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##submissions.published##

2025-09-01

How to Cite

Majidov Abdulaziz Abdurahimovich. (2025). MONETIZING SOCIAL MEDIA: OLS ESTIMATES OF CONTENT INTENSITY, ENGAGEMENT, AND ADVERTISING ON SALES. Insurance Market of Uzbekistan, 2(4), 16–19. https://doi.org/10.55439/INS/vol2_iss4/317

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Investments and investment activity