The content presented in this article is intended solely for academic purposes. The opinions expressed are based on my personal understanding and research. It’s important to note that the field of big data and the programming languages discussed, such as Python, R, Power BI, Tableau, and SQL, are dynamic and constantly evolving. This article aims to foster learning, exploration, and discussion within the field rather than provide definitive answers. Reader discretion is advised.

To achieve this, the strategy combined high-intent interest targeting—specifically food and drink audiences—with a goal optimized for post engagement. As a result, the campaign generated 715 total views, reached 646 unique users, and drove 181 meaningful interactions, including likes, comments, and shares.

When analyzing demographic performance, the 35–44 age group emerged as the strongest engagement driver. While younger segments showed moderate growth and older segments maintained stable interaction, this middle-age bracket delivered the highest response rate.

Therefore, it represents the campaign’s primary performance sweet spot.In terms of delivery behavior, mobile clearly dominated performance. Over 95% of engagement occurred on mobile devices, with Facebook Feed accounting for the majority of placements, followed by Facebook Reels and Instagram Feed.

Geographically, engagement was concentrated in high-population states. California led with 11% of total engagement, followed by Florida at 8.3% and Texas at 6.6%.

Consequently, the data suggests stronger resonance in large, urban markets where food culture and digital consumption intersect.

Overall, the article highlights a clear pattern: interest-based targeting combined with mobile optimization and algorithmic delivery expansion resulted in concentrated engagement among mid-age urban audiences.

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