Research
Digital Behavior
Behavior Index
Articles Based on Proprietary Data
FMCG
2026
Gobal
Social Media Activity and Consumer Trends
How discussion in social media affects search and purchasing activity across product and service categories
Segment Analysis
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Abstract
This study examines how social media events influence search and purchasing activity across diverse product and service categories. Analyzing approximately 270 million social media mentions of 39 global brands over 24 months (December 2023 – November 2025), the research identifies the intensity of expression as the critical mediating variable between social media activity and measurable consumer behavioral response.

Media-Driven Consumer Trends:
How Social Media Buzz Influences Purchasing Activity Across Product and Service Categories

Every marketing professional can recall facts or myths about viral social media events supposedly making or breaking a business. However, it's often unclear whether this conventional wisdom is artificially crafted by PR campaigns or simply stems from speculation based on incomplete data. The field lacks rigorous, objective studies—not commissioned to serve a specific brand's interests—that attempt to draw reliable, generalized conclusions. For marketers and brand reputation specialists, understanding the precise patterns, magnitude, and nature of media events' impact on target audience search and purchasing behavior would be invaluable for shaping corporate communications. Furthermore, there is a significant shortage of global, cross-cultural research to help brands adapt successful strategies to new markets while accounting for local nuances. These considerations formed the foundation for our Institute's large-scale, multi-category study.
Research Hypothesis:
Surges (or peaks) in brand mentions should correlate with increased demand for its products or services. This could range from a rise in search query frequency (as the most readily available metric) to, ideally, an increase in actual consumer demand—the latter being provable only with access to open-source market data.
Study Design:
We analyzed over 2 million mentions of 39 global brands across a 24-month period (December 2023 – November 2025).

Search query statistics are provided by services on a monthly basis; therefore, a single month was selected as the unit of time (t).

Brands were selected based on the presence of significant mention peaks (or viral spikes) during the specified period. This selection itself relied on standard deviation statistics.

Approximately 68% of observations fall within ±1 standard deviation; therefore, values outside this interval were considered deviations from normal behavior.

On average, each brand exhibited about 2 such peaks.

Examples of peaks:

  1. Sydney Sweeney’s American Eagle jeans ad: July 2025
  2. Jet2 Holiday viral sound: July 2025
  3. SKIMS’ Bush Hair Thong: Oct 2025
  4. Kylie Cosmetics’ King Kylie revival: Oct 2025
  5. Cracker Barrel’s rebranding backlash: Aug 2025
  6. Pop Mart’s Labubu Craze: April 2024

Examples of correlations:
Labubu SKIMS American Eagle
This correlation may manifest either at time t0 (almost simultaneously) or at time t+1 (with a certain delay).
Methodology Stages:
  1. Initial data collection was conducted across major social networks and user-generated content platforms: TikTok, YouTube, Instagram, and Medium.
  2. Identification of articles, videos, and other content summarizing the most significant viral moments and scandals (e.g., brands that went viral in 2024/2025, controversial brands of 2024/2025, brand scandals in 2025).
  3. Collection of search query frequency data over the past two years (December 2023 – November 2025) using system of monitoring.
  4. Gathering more extensive social media mention data using the system of monitoring tool for the same two-year period (December 1, 2023 – November 30, 2025). This stage focused on identifying mention peaks for an expanded list of brands.

All brands in the study were categorized using a traditional framework—grouped into broad categories of goods, service sectors, and consumer experience domains.
Category Types of brands # current
Entertainment Entertainment agency, Streaming service, Persona 3
Travel Airlines, Hotel 3
Food Desserts, Pre-made food, Restaurant 4
Service Marketplace, Data solution, Apps 4
Appliance Cooking appliance, Styling appliance 5
Clothes Underwear, Sportswear, Denim, Shoes 6
Accessories & Decor Bag accessories, Eyewear, Toys/Decor, Watches, Cups, Jewelry 6
Cosmetics Skincare, Makeup 8
Articles Based on Proprietary Data
Analysis based on proprietary monitoring of social networks, search queries, and commercial data sources. Provide current information about real trends in consumer behavior.
Articles Based on Open-Source Data
Research utilizing publicly available sources: public social networks, press releases, official statistics, and open datasets. Enable reproducible analyses available for independent verification.
Articles of a Scientific-Conceptual and Methodological Nature
Theoretical works, methodological guides, and conceptual frameworks. Form the foundation for understanding digital behavior and reputational risks independent of specific data sources.
Classification
ICDS Article Typology
01
02
03
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