This statistic presents a ranking of the most popular fitness and gym influencers worldwide on Instagram as of May 2020, sorted by the number of followers. According to HypeAuditor, ******************************* was ranked first in the category over *** million followers.

As of September 2020, Mexican actress and fitness enthusiast Bárbara de Regil had over *** million followers on Instagram worldwide. Meanwhile, Danik Michell, also an actress with a love for fitness, had accumulated approximately *** million Instagram followers as of that date.

As of September 2020, Brazilian model and fitness enthusiast Mari Gonzalez had approximately **** million followers on Instagram worldwide. Meanwhile, model Gracyanne Barbosa had *** million Instagram followers as of that date.

The graph illustrates a ranking of the most influential Instagram fitness and yoga accounts in France in March 2020, by number of followers. In March 2020, ***********' Instagram account was the most followed in the French industry, with more than ***** thousand followers. ******************* came in second with ***** thousand, succeeded by adidas with more than ***** thousand French followers.

As of March 2020, Alice Canclini (@alicecanclini) was the rising sport and fitness influencer in Italy recording the highest engagement per post on Instagram. Posts published by this rising Instagram influencer recorded an average of *** thousand likes and comments as of the survey period. Nicol Delago (@nicol_delago) ranked second with an average of *** thousand comments and likes per post.

As of April 2025, the most followed fitness influencer on Instagram was Chris Bumstead, as his profile @cbum had accumulated over ** million followers. Michelle Lewin (@michelle_lewin) ranked second with **** million followers, while Kayla Itsines (@kayla_itsines) ranked third with **** million.

IntroductionSocial media influencers focussing on beauty, fashion, and fitness topics (BFFI) are important opinion leaders on Instagram. Nevertheless, they are criticized for their potential negative influence on their followers' physical and mental health due to their potentially biased self-presentation. Previous research has mainly focused on followers' perceptions of influencers' self-presentation, leaving a gap regarding the influencers' views.MethodThe present survey included 26 female BFFIs from Germany (18–35 years old), with 16 self-reported micro-influencers (10,000–100,000 followers) and ten macro-influencers (>100,000 followers), representing (semi-)professionals in this domain. 17 influencers saw their main focus in the field of fitness, 16 in fashion, and 13 in beauty. The survey included demographic information, open-ended questions, established and self-developed rating scales, and a social desirability assessment to examine the BFFIs' perceptions of their goals, self-presentation, and role model function. Quantitative data was examined via inter-correlation matrix and ANOVA, and qualitative data was analyzed via an established approach for qualitative content analysis.ResultsInfluencers pursue mostly self-realization (50% of participants gave at least one related answer) and commercial goals (50%). While they generally perceive their self-presentation as authentic (84.6%) and positive (76.9%), they still see room for improvement in content creation (61.5%) and self-presentation (30.8%). Fear of negative feedback, absence of positivity and motivation, wrong cooperation partners (30.8% each) and insecurity (23.1%), among others, may lead to a less authentic self-presentation and use of picture editing. The tendency toward socially desirable responses (impression management) is negatively connected to the reported frequency of image editing tools used and attempts to appear authentic. Influencers reported several examples of responsible and irresponsible behaviors and strategies to avoid negative effects on their followers. The type of influencer (micro or macro level) showed a significant effect on the importance attributed to one's own role as an influencer.DiscussionThe complex findings suggest potential conflicts between the influencers' goals and the expectations of followers and cooperation partners. Influencers find themselves in a dual role as users and producers. This results in concrete behavioral challenges for them, but also in implications for established theories of media use.

As of March 2020, Giovanni Fois (@giovanni_fois) was the leading sport and fitness influencer in Italy recording the highest engagement per post on Instagram. Posts published by this Instagram influencer registered an average of **** thousand likes and comments as of the survey period. Letizia Paternoster (@letiziapaternoster) followed in the list with an average of roughly ** thousand comments and likes per post.

Find details of G And G Fitness Equipment Inc Buyer/importer data in US (United States) with product description, price, shipment date, quantity, imported products list, major us ports name, overseas suppliers/exporters name etc. at sear.co.in.

The dataset provides a detailed statistical overview of hashtags, topics, and their frequency distributions. It includes columns for original and lemmatized hashtags, the number of tags, topics, and encoded topics. Frequency distributions are presented in bins, showing the number of instances within specific ranges, such as 336 counts in the 0.00 - 335.50 range and 335 counts in the 335.50 - 671.00 range. Additionally, 7% of the data is missing (null), 1% is unknown (unk), and 92% falls into an "Other" category. Specific ranges, such as 0.00 - 4.00 with 909 counts and 4.00 - 8.00 with 1,059 counts, illustrate the frequency of occurrences within these intervals. The data also categorizes themes, with Fitness and Education each comprising 7%, while 86% is labeled as Other. Further detailed frequency analysis for narrower ranges shows the distribution and prevalence of topics and tags in the dataset.

• hashtags: Original hashtags used in social media posts or content.
• lemmatized_tags: Hashtags that have been lemmatized (reduced to their base or root form).
• number_of_tags: The count of hashtags in a piece of content.
• topic: The subject matter or theme of the content.
• encoded_topic: A numerical or categorical encoding of the topic for analysis purposes.

As fitness studios and entire sports leagues have shuttered to limit the COVID-19 spread, home workouts have gained some popularity in recent weeks. From Instagram fitness challenges, YouTube video producers posting home workouts, to personal trainers taking their classes online, there has been a plethora of new online fitness content for consumers to try out. According to a March 2020 survey, ** percent of adults in the United States had taken to using more online exercise videos due to social distancing and self-quarantining practices during the coronavirus pandemic.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

This dataset tracks influencer marketing campaigns across major social media platforms, providing a robust foundation for analyzing campaign effectiveness, engagement, reach, and sales outcomes. Each record represents a unique campaign and includes details such as the campaign’s platform (Instagram, YouTube, TikTok, Twitter), influencer category (e.g., Fashion, Tech, Fitness), campaign type (Product Launch, Brand Awareness, Giveaway, etc.), start and end dates, total user engagements, estimated reach, product sales, and campaign duration. The dataset structure supports diverse analyses, including ROI calculation, campaign benchmarking, and influencer performance comparison.

Columns: - campaign_id: Unique identifier for each campaign
- platform: Social media platform where the campaign ran
- influencer_category: Niche or industry focus of the influencer
- campaign_type: Objective or style of the campaign
- start_date, end_date: Campaign time frame
- engagements: Total user interactions (likes, comments, shares, etc.)
- estimated_reach: Estimated number of unique users exposed to the campaign
- product_sales: Number of products sold as a result of the campaign
- campaign_duration_days: Duration of the campaign in days

Getting Started with the Data

1. Load and Inspect the Dataset

import pandas as pd

df = pd.read_csv('influencer_marketing_roi_dataset.csv', parse_dates=['start_date', 'end_date'])
print(df.head())
print(df.info())

2. Basic Exploration

# Overview of campaign types and platforms
print(df['campaign_type'].value_counts())
print(df['platform'].value_counts())

# Summary statistics
print(df[['engagements', 'estimated_reach', 'product_sales']].describe())

3. Engagement and Sales Analysis

# Average engagements and sales by platform
platform_stats = df.groupby('platform')[['engagements', 'product_sales']].mean()
print(platform_stats)

# Top influencer categories by product sales
top_categories = df.groupby('influencer_category')['product_sales'].sum().sort_values(ascending=False)
print(top_categories)

4. ROI Calculation Example

# Assume a fixed campaign cost for demonstration
df['campaign_cost'] = 500 + df['estimated_reach'] * 0.01 # Example formula

# Calculate ROI: (Revenue - Cost) / Cost
# Assume each product sold yields $40 revenue
df['revenue'] = df['product_sales'] * 40
df['roi'] = (df['revenue'] - df['campaign_cost']) / df['campaign_cost']

# View campaigns with highest ROI
top_roi = df.sort_values('roi', ascending=False).head(10)
print(top_roi[['campaign_id', 'platform', 'roi']])

5. Visualizing Campaign Performance

import matplotlib.pyplot as plt
import seaborn as sns

# Engagements vs. Product Sales scatter plot
plt.figure(figsize=(8,6))
sns.scatterplot(data=df, x='engagements', y='product_sales', hue='platform', alpha=0.6)
plt.title('Engagements vs. Product Sales by Platform')
plt.xlabel('Engagements')
plt.ylabel('Product Sales')
plt.legend()
plt.show()

# Average ROI by Influencer Category
category_roi = df.groupby('influencer_category')['roi'].mean().sort_values()
category_roi.plot(kind='barh', color='teal')
plt.title('Average ROI by Influencer Category')
plt.xlabel('Average ROI')
plt.show()

6. Time-Based Analysis

# Campaigns over time
df['month'] = df['start_date'].dt.to_period('M')
monthly_sales = df.groupby('month')['product_sales'].sum()
monthly_sales.plot(figsize=(10,4), marker='o', title='Monthly Product Sales from Influencer Campaigns')
plt.ylabel('Product Sales')
plt.show()

Use Cases

• ROI Analysis: Quantify the return on investment for influencer campaigns across platforms and categories.
• Campaign Benchmarking: Compare campaign performance by type, influencer niche, or platform.
• Trend Analysis: Track engagement, reach, and sales trends over time.
• Influencer Selection: Identify high-performing influencer categories and campaign types for future partnerships.

Weekly statistics showing how many Wahoo Fitness coupon codes were verified by the CouponBirds team. This dataset reflects real-time coupon validation activity to ensure coupon accuracy and reliability.

Abstract Introduction Post-COVID-19 syndrome is characterized by chronic fatigue and myalgia, among other symptoms, which can limit activities of daily living. Physical therapy protocols with multicomponent exercises combine strength, resistance, balance and gait, producing sig-nificant improvements in functional mobility. Objective Evaluate whether multicomponent rehabilitation is effective in improving functional mobility and quality of life in individuals with post-COVID-19 syndrome. Methods Randomized controlled trial with 59 volunteers, divided into an intervention (IG) and control group (CG), all of whom underwent initial assessment (T0). The IG performed 24 sessions over 12 weeks and the CG did not undergo training. Functional mobility was analyzed using the 6-minute walk test (6MWT) and the Berg balance scale, while the SF-36 questionnaire assessed quality of life. Results In the 6MWT, the IG covered 464.40 + 81.26 meters (T0) and 518.60 + 82.68 meters (T4). The IG Berg scale scores were 48.00 + 4.00 (T0) and 51.90 + 4.26 (T4). In terms of quality of life, the IG obtained mean scores of 96.26 + 10.14 (T0) and 102.60 + 5.53 (T4). None of these measures was statistically significant. Conclusion Individuals who underwent the multicomponent phys-iotherapy protocol showed statistically nonsignificant increases in the variables studied.

Ranking of the dataset attributes based on their Information Gain (IG).

This statistic displays the most popular social media platforms used by members of fitness clubs in New Zealand in 2014. During the survey, around ** percent of respondents currently holding a fitness club membership in New Zealand used Instagram as a form of social media.

As of May 2019, Quang Dang was the leading fitness influencer in Vietnam with almost *** thousand fans on Facebook. Quang Dang is active as a dancer, choreographer, actor, pianist and entrepreneur who is based in Ho Chi Minh City. He gained popularity after participating in the Vietnamese TV dance competition So You Think You Can Dance. Fitness influencers in Vietnam Another popular fitness influencer is Hana Giang Anh who was nominated for Asia’s Top Health/Fitness Influencer 2017. She has gained a strong YouTube fan base, with over *** thousand followers, by posting videos around gym sessions, beauty and especially topics that are taboo or rarely talked about in Vietnamese society. Many of the listed influencers have endorsed brands such as Samsung, YSL, Pond’s, California Yoga and Fitness, Rebook and others. Tracy Le, who ranked seventh, is also called “Gym Queen” among her fans and has the most followers on Instagram. Across Asia, Arda Turan was the most popular Asian athlete on Instagram with over ***** million followers. Social media advertising in Vietnam Influencer marketing has also reached Vietnam. In 2018, ** percent of enterprises used social media as their main online advertising channel. This is especially so for cosmetics, in which*** percent of females refer to beauty influencers to get information on the latest Korean skincare products and trends. With about*** million monthly active social media users and ** million active mobile social media users, the country has surpassed social media usage in Thailand and South Korea. In turn, social commerce has become highly popular among the Vietnamese.

Peloton is a fitness equipment and online subscription company based in New York. Helping users on their fitness journey are Peloton's team of instructors, some of whom have gained celebrity status and a strong following on social media. As of February 2024, Cody Rigsby was the most popular Peloton instructor on Instagram, amassing around *** million followers on the social media platform.

In May 2025, Keep, an app providing online fitness programs, topped in the sports app ranking in China with about **** million monthly active users. The success of Keep based on the combination of the Instagram-style social media and e-commerce functions. Apart from sports enthusiasts benefit from Keep, business brands also promote their sales in the app's own sports store and create social campaigns in the community space. As more Chinese pursue a healthy and active lifestyle, the fitness industry in China is expected to thrive.

As a community-oriented society, it comes as no surprise that chat and social networking apps are widely popular in India. In the third quarter of 2020, about ** percent of Indians used messenger applications, while ** percent of users accessed social networking apps. On the other hand, health and fitness apps along with dating and friendship apps had the lowest user share in the country that year. Facebook’s unparalleled reach in India The two social media giants, WhatsApp and Facebook had the highest number of users in India compared to the world. At the same time, India ranked second in the world in terms of the number of Instagram users. And even though these are different social media platforms, Facebook owns both WhatsApp as well as Instagram, making it the largest stakeholder in India’s social media economy. Facebook-Reliance Jio deal In April 2020, Facebook accounted for over ** percent in India’s mobile social media market. That same month, Facebook announced an investment of over **** billion U.S. dollars for a **** percent stake in Reliance Jio Platforms - India’s biggest telecom operator. This move goes to show that India’s internet market has a tremendous potential, and the world’s biggest social media company is set on making the most of it.