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How to use AI Social Monitor for brand managers

#ai #marketing #socialmedia #analytics

KNOWING WHAT THE INTERNET THINKS ABOUT YOUR BRAND IN REAL TIME: MONITORING MENTIONS, SENTIMENT, AND ENGAGEMENT

The Pain of Manual Social Media Monitoring

Every morning, brand managers like Emily spend around 2 hours browsing through 10 different social media platforms, including Twitter, Facebook, and Instagram, to track mentions of their brand, "GreenEarth". She uses tools like Hootsuite and Sprout Social to streamline the process, but still, she has to manually analyze the sentiment of each post, which takes around 30 minutes to an hour. With over 500 mentions per day, this process is not only time-consuming but also prone to errors, resulting in around 10% of mentions being missed.

The Manual Way

To monitor social media mentions manually, one would have to follow these steps:

  1. Set up social media listening tools like Brand24 or Brandwatch, which can take around 1-2 hours.
  2. Create a list of keywords related to the brand, including the brand name, products, and hashtags, which can take around 30 minutes.
  3. Configure the tools to track mentions across different social media platforms, which can take around 1 hour.
  4. Analyze the sentiment of each mention, which can take around 2-3 hours per day.
  5. Compile the data into a report, which can take around 1-2 hours per week. This manual process can take around 10-15 hours per week, which can be costly, especially for large brands with thousands of mentions per day.

How AI Social Monitor Works

AI Social Monitor is an AI-powered social media brand intelligence tool that can monitor mentions, sentiment, and engagement in real-time. It takes in a list of keywords related to the brand, such as the brand name, products, and hashtags, and uses natural language processing (NLP) to analyze the sentiment of each mention. The tool can process over 10,000 mentions per minute, providing a comprehensive report on the brand's online presence. The inputs include:

  • Brand name
  • Keywords
  • Social media platforms
  • Date range The AI engine then analyzes the data and provides outputs such as:
  • Mention count
  • Sentiment analysis (positive, negative, neutral)
  • Engagement metrics (likes, shares, comments)
  • Top influencers and trending topics

Real Example

For example, if we input the following data into AI Social Monitor:

{
  "brand_name": "GreenEarth",
  "keywords": ["sustainability", "eco-friendly"],
  "social_media_platforms": ["Twitter", "Facebook", "Instagram"],
  "date_range": "2022-01-01 - 2022-01-31"
}
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The tool will output a report like this:

{
  "mention_count": 1200,
  "sentiment_analysis": {
    "positive": 800,
    "negative": 200,
    "neutral": 200
  },
  "engagement_metrics": {
    "likes": 5000,
    "shares": 1000,
    "comments": 500
  },
  "top_influencers": [
    "EcoWarrior",
    "SustainabilitySarah"
  ],
  "trending_topics": [
    "climate change",
    "recycling"
  ]
}
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This report provides valuable insights into the brand's online presence, allowing brand managers to make data-driven decisions.

Who Gets the Most Out of This

The following personas can benefit from using AI Social Monitor:

  1. Brand Managers: like Emily, who need to track brand mentions and sentiment in real-time to respond to customer complaints and improve brand reputation.
  2. PR Teams: who need to monitor brand mentions and sentiment to identify potential crises and develop strategies to mitigate them.
  3. Founders: who need to track brand mentions and sentiment to understand customer feedback and improve product development.

Get Started

To try AI Social Monitor, visit https://apify.com/javybar/social-monitor and start monitoring your brand's online presence in real-time with a free trial, which allows you to track up to 100 mentions per day.

AI Social Monitor is available on Apify — try it free.

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