Social Diggr

Social Digger is a social listening platform that helps businesses to understand what people are saying about their brand online. Social Digger aggregates data from social media platforms, analyzes sentiment, and identifies common topics and hashtags. This information can be used to improve marketing campaigns, track brand reputation, and identify potential customer problems.

Benefits

• Brand awareness: Social Digger can help businesses to track brand mentions on social media and identify new opportunities to reach potential customers.
• Sentiment analysis: Social Digger can help businesses to understand how people are feeling about their brand, which can be used to improve marketing campaigns and customer service.
• Topic identification: Social Digger can help businesses to identify common topics and hashtags that are related to their brand, which can be used to generate new content and improve engagement.
• Cost-effectiveness: Social Digger is a cost-effective way for businesses to get insights into what people are saying about their brand online.

Challenges

• Lack of AI expertise: In 2018, AI was a relatively new topic in the region, and resources with expertise were not readily available. This made it challenging to find engineers with the skills to build the AI model for sentiment analysis.
• Crawling data from social media sites: Social media sites have strong anti-crawl defenses, which made it challenging to crawl data from these sites. This was necessary to train the AI model on sentiment analysis.
• Building a user experience: Building a user experience that would convey complex information was a challenge. The team had to come up with new data visualization techniques and libraries to create a user experience that was easy to understand and use.

Overall

Social Digger is a valuable tool that can help businesses to understand what people are saying about their brand online. The platform offers brand awareness, sentiment analysis, topic identification, and cost-effectiveness. The challenges associated with developing and deploying Social Digger were significant, but the benefits outweigh the risks.