Case Studies / Re-Work
EVENTS · SOCIAL MEDIA ANALYTICS
Replacing manual social media monitoring with real-time AI-powered event analytics
Re-Work, an international conference organizer, needed to track and respond to audience sentiment across social media during live events. We built a real-time analytics tool that automated opinion monitoring, influencer identification, and trend detection – replacing manual social media review entirely.
Client: Re-Work – an international events company organizing conferences and exhibitions focused on technology and innovation.
KEY RESULTS
Real-time
Live monitoring of social media conversations during events
Auto
Sentiment scoring and trend detection – no manual review
Geo
Geographical visualization of audience engagement
Influencers
Automatic identification of key voices and thought leaders
INDUSTRY
Events & Conferences
USE CASE
Social media analytics for events
AI APPROACH
NLP + sentiment analysis
DATA SOURCE
Social media platforms
OUTPUT
Dashboard with real-time insights
PRODUCT
Twitter Board (theBlue.ai)
The challenge
Re-Work organizes conferences and exhibitions where hundreds of attendees, speakers, and exhibitors generate a constant stream of social media activity – reactions to sessions, feedback on logistics, shout-outs to speakers, and complaints about everything from wifi to catering. Understanding this in real time was critical for improving events on the fly and planning better ones in the future.
Before the project, this was done manually. Someone from the team would scroll through Twitter, try to gauge sentiment, and flag anything urgent. It was slow, incomplete, and entirely reactive – by the time negative feedback was noticed, the moment to respond had often already passed.
The core problem: thousands of social media posts were generated during events, but extracting useful, timely insights from that data was manual, slow, and unreliable. By the time feedback was noticed, it was too late to act on it.
What we built
We deployed our social media analytics tool – Twitter Board – to give Re-Work a live, automated view of what attendees were saying about their events as it happened.
Real-time sentiment analysis. The tool continuously ingested social media posts related to the event – using hashtags, mentions, and keywords – and scored each for sentiment. The event team could see at a glance whether the overall mood was positive, negative, or mixed, and drill into specific posts driving the score.
Influencer identification. The system automatically identified which voices were generating the most reach and engagement – speakers, attendees, journalists, and industry figures. This allowed Re-Work to prioritize engagement with the people whose posts had the biggest impact.
Geographical visualization. Built-in dashboards showed where social media activity was coming from geographically, giving Re-Work insight into their audience’s physical distribution and regional engagement patterns.
Trend detection. The tool surfaced emerging topics and conversation threads in real time – whether a particular session was generating buzz, a logistics issue was escalating, or an unexpected topic was trending among attendees.
The results
BEFORE
Manual social media monitoring. Reactive responses. No structured sentiment data. Feedback reviewed after the event, if at all.
AFTER
Automated real-time dashboard with sentiment scoring, influencer tracking, geographical insights, and trend alerts – all during the live event
Re-Work moved from reactive to proactive event management. Negative feedback could be addressed in real time. Positive moments could be amplified while they were still happening. Post-event analysis was based on structured data rather than anecdotal impressions.
The tool also provided lasting value beyond individual events – the accumulated sentiment data and engagement patterns helped Re-Work make data-driven decisions about future event programming, speaker selection, and audience targeting.
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