Want to understand what gamers are really saying? Social listening tools can help track and analyze sentiment across platforms like Discord, Reddit, and Twitter. Here's a quick comparison of three popular options:
- Sprout Social: Great for social media management but misses key gaming platforms like Discord and Reddit. Costs $199/user/month. Best for mid-sized teams.
- Brandwatch: Offers extensive data coverage, real-time alerts, and customizable insights. Ideal for large teams but has a steep learning curve.
- Levellr: Focuses exclusively on Discord, providing deep insights into gaming communities. Perfect for companies active on Discord but limited in scope.
Quick Comparison:
Tool | Strengths | Weaknesses | Best For |
---|---|---|---|
Sprout Social | Real-time alerts, emoji detection | Misses gaming platforms, expensive | Mid-sized teams managing social media |
Brandwatch | Wide data coverage, customizable | Complex setup, steep learning curve | Large teams needing detailed insights |
Levellr | Discord-focused, nuanced analysis | Limited to Discord | Teams heavily invested in Discord |
Gaming communities use unique slang, sarcasm, and memes. Choose the right tool based on your needs and platforms to capture accurate sentiment and make smarter decisions.
Electronic Arts enhances gameplay for millions of players with Amazon Bedrock | AWS Events
1. Sprout Social
Sprout Social provides a solid platform for managing social media, but it falls short when it comes to fully covering key platforms where gaming communities thrive.
Data Source Coverage
Sprout Social monitors platforms like Instagram, X (formerly Twitter), Facebook, and TikTok. It tracks brand names, misspellings, hashtags, and even reviews. However, it leaves out critical spaces like Discord, Reddit, and Twitch - places where gamers engage in the most genuine and active conversations.
For example, gaming companies such as Tilting Point have highlighted Sprout Social's usefulness as a management tool. But this gap in coverage means it can miss out on vital discussions happening in the heart of gaming communities. Let’s dive into how Sprout Social processes the conversations it does capture.
Contextual Understanding
Sprout Social uses a Deep Neural Network (DNN) for sentiment analysis. This technology allows it to understand internet slang like "lol", "lmao", and "omg", as well as interpret emojis. Thanks to its 2023 acquisition of Repustate, the platform has improved in these areas. However, gaming-specific terms like "OP" (overpowered), "nerf", and "buff" often slip through the cracks, highlighting a limitation in its contextual grasp of gaming culture.
Despite these challenges, Sprout Social’s real-time alert system remains a valuable tool for acting quickly on trends and feedback.
Real-Time Analysis and Alerts
Sprout Social's Listening Spike Alerts notify users of sudden increases in activity around specific topics. These alerts are customizable, allowing users to set thresholds and receive notifications via email or Smart Inbox. Metrics like Topic Volume, Potential Impressions, and sentiment breakdowns are included, while irrelevant content like sweepstakes or sales promotions is filtered out. This helps teams zero in on meaningful player feedback without distractions.
Customization and Reporting
The platform offers flexibility through tailored Listening Topics and alerts, which can be adjusted based on user group permissions. However, its reporting tools focus on standard social media metrics rather than gaming-specific key performance indicators (KPIs), limiting its usefulness for gaming-focused insights.
2. Brandwatch
Brandwatch is a social listening tool designed to keep up with the dynamic and ever-evolving language of gaming communities. By offering extensive data access and customizable analysis, it helps gaming companies stay connected to their audiences and understand the pulse of the gaming world.
Data Source Coverage
Brandwatch focuses on the platforms where gamers are most active. It provides firehose access to Twitter (X) and near-real-time tracking of public subreddits, with historical data going all the way back to 2011 . Considering Reddit's massive presence - with over 100,000 communities and 50 million daily active users - this is a goldmine for understanding player sentiment . Popular gaming subreddits like r/gaming, r/pcgaming, and various game-specific communities offer raw, unfiltered insights.
The platform also monitors 720,000 Instagram accounts, including gaming-related ones, and has firehose access to Tumblr, allowing for deeper exploration of author data and audience interests . Through its Listen feature, users can track mentions across social media platforms, review sites, blogs, and news outlets. Additionally, Brandwatch offers a personalized CRM for Twitch streamers, keeping tabs on key metrics that matter most to content creators. This wide-ranging data coverage ensures gaming companies can quickly identify shifts in sentiment or emerging trends.
Real-Time Analysis and Alerts
Brandwatch’s smart alert system is a powerful tool for gaming companies, helping them stay ahead of potential issues. By monitoring sentiment in real time, the platform enables companies to respond swiftly to emerging threats - whether it’s backlash over a game update or frustration with server outages . This proactive approach ensures that problems are addressed before they spiral out of control. Sentiment analysis accuracy falls within a 60–75% range for supported languages, depending on the data source.
Customization and Reporting
Brandwatch’s strength lies in its ability to adapt to the specific needs of gaming companies. Its customization features allow users to track gaming-specific keywords, events, and trends with precision.
"My favourite thing about Brandwatch is the ability to really customize the data. We're able to customize what we're looking for and the audiences we're speaking to."
This flexibility is invaluable for tracking mentions of specific game titles, character names, or even niche gaming terms across various communities. The platform can also differentiate between franchises, monitor competitors, and keep tabs on major gaming events or product launches.
Brandwatch’s crisis management tools have repeatedly shown their value, helping companies turn negative sentiment into opportunities. By leveraging social listening, gaming brands can transform challenges into moments of growth and connection with their audience.
sbb-itb-5174ba0
3. Levellr
Levellr taps into Discord as its primary data source. With 70% of Discord users involved in gaming-related activities, the platform has positioned itself as a key tool for understanding player sentiment in the spaces where it matters most.
Data Source Coverage
Discord has become a gathering place for gaming communities, and Levellr has capitalized on this. Take the Marvel Rivals server, for example - it had over 3.6 million members by January 2025. This concentrated community of gamers provides a wealth of data for sentiment analysis. Levellr tracks both engagement trends and user-generated content, giving gaming companies access to genuine, real-time insights. On average, clients using Levellr collect 56 pieces of user-generated content daily.
The platform also reveals the value of Discord users: data shows that a Discord user is six times more valuable than a non-Discord user when it comes to spending on and off the platform. This strong data foundation fuels Levellr's advanced contextual analysis.
Contextual Understanding
Gaming conversations often involve unique language and require more nuanced sentiment analysis. Levellr meets this challenge by using advanced Large Language Models (LLMs) that interpret language with a human-like touch. By leveraging its extensive Discord data, the platform delivers sentiment analysis with critical context. As Ben Barbersmith, Levellr's CTO, puts it:
"Context is everything. Without understanding the conversation's context, the user's history, and who's replying to whom, sentiment analysis falls flat. A short message like 'nah' could be positive, negative, or neutral… but there's no way to know without the surrounding conversation."
Levellr's models reconstruct entire conversations, helping distinguish between feedback on gameplay bugs, patch updates, or unrelated frustrations. For niche gaming terms, the platform provides additional context, allowing its LLMs to learn and adapt. It also prioritizes feedback based on user behavior, giving more weight to comments from loyal players compared to disengaged ones.
Real-Time Analysis and Alerts
Levellr doesn't just gather data - it acts on it in real time. The platform processes thousands of daily incidents, flagging only the most critical for review. It sends alerts for sudden spikes in conversations, giving community managers a chance to address potential issues before they escalate.
Levellr’s sentiment analysis digs deeper than surface-level monitoring, identifying micro-trends and spotting hidden critics. This makes it a valuable tool for detecting harmful interactions or community toxicity early on. Additionally, its keyword tracking and sentiment monitoring features allow users to set alerts for surges in positive or negative interactions, helping streamline workflows and capture key insights.
"Levellr's real-time analytics and automation is a critical asset that saves hours every week so I can focus on players." - Jose Fonseca, Community Manager, Scopely
Customization and Reporting
Levellr’s insights go beyond analysis - they help teams take action. For instance, Look North World used Levellr’s Discord data to run live playtesting sessions. Players were able to share their experiences, report bugs, and suggest improvements in real time. This approach helped the company shorten development cycles and prioritize the feedback that mattered most.
"Levellr allowed us to get our Discord community on a growth trajectory by providing visibility on what activities actually drive growth, better understanding of overall sentiment, alongside support from Levellr that has been responsive and helpful every single step. We leveled up our game with Levellr!" - Patrick Moran, Co-Founder, Look North World
Pros and Cons
When it comes to analyzing gaming community sentiment, each social listening tool has its own strengths and limitations. Choosing the right one depends on how well its features align with a gaming company's goals for community engagement.
Sprout Social is a standout for its ability to handle multilingual sentiment analysis and detect emotions through complex sentences and even emojis. This makes it particularly valuable for gaming communities, where slang and visual cues are common. It also combines social media management with listening tools, which simplifies workflows for teams juggling multiple platforms. However, the hefty price tag of $199 per user per month can be a significant drawback.
Brandwatch is known for its enterprise-level capabilities and its impressive client base - two-thirds of Forbes 100 brands use it. It offers sentiment accuracy rates of 60–75% for most queries across more than 40 languages. By blending AI with human oversight, it provides dependable insights for more complex analyses. That said, it comes with a steep learning curve and a more involved setup process, which could delay implementation.
Levellr takes a more niche approach, focusing exclusively on Discord communities. This is a major plus for gaming companies with an active presence on Discord. However, its narrow focus means it doesn't capture sentiment from other social media platforms, which could be a limitation for broader campaigns.
Tool | Key Strengths | Main Weaknesses | Best For |
---|---|---|---|
Sprout Social | Multilingual analysis, emoji detection, dual functionality | Expensive ($199/user/month), lacks advanced features | Mid-sized teams prioritizing ease of use |
Brandwatch | Enterprise-level features, 60–75% accuracy, trusted by Forbes 100 brands | Steep learning curve, complex setup | Large teams needing detailed research |
Levellr | Discord-focused insights | Limited to Discord, narrow scope | Companies with a strong Discord presence |
All of these tools, despite their individual strengths, face challenges when deciphering the unique dynamics of gaming communities. Gaming conversations often involve playful banter, sarcasm, and evolving slang, which can be tricky for sentiment analysis tools to interpret accurately. Even human evaluators only agree on sentiment about 80% of the time, highlighting the difficulty of the task.
Ultimately, the choice between these tools often boils down to budget and team size. Sprout Social is ideal for mid-sized teams looking for an intuitive and user-friendly experience. Brandwatch is better suited for enterprise-level teams that require in-depth research and historical insights. Meanwhile, Levellr is a great option for companies deeply invested in Discord, though its limited scope may not meet broader needs.
Conclusion
Each tool mentioned offers its own strengths for navigating the ever-changing landscape of gaming sentiment. Gaming communities, with their constantly evolving slang and frequent use of sarcasm, present a tough challenge for sentiment analysis. That’s why your choice of tool should align closely with your specific goals and the structure of your organization.
Sprout Social stands out for its ability to monitor in real-time and provide contextual insights. Its real-time capabilities can be a game-changer, especially for teams that need to act quickly. While its premium pricing might not suit every budget, it’s a strong option for mid-sized teams with the resources to invest.
If your focus is on extensive data coverage and proactive crisis management, Brandwatch delivers enterprise-level insights along with timely alerts. This is particularly relevant when you consider that 61% of US marketers are channeling resources into real-time social listening data to protect brand reputation and address crises effectively. In the world of gaming sentiment analysis, where accuracy and context are critical, tools like Sprout Social and Brandwatch can provide the edge needed for stronger community engagement and better crisis management.
FAQs
How do social listening tools understand gaming slang and sarcasm effectively?
Social listening tools rely on natural language processing (NLP) and AI models to make sense of the ever-changing slang, memes, and sarcasm that thrive in gaming communities. These technologies dig into the context of conversations, keeping up with shifting language trends to accurately gauge sentiment.
Using customized dictionaries and piecing together conversation threads, these tools can unravel even the trickiest expressions. This gives game studios and brands a clearer picture of how gamers feel, helping them connect more effectively and make smarter decisions.
What should gaming companies consider when choosing Sprout Social, Brandwatch, or Levellr for sentiment analysis?
When deciding between Sprout Social, Brandwatch, and Levellr for gaming sentiment analysis, gaming companies should weigh a few important aspects:
- Sentiment accuracy: Brandwatch delivers sentiment accuracy rates ranging from 60% to 75%.
- Focus on private communities: Levellr specializes in analyzing sentiment within private, invite-only spaces, making it a strong choice for closed gaming communities.
- Advanced tools: Sprout Social offers AI-driven sentiment insights along with trend tracking, helping to spot emerging patterns.
It's also important to think about how easily the platform integrates with your existing tools, whether it offers real-time monitoring, and how well it caters to the unique needs of the gaming industry. These considerations will help ensure the platform you choose supports your community engagement and analysis goals effectively.
Why would a gaming company choose a Discord-focused tool like Levellr instead of one covering multiple social media platforms?
Gaming companies often gravitate toward Discord-focused tools like Levellr because Discord is tailored for real-time, community-driven interactions. Unlike platforms such as Facebook or X (formerly Twitter), Discord thrives on creating close-knit communities through private servers, direct communication, and highly engaged user groups.
For gaming brands, this translates to opportunities for building meaningful connections with their audience, collecting precise sentiment insights, and having personal, two-way conversations. Plus, Discord's built-in features - like automated moderation and community management tools - help ensure a safe and vibrant space for gamers. This not only strengthens loyalty but also provides a clearer understanding of what resonates with their audience.