It’s not enough to know how often your brand is mentioned on Twitter. You need to know how people feel when they mention you — and how those emotions compare to your competitors. That’s where sentiment analysis comes in. Done right, it gives you a clear picture of brand perception in your category, over time, and in real time. In this guide, you’ll learn how to compare sentiment between your brand and your rivals using Twitter data, why it matters, which metrics to watch, and how tools like TrendFynd help you track and act on what people feel, not just what they say.
What Is Sentiment Analysis?
Sentiment analysis is the process of determining whether a piece of content is positive, neutral, or negative. On Twitter, sentiment is often tied to:
Product reviews
Customer support issues
Campaign reactions
Viral trends
Influencer commentary
Every tweet has tone. When aggregated, those tones reveal whether a brand is building trust — or losing it.
Why Comparing Sentiment Matters More Than Volume
Brand A might have 10,000 mentions per month. Brand B might only have 4,000. But if 70% of Brand B’s mentions are positive — and only 30% of Brand A’s are — who’s really winning?
Raw volume doesn’t show loyalty, love, or hate. Sentiment does. It reveals:
Which brand is getting credit
Who’s under fire
How campaigns actually land
Where dissatisfaction creates openings
Where customer delight creates retention
When you compare sentiment head-to-head, you get insight that cuts through the noise.
Key Sentiment Metrics to Compare
1. Positive Sentiment Rate
The percentage of tweets about a brand that are clearly favorable.
Track this over time to see how reputation builds — or fades — in public.
2. Negative Sentiment Rate
Measure what portion of mentions are complaints, criticism, or frustration. This is especially important during launches, support incidents, or PR events.
3. Sentiment Over Time
Compare how emotions shift weekly or monthly. Does your brand improve after a product update? Does a competitor’s score drop after a controversial post?
4. Campaign Sentiment
Track sentiment tied to a specific hashtag, keyword, or thread. See how people feel about a new feature, rebrand, or announcement.
5. Sentiment by Influencer
What’s the tone when influencers talk about your product — versus when they talk about a competitor?
6. Sentiment by Segment
With tools like TrendFynd, you can break sentiment down by:
Region
Language
Verified vs unverified users
Creator vs customer mentions
This adds nuance to comparison. A brand might trend well in one market and poorly in another — and sentiment will show you.
How to Compare Sentiment Using TrendFynd
Step 1: Add Your Brand and Your Competitors
In TrendFynd, set up streams for your brand’s handle, product names, and hashtags — and do the same for each rival.
Step 2: Track Sentiment Daily and Weekly
TrendFynd uses NLP and emotion AI to classify tweets in real time. You'll see:
Daily sentiment trend lines
Overall sentiment percentages
Peaks and drops that correlate with events
Step 3: Run Campaign-Specific Comparisons
During a product drop, you can compare sentiment for:
Your hashtag
Their hashtag
Shared keywords like “update,” “feature,” “integration”
Step 4: Filter by Influencer, Region, or Segment
Want to know how tech creators feel about you vs your competition? TrendFynd lets you filter sentiment by account type. You’ll quickly see which voices are cheering for you — or calling you out.
Step 5: Generate Sentiment Comparison Reports
Export clean visual reports for internal use, showing:
Side-by-side sentiment pie charts
Week-over-week change
Customer vs creator sentiment
Top positive and negative tweets by brand
Perfect for marketing teams, CX leads, or executive strategy meetings.
What Sentiment Insights Can Reveal
Product Weaknesses in Competitor Offerings
If a rival launches a feature that gets mostly negative feedback, that’s a chance to highlight how your product solves the same problem — better.
Customer Delight Moments
See what drives your audience to post happy, unprompted tweets — and double down on it.
Support Gaps
If competitor users are complaining about bugs or response time, that’s your opening to engage thoughtfully or retarget those users.
Campaign Messaging Flaws
If a branded hashtag is generating confusion or mockery, avoid repeating the mistake. TrendFynd lets you see not just sentiment, but why it exists — through quote tweets, emojis, and keyword co-occurrence.
Pricing Pushback
Pricing changes are often reflected emotionally. If your competitor increases prices and sentiment turns negative, that’s a chance to position yourself as the more transparent or customer-aligned option.
Real Example: Sentiment Gap in Action
Brand A: Premium project management software
Brand B: Affordable alternative with fewer features
During a 3-week window, Brand A launched a major update with a marketing push on Twitter.
TrendFynd sentiment analysis showed:
Brand A: 54% negative, focused on UX regressions and pricing confusion
Brand B: 68% positive, driven by influencers posting “why I switched” threads
Brand B used that sentiment data to fuel their next Twitter campaign: “Clean, fast, and no learning curve — just how project tools should be.”
Result: 9.4% increase in signups attributed directly to Twitter traffic in 10 days.
Tips for Better Sentiment Comparison
Don’t rely on one week of data. Track sentiment continuously for meaningful trends.
Filter out bots and spam accounts — they can skew emotional accuracy.
Watch the replies. Often, quote tweets and threads reveal more emotion than original tweets.
Look at emotional categories — not just “positive” or “negative,” but also “trust,” “joy,” “anger,” “surprise.”
Track sentiment per feature or product line when possible — it gives deeper resolution.
Beyond Marketing: Who Benefits from Sentiment Data?
CX Teams – Use real-time sentiment to identify pain points and common complaints.
Product Managers – Track user reactions to new features faster than support tickets.
Sales Teams – Understand how prospects feel about competitors before pitching.
Founders/Execs – Benchmark brand health and public trust with precision.
Support Teams – Catch customer frustration early, before it snowballs.
Final Thoughts
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