For serious social influence measurement, Brandwatch is the better choice because Klout is gone, and its old “influence score” model was too blunt for modern brand work. Klout was useful as a quick social status badge, but Brandwatch gives teams the richer data they need: mentions, sentiment, reach, authors, content themes, and audience behavior.
TLDR: Klout gave people a simple score from 1 to 100, which made influence easy to understand but easy to misread. Brandwatch is better for brands because it shows why influence is happening, not just that someone appears influential. For example, a skincare brand tracking 42,000 monthly mentions might find that creators with under 25,000 followers drive 31% more positive engagement than celebrity accounts. That kind of insight beats a single score every time.
Why Klout Still Comes Up in Influence Discussions
Klout measured social influence by assigning users a score based on activity, engagement, and connections across networks such as Twitter, Facebook, LinkedIn, and Instagram. A score near 100 meant high online influence. A score near 10 meant low visible social impact.
It was simple. Maybe too simple.
People liked Klout because it turned messy social behavior into one clean number. Recruiters checked it. Marketers watched it. Some users bragged about it. The idea was catchy: if your content moved people, your score went up.
But Klout shut down in 2018. That alone changes the comparison. Klout is no longer a live option for measurement. Still, its model matters because many companies still want the same thing: a fast way to rank influence without drowning in reports.
Honestly, it feels odd that the Social Influence Score idea never fully went away. Everyone complains that single scores are shallow, then asks for one in the next dashboard meeting.
What Brandwatch Measures Instead
Brandwatch is a social listening and consumer intelligence platform. It does not just ask, “Who is influential?” It asks better questions:
- Who is talking about your brand?
- How often are they mentioned?
- What tone are people using?
- Which topics are growing?
- Which authors drive visibility or action?
- Where are conversations happening?
That makes Brandwatch more useful for marketing teams, PR analysts, agencies, and enterprise brands. It can track earned media, campaign response, competitor mentions, negative sentiment, consumer trends, and influencer performance.
Instead of giving one influence score and calling it a day, Brandwatch can show influence through multiple signals. These may include mention volume, engagement, share of voice, sentiment, reach, author authority, and audience interaction.
The Big Difference: Score vs Context
Klout was score-first. It turned influence into a ranking. That made it fast and easy to compare people. The problem was that context often disappeared.
A tech founder, a sports fan, and a comedy account could all have similar Klout scores. But their value to a cybersecurity brand would be wildly different. A high score did not always mean the right audience, topic, or conversion potential.
Brandwatch is context-first. It lets you see if influence is relevant. That is the real prize.
For example, imagine two creators:
- Creator A: 800,000 followers, 0.7% engagement rate, mixed sentiment, broad lifestyle content.
- Creator B: 48,000 followers, 4.9% engagement rate, strong positive sentiment, niche fitness audience.
A Klout-style system might favor Creator A. Brandwatch can help show that Creator B is the smarter pick for a protein drink launch. Smaller reach, better fit, stronger response.
Where Klout Was Strong
Klout deserves credit for making social influence easy to grasp. Its main strengths were clear:
- Simplicity: One number was easy to explain.
- Speed: Users could check status quickly.
- Gamification: People cared because the score felt personal.
- Cross-platform thinking: It treated influence as broader than one channel.
For casual users, Klout was fun. For basic outreach, it gave a rough filter. If someone had a high score, they were probably active and noticed by others.
But rough filters can create rough decisions. That was the flaw.
Where Klout Fell Short
Klout struggled with transparency. Users were not always sure why their score changed. A sudden jump could feel nice, but the reason was often unclear. A drop could be irritating for the same reason.
It also rewarded visible interaction more than true business value. A controversial post could create engagement. That did not mean the author was a safe partner for a brand.
Klout also had trouble with niche authority. A policy analyst with a small but powerful audience might score lower than a meme account with mass engagement. Yet the analyst could have more real influence inside a specific field.
That matters because influence is not universal. It changes by topic, audience, timing, and trust.
Where Brandwatch Wins
Brandwatch wins on depth. It can help a team separate noise from useful signals. This is especially helpful when a brand has thousands of mentions per day.
Useful Brandwatch outputs may include:
- Share of voice: How often your brand is mentioned compared with competitors.
- Sentiment analysis: Whether people sound positive, neutral, or negative.
- Topic clusters: Common themes in conversations.
- Influencer discovery: People driving relevant discussion.
- Campaign tracking: Before, during, and after performance.
- Crisis alerts: Spikes in negative mentions or unusual activity.
Say a travel company launches a new rewards program. Brandwatch might show a 62% rise in mentions over seven days, but also reveal that 38% of the conversation is negative because customers dislike blackout dates. That is much more useful than knowing that a few loud users have high influence scores.
Where Brandwatch Can Be Annoying
Brandwatch is powerful, but it is not always quick. Expect to waste time on query setup if your brand name is also a common word. A company called “Bolt,” “Apple,” or “Monday” will need careful filtering, or the results get messy fast.
The interface can also feel heavy for small teams. Building dashboards, refining searches, and checking data quality takes effort. A simple task that would take 30 seconds in a lightweight tool can take several minutes if your query is complex.
Still, that extra work often pays off. Bad data is worse than slow setup.
Which Tool Is Better for Measuring Social Influence?
Brandwatch is better for business decisions. It gives teams the evidence behind influence. You can see who matters, where they matter, what they talk about, and how people respond.
Klout was better for quick personal ranking. It gave a simple answer, even when the answer was incomplete. If all you wanted was a rough popularity signal, Klout did that well.
But modern influence measurement needs more than popularity. Brands need to know whether attention turns into trust, conversation, clicks, sales, sign-ups, or loyalty.
A Practical Way to Measure Influence Now
If you are building an influence model today, avoid copying Klout too closely. Use a blended method instead:
- Relevance: Does the person talk about your category?
- Reach: How many people could see the content?
- Engagement: Do people react, share, comment, or ask questions?
- Sentiment: Is the response positive or hostile?
- Trust: Does the audience seem to believe the person?
- Action: Does attention lead to measurable results?
This gives a fuller picture. It also prevents the classic mistake of picking influencers based only on follower count.
The Better Choice
Klout made influence feel measurable. Brandwatch makes it useful. That is the key difference.
If you miss Klout, what you probably miss is the speed of one clean number. But if you are spending real budget, hiring creators, tracking reputation, or managing a brand crisis, a single score is not enough.
Use Brandwatch when accuracy matters. Use a Klout-style score only as a quick signal, not as the final answer. Social influence is not just who gets attention. It is who changes minds, shapes conversations, and moves the right audience to act.
