Social Media Sentiment Analysis: What It Is and How It Works
Learn how social media sentiment analysis works, why it matters for market researchers, and how to use it to make smarter marketing decisions in 2026.
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Code unaided brand awareness survey responses in minutes. Blix makes it easy to code brand mentions, variants, and misspellings with minimal manual effort in any language.
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Survey respondents don't always follow rules. They spell brand names wrong, abbreviate them, mix languages, and write in all kinds of formats. There's no consistency to work from.
So you do what most teams do. You export the data, open Excel, and start scanning for every variation of every brand name. It takes hours, days, or weeks. The bigger your dataset, the worse it gets.
Blix automatically identifies every brand entity in your open-ended responses, capturing spelling mistakes, abbreviations, and mentions in any language without you having to maintain a list of every possible variation.
Blix also tracks the order of brand mentions, so you can easily report on top-of-mind and share-of-mind metrics.
Blix automatically identifies every brand mention in your open-ended responses and automatically generates a clean list of every brand that appears in your data.
Blix codes brand mentions across languages, spelling mistakes, and abbreviations. It even catches new variants and names it hasn't seen before. The result is high-quality, human-like coding at a fraction of the time.
Blix codes every brand mention in the exact order it appears in each response. So you can easily calculate and report top-of-mind and share-of-mind for your brand and category.
Blix supports any language, including mixed-language datasets. Run global trackers across multiple markets and get consistent, accurate coding no matter what language your respondents write in.
Blix makes it easy to code open-ended responses without complicated setup or manual work. It’s robust enough for large tracking studies, yet simple enough for smaller ad hoc projects and quick one-off questions.
For teams running recurring trackers, Blix's API lets you automate the entire coding process from end to end. It can also stream results live into your dashboards. Minimal human supervision, maximum consistency, wave after wave.
Blix scans your dataset and builds a list of every brand people mentioned, grouping all the variations together. So "Nike," "nike," and "nke" all end up under one code: Nike.
Blix goes through every response and applies the right brand codes with high accuracy, in any language, accounting for spelling mistakes and order of mention.Blix builds a complete codebook with no translation required and runs in language coding across every language in your dataset.
Download your fully coded data with order of mention preserved and your top-of-mind and share-of-mind metrics already structured. Ready to present, analyze, and share with your client.
Unaided brand awareness is one of the most important metrics you deliver. That means the coding behind those numbers has to be right.
Blix is built for busy market researchers & consumer insights professionals. It's fast, accurate, and highly effective at any volume with minimal manual work.
Matt Hussey
Founder of Generosity X
Read the case studyUnaided brand awareness measures how many people can recall a brand without being shown a list of options. It is usually captured with an open-ended survey question like, “Which brands come to mind when you think about this category?”
Because responses are spontaneous, unaided brand awareness is a strong indicator of which brands are truly top of mind for consumers. It helps companies understand brand salience, compare awareness against competitors, and track whether marketing activity is making the brand more memorable over time.
Say you ask 1,000 people: "What car brands come to mind?" Thematic coding will group responses by broader topics, such as “luxury cars,” “family cars,” or “electric vehicles.”
Brand awareness coding will focus on entity recognition, identifying the specific brand names respondents mentioned, such as Mercedes, Honda, Kia, Toyota, or BMW.
Blix handles it automatically. It finds spelling variations, abbreviations, and multilingual brand names and maps them all back to the right code. You may occasionally want to review and tweak, but Blix does the heavy lifting for you.
Yes. Blix’s unaided brand awareness algorithm can recognize and classify any type of entity at scale, including brand names, people, services, cities, and more.
Both. Blix automatically builds a codebook from your dataset, but you can review, edit, and customize it before coding. You can also bring an external existing codebook from a previous study and apply it to new data with Blix.
For the vast majority of brand tracking studies, yes. Blix codes with human-level accuracy, catching mentions that manual processes often miss. For highly sensitive or specialized studies, you can always review and adjust before exporting.
Save hours of manual work with AI powered open ends coding, with human-level quality and zero manual work.
Turn qualitative feedback into data and insights in minutes, with a few clicks.
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