Bright Marketing Research (Брайт Маркетинг Рисърч)

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Bright Marketing Research (Брайт Маркетинг Рисърч) Bright Marketing Research was founded in December 2009 in Sofia, Bulgaria.

We take care of all operational and project management aspects of the market research business while our clients can focus on research design and data interpretation. Брайт Маркетинг Рисърч е създадена през месец Декември 2009 година в София, България. Нашата компания се занимава с Онлайн проучвания, програмиране на анкети, събиране и анализ на данни. Ние се грижим за всички аспекти по менажиране

и изпълнение на проекта, за да могат нашите клиенти да фокусират вниманието си върху анализа на данни. По време на всички етапи от проучването може да разчитате на нашите професионалисти с богат опит в онлайн маркетинг проучванията.

Ние се грижим за целият цикъл на живот на едно проучване – програмиране, качествен контрол, менажиране на извадката, събирането на данни и тяхната обработка. Може да разчитате на нашите професионални съвети и години опит в тази сфера.

Гордеем се с нашата страст и обвързаност към всеки проект.
Ние сме опитни ... ние се учим изключително бързо ... ние сме млади и иновативни.

A new standard deserves a new name. ✨ What happens when people who build automation and people who carry delivery respon...
03/03/2026

A new standard deserves a new name. ✨

What happens when people who build automation and people who carry delivery responsibility stop working separately?

You get fewer empty promises and more accountability. 🤝
Operations that don’t just function but flow. 🌊

We’ve been working quietly on a strategic step forward.

Not just an update or capability upgrade.
A different way of running quantitative research operations.

More soon.

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Quantitative research didn’t get slower - operations did. ⚙️  Same survey platforms, more complexity, less margin. 📉 Eve...
26/02/2026

Quantitative research didn’t get slower - operations did. ⚙️

Same survey platforms, more complexity, less margin. 📉

Everyone talks about “better insights” however almost no one talks about the operational pain underneath them.

What part of quant delivery do you think is actually broken today - and why are we pretending it isn’t? 🔍

7 days. Real patient insights. In a recent vaccine study, Bright MR supported a client with a tailored 7-day digital dia...
18/02/2026

7 days. Real patient insights.

In a recent vaccine study, Bright MR supported a client with a tailored 7-day digital diary approach - capturing patient experience in real time, anchored to verified vaccination moments.
The result? More precise longitudinal insight and significantly reduced recall bias.
We’ll be sharing more about how this custom solution was designed later this week.

In yesterday’s post, we talked about using AI responsibly in research.But responsibility is only one side of the story -...
11/02/2026

In yesterday’s post, we talked about using AI responsibly in research.
But responsibility is only one side of the story - what about real-world impact?

Below we share our latest article, where we explore how large language models are helping researchers turn messy survey responses into actionable insights - faster, smarter, and more efficiently. But here’s the twist: despite the automation, human expertise is still crucial to guide, validate, and handle the tricky nuances.

Big thanks to Konstantin Kosev, our Head of RDI, for diving into the details! If you’re curious about the future of research workflows, this one’s for you.
🔗 https://bright-mr.com/blog_news/ai-in-market-research-operations-where-automation-meets-expertise

We appreciate everyone's time taking part in our recent poll on data quality risks in market research. Two risks stood o...
06/02/2026

We appreciate everyone's time taking part in our recent poll on data quality risks in market research.
Two risks stood out clearly.

The first is bot-generated data - a long-standing challenge in market research, and one that continues to evolve alongside automation.

The second is human vs. AI oversight.
AI can support efficiency across research workflows, but it remains a tool.
Quality, judgment, and accountability still depend on human expertise.

These two risks are closely connected.
As AI becomes more capable, protecting data quality depends not only on detection methods, but on who remains responsible for decisions and validation.

This is the perspective we’ll continue to explore as we share more on AI in market research operations.

Lately, we launched a poll asking teams about their top data quality priorities in 2026. One of the areas we included wa...
04/02/2026

Lately, we launched a poll asking teams about their top data quality priorities in 2026.

One of the areas we included was stricter data regulations - because regulation increasingly shapes how data quality is managed in practice.

As global rules tighten, many teams are moving toward more privacy-aware workflows.
Not just to reduce risk, but to build trust with clients and stakeholders.

What privacy-first compliance looks like in real research projects:

✅ Minimize exposure: collect only what’s necessary
✅ Ethical handling: align practices with global regulations
✅ Transparency: make sure stakeholders know how data is used

At Bright MR, these principles are embedded in how we work - from industry standards (MRS membership), to data protection requirements (GDPR),
to certified quality and security frameworks (ISO 9001 & ISO 27001).

Data integrity isn’t just about accuracy - it’s about responsibility under real-world constraints.

In market research, safeguarding data integrity means staying one step ahead of Bot evolution.Bright BY (BOT-or-YOU) is ...
28/01/2026

In market research, safeguarding data integrity means staying one step ahead of Bot evolution.

Bright BY (BOT-or-YOU) is an AI-powered data quality template designed to detect, flag, and exclude fraudulent, bot-generated, or low-quality responses with precision. You may want to read Case Study: Bot Antidote to find out some of our strategies for winning this difficult battle against a constantly evolving algorithm.

🧩Key Features
• Invasive checks (respondent input required): video, audio, and red herring questions to assess authenticity.
• Automated checks (performed in the background): digital fingerprinting, timing analysis, pattern detection, and AI-driven open-ended evaluations.

💡Outcome
A scoring system that quantifies the likelihood of bot behavior on a scale from 0 to 100 - enabling informed decisions without disrupting genuine respondent experience.

🔗 Learn how Bright BOT-or-YOU helps keep your insights human → https://bright-mr.com/bright-bot-or-you
🔗 Read Case Study Bot Antidot → https://lnkd.in/dfpeaH-Z

📉 Data quality has been under pressure for years. The AI boom has only amplified the problem. The question is no longer ...
22/01/2026

📉 Data quality has been under pressure for years. The AI boom has only amplified the problem. The question is no longer IF data is unreliable, but HOW MUCH of it is.

🧪 Panel companies point to detection models, forecasting systems, LLM-powered tools, and river sampling controls as solutions. The intent is right. The results are ambiguous.

🔍 At Bright Marketing Research, we see the same challenge across markets and methodologies. Automation is necessary, but unchecked automation creates blind spots. That gap is exactly what BOT-or-YOU was built to address.

🛡️ BOT-or-YOU evaluates survey responses using a combination of techniques designed to assess data quality and detect fraud across online research. The outcome is measurable.

📊 On average, BOT-or-YOU removes:
• 🚫 17% of data collected via river sampling
• 🚫 10% of data collected via proprietary panel

⚠️ This is data that would otherwise pass standard checks.

✅ For our clients, BOT-or-YOU means confidence. Confidence that a respondent is human. Confidence that insights are based on reality.

📩 Learn how BOT-or-YOU helps teams protect their datasets before analysis: https://bright-mr.com/bright-bot-or-you

🎉 Sixteen years of building, learning, and growing alongside our clients, partners, and an incredible team.Your trust, d...
20/01/2026

🎉 Sixteen years of building, learning, and growing alongside our clients, partners, and an incredible team.

Your trust, dedication, and collaboration have shaped who we are and what we deliver.
This anniversary is a moment to celebrate but also to look forward.
The next chapter will continue our commitment to excellence, combining the high standards you expect with the most modern ways of working.
Thank you for being part of this journey.
The future is taking shape, and we can’t wait to share it with you.

Welcome 2026 — A Year of Appreciation at Bright Marketing Research!As we step into 2026, we want to pause and say a sinc...
09/01/2026

Welcome 2026 — A Year of Appreciation at Bright Marketing Research!

As we step into 2026, we want to pause and say a sincere thank you to our customers and partners.

✔Thank you for your trust and long-term partnerships over the past 15 years.
✔Thank you for challenging us with custom projects that drive innovation.
✔Thank you for recognising us as data experts across worldwide projects and global brands.
✔Thank you for adopting and believing in our proven research processes.
✔Thank you for helping us grow our specialised teams in Data Programming, Data Collection, and Data Analytics.
Without your partnership, the Bright environment would not shine as brightly as it does today.

As a token of our appreciation:
We are offering AI-powered open-end assessment (Bot-or-You) free of charge in your next project — valid until the end of Jan 2026.
Click here for details: https://bright-research.com/contact

📬 Our new LinkedIn Newsletter is live!🤖 In this edition, we explore the evolving challenges of data quality- from bot de...
09/12/2025

📬 Our new LinkedIn Newsletter is live!
🤖 In this edition, we explore the evolving challenges of data quality- from bot detection to human-driven insights - and share what our team at Bright MR has learned from real projects.
👉 Read the full newsletter: https://tinyurl.com/ydp7p9ju

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