EUDR Perception Monitoring 2026: Brandwatch Guide

You need to know what people are saying about the European Union Deforestation Regulation (EUDR), especially if your business is in an affected supply chain. Social listening gives you that raw, immediate feedback. This guide will walk you through using Brandwatch Consumer Research to get a real handle on social media conversations and customer feedback about EUDR.

Step 1: Setting Up Your Brandwatch Project and Initial Queries

The quality of your social listening depends entirely on your query. If it’s poorly built, you’ll either get swamped with irrelevant noise or miss the important conversations altogether. So let’s start by building a solid Brandwatch project with queries that actually work for tracking EUDR talk.

1.1 Create a New Project

First things first, go to your Brandwatch dashboard and hit the “Projects” icon in the left-hand navigation bar. Then, click “Create New Project.” Give it a name you’ll remember in six months, like “EUDR Perception Monitoring 2026,” and jot down a quick description of its purpose. Trust me, this small step saves you headaches later when you’re juggling multiple monitoring projects.

1.2 Define Your Query Language and Sources

Once the project is created, you’ll land in the “Query Editor.” Your first job is to pick languages. Since we’re talking about the EUDR, you’ll want to start with English, German, French, Spanish, and Italian at a minimum. Then, select your data sources. To get the full picture, make sure you’ve selected “Social Media” (which gets you platforms like X, Facebook, Instagram, Reddit, and TikTok), but also check the boxes for “News” and “Forums.” Some of the most honest consumer opinions show up in those less formal spots.

1.3 Constructing Your Core EUDR Query

Okay, this is the most important part. You have to be precise. You’re trying to capture not just the name of the regulation but what people are actually saying *about* it. In the “Query Builder” text box, you’ll use a structure like this:

(EUDR OR "EU Deforestation Regulation" OR "European Union Deforestation Regulation") AND (perception OR sentiment OR opinion OR feedback OR concern OR "supply chain" OR "deforestation-free" OR "sustainable sourcing" OR traceability OR compliance OR impact OR "greenwashing")

The OR operator gives you more chances to find relevant posts, while the AND acts as a filter, making sure the mention is actually about the EUDR in the context of things people care about. A classic mistake is getting too broad with “OR” terms and not using enough “ANDs” to focus the results, leaving you with a firehose of irrelevant chatter. You should also consider adding your specific product categories with an AND, for example, AND (coffee OR cocoa OR palm oil OR soy OR wood), if those are core to your business.

Pro Tip: Iterative Query Refinement

Your first query is never going to be perfect, so don’t even try. Let it run for a day or two, then go to the “Mentions” tab and start reading. Are you seeing garbage posts? Those are false positives. Find a common word in them and add it to your query using a NOT operator for specific keywords, like NOT (unrelated_keyword). On the flip side, if you know a conversation is happening and you’re not seeing it, you need to add more synonyms. This back-and-forth refinement is how you get clean data.

Step 2: Analyzing Sentiment and Key Themes

With data coming in, you can finally start digging for insights using Brandwatch’s analysis tools. Let’s look at how to pull out what people are really thinking by focusing on sentiment and the main themes popping up in conversation.

2.1 Working through the Dashboard and Sentiment Analysis

From your project dashboard, click on “Dashboards” and then open the default “Overview” dashboard. You’ll immediately see high-level numbers, but zero in on the “Sentiment Analysis” widget, which gives you a positive, negative, or neutral breakdown. The AI is good, but it’s not human, it can get tripped up by sarcasm or complex phrasing. It’s always a good idea to click on the negative slice of the pie chart and actually read a sample of the posts to verify the machine got it right.

Expected Outcome: Quantified Perception

What you’re looking for is a clear sentiment distribution. Maybe you see that 60% of mentions are neutral, 25% are negative, and 15% are positive. That tells a story: a lot of the talk is just informational, but there’s a vocal negative contingent. If that negative number starts creeping up past 35%, that’s a red flag that you’ve got a real problem brewing, like customer frustration over compliance burdens or accusations of greenwashing, requiring a swift response.

2.2 Identifying Dominant Topics with Topic Clouds

Right below the sentiment chart, you’ll find the “Topic Cloud” or “Themes” widget. It’s a simple but effective visual of the most common words and phrases in your dataset, bigger words mean more mentions. This is how you find out *what* about the EUDR people are actually discussing. Are they saying “traceability,” “smallholders,” “cost implications,” “certification,” or “carbon footprint”?

Click on any word in that cloud, and Brandwatch will filter all the mentions for you, letting you drill down into a specific praise or, more likely, a specific complaint. We often see that early on, conversation is about general awareness, but as you get closer to a compliance deadline, it shifts to the nitty-gritty of implementation and whether people think it’s fair.

Pro Tip: Custom Categories for Granular Analysis

If you need more structure, go to “Analyze” > “Categories.” This is a bit more advanced but worth it. You can create your own tags and use rules to apply them automatically. For instance, you could build a category called “EUDR: Positive Impact” with rules like (EUDR AND (positive OR benefit OR good OR progress)) and another for “EUDR: Negative Concerns.” This gives you a much sharper, quantifiable breakdown of customer feedback than simple sentiment, and it’s perfect for tracking very specific types of criticism over time.

Step 3: Tracking Trends and Identifying Influencers

It’s one thing to know what people are saying right now. It’s another to see how the conversation is changing and who’s leading it. Now we’ll get into tracking trends and spotting the key players.

3.1 Monitoring Trends Over Time

Find the “Mentions Over Time” graph on your dashboard. This chart is your pulse check. You’re looking for spikes in mentions. When you see one, your next question should be, “What happened that day?” Was there a policy announcement or a major news story? For example, a new report from the Environmental Paper Network about a supply chain problem or a press release from the European Commission could easily cause a jump, giving you context for the sudden attention.

Use the date selector at the top right to zoom out and look at weekly or monthly trends. Is negative sentiment slowly climbing? Are new topics emerging? I’ve seen companies misread a temporary dip in negative sentiment as a sign of success, only to be shocked when the same issue came roaring back weeks later. Context is everything.

3.2 Identifying Key Influencers and Channels

Knowing who’s steering the conversation is everything. Navigate to the “Authors” section within your dashboard, where Brandwatch lists the social media accounts driving the discussion, ranked by metrics like reach and engagement. Forget celebrities. Often the real influencers here are subject matter experts, specific NGOs, or even dedicated consumer advocacy accounts with a passionate following.

At the same time, look at the “Channels” or “Sources” widget. Is the action on X (formerly Twitter) with rapid-fire takes, or is it in long, detailed threads on Reddit forums? Knowing this tells you where to focus your engagement efforts and turns you from a passive listener into someone who can actively manage your brand’s reputation.

Expected Outcome: Targeted Engagement Strategy

By finding the key influencers, you can decide how to engage. Do you just need to monitor them more closely? Is there a chance for direct communication to clear up a misconception? If one news outlet is consistently critical, you need to understand their perspective to shape a response. This is how you move from just listening to actively managing your reputation.

Step 4: Creating Actionable Reports and Alerts

All this data is useless if it just sits in Brandwatch. You have to get it into the hands of people who can do something with it. The final piece is turning your findings into reports that people will actually read and setting up alerts so you’re not caught off guard.

4.1 Building Custom Dashboards for Stakeholders

The default overview dashboard is fine for you, but your executive team doesn’t need to see every widget. Go to “Dashboards” > “Create New Dashboard” and build a custom view for them by dragging in just what they care about: a “Sentiment Trend” chart, a “Volume of Mentions” graph, and maybe the “Top Mentions” list. For your sustainability team, you can build a different dashboard with a “Topic Cloud” that focuses on compliance terms and a list of mentions from NGOs.

Each widget can be configured (for instance, set a sentiment chart to only show the last 30 days), and you can export these dashboards as PDFs or share them with a secure link. This makes sure everyone is looking at the same up-to-date numbers.

4.2 Setting Up Real-Time Alerts

A quick response can stop a small online fire from becoming a full-blown PR crisis. Brandwatch’s alerts are built for this. Navigate to “Alerts” in the left-hand menu, then “Create New Alert,” and set up your triggers:

• High Volume Alert: Notify me if mentions increase by 50% in 2 hours.
• Negative Sentiment Spike: Send an email if negative mentions exceed 40% of total mentions within a day.
• Keyword Alert: Get an alert if specific high-risk keywords (e.g., “EUDR lawsuit,” “deforestation scandal”) appear.

You can send these alerts to email or a Slack channel, which gets the right information to the right people instantly so they can act. My personal rule of thumb is that any sustained 15% increase in negative sentiment over a 24-hour period means it’s time to get the team on a call.

4.3 Exporting Data for Deeper Analysis

Sometimes the dashboards aren’t enough and you need to get your hands on the raw data. In the “Mentions” tab, you can apply any filters you want (like only negative mentions from the last week), and then click the “Export” button to get everything in a CSV or Excel file. This is perfect if you want to run your own statistical analysis or combine the social data with internal sales figures to see if a spike in online complaints actually correlates with a dip in purchasing.

If you follow these steps, you’ll have a data-driven way to track how customers see your EUDR efforts, instead of just relying on anecdotes. That information is gold for refining your messaging, handling real concerns, and building some actual brand trust in a world that’s paying close attention. For more on optimizing your ad strategies, see how AI Ad Evaluation can boost ROI, or how an AI Ad Workflow boosts ROAS. Also, understanding broader 2026 marketing trends helps put all this social listening data in context.