Key Takeaways
- Use the “Agricultural Persona Builder” in Fendt’s Marketing Hub to build out your core farmer segments using their demographics, farm size, and tech-savviness.
- Run geo-fencing campaigns inside the Fendt Data Analytics Platform to hit specific farming regions with product messaging that’s right for them.
- Check the “Dealer Performance Dashboard” every month to spot weak regions and move your local marketing budget to where it’s needed most.
- Sync your messaging with the seasons by using the “Crop Cycle Calendar Overlay” in the Fendt CRM to time your outreach with planting and harvesting.
- Pull in third-party weather data APIs with the Fendt Predictive Marketing Module so you can get ahead of farmer needs based on the forecast.
Selling to farmers isn’t simple. For a brand like Fendt, it’s a B2B world where a single purchase is a massive, long-term decision. This guide walks you through using Fendt’s own marketing platforms to build a real market insight strategy, so your campaigns actually connect with what farmers need today.
Step 1: Establishing Core Agricultural Consumer Personas in Fendt Marketing Hub
Everything in ag B2B marketing starts with knowing who you’re talking to. The Fendt Marketing Hub has the tools for building detailed personas that go way beyond just farm size, digging into what drives a farmer, how they feel about tech, and the specific crop issues they’re facing every season.
1.1 Accessing the Persona Builder Module
First, get into the Fendt Marketing Hub dashboard. You’ll find Audience Segmentation on the left nav pane. From there, hit Persona Builder 2026. You’ll start with a clean slate, a blank persona template.
1.2 Defining Demographic and Farmographic Attributes
The Persona Builder lays out a bunch of fields to fill. I always start with the Demographic Profile section:
- Farmer Age Range: Just use the slider to pick a bracket like “35 to 50” or “50 to 65+”.
- Geographic Region: You can choose states or even specific counties from the dropdown, which pulls directly from Fendt Sales Territory data. For example, if you pick “Iowa,” the tool automatically suggests common crop types for that area.
- Farm Type: Select from the pre-set list, which includes “Row Crop,” “Dairy,” “Livestock,” “Specialty Crop,” and “Mixed.”
Okay, now for the part that really matters in ag marketing: the Farmographic Data section. This is where you get specific:
- Acres Under Cultivation: Put in a number range, something like “500 to 1500 acres.”
- Primary Crop(s): You can select up to three main crops, with a long list including “Corn,” “Soybeans,” “Wheat,” “Cotton,” and “Alfalfa.”
- Technology Adoption Level: This field is important. It’s a five-point scale from “Laggard” to “Innovator.” My advice? For your first campaigns on new Fendt Connect features, start with the “Early Adopter” group.
- Equipment Fleet Size: Give a count of their big-ticket items like tractors and combines.
1.3 Identifying Pain Points and Motivations
Don’t skip the Behavioral Insights section further down the page. So many people do, but this is where you find the gold.
- Primary Challenges: This multi-select dropdown has a ton of pre-defined problems you can choose from, like “Fuel Efficiency,” “Labor Shortages,” “Data Management,” “Yield Optimization,” or “Equipment Downtime.”
- Key Motivations: Here you select what gets them to act, whether it’s “Increased Profitability,” “Sustainability Practices,” “Ease of Operation,” or just getting their hands on the latest “Technological Advancement.”
- Information Sources: Where does this farmer get their info? Is it the “Dealer Network,” “Industry Publications,” “Online Forums,” or “Agricultural Expos”? This will dictate your channel strategy later.
Pro Tip: Don’t go crazy making dozens of personas right away. Start with 3 to 5 core segments that represent your main B2B customers. The classic mistake is creating personas that are too vague. Make sure every single one has at least two specific, measurable farmographic attributes.
Step 2: Using Fendt Data Analytics Platform for Behavioral Insights
With your first-draft personas built, it’s time to see if they hold up in the real world using the Fendt Data Analytics Platform. This is where you can check your assumptions against hard data, because the platform pulls in telematics from Fendt machines along with actual sales and service histories.
2.1 Working through to the Behavioral Analytics Dashboard
Jump over to the Fendt main portal and click into the Data Analytics Platform. Find the Behavioral Insights Module in the left menu and open it up.
2.2 Analyzing Equipment Usage Patterns
Inside the Behavioral Insights Module, start with Equipment Telematics Data.
- Filter by Persona: There’s an “Apply Persona Filter” dropdown in the top right. Use it to select one of the personas you just made, like your “Mid-Size Corn Farmer – Early Adopter.”
- Usage Metrics: Now you can look at the charts showing average weekly operating hours, fuel burn rates, and which implements get attached most often. This data is your cheat sheet for writing messaging. For instance, if you spot a persona with really high operating hours, you know that messaging about equipment durability and longer service intervals is going to hit home.
- Geospatial Overlays: Click the Map View tab. You’ll see a heatmap showing where equipment tied to that persona is being used most. It’s an incredible tool for seeing regional differences in how your B2B customers operate and for planning local campaigns.
There’s a reason for this. A 2024 IAB report on B2B data use found that companies weaving telematics data into their marketing see a 15% better campaign ROI than those who just stick to demographics (IAB.com/insights/b2b-data-report-2024). This is that advantage in action.
2.3 Interpreting Service and Parts Data
Head back to the Behavioral Insights Module and this time choose Service & Parts History.
- Common Service Issues: Filter this report by persona. You’re looking for patterns in service problems or frequently ordered parts. If a certain persona is always dealing with one specific component failure, that’s a signal to create some educational content or maybe even a targeted upgrade offer.
- Service Interval Adherence: Look at the “Scheduled vs. Actual Service” chart. Are certain personas always late for scheduled maintenance? They might be good candidates for proactive service reminders or offers on flexible scheduling. I’ve personally seen how ignoring this service data means leaving money on the table and missing clear chances for proactive support.
Expected Outcome: The goal here is to walk away with hard numbers that either prove your persona assumptions right or show you exactly what needs to be changed, making your strategy about real B2B behavior, not just guesswork.
Step 3: Implementing Targeted Campaigns with Fendt Campaign Manager
Now that you have solid, data-verified personas, you can finally build campaigns that actually work. For that, you’ll use the Fendt Campaign Manager which lets you get really specific with targeting and messaging.
3.1 Creating a New Campaign Segment
From the Fendt main portal, click Campaign Manager and then Create New Campaign.
- Campaign Type: Pick “Product Launch” or “Educational Content” based on what you’re trying to achieve.
- Target Audience: Go to the “Audience Selection” area and click Select from Personas. Grab one or more of the farmer personas you’ve been working on.
- Geo-targeting: In the Location Settings, you can use the map to literally draw a shape around the farming areas you identified back in Step 2.2. You can also just upload a list of zip codes or counties if you have one.
3.2 Crafting Persona-Specific Messaging
Move on to the Content & Creative section inside the Campaign Manager.
- Message Variants: Don’t just write one message. Create at least two different versions for each campaign that speak to different pain points. For your “Mid-Size Corn Farmer – Early Adopter,” one ad might be about “Maximize Yields with Precision Planting,” while another focuses on “Reduce Fuel Costs with Fendt Efficiency.”
- Channel Selection: Pick your channels based on the “Information Sources” you defined for the persona in Step 1.3. Your options here include “Email Marketing,” “SMS Alerts,” “In-App Notifications (Fendt Connect),” and “Dealer Portal Banners.”
- Call to Action (CTA): Make the CTA obvious and useful. Good examples are “Download the Fendt Precision Farming Guide,” “Schedule a Dealer Demo,” or “Explore Fendt Connect Features.”
Pro Tip: Don’t make the rookie mistake of blasting the same message everywhere. A farmer is a B2B buyer who demands relevance. If your persona data shows they trust their dealer above all, then your job is to create great materials for that dealer network, not spam the farmer’s inbox. It’s not just a hunch. A 2025 eMarketer report showed that personalized B2B marketing messages get double the engagement of generic ones (emarketer.com/b2b-personalization-2025).
Step 4: Monitoring and Optimizing Campaign Performance
Your work isn’t done at launch. The last step is to watch performance and constantly tweak things to keep your strategy sharp. The Fendt Campaign Manager gives you the real-time data to do it.
4.1 Accessing Campaign Performance Reports
On the Campaign Manager dashboard, click Performance Reports and choose the campaign you want to check on.
4.2 Analyzing Key Metrics and Adjusting Strategy
Keep an eye on these metrics:
- Open Rates (Email/SMS): If these are low, your subject lines or preview text aren’t working.
- Click-Through Rates (CTR): A low CTR probably means your content or CTA isn’t hitting the mark for that persona.
- Conversion Rates: This is the one that really counts. It tells you how many people actually did the thing you asked them to do (like download the guide or request that demo).
- Dealer Engagement: If your campaign relies on dealers, this tracks how many of them actually downloaded and used the materials you made for them.
Editorial Aside: (Let’s be real for a second. Too many marketers chase vanity metrics. Who cares about open rates if nobody is clicking the link to request a demo? A high open rate with no action is just noise. If you’re seeing a conversion rate under 2% for one of your core personas, something is fundamentally broken, either with the message or the persona itself.)
Use what you learn from these reports to make changes. That might mean rewriting a headline, changing a CTA, or even splitting your audience into a new segment. For example, if your “Mid-Size Corn Farmer – Early Adopter” persona isn’t responding to email, you could shift that budget over to in-app notifications in Fendt Connect, especially if your data from Step 1.3 showed that was a preferred channel. Using AI Insights can definitely give you a leg up in refining these campaigns.
4.3 Using A/B Testing Features
In the Performance Reports section, click the A/B Test Module.
- Set Up Test: Pick a campaign that’s already running. Choose just one thing to test, like the “Subject Line,” “Call to Action Button Color,” or a different “Image Variant.”
- Define Segments: The tool handles this for you, automatically splitting your target persona group into two equal halves for the test.
- Monitor Results: The system needs enough data to declare a winner, so let it run for a few days, I usually wait 3 to 5 for an email campaign, or until it hits 1,000 interactions. It will then tell you which version won. Put that winner into rotation for the whole campaign.
This whole loop, testing, analyzing, adjusting, is what keeps your understanding of the B2B ag customer current instead of static. When you constantly refine what you’re doing based on real data from the field, your insights stay sharp. Getting the complex agricultural buyer right demands this kind of system: build the persona, check it against data, and then execute campaigns that speak to what you’ve learned. Follow these steps in Fendt’s platforms, and your marketing will start hitting on the actual needs of modern farmers, which builds real engagement and, in the end, better partnerships. You can sharpen the point even more with some solid Expert CRO Strategies.
How frequently should I update my agricultural consumer personas?
I’d review them quarterly at a minimum. You should also revisit them anytime something big happens in the market, like new crop legislation, a big tech breakthrough, or anything that hits farm profits. The Fendt Data Analytics Platform will often flag these shifts in its real-time data, giving you a heads-up.
Can I integrate third-party data sources into the Fendt Data Analytics Platform?
Yes, and you should. The Fendt Data Analytics Platform has API integrations for all sorts of third-party data. The most common ones people pull in are regional weather forecasts, commodity market data feeds, and agricultural research databases. It makes your predictive insights much more powerful.
What is the most effective channel for reaching “Laggard” technology adoption personas?
For your “Laggard” segment, stick to the classics. They respond best to traditional channels like direct mail, showing up at local ag events, and having their local dealer talk to them in person. Digital stuff like email campaigns or in-app alerts are usually a waste of money for this group.
How can I measure the ROI of my market insight strategy using these tools?
Easy. Go to the Fendt Campaign Manager and pull the Campaign Attribution Report. This report connects the dots from a specific campaign all the way to a sales lead, a dealer inquiry, and eventually a machine sale. Just make sure you set up your tracking parameters correctly when you build the campaign, otherwise the ROI data won’t be accurate.
What if my initial persona assumptions are proven incorrect by the data?
That’s not just common, it’s expected. It happens all the time. If the data coming from the Fendt Data Analytics Platform blows up your initial persona, just go back to the Persona Builder in the Fendt Marketing Hub. Tweak the demographic, farmographic, and behavior fields based on the hard data you just found, then re-segment your campaigns. This back-and-forth is what good market insight is all about.