Want to make your outreach more effective? Use intent data to send messages that truly connect.

Intent data reveals what prospects are actively researching or considering, helping you target the right people at the right time. By using platforms like LinkedIn, Telegram, and CRM systems, you can identify buying signals - like visits to pricing pages or webinar attendance - and craft personalized, timely messages that resonate.

Key Takeaways:

• What is intent data? Behavioral insights showing when prospects are in the market for a solution.

• Why use it? It boosts response rates and shortens sales cycles by making outreach relevant.

• How to apply it: Segment prospects by their buying stage, track engagement, and tailor messages to their specific needs.

• Tools to consider: LinkedIn Sales Navigator, Telegram analytics, and AI-powered platforms like Enreach for automation and scaling.

Intent-based messaging isn’t just about better timing - it’s about showing prospects you understand their needs, leading to more meaningful conversations and higher conversions.

What Intent Data Is and How to Use It

Intent Data Definition

Intent data is behavioral information that helps you understand when potential customers are actively searching for solutions, evaluating vendors, or showing signs they’re ready to buy. Think of it as decoding their digital body language - every click, download, search query, or interaction leaves behind clues about their thoughts and plans.

This data captures real-time buying signals. For example, visits to pricing pages, guide downloads, or frequent content engagement indicate immediate interest. Unlike static demographic data, intent data highlights what prospects need right now.

The real value of intent data lies in its ability to pinpoint where prospects are in their buying journey. A person downloading a beginner’s guide might just be starting their research, while someone comparing pricing or reading case studies is likely much closer to making a decision. With this understanding, you can fine-tune your messaging to match their stage in the process.

Intent data also measures the level of interest. For instance, a prospect engaging with multiple pieces of content over a few weeks shows stronger intent than someone visiting once. This scoring helps prioritize outreach, distinguishing between those ready for immediate follow-up and those who need further nurturing.

To make the most of intent data, you’ll need to tap into the right platforms and tools.

Where to Get Intent Data

Once you know what intent data is, the next step is understanding where to find it.

LinkedIn is a goldmine for B2B intent data. It tracks when prospects view your company page, interact with your posts, or engage with your content. Tools like LinkedIn Sales Navigator take this a step further, showing when prospects update their profiles, change jobs, or post about challenges your solution could solve. These insights give you a clear view of who’s interested and why.

Telegram also offers valuable intent signals. Metrics like message read rates, response times, and engagement patterns can reveal strong buying intent. For example, when prospects forward your content, ask follow-up questions, or initiate conversations, it’s a clear sign they’re interested. Since Telegram is more direct and personal than many social platforms, its engagement data tends to be more intentional.

Your CRM system and website analytics are also key sources of intent data. Metrics like email open rates, click-through rates, and page visits can highlight active interest. If someone repeatedly visits your pricing page or downloads multiple case studies, that’s a clear sign they’re considering your solution. Details like time spent on specific pages or patterns of return visits further refine your insights.

Third-party intent data providers can complement these direct sources by tracking activity across the broader web. They monitor prospects researching competitors, engaging with industry publications, or checking out review platforms. This wider view helps you understand their buying journey in more depth.

Why Intent Data Improves Messaging

Using intent data allows you to sharpen your outreach strategy.

Instead of sending generic messages, you can create communications that directly address what prospects are researching or considering. This level of relevance not only grabs their attention but also leads to more meaningful conversations.

Timing is everything. Intent data ensures you reach out when prospects are most engaged. For instance, if someone just downloaded a competitor comparison guide or attended a relevant webinar, they’re likely thinking about solutions. Contacting them at this moment increases the chances of your message resonating.

Personalization becomes much deeper with intent data. It allows you to reference specific actions prospects have taken, like downloading a resource or engaging with your content. You can even address challenges they’ve mentioned in forums or posts. This shows that you’ve done your homework and understand their unique situation.

Intent data also helps you avoid overwhelming prospects. By tracking when they’re actively researching versus when they’re not, you can adjust your outreach frequency. This prevents you from annoying those who aren’t ready while keeping you top-of-mind with those who are.

When your messaging is based on actual behavior rather than assumptions, it performs better. You’re speaking to their real interests, which leads to higher response rates, more qualified conversations, and ultimately, more deals closed.

Finally, intent data enhances your follow-up sequences. Instead of generic drip campaigns, you can create follow-ups that build on demonstrated interests. For example, if someone downloaded a pricing guide, your next message can address common pricing questions. If they read a case study, you can share similar success stories. This approach makes your follow-ups feel natural and adds real value to the conversation.

How To Select Intent Data & Signals To Build Trigger-Based Pipeline Generation Campaigns

How to Group Prospects Using Intent Data

Once you've gathered intent data, the next step is to organize your prospects into meaningful segments. This segmentation allows you to tailor your outreach with the personalized messaging we discussed earlier.

Grouping Methods for LinkedIn and Telegram

One effective way to group prospects is by their buying stage, as indicated by their intent signals. Here’s how it typically breaks down:

• Early-stage prospects: These individuals are just starting their research. They might download educational resources or read articles about broader industry trends.

• Mid-stage prospects: At this point, they’re comparing options. They could be attending webinars, downloading comparison guides, or frequently visiting multiple product pages.

• Late-stage prospects: These are the decision-makers. They’re checking pricing pages, downloading case studies, or even requesting demos.

Now, let’s look at how this plays out on specific platforms:

• LinkedIn: Intent signals here are tied to user behavior. For example:

  • A prospect in the awareness stage might like or share your thought leadership posts.

  • When they start commenting with detailed questions or downloading whitepapers, they’re moving into the consideration stage.

  • Frequent visits to your company page or employee profiles often signal they’re nearing a decision.

• Telegram: The signals differ slightly. Early-stage prospects might simply join your channel without much interaction. Mid-stage prospects tend to engage more by asking questions, responding to polls, or sharing your content. Late-stage prospects are the ones initiating direct conversations or asking for specific details about your offerings.

Another way to group prospects is by engagement level:

• High-engagement prospects are actively interacting across multiple channels.

• Medium- and low-engagement prospects show less consistent activity but might still be worth nurturing.

You can also refine your segmentation by combining intent signals with company details. For instance, a startup founder downloading your pricing guide will have different needs than a procurement manager at a Fortune 500 company doing the same.

Lastly, consider problem-focused grouping. If you can identify the specific challenges a prospect is researching, you can adjust your messaging accordingly. For example, someone exploring data security solutions will need a different approach than someone focused on reducing costs, even if their intent signals are equally strong.

Prioritizing Outreach with Intent Signals

Once you’ve segmented your prospects, the next step is prioritizing your outreach based on the strength and timeliness of their intent signals.

• Frequency and recency of engagement are key. A prospect who visited your pricing page multiple times this week should get immediate attention, while someone who downloaded a guide months ago but hasn’t engaged since can wait.

• Cross-channel engagement is another strong indicator. Prospects who interact with your website, emails, and social media consistently are likely evaluating your solution seriously.

• High-value actions - like requesting a demo, downloading pricing details, or engaging with industry-specific case studies - should trigger immediate follow-ups.

• Company-level signals can also elevate priority. If several people from the same organization are engaging with your content, it’s a strong sign that the company as a whole is interested.

Other opportunities arise from external factors like job changes, company news, or industry events. For example, if someone updates their LinkedIn profile with a new role that aligns with your ideal customer profile, they should go straight to the top of your list.

Finally, consider engagement depth. A prospect who spends 10 minutes reading a detailed case study or visits multiple pages in a single session shows far more intent than someone who quickly skims a blog post.

To streamline this process, implement a scoring system that weighs intent signals by recency, frequency, and value. For example:

• Recent activity should carry more weight than older interactions.

• Engagement across multiple touchpoints could boost a prospect’s score.

• High-value actions like demo requests might automatically move someone to the top of your list.

Writing Personalized Messages

Once you've segmented your prospects using intent data, it's time to craft messages that align with their specific needs. The goal is simple: tailor your message to match what your prospects are actively researching and considering.

Personalization Best Practices

Effective personalized messages start with understanding where your prospect is coming from. Intent data gives you a clear view of the topics they're exploring, so let that guide your approach. For instance, if someone has been looking into automation tools, skip the generic pleasantries and dive right into how your solution addresses their automation challenges.

Focus on the pain points their behavior reveals. If a prospect downloads a guide about reducing manual tasks, they're telling you what's causing them stress. A message like, "Hi Sarah, I noticed you're exploring automation solutions - here's how we’ve helped similar businesses streamline their workflows", shows that you get it.

Timing and context are just as important as the content. If someone recently reviewed your pricing, address their urgency with a targeted note: "Hi Mark, since you’ve been exploring our pricing options, I’d love to share how we can create a solution tailored to your needs."

Remember, different stages call for different approaches. Early-stage prospects are looking for educational resources. Mid-stage prospects need clear reasons to choose you over competitors. Late-stage prospects? They want actionable details about implementation and results.

Also, consider the context of the company. A startup founder who’s reviewing your pricing guide might care most about affordability and speed, while a procurement manager at a large corporation may prioritize compliance, security, and scalability.

Lastly, make your outreach feel natural by referencing recent activity. For example: "I noticed you’ve been researching solutions - would it help to see how we’ve solved similar problems for others in your industry?"

Message Templates for LinkedIn and Telegram

Every platform has its nuances, but the principle remains the same: connect your message to the prospect's interests and needs.

LinkedIn Templates:

• Early-Stage:
  

  "Hi [Name], I saw your recent post about [specific challenge/topic]. We’ve helped companies like [similar company] tackle this same issue. Would you like to see a case study on how they approached it?"

• Mid-Stage:
  

  "Hi [Name], I noticed your team is exploring [solution category]. We helped [similar company] improve their [specific metric] by 30% with our approach. Let me know if you’re interested in learning more about how it worked for them."

• Late-Stage:
  

  "Hi [Name], since you requested our pricing details, I wanted to personally follow up. I’d be happy to walk you through a custom proposal and answer any questions about implementation. When would be a good time for a quick call?"

Telegram Templates:

• Early-Stage:
  

  "Hi [Name], I noticed you joined the [Industry] group - are you looking into solutions for [pain point]? Here’s a guide that might help: [link]. No pressure - just thought it could be useful."

• Mid-Stage:
  

  "Hi [Name], I saw you downloaded our case study on [topic]. Would you like to see a demo tailored to your use case? I can show you exactly how this would work for your situation."

• Late-Stage:
  

  "Hi [Name], I’ve prepared your custom quote based on the requirements you shared. Can I send it over? I’m also available for a quick call to go over the details and timeline."

These templates are meant to be starting points. Always adjust them based on the intent signals you pick up. The more your message reflects the prospect's recent behavior, the better your chances of a response. Companies that use intent data for personalized outreach have reported up to a 25% boost in sales revenue and a 30% shorter sales cycle. Personalization isn’t just a nice touch - it’s a strategy that delivers measurable results.

Using AI Tools to Automate Intent-Based Outreach

Taking targeted messaging to the next level, AI tools are transforming intent-based outreach. When you're dealing with thousands of prospects, manual outreach just can't keep up. That's where AI-powered platforms shine, handling complex tasks while still keeping the personal touch that makes intent data so powerful. These tools bridge the gap between raw data and tailored communication, making outreach feel seamless and effective.

But AI doesn't just automate - it elevates. Instead of sending generic messages, these platforms analyze intent signals in real time and tweak messaging to suit each prospect. The result? Outreach that feels personal, even when scaled to a massive audience.

How Enreach Improves Intent-Based Messaging

Enreach takes intent-based messaging to another level by combining AI Sales Agents with deep integration across platforms like LinkedIn and Telegram. These AI Sales Agents are trained on more than 30 million sales conversations, giving them the expertise to craft messages that actually convert leads into clients.

By sticking to personalization best practices, Enreach ensures every automated message stays relevant to the recipient. On LinkedIn, it generates both inbound and outbound sales opportunities by posting engaging content and sending targeted messages based on how prospects interact with the platform.

On Telegram, Enreach zeroes in on users based on specific intent signals. You can filter prospects by interest, language, location, and activity. For instance, if you're in fintech, you can target users actively involved in tokens, dApps, DeFi, GameFi, or RWA - clear intent signals in the blockchain and crypto world.

Enreach also tackles common challenges like account blocking, ensuring smooth and consistent messaging campaigns. Plus, it integrates with your existing CRM, so intent data and outreach activities flow directly into your sales process. This integration allows your team to see which prospects are showing interest and what messages they’ve received, making follow-ups more effective.

"Enreach makes it easy for our BD team to hit target consistently" - Lorenzo, Head of BD

"Enreach makes it easy for our BD team to find new leads" - Ludovic, Request.Finance

By combining personalization with automation, Enreach speeds up outreach while maintaining quality.

Speed and Scale Benefits of AI-Driven Outreach

One of the standout advantages of AI in intent-based outreach is its ability to act instantly and at scale. While a human might spend hours researching and crafting a personalized message for one prospect, AI can do this for hundreds in just seconds.

AI tools are particularly effective at capturing fleeting intent signals and triggering immediate outreach. This speed can be the difference between securing a meeting and losing the opportunity.

Scaling with AI amplifies your results in ways manual methods simply can't. By automating research, message creation, and initial outreach, AI frees up your sales team to focus on connecting with qualified leads and closing deals. It also ensures consistent messaging across your team, strengthening your brand and minimizing missed opportunities.

What’s more, AI platforms constantly analyze which messages perform best for different intent signals and adjust strategies over time. This means your outreach becomes sharper and more effective as the system learns and evolves.

In short, AI tools are indispensable for scaling intent-based outreach. Their speed, scalability, and ability to adapt give your team a competitive edge that manual processes just can't replicate.

Tracking and Improving Campaign Performance

Once your AI-powered intent-based outreach campaigns are up and running, the real work begins: keeping a close eye on performance data. This step is crucial for uncovering opportunities to fine-tune your messaging and boost your ROI. Without a structured approach to measurement, you risk missing out on valuable insights that could take your campaigns to the next level.

To make the most of your efforts, focus on methods that not only monitor performance but also encourage continuous improvement. A systematic approach ensures that your campaigns stay effective and aligned with your goals.

Here are some key practices to guide you:

Continuous Performance Analysis

Make it a habit to regularly examine your campaign performance data. This helps you identify what’s working and what needs tweaking. Setting up consistent review cycles ensures your strategies remain responsive to evolving intent signals.

Prioritizing High-Value Intent Signals

Not all intent signals are created equal. Zero in on the signals that align most closely with your goals and fine-tune your prospect segmentation accordingly. By concentrating your efforts on these high-value signals, you can direct your resources toward the opportunities that matter most.

Sales and Marketing Alignment

When sales and marketing teams work off the same intent data, collaboration improves dramatically. This alignment leads to more effective outreach and quicker, better-informed strategy adjustments.

Updating Lead Scoring Models

As you collect more data from your campaigns, refine your lead-scoring models to stay sharp. Regular updates to your criteria ensure your team continues focusing on the most promising prospects, keeping your efforts both efficient and impactful.

Conclusion: Getting the Most from Intent Data

Intent data has reshaped the way businesses connect with prospects. By identifying what potential customers are actively researching and pinpointing their stage in the buying journey, your outreach can hit the mark with precision. The result? Higher response rates and more conversions.

Think of intent data as a resource you can strategically wield. Use it to group prospects based on their intent signals, craft personalized messages that resonate, and rely on AI tools to scale your efforts while maintaining consistency.

The key to success lies in continuous refinement. The insights you gather from tracking campaign results should directly inform your messaging, lead scoring, and how you segment your prospects. This creates a feedback loop that keeps your outreach efforts sharp and adaptable to market shifts.

For companies aiming to scale intent-based outreach, platforms like Enreach provide a powerful solution. With AI Sales Agents that automatically process intent signals, access to a database of over 500 million contacts, and automated outreach across platforms like LinkedIn and Telegram, Enreach streamlines the entire process. Their team of sales, data, and outbound specialists ensures you get the most out of your intent data, driving higher lead conversions through a seamless, integrated approach.

FAQs

How does intent data help make outreach messages more timely and relevant?

Intent data lets you tailor outreach messages to hit at the perfect moment with the right focus. By diving into a prospect’s current interests, online activity, and engagement habits, you can pinpoint when they’re actively researching or evaluating a product or service. This timing gives you the opportunity to connect when they’re most open to hearing from you, boosting the likelihood of creating a meaningful interaction.

Take this scenario: if the data reveals a prospect is actively exploring solutions similar to what you offer, you can craft a message that directly aligns with their needs. Sending it when their interest is at its peak not only grabs their attention but also builds trust by showing you genuinely understand their priorities.

How can I effectively segment prospects using intent data on LinkedIn and Telegram?

Using Intent Data to Segment Prospects on LinkedIn and Telegram

When it comes to leveraging intent data on platforms like LinkedIn and Telegram, start by observing how prospects interact online. Pay attention to actions such as engaging with posts, clicking on ads, or visiting your website. These behaviors often signal interest in what you’re offering.

You can also track patterns like an uptick in content consumption or recurring engagement with specific topics. These details help you zero in on leads with the highest potential, allowing you to craft personalized and targeted messages. By focusing on these intent-driven insights, you can build stronger connections and boost your chances of converting prospects into customers.

How can AI tools like Enreach help scale and personalize intent-based messaging?

AI tools like Enreach simplify the process of scaling and personalizing intent-driven messaging by automating the creation of tailored outreach. These tools tap into real-time data to analyze a prospect's behavior, preferences, and challenges, enabling businesses to craft messages that feel truly customized.

With AI, companies can seamlessly handle multi-channel communication - whether it’s on LinkedIn, Telegram, or other platforms - while keeping their messaging highly relevant. This approach not only saves valuable time but also boosts engagement and response rates, making it easier for businesses to connect with prospects and achieve stronger results.

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