Welcome back to another edition of the people-first GTM Newsletter.

In case you missed my
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last week, Mark and I started a new podcast together called GTM News Desk. Check it out and subscribe to
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This week, we’ll be covering intent signals and why they matter. Here’s a quick image of how to think about when you get a deeper mindset of why it matters.

Have you ever wished you could read your customers' minds to know exactly what they're thinking and what they need from you? While mind-reading technology isn't available yet, the next best thing is here: intent signals.

Intent signals can transform how you engage with prospects, ensuring your marketing and sales efforts are as effective as possible. But what are intent signals, and how can you harness their power to supercharge your business strategy?

What Is Intent Data?

Intent data is information collected about an individual's or organization's activities, showing signals of their buying intent. It’s like seeing digital footprints across various online platforms, indicating interest through behaviors like website visits, content downloads, product comparisons, and more.

Intent data points you to where potential customers are in their buying journey and what they're likely to need next. This is especially powerful in a People-First approach, where understanding and anticipating people's needs is at the core.

The Potential of Intent Data in Refining GTM Strategies

Here's how intent data can be a game-changer in refining your GTM strategies:

1. Enhanced Personalization

• Precision Targeting:
  With intent data, you can pinpoint where potential customers are in their buying cycle and what specific content or solutions they're seeking. This allows you to craft highly personalized marketing messages that resonate deeply.

2. Increased Efficiency

• Resource Allocation:
  Intent data lets you focus your marketing and sales efforts more efficiently. Knowing who is more likely to buy allows you to allocate resources toward leads with the highest purchase probability. Companies using intent data have reported up to a 7x increase in ROI on their marketing campaigns due to this targeted approach.

3. Improved Customer Experience

• Timely Engagement:
  Imagine being able to provide information exactly when your potential customers need it. Intent data allows for this by signaling when customers are researching specific problems. Engaging them at this moment with relevant solutions can significantly enhance the customer experience and journey.

4. Better Sales Alignment

• Sales Readiness:
  Sales teams can use intent data to understand better prospects' needs and readiness to engage. This leads to more informed conversations and a higher likelihood of closing deals, with some companies seeing a huge increase in conversion rates.

5. Future-Proofing Your Strategy

• Market Trends:
  Beyond individual leads, intent data can reveal broader market trends and shifts in interests or concerns among your target audience. This insight can be crucial for adjusting your GTM strategy to stay relevant and competitive.

Bringing It All Together

In a People-First GTM strategy, using intent data means you're not just broadcasting messages and hoping for the best. You're engaging in thoughtful, informed conversations with your potential customers. You're meeting them where they are, with what they need, exactly when they need it. This isn't just good marketing; respectful and effective communication builds trust and fosters long-term relationships.

To get started, ask yourself:

• How well do we currently understand our customer's journey?

• What top intent signals indicate a strong lead for our business?

• How can we better align our content and outreach strategies with these intent signals?

Innovating your People-First GTM with intent data doesn't just add a layer of intelligence to your strategies—it embeds a deep understanding of your customer's needs and behaviors, setting you up for more meaningful engagements and, ultimately, greater success.

What Are Intent Data Signals?

Intent data signals are indicators that provide insights into a potential customer’s interests and likelihood to purchase based on their online behavior. Understanding and utilizing these signals can significantly enhance the effectiveness of your marketing and sales strategies by ensuring you're reaching the right audience at the right time with the right message.

Intent data signals typically include activities such as:

• Web page visits

• Downloaded content

• Search queries

• Product comparison and review engagements

• Webinar registrations and participation

• Social media interactions

These signals help predict buyer behavior by showing what a potential customer is researching and considering.

How to Collect and Analyze Intent Signals

1. Collecting Intent Data

• First-Party Data:
  Start with your own website and CRM. Track which pages your visitors spend time on, what content they download, and their interaction with emails (e.g., open and click-through rates).

• Third-Party Data:
  Use third-party providers that aggregate intent data across various sources. Companies like Bombora or G2 provide insights based on user behavior across multiple sites and platforms, offering a broader view of customer interest in specific topics or products.

Tools for Collecting Intent Signals

• Google Analytics:
  Use this to track website behavior, such as page views, session duration, and bounce rates.

• CRM Software:
  Tools like Salesforce or HubSpot can track interactions with your CRM data, such as email engagements, download histories, and sales interactions.

• Marketing Automation Platforms:
  Solutions like Marketo or Eloqua can automate the collection and analysis of behavioral data across your marketing channels.

• Intent Data Providers:
  Companies like Bombora or Demandbase specialize in collecting and analyzing third-party intent data across multiple platforms.

• Social Listening Tools:
  Platforms like Brandwatch or Hootsuite allow you to monitor social media for mentions, keywords, or topics related to your products or industry, providing insights into audience interest levels.

What to Collect

• Web Engagement:
  Track which pages are visited, time spent on each page, and the path taken through your site.

• Content Interactions:
  Note downloads, webinar sign-ups, and video views. Which topics are most engaging?

• Email Interactions:
  Monitor open rates, click-through rates, and interactions with email content.

• Social Engagement:
  Look at likes, shares, comments, and mentions related to your brand or relevant topics.

• Search Queries:
  Pay attention to the search terms that lead users to your site or are used on your site’s search function.

• B2B Specifics:
  For B2B companies, track job titles and companies of the visitors for more targeted marketing.

2. Analyzing Intent Signals

• Data Integration:

  • Consolidate Data:
    Use a data integration tool to consolidate data from various sources (website, CRM, social media, etc.) into a single platform.

  • Create a Unified Customer View:
    Develop a comprehensive view of each customer by integrating their interaction data across all touchpoints.

• Behavioral Analysis:

  • Segmentation:
    Segment your audience based on behavior patterns and engagement levels.

  • Lead Scoring:
    Apply lead scoring models incorporating intent signals to prioritize leads based on their conversion likelihood.

  • Trend Analysis:
    Use analytics to identify trends and patterns in the data. For example, increasing content downloads on a specific topic could indicate a rising interest that should be addressed in your GTM strategy.

• Reporting and Decision-Making:

  • Create Dashboards:
    Use visualization tools to create dashboards that display key metrics related to intent signals.

  • Regular Reviews:
    Schedule regular review sessions to analyze these dashboards and adjust strategies as necessary.

Key To-Dos

• Set Clear Objectives:
  Define what you hope to achieve by analyzing intent signals—be it improving lead quality, increasing conversions, or enhancing content engagement.

• Choose the Right Tools:
  Select tools that best fit your specific needs and budget and integrate smoothly with your existing systems.

• Train Your Team:
  Ensure your team understands how to use the tools and interpret the data.

• Act on Insights:
  Implement changes based on data insights to refine your marketing and sales approaches continuously.

Key Strategies to Leverage Intent Data

1. Personalized Marketing Campaigns

• Content Personalization:
  Tailor content according to your prospects' identified interests. For instance, if intent signals show a high interest in cybersecurity, those contacts might receive targeted content like specialized blog posts, ebooks, or invitations to relevant webinars.

• Targeted Ads:
  Use intent data to refine your ad targeting. For example, LinkedIn allows you to target ads based on job functions, which can be aligned with the intent data collected to maximize relevance and impact.

2. Sales Enablement

• Lead Prioritization:
  Equip your sales team with intent data insights to help them prioritize leads who are showing strong buying signals, ensuring they focus their efforts on the most promising prospects.

• Custom Sales Pitches:
  Sales teams can tailor their pitches based on the specific interests and needs shown by the prospect's online behavior, increasing the chances of resonating with the buyer.

3. Continuous Improvement

• Feedback Loop:
  Establish a continuous feedback loop between sales and marketing to refine the interpretation of intent signals and the effectiveness of strategies based on outcomes.

Real-World Examples

• HubSpot:
  HubSpot uses its own tools to track visitor behavior on its site, allowing it to offer personalized content and product recommendations. It analyzes which pages a visitor checks and tailors its follow-up emails to include relevant product information and educational content.

• Adobe:
  leverages intent data to enhance its targeted marketing efforts, particularly in personalizing the customer journey for different segments. This enhances
  conversion rates by providing highly relevant messages and offers.

Questions to Ask

• What intent signals are most indicative of purchase readiness in our industry?

• How can we better align our content and communications to address the specific interests identified through intent data?

• What tools and integrations do we need to analyze and act on intent data effectively?

By strategically collecting and analyzing intent data and then applying those insights to tailor your marketing and sales efforts, you can significantly improve the efficiency and effectiveness of your outreach, ensuring that every message you send is timely, relevant, and likely to convert.

Key Takeaways

As we wrap up, here are the key points to remember:

• Rich Data Sources:
  Leverage tools like Google Analytics, CRM software, and intent data providers to gather comprehensive insights into customer behavior.

• Integration and Analysis:
  Consolidate data from various sources to create a unified view of customer actions and preferences. Use behavioral analysis to identify patterns and segment your audience effectively.

• Actionable Insights:
  Apply the insights gained from intent signals to tailor your marketing and sales strategies. Personalize communications, prioritize leads and adjust your tactics based on real-time customer interest.

• Continuous Improvement:
  Review the data regularly and refine your strategies to align with customer needs and market trends.