How to Get Your Product in Front of the Right Audience (Loop Marketing Amplify Stage)

Key Concepts

• Loop Marketing Playbook: A framework for product marketing, consisting of stages like Express, Tailor, Amplify, and Evolve.
• Amplify Stage: The stage focused on getting a tailored campaign message in front of the right audience across various platforms.
• AI Engine Optimization (AEO): Optimizing content to appear in AI search results, similar to how SEO optimizes for Google.
• Community-Driven Distribution: Engaging with audiences in online communities (e.g., Reddit, Facebook groups, forums) to build trust and gather insights.
• Content Repurposing: Transforming existing campaign assets into a variety of new content formats for different platforms.
• Pre-Launch Checklist: A series of steps to ensure all campaign elements are connected and functional before launch.
• Saved Replies: Pre-written responses for frequently asked questions to ensure quick and consistent customer service.

Amplify Stage: Getting Your Campaign Seen

This video details the "Amplify" stage of HubSpot's Loop Marketing Playbook, focusing on how to ensure a well-crafted campaign reaches its intended audience. The speaker, Bridget Oaror, uses the example of the "Trailmates 4Z" campaign, which achieved over 50,000 organic views and 422 sign-ups in one week. This stage builds upon the "Express" (research and AI foundation) and "Tailor" (personalization) stages.

1. AI Engine Optimization (AEO) for Discoverability

To ensure the "Trailmates 4Z" campaign was discoverable by its target audience, "playful pet parents," a strategy of AI Engine Optimization (AEO) was implemented. This aims to make content visible in AI search results, akin to SEO for search engines.

• Methodology:
  • AI Search Visibility Optimizer Prompt: Used from HubSpot's prompt library to map out the AEO strategy.
  • Content Creation: The prompt suggested writing five short, question-first blog posts around high-intent topics.
  • Natural Mention: The "4Z" product was to be mentioned naturally within these posts.
  • Linking: Each blog post was to be linked within the campaign's Frequently Asked Questions (FAQ) section.
• AI Prompt Example: "Write all five blog posts, optimize for AI engines, base them on high intent questions and make sure to mention the forzy as the solution."
• Execution:
  • The AI-generated blog posts were copied into HubSpot's blog editor.
  • A human edit was applied to ensure a natural tone, which is crucial when using AI-generated content.
  • Posts were designed using the campaign's style guide from the "Express" stage and published.
  • The landing page's FAQ section was rewritten to include the same high-intent questions, with each question linking back to its corresponding blog post.

2. Community-Driven Distribution for Trust Building

Recognizing that the target audience also researches on platforms like Reddit, Facebook groups, and pet forums, a community-driven distribution strategy was employed. The audience seeks authentic stories and advice, not just direct marketing.

• Methodology:
  • Community-Driven Distribution Prompt: Used to identify where the audience congregates and what they discuss.
  • Authentic Engagement: The output advised showing up as an individual, not a marketer, to build trust.
  • Key Information Provided by Prompt: Top communities, effective engagement strategies for each, and methods for natural joining.
• Messaging Framework: Templates from HubSpot's free Product Marketing Kit (covering personas, positioning, and sales plans) were used to refine messaging for these platforms.
• Execution:
  • One short, value-first tip was posted in each identified community.
  • Three thoughtful comments were left on existing posts from a personal account.
  • Crucial Distinction: While AI helps identify spaces, all written responses within these communities should be personal to build trust.
• Connecting to Brand:
  • The brand ("Threaded North") was mentioned once in posts for credibility.
  • The personal profile included the brand name and a link, maintaining a personal feel while connecting back to the brand.
• Long-Term Strategy: Continued weekly engagement and turning recurring questions into blog posts or downloadable guides.

3. AI-Powered Content Repurposing for Scalability

To efficiently distribute content across multiple platforms, a robust content repurposing strategy was implemented using AI.

• Methodology:
  • Input Assets: Launch script, email, landing page, and FAQs were fed into ChatGPT.
  • AI Prompt Example: "Remix all of our existing assets into a 20-piece content pack." (The speaker provides a screenshot of the prompt).
• Output Content Pack (20+ pieces):
  • Carousel posts
  • Short video clips
  • Text-based posts
  • Image highlighting warmth and fit guide
  • Checklist carousel (broken down into three static images)
  • Talking-head videos based on FAQs
  • Behind-the-scenes clips from the launch video creation
• Platforms: Content was distributed across seven platforms.
• Benefit: This approach allows for broad distribution and generates data on what resonates, informing future campaign cycles.

4. Pre-Launch Checklist for Seamless Execution

Before officially launching, a pre-launch checklist ensured all technical and functional aspects were in place.

• Steps:
  • Bio Links: Added the landing page link to TikTok and Instagram bios.
  • ManyChat Automation: Set up an automation to automatically send the landing page link to anyone commenting about the product on TikTok and Instagram.
  • Launch Video Posting: Posted the launch video to both accounts with a consistent call to action.
  • Collaboration: Collaborated with Moe's accounts to boost reach.
  • Testing:
    • Commented "4Z" to trigger the DM.
    • Clicked the link in the DM.
    • Filled out the form.
    • Confirmed email receipt.
    • Checked the pre-order list in HubSpot to ensure the contact was added.

5. Post-Launch Engagement for Community Loyalty

After launch, ongoing engagement is crucial to maintain momentum and build loyalty.

• Methodology:
  • Saved Replies: Used for instant responses to FAQs, with links to blog posts for more detailed information.
  • Dedicated Engagement Time: Set aside 30 minutes in the morning and 30 minutes at night during launch week for active engagement.
  • Personalized Responses: Thanking commenters by name and initiating real conversations.
  • Influencer Engagement: Liking, commenting, and joining conversations with similar accounts and pet influencers naturally.
• Future Strategy: These relationships will be leveraged in the next loop cycle for collaborations and user-generated content.

Conclusion and Next Steps

The "Trailmates 4Z" campaign was successfully launched, demonstrating how to turn a simple product idea into community loyalty through strategic amplification. The next stage, "Evolve," will focus on analyzing launch week analytics to identify what worked and what didn't, enabling data-driven decisions for future campaigns. The video concludes by encouraging viewers to like, subscribe, and download the free Product Marketing Kit.

Speaker Attribution: Bridget Oaror.