How Build-in-Public Founders Can Share Landing Page Iterations Effectively

For the modern founder, building in public isn’t just a trend – it’s a powerful growth strategy. Sharing your landing page iterations transparently can transform your product development process, attract users, and create a loyal community. But how do you do it effectively?

This guide offers a complete framework for sharing your landing page iterations as a build-in-public founder – from structuring feedback requests to showcasing your results. I’ve distilled these tactics after leaving a high-powered sales career in Tokyo to build in public myself, and they’ve helped me create meaningful connections while improving my landing pages.

Key Takeaways

  • Sharing before/after iterations with data points builds credibility
  • Use LandingBoost scores (0-100) to quantify improvements
  • Structured sharing attracts quality feedback and builds authority
  • Ask specific questions rather than for general feedback
  • Complete the feedback loop by sharing what you learned

Table of Contents

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Why Build-in-Public Benefits Your Landing Page Improvements

Sharing your landing page iterations publicly isn’t just about transparency. It creates tangible benefits for your conversion optimization process:

  • Access to diverse feedback: Reaching beyond your immediate network brings fresh perspectives
  • Builds accountability: Publicly committing to improvements drives follow-through
  • Documents your journey: Creates a valuable record of your conversion optimization process
  • Attracts early adopters: People who provide feedback often become invested in your success
  • Builds your personal brand: Demonstrates your ability to take feedback and iterate

When I first shared my initial landing page iterations for LandingBoost, the feedback received from the founder community not only helped me refine my messaging but also connected me with several early beta users who have since become loyal customers.

What to Prepare Before Sharing Your Landing Page

Before sharing your landing page iterations publicly, you need to prepare properly to maximize the value of the feedback you’ll receive:

Establish Baseline Metrics

Before sharing, capture key metrics that will help you quantify improvements:

  • Conversion rate (if you have traffic)
  • User drop-off points (if tracking funnel data)
  • LandingBoost score (0-100)
  • Visual hierarchy and user flow
  • Current headline and subheadline

Utilizing LandingBoost to get an initial score gives you a clear baseline that helps quantify improvements to share later.

Define Clear Iteration Goals

Before asking for feedback, be clear on what you’re trying to improve:

  • Are you focusing on your value proposition?
  • Is the goal to improve clarity of offering?
  • Are you targeting a specific persona or use case?
  • Are you trying to address specific objections?
  • Are you testing a new design or layout?

The more specific your goals, the more actionable the feedback you’ll receive.

Prepare Specific Questions

Don’t just ask for “general feedback.” Craft specific questions that will guide responses:

  • Is it clear what [your product] does within 5 seconds?
  • Which of these three headlines resonates most with you?
  • Do you have any questions unanswered after reading the page?
  • What would make you more likely to sign up/2click the CTA?
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How to Structure Your Landing Page Iteration Posts

Structured posts draw more engagement and quality feedback. Use this template as a guide:

Landing Page Iteration Sharing Template

  1. Context (1-2 sentences):
    • Explain what your product is and who it’s for
    • Mention which iteration this is (4th, 7th, etc.)
  2. Before & After Images:
    • Include side-by-side screenshots if possible
    • Alternatively, show before image then after image
  3. The Changes Made:
    • Bullet points of the specific changes
    • Brief reasoning behind each change
  4. Data Points (if available):
    • LandingBoost score before and after
    • Conversion rate changes
    • Any other relevant metrics
  5. Specific Questions:
    • 2-3 specific questions you want feedback on
  6. Next Steps:
    • What you’re planning to iterate on next

Adding a hook that shows the pain point you’re solving or a quick win from your iteration can dramatically increase engagement with your post.

Finally, always include a link to your landing page so people can see it live.

Best Platforms to Share Your Landing Page Iterations

Different platforms attract different types of feedback. Here’s a quick overview of where to share for maximum impact:

Social Platforms

  • X (Twitter): Great for chunked,ongoing updates. Use images, before/after comparisons, and highlight data points. Use hashtags like #buildinpublic.
  • LinkedIn: Excellent for detailed, professional posts with specific measurements and results. Great for bigger milestones.
  • Instagram: Works best for design-focused iterations and visual before/after stories with polls.
  • Threads: Growing platform for design and UI/UX reviews.

Communities

  • IndieHackers: Great for detailed discussion and quality feedback from fellow founders. Use Show IH/product pages.
  • Reddit: Subreddits like /r/SaaS, /r/designcritiques, /r/startups can offer raw, honest feedback.
  • Discord communities: Builder groups, saas founders, and other focused communities offer a safe space for feedback.

Personal Platforms

  • Newsletter: Direct, detailed communication to your most engaged followers.
  • Blog: In-depth case studies about major iterations and their results.
  • YouTube: Video walkthroughs of before/after with explanations.

Don’t try to be everywhere. Choose 1-3 platforms and focus your efforts there.

How to Measure the Success of Your Iterations

Measuring improvements transforms your build-in-public efforts from anecdotal into data-driven stories

Key Metrics to Track

  • LandingBoost Score: Using LandingBoost’s 0-100 scoring is a quick way to measure improvement, even before you have significant traffic.
  • Conversion Rate: Ultimately, this is the most important metric for landing pages. Track how many visitors take your desired action.
  • Time on Page: Are people staying longer or shorter after changes?
  • Scroll Depth: Are visitors exploring more of your page?
  • A/B Turnaround: When running multiple versions, how quickly can you identify winners?
  • Community Feedback Engagement: Comments, likes, shares on your iteration posts.

Creating a Tracking System

A simple system to track your landing page iterations is essential:

  1. Create a simple spreadsheet with iteration numbers, dates, and key changes
  2. Take screenshots of each version and store them with version numbers
  3. Track the impact of changes using the metrics above
  4. Keep notes on key feedback that influenced each iteration
  5. Document LandingBoost scores and recommendations for each iteration

This tracking system becomes a valuable asset for future build-in-public content, case studies, and even investor presentations.

Case Study: A Successful Landing Page Iteration Shared Publicly

Let me share a real example of how I iterated LandingBoost’s homepage in public and what I learned:

The Starting Point

LandingBoost’s initial landing page had the following issues:

  • Headline was too generic: “ICmprove Your Landing Page Conversions”
  • No clear value proposition in the hero section
  • No obvious differentiation from other tools
  • LandingBoost score: 55/100
  • Conversion rate for sign-ups: 4.3%

Sharing The Iteration

I posted the before/after landing page versions to X (Twitter) and IndieHackers with these specific questions:

  1. Which headline communicates the value better?
  2. Is the AI-powered score (0-100) and recommendations clear as the main selling point?
  3. Does the live demo make you want to try the tool?

The Results

The feedback was incredibly valuable

  • Several founders preferred the new headline: “Get a 0-100 score for your landing page plus fixes that actually work”
  • Users suggested adding a brief animation showing the scoring process
  • Several people mentioned they weren’t sure if the tool offered manual reviews or AI-generated feedback
  • One founder suggested adding a competitive comparison table

After implementing the changes and clarifying the AI aspect, the results were significant:

  • LandingBoost score improved to: 82/100
  • Conversion rate increased to: 7.9% (a 84% improvement)
  • 3 commenters became early users
  • One commenter introduced me to a potential partnership opportunity

I then shared these results in a follow-up post, which generated even more engagement and credibility. This kind of “closing the loop” shows respect for the community’s input and builds long-term relationships.

Built with Lovable

This analysis workflow and LandingBoost itself are built using Lovable, a tool I use to rapidly prototype and ship real products in public.

Built with Lovable: https://lovable.dev/invite/16MPHD8

If you like build-in-public stories around LandingBoost, you can find me on X here: @yskautomation.

Frequently Asked Questions

How often should I share landing page iterations when building in public?

There’s no one-size-fits-all answer, but a good approach is to share significant iterations rather than every small change. A good cadence might be every 2-4 weeks for major updates, with smaller notes shared in between. Quality over quantity is the key.

What if I get negative feedback on my landing page iteration?

Negative feedback is actually an incredibly valuable form of free consultation! Embrace it, thank the person for their thoughts, ask follow-up questions, and decide whether their feedback aligns with your target audience. Then share what you learned and how you’re adapting. This transparency builds trust and shows you’re open to improvement.

How do I balance sharing progress with protecting my ideas?

While competition is a legitimate concern, the benefits of sharing usually outweigh the risks for most startups. Focus on sharing your process and results, not necessarily all of your proprietary methods. For example, share the before/after of a landing page and the results, but you don’t need to reveal the specific AI prompts or technologies that power LandingBoost.

How do I turn build-in-public feedback into actual users?

The best way to convert feedback-givers into users is to thoughtfully respond to every comment, implement good suggestions quickly, and then follow up to show you valued their input. Offer a special onboarding call or discount to people who give thoughtful feedback. And don’t forget to update the community on how their feedback improved your product – this builds goodwill and shows you’re in this for the long run.

How do I know what feedback to ignore?

Evaluate feedback based on: 1) Is it coming from someone in your target market? 2) Are multiple people pointing out the same issue? 3) Does it align with your product vision and goals? 4) Can you test it quickly? If it doesn’t meet most of these criteria, it’s okay to thank the person and file it away for later consideration. Use LandingBoost’s score and recommendations to help prioritize what to focus on first.