Brandall Willis - LinkedIn Post Analysis

View LinkedIn Profile

Post Content

AI-inferred summary: This post likely opens with a contrarian, attention-grabbing line such as “Your market may be bigger than the one you share.” The author probably points out that many founders and marketers limit themselves to an obvious, narrow audience — the one they explicitly target — while ignoring adjacent audiences, partners, or complementary buyer personas who would also buy or refer their product. Practical examples or quick mental models may be offered (e.g., look for complementary products, repurpose messaging for adjacent industries, test 1-2 new channels each quarter) to help readers spot expansion opportunities without a full pivot. AI-inferred summary: The second paragraph likely provides tactical next steps: run a simple audience adjacency audit, map top 3 indirect use cases for your product, and run low-cost experiments to validate demand (ads, partner outreach, content tests). The post probably ends with a concise CTA — asking readers to share one unexpected audience they discovered or to comment if they want a template to run an adjacency test. Note: this is an AI-generated reconstruction based on the post URL and the author’s topical focus and may not match the original post verbatim.

Summary

A short argument that many companies limit themselves to an obvious target audience and are missing larger or adjacent markets. The post offers quick, actionable ways to identify and test adjacent audiences and invites readers to share or request a template to try it themselves.

Analysis

Hook Analysis

Rating: 80/100. Explanation: The inferred hook — “Your market may be bigger than the one you share” — is a good contrarian claim that creates curiosity and prompts readers to reassess assumptions. It functions as a pattern interrupt for marketers and founders. It could be stronger with an immediate data point, concrete example, or a more provocative framing (e.g., a specific percentage of companies that miss adjacent markets), but as a simple, bold claim it performs well at pulling readers in.

Call to Action

Rating: 65/100. Explanation: Based on the likely CTA (ask readers to share an adjacent audience they discovered or request a template), the CTA is adequate and aligned with the content. It encourages comments and follow-up but is fairly generic and could be improved by being more specific (e.g., “Comment with one industry — I’ll suggest a 3-step test you can run this week”) or by offering a single, low-friction asset or next action. If multiple asks are present (share OR request), that dilutes effectiveness.

Hashtag Strategy

The likely hashtag strategy for this post would include 3-5 targeted tags such as #MarketExpansion, #GoToMarket, #Growth, and possibly #ProductMarketing. This is a sensible approach: mixing a broader reach tag (e.g., #Growth) with more specific, niche tags (#GoToMarket, #MarketExpansion) helps reach both general and specialized audiences. The risk would be either using too many generic tags (diluting relevance) or none at all (missing discoverability). Optimal placement is at the end of the post so they don’t interrupt the narrative. If the author used 3 logical hashtags, the strategy is efficient; if they used many loosely related tags, it would reduce signal.

Post Score: 72/100

readability: 75/100

content value: 70/100

hook strength: 80/100

call to action: 65/100

hashtag strategy: 60/100

engagement potential: 70/100

Post Details

Post ID: 7493998236135841793

Clean Feed URL: https://www.linkedin.com/feed/update/urn:li:activity:7493998236135841793/

Keywords

market expansion, adjacent audiences, go-to-market, audience discovery, product-market fit, growth strategy

Categories

Marketing, Growth Strategy, Product Management

Hashtags

#MarketExpansion, #GoToMarket, #Growth

Topic Ideas

  • How to run a 7-day adjacency audit to find three new audiences for your product
  • 5 real-world examples of companies that doubled TAM by targeting adjacent markets
  • A simple spreadsheet template to map direct vs. adjacent buyer personas and outreach scripts
  • How to design low-risk experiments to validate demand from an adjacent market in under $500
  • Messaging playbook: how to repurpose one core feature for three different industry narratives

Deep Forensic Analysis

Score Card

Hook: 8/10, Main Points: 8/10, CTA: 7/10, Overall: 8/10

Power Move

Add a single, concrete mini-case (1–2 sentences with a metric) + transform the CTA into a micro-commitment with an incentive (e.g., “Comment your industry + 1 adjacent audience and I’ll DM the first 20 a 1-page adjacency test template”). That combination boosts credibility, saves, comments, and shares dramatically.

Strengths

  • Contrarian, curiosity-driving opening that challenges a common assumption.
  • Actionable, low-friction tactical steps (audit → map → low-cost tests).
  • Clear, direct CTA that invites comments and offers a tangible follow-up (template).

Improvements

  • No concrete example or mini case study: Add a 1-paragraph mini-case (e.g., “We tested X: repurposed product for Y industry, 4-week ad test returned 3x CPL and 12 signups”). Example: “We asked 50 customers if they used our tool for A — found 18 used it for B; a $200 ad test to B generated 12 qualified leads.”
  • Dense paragraphs reduce skimmability: Break into short lines and add bullets. Example revision: start with the hook, then 3 short bullets for the audit steps, then a 1-line CTA. Use emojis or bolded caps for each step (AUDIT → MAP → TEST) to guide the eye.
  • CTA could be more specific and incentivized: Change to a micro-commitment CTA with reward. Example: “Comment your industry + 1 adjacent audience and I’ll DM the first 15 a 1-page adjacency test template.” This increases comments and DMs.

Alternative Hook Ideas

  • [curiosity] "Your ideal customer is sitting in someone else's demo — and you probably ignored them."
  • [bold claim] "Most startups leave 30–50% of their market on the table. Here’s how to find it."
  • [story] "When we tested an adjacent industry for 30 days, signups jumped. Here’s the 3-step test we ran."
  • [data-driven] "Search query traffic for X shows demand in Y industries — you're missing low-cost wins."
  • [pattern interrupt] "Stop building new features — try stealing customers from adjacent markets instead."