# Brand Personas — Justin Harris / justinharris.ai **Status:** Locked v2 **Last updated:** 2026-04-19 **Compiled by:** Embla (brand-strategist) **Source files:** BRAND-VOICE.json, justin-harris-identity.md, BRAND-STRATEGY.md, BRAND-QUESTIONNAIRE-RESULTS.md --- ## How to Use This Document These personas represent the real buyers Justin closes. Use them to: - Write copy that speaks directly to one person, not "business owners generally" - Choose which pain points to lead with on any given channel - Set the awareness stage before writing any headline or CTA - Calibrate proof: what does this specific person need to believe before saying yes? --- ## Persona 1: The Results-Hungry CEO **Name (composite):** Marcus **Title:** CEO / Founder **Company:** $400K-$10M+ B2B professional services (law firm, accounting firm, insurance agency, regional services company) **Team size:** 10-50 employees **Age:** 40-54 **Location:** Mid-market city, regional market — may be local to Las Vegas but is more likely national ### What's True About Marcus He already tried ChatGPT. Maybe bought a few SaaS AI tools after a conference. Nothing stuck. He's seen competitors move faster and he can feel the gap widening. He's not afraid of technology — he's afraid of wasting money on it again. He does not have time to become an AI expert. He needs someone who already is one and who can show him the ROI before asking for a check. He is skeptical but open. His default assumption about consultants is: "This person will take my money, produce a document, and leave me with exactly as much operational capacity as before." Justin needs to break that frame on first contact. ### Pain Points - Deals are falling through because follow-up is too slow - His team is doing 4-hour manual tasks that should take 20 minutes - He paid for AI tools but nobody uses them because there was no integration plan - He's watching a competitor with a similar offer close business faster and he doesn't know why - His ops team is maxed out; adding headcount is expensive; he needs leverage ### Trigger Moment A deal that was "in the bag" didn't close because his team took 4 days to follow up and the prospect had already signed elsewhere. Or: Q1 review showed $80K in uncaptured leads in the CRM. He searches "AI revenue" and lands on Justin's content. ### Awareness Stage (typical first contact) **Problem aware.** He knows something is wrong with the revenue process. He does not yet know the solution is AI-enabled systems. Justin's content that names the specific problem ("$50K-$900K disappearing from slow follow-up") shifts him from problem aware to solution aware. ### What He Needs to Believe Before Yes 1. Justin has done this for real businesses, not just talked about it 2. The process will not require Marcus to learn anything technical 3. There is a clear before/after, not a consulting engagement that ends with a 40-page deck 4. The price is justified by the expected revenue recovery ### Proof He Needs - Case study with a number ("helped a client recover $X in 90 days") - The free AI Revenue Audit as a proof-of-competence moment (he sees how Justin thinks, not just what he charges) - Building-in-public content (40 agents) that shows Justin does this for himself too ### Channels Where Marcus Lives LinkedIn (passive scrolling, not posting), Google (searches for specific problems), referrals from other CEOs, in-person events ### How to Speak to Marcus Direct. No jargon without a plain-English translation. Lead with what he lost, not with what Justin does. Never open with technology — open with the revenue gap. The call to action is the audit, not a sales call. --- ## Persona 2: The Ops Director Under Pressure **Name (composite):** Danielle **Title:** Director of Revenue Operations / VP of Sales / Head of Operations **Company:** 50-200 employees, has some existing tech stack **Age:** 33-45 ### What's True About Danielle Her CEO just came back from a conference or read a LinkedIn post and decided "we need an AI strategy." She now owns that initiative with no budget, no roadmap, and a team that's already running at capacity. She is not opposed to AI — she's opposed to destabilizing what's already working. She has institutional knowledge of what broke the last time someone brought in a new system. She is the person who has to explain to the CEO why the expensive thing didn't work. She is also the person who, if she trusts Justin, becomes the internal champion who sells him into the organization. ### Pain Points - She was handed "AI initiative" without a clear mandate, timeline, or resources - She's been burned by tools that required 3 months of implementation before delivering anything - She needs to show her CEO a result in 60-90 days or the project loses funding - She's worried about her team resisting the change (or becoming afraid their jobs are being replaced) - She needs someone who will do the work, not just advise ### Trigger Moment CEO sends her the LinkedIn post about AI follow-up and says "let's do this." She starts researching implementation partners and lands on Justin's content about methodology. ### Awareness Stage (typical first contact) **Solution aware.** She already knows AI automation is the answer. She's now evaluating who to work with. Justin needs to demonstrate that he builds real systems, not just strategies — and that he will not create more work for her team during the implementation. ### What She Needs to Believe Before Yes 1. Justin understands operations, not just AI 2. The process is structured and won't require massive team bandwidth 3. She will have something to show her CEO by 90 days 4. Justin will handle the heavy lifting, including the change management ### Proof She Needs - Methodology explanation (the Revenue Recovery First framework) - Examples of implementations in businesses with similar ops complexity - A clear project structure with defined phases and deliverables - References or social proof from ops roles, not just CEOs ### How to Speak to Danielle Process-focused. Acknowledge the organizational constraint before pitching the solution. "Here's how we work around the integration challenges" beats "here's why this is great." She responds to specificity, not enthusiasm. --- ## Persona 3: The Franchise or Multi-Location Operator **Name (composite):** Ray **Title:** Regional Director / Multi-Location Owner / VP of Franchise Operations **Company:** Franchise system or multi-location service business (10-50 locations) **Age:** 40-58 ### What's True About Ray He is managing scale that makes individual optimization expensive. Staff turnover means training investment walks out the door every 6 months. Inconsistency across locations costs him reviews, referrals, and repeat business. Corporate is pushing AI adoption at the franchise level and he needs a partner who understands how franchise operations actually work. He has seen vendors pitch him tools and leave. He needs someone who knows franchising, has operated inside that world, and can build systems that don't require a PhD to maintain. ### Pain Points - Inconsistent customer experience across locations because processes depend on people - New hire training costs are high; onboarding is long; people still quit after 6 months - Corporate mandates AI adoption but doesn't fund it or provide implementation resources - Lead follow-up is inconsistent across locations — some locations close 70% of inquiries, others close 20% ### Trigger Moment Corporate conference announces AI initiative. Or: two of his best location managers quit in 90 days and he realizes the institutional knowledge walked out with them. ### Awareness Stage (typical first contact) **Problem aware.** He knows inconsistency is the core issue. He may not yet know that AI-enabled systems are the solution. Justin's content about lead recovery at scale shifts him toward solution awareness. ### What He Needs to Believe Before Yes 1. Justin has worked inside or closely with franchise operations (5 Star Painting speaking engagement, Supercuts, Neighborly — this is the proof) 2. The systems can be standardized across locations 3. He doesn't have to rebuild from scratch every time a manager turns over 4. The ROI math works per location, not just at the enterprise level ### Proof He Needs - Franchise-specific case studies or references - The 5 Star Painting speaking engagement (proof he's been in the room with franchise operators at scale) - A clear per-location cost/benefit framework ### How to Speak to Ray Franchise operators speak in unit economics. Per location, per head, per quarter. Speak their language. Lead with consistency and standardization before automation. The pitch is: "Build it once, run it everywhere, survive turnover." --- --- ## Bad Client Profile Use this profile to screen before the audit. If three or more of these signals appear in a discovery conversation, flag before proceeding. ### The Five Signals **1. Needs constant attention.** Checks in daily. Requires reassurance on decisions that were already made. Treats the engagement as a management relationship rather than a delivery relationship. Justin is not a fractional operator — he delivers running systems. **2. Undervalues AI-enabled work.** Believes that because AI is involved, the price should be lower. Does not understand that the value is in the judgment, the integration design, and the architecture — not the time spent on tasks. These clients negotiate against the method, not the scope. **3. Underfunded.** Has genuine enthusiasm but cannot cover the engagement without stress. Money conversations become frequent. Decisions slow down. Good work gets paused for reasons that have nothing to do with the work. The minimum commitment is six months. The math has to work before the engagement starts. **4. Thinks they're the AI expert.** Has read every AI newsletter, attended conferences, built a few ChatGPT prompts, and has strong opinions about the architecture before the audit is complete. This client will debate the build instead of letting it deliver. The right client says "I don't know how this works — that's why I hired you." **5. Process-controlling.** Wants to approve every step, review every workflow, and have sign-off authority on decisions that are inside the implementation scope. Caution is not the problem — process friction that delays delivery is. If a client needs two weeks to approve a follow-up sequence, the 30-day deliverable becomes 90 days. --- ## Awareness Stage Reference | Stage | What They Believe | Content That Works | |-------|------------------|-------------------| | **Unaware** | No problem consciousness | Pattern interrupts, surprising statistics ("$900K in missed revenue...") | | **Problem Aware** | "Something is wrong" but no solution in mind | Name the problem precisely, connect it to revenue | | **Solution Aware** | AI automation is the answer, evaluating who | Methodology, differentiation, proof | | **Product Aware** | Knows Justin exists, evaluating fit | Case studies, audit offer, testimonials | | **Most Aware** | Ready to buy, just needs terms | Clear offer, frictionless next step | Most inbound from content lands at Problem Aware or Solution Aware. The audit converts Solution Aware to Product Aware in one session.