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This is a demo workflow. We have not worked with this business. We found them on Google Maps and used publicly available information to build this example.
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| Landing Page Links | https://maps.app.goo.gl/bSNXRwAVJpup2STs7 https://primegarage.ie/ | | --- | --- | | Project Overview | PrimeGarage is a Dublin-based workshop (Unit 1, Naas Rd Business Park, Dublin 22, D22 N7N3) offering car maintenance and repairs, detailing and paint protection (paint correction, ceramic coating, PPF), window tinting, diagnostics, and performance-related services (including Stage 1/2 and performance tuning), plus tech integrations like CarPlay / backup camera installs. | | Advertising Budget | Demo assumption: €2,500 / month€ 1,600 Google Search (high-intent “mechanic near me”, “car detailing Dublin”, “window tinting Dublin”) €700 Meta retargeting (site visitors + engagers) €200 content/creative production (lightweight, monthly) | | Goals & Objectives | Generate a predictable flow of qualified leads for repairs + detailing in Dublin 22 / wider Dublin area. Increase bookings for high-margin detailing / paint protection services. Keep acquisition efficient: hit a sustainable CAC per booked job, then scale spend without degrading unit economics. | | Unit Economics | Demo model (assumptions for workflow testing):
Target CPL: €18–€30 (Search), €10–€20 (Retargeting)
Lead → booking: 25–35% (depends on call/CRM discipline)
Target CAC (per booked job): €60–€120
Payback: within 1 completed job for detailing; 1–2 jobs for repairs, depending on margin and repeat rate | | Product Price | Publicly listed examples on the website (for demo reference):
Detailing package: €250 / car
Premium package: €335.99 / car
Yearly packages shown: €2,400 / car and €3,800 / car |
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A roadmap broken down into individual goal-tasks — a step-by-step decomposition of the path to stable lead generation.
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The Buyer’s Journey is a simple three-step map of how a client moves: Awareness (finding the words for their pain), Consideration (comparing solution types), and Decision (choosing a provider).
It helps us match the right content and offer to each stage, so the person reaches a purchase with minimal friction.
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| Awareness Stage | Consideration Stage | Decision Stage | |
|---|---|---|---|
| The Buyer’s Journey — overall logic | Feels discomfort / friction, doesn’t know the term yet. |
Looks for words to name the problem and understand what to do about it. | Already knows what’s wrong and can name the problem (knows the term).
Explores ways to solve it: solution approaches, frameworks, and categories. | Has chosen the solution type and a general approach, now looks for someone to deliver it.
Compares providers of the chosen solution type: prices, approaches, terms. | | ‣ | Notices “something is off” (noise, warning light, odd behaviour) but can’t name the issue yet.
Feels risk and uncertainty: “If I ignore it, it might get worse.”
Searches in plain language: symptoms + “is it safe to drive” + “mechanic near me.”
Wants immediate reassurance and a clear next step (what to do today). | Can name the problem category (diagnostics, brakes, service, suspension, warning light).
Tries to reduce uncertainty by comparing approaches: “diagnose first” vs “replace parts,” what the process looks like.
Evaluates trust through signals: transparency, communication, speed, “no surprises,” how quotes work.
Looks for a garage that feels calm and competent, not chaotic. | Compares providers by: quote clarity, response speed, available booking slots, proximity, and perceived honesty.
Chooses the garage that gives the clearest plan: what will be checked, what it costs, what can change, and why.
Wants confirmation that follow-up is smooth: updates, approvals, and no extra work without consent.
Converts via the lowest-friction path: call, message, or booking link. | | ‣ | Notices the car looks “tired”: swirls, dull paint, minor scratches, water spots, messy interior.
Feels a social/identity itch: “My car doesn’t reflect how I want to show up.”
Searches visually first: “swirl marks,” “paint correction,” “ceramic coating,” “PPF,” “before/after.”
Wants proof that real transformation is possible, not just a temporary shine. | Understands solution types: correction vs detailing vs coating vs PPF; starts learning trade-offs.
Compares processes: number of stages, expected finish level, longevity, maintenance.
Evaluates quality via specificity: clear steps, realistic timelines, and evidence (close-up photos, test-spot logic).
Looks for a provider that treats it as craft: careful work, not a volume wash. | Compares providers by: portfolio quality, process transparency, expected outcome, time required, and “what’s included.”
Accepts a higher price if the deliverables are specific and the result is durable.
Books when they feel the provider will do real correction, not concealment.
Converts via an inspection / consultation: “test spot”, quote, booking slot. |
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This is the Buyer’s Journey with hypotheses. It’s built as a database where each entry is a specific touchpoint, clearly tied to the Awareness, Consideration, or Decision stage. Inside each card we capture the Target Audience, where the impact happens (channel/platform), the hook, and any traffic settings — turning the framework into a concrete set of actions.
For every touchpoint we score ICE (Impact, Confidence, Ease) with numeric weights, so priorities emerge from the system itself. The database is linked to Tasks, which makes it easy to turn a hypothesis into an actionable task right away. The map at the top is a quick reference that explains how to read this live dashboard, where the Buyer’s Journey and hypotheses sit together inside one prioritisation matrix.
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These are actions we hand back to you because they sit within your responsibility and decision-making authority.
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Here you’ll find the key assets we use to build and run the marketing strategy.
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A SWOT analysis is a four-part framework (Strengths, Weaknesses, Opportunities, Threats) where we capture insights about your business and the market. It helps us see where to double down, what to strengthen, and how to navigate competition — so we invest effort where it can generate the highest return.
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Desired Outcome Profile is a single, structured table where we capture the user’s desired outcomes, define the job requirements, and support them with evidence from reviews, interviews, and data. It helps us see which outcomes matter most and what criteria we’ll be judged by — so the solution maps to real needs, not assumptions.
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