MotoPartPicker Go-to-Market Plan

Section 01

Positioning Statement

What MotoPartPicker is, who it's for, and how we describe it in 10 seconds or 30 seconds.

For motorcycle riders who waste hours researching parts compatibility, MotoPartPicker is a free compatibility tool that instantly shows what fits your specific bike with community-verified confidence. Unlike RevZilla's single-retailer OEM catalog or searching 42-page forum threads, we offer structured aftermarket compatibility data across all major retailers.

10-Second Pitch

"We're PCPartPicker for motorcycles. Free tool, community-verified fitment, multi-retailer prices."

30-Second Pitch

"Motorcycle riders spend 5–20 hours per modification researching which aftermarket parts fit their bike. They read forums, watch YouTube, and still buy wrong parts 15% of the time. MotoPartPicker eliminates this with a community-verified compatibility database and multi-retailer price comparison. Free for riders, monetized through affiliate commissions and retailer partnerships."

Tagline Options

"Every mod. Every bike. Confirmed to fit."

"No more wrong parts."

"We catch what AI misses."

"Verified by riders, not guessed by algorithms."

"What fits your ride."

"The community-verified parts bible."

Anti-LLM positioning — use this actively: ChatGPT and AI assistants confidently hallucinate fitment answers. Riders are starting to notice. Our advantage is not speed — it's verifiability. "Verified by riders, not guessed by algorithms" directly contrasts with AI-generated answers that sound authoritative but get fitment wrong. This is a durable moat: AI cannot substitute for a community that physically installed the part. Lean into this in all content and Reddit replies.

Why the PCPartPicker analogy works: It communicates instant credibility with technical audiences — they already understand the value proposition of a compatibility aggregator. It bridges a known mental model to a new market. Use this framing on Product Hunt, Hacker News, and with YouTubers.

Section 02

Target User Profiles

Three distinct segments with different jobs-to-be-done. Prioritize Maria for launch — she creates the most word-of-mouth per dollar.

Demographic note: The median rider age is ~50, but Gen Z is entering the market fast (Ninja 400 is the entry-point bike). 20% of new riders are women. Maria is not an edge case — she represents the growth cohort. Avoid hyper-masculine messaging in content. "Does this fit my bike" is a universal question.

Section 03

Channel Strategy

Two primary engines, three supporting channels. Reddit is the distribution layer at launch — not an afterthought. SEO is the long-term growth engine. Both cost $0 and compound. Based on Sasha's BrewGraph playbook, which drove the first 5,000 users through this exact Reddit-first approach.

Channel	Effort	CAC	Timeline	Scale Potential	Specific Tactic
Long-Tail SEO — PRIMARY 800 pages = ~40K monthly visits. Uncontested keyword territory.	High	$0 marginal	3–6 months to rank	Very High Compounds indefinitely	Every part/bike combination page targets one uncontested long-tail keyword. 20 bikes × 40 parts = 800 pages, estimated ~40K monthly visits at scale. Page title format: "[Part] Compatibility with [Year] [Make] [Model] — Verified". Each page requires: schema.org structured data, indexable (no JS gating), fast load (<2s LCP), mobile-friendly. Seasonal content layer: "Best mods for [bike] 2027" timed to spring buying wave (March–April). The 70% of purchases that happen March–September must be captured via organic — paid is not in the budget.
Reddit — PRIMARY r/motorcycles 2M+, r/SVRiders, r/FZ07, r/Ninja400, model-specific subs	Medium	$0	Immediate	Very High Instant, trust-driven, flywheel	1 post/week minimum. Find "does X fit Y?" and "what mods for my [bike]?" threads. Write a genuinely thorough answer — part numbers, gotchas, real experience. Link MotoPartPicker as a source at the end, not as the point. Target subs: r/motorcycles, r/SVRiders, r/FZ07, r/Ninja400, r/caferacers. Model-specific forums (SV650.org, ADVRider) are secondary. Rule: be the most helpful answer in the thread. The link earns trust — it doesn't replace it. This is the BrewGraph playbook: drove first 5,000 users this exact way.
YouTube FortNine 2.8M subs, Yammie Noob 2M+	Medium	$3–8 per user	1–3 months to arrange	High One video = sustained traffic	Partner with YouTubers doing bike build or mod videos. Offer tool integration into "what fits" segments — not a traditional sponsorship. Start with micro-channels (50K–200K). Easier access, more authentic, cheaper. Scale to FortNine tier once validated.
Word of Mouth "I found this tool that tells you what fits"	Low	$0	Compounds over months	Medium Depends entirely on product quality	Make the tool so good that sharing it feels obvious. Shareable result URLs ("see what fits my 2021 MT-07") accelerate this. No tactic here — WOM is a product quality metric, not a marketing tactic.
Retailer Outreach Email / phone mid-size retailers for Partner program	High	Sales cost	Month 6–12	High (B2B) $299–499/mo per retailer	Lead with the data story: "5,000 community-verified fits across your catalog categories." Offer 60-day free trial of Verified Partner listing. Don't start this before Month 6. You need data volume to make the pitch credible.

Long-Tail SEO — PRIMARY

High effort

CAC: $0 marginal • Timeline: 3–6 months

800 pages (20 bikes × 40 parts) targeting uncontested long-tail keywords. Est. ~40K monthly visits. Title format: "[Part] Compatibility with [Year] [Make] [Model] — Verified". Schema.org, indexable, mobile-friendly required on every page.

Reddit — PRIMARY

Medium effort

CAC: $0 • Timeline: Immediate

1 post/week answering compatibility questions on r/motorcycles, r/SVRiders, r/FZ07, r/Ninja400. Genuinely helpful answers that link MotoPartPicker as a source. Based on BrewGraph playbook — drove first 5,000 users this way.

YouTube Partnerships

Medium effort

CAC: $3–8/user • Timeline: 1–3 months

FortNine (2.8M), Yammie Noob (2M+). Integration into build/mod videos, not traditional ads.

Word of Mouth

Low effort

CAC: $0 • Timeline: Compounds over months

Shareable result URLs + an actually good tool. WOM is a product quality metric.

Retailer Outreach

High effort

Revenue: $299–499/mo per retailer • Start: Month 6–12

Email mid-size retailers about Verified Partner program. Don't pitch until you have 5K+ verified fits.

Section 04

First 100 Users Plan

A week-by-week playbook. Every action is specific — community, sub-reddit name, or content title. No "post on social media" generalities.

Week 1–2 (Pre-Launch)

Seed Reddit — Don't Announce, Participate

Find and answer active "does X fit Y?" threads on r/motorcycles, r/SVRiders, r/FZ07, r/Ninja400 — write the best answer in the thread, link MotoPartPicker as a source at the bottom
Establish presence on 3–5 model-specific forums (SV650.org, MT-07 forum, Ninja400 sub) before announcing — lurk, answer questions, build karma first
Seed compatibility data for the launch bike (MT-07 or Ninja 400): minimum 20 verified parts with affiliate links live on day 1
Personal DM outreach to 20 active forum contributors with 200+ posts — ask for feedback on the tool, not promotion

Week 3–4 (Launch)

Ship It — 1 Bike, 20+ Parts, Affiliate Links Day 1

Launch with MT-07 or Ninja 400 as the single featured bike — contribution flow live so the community can add data from day 1
Post on r/motorcycles: "I built a thing to solve the 'does X fit Y' problem — would love feedback" (not a product announcement)
Submit to Product Hunt — schedule Tuesday or Wednesday, have upvote momentum ready from early users
Publish Show HN post on Hacker News: lead with the problem ($1.2B/year in wrong parts bought)
Maintain 1 Reddit post/week cadence immediately — this is the distribution flywheel, not a one-time launch event

Month 2

Build Community Flywheel

Launch community contribution program: "Verified Fitter" badge system with public leaderboard
Partner with one motorcycle blog (RideApart, Revzilla's blog, or CycleWorld) for a feature article about the fitment problem
Start answering every "will X fit Y?" question on Reddit daily — log each one, track which bikes generate most questions
Email the first 100 users personally: ask what's missing, what worked, what confuses them

Month 3

Reward and Retain Contributors

Run "Data Bounty" campaign: $50 Amazon gift cards for top 5 contributors who verify the most fits
By this point, first 100 users should be active contributors, not just visitors — measure verifications/user/week
Publish a "State of the Database" post showing how many fits have been verified — transparency builds trust
Identify the 10 most active users and invite them to a private Discord channel as "founding community advisors"

Section 05

Content Strategy

Ten specific pieces to publish before or at launch. Each has a stated purpose — SEO, trust-building, or product explanation. No filler content.

Pre-Launch Content (10 Pieces)

These go live before Day 0. Content is an asset. Launch day should already have SEO seeds in the ground.

"The Motorcycle Parts Compatibility Problem (And Why Forums Can't Solve It)"

Manifesto + SEO anchor — establishes the problem narrative, targets "motorcycle parts compatibility" head term

"Best Mods for the 2020–2023 Kawasaki Ninja 400"

SEO content — targets highest-volume new rider bike. Embeds the tool with real results.

"Best Mods for the Yamaha MT-07"

SEO content — MT-07 community is large, mod-hungry, and active on forums.

"Best Mods for the Suzuki SV650"

SEO content — SV650 has one of the most passionate, upgrade-active communities in motorcycling.

"Best Mods for the BMW R1250GS"

SEO content — ADV segment, high AOV ($300+ mods). Targets Diana's customer base.

"Best Mods for the Honda CB300R / CB500F"

SEO content — entry-level Honda riders, large demographic, strong affiliate conversion.

"How MotoPartPicker Works" — Product Explainer Video Script

Trust + product — use this as a YouTube video. 3 minutes max. Show, don't tell.

"I Bought 10 Parts for My Ninja 400 — Here's What Actually Fit"

Narrative content — personal story format, highly shareable, shows the tool in real use.

"The Real Cost of Wrong Motorcycle Parts"

Data-driven — quantify the $1.2B problem. This is the pitch deck for retailers and press.

"Why Motorcycle Parts Fitment Is 15 Years Behind Cars"

Industry insight — Hacker News bait, press pitch material, differentiates from "just another parts site."

Long-Tail SEO Engine — Page Title Format

Every compatibility page targets one uncontested keyword. 20 bikes × 40 parts = 800 pages = ~40K monthly visits.
Title format: "[Part] Compatibility with [Year] [Make] [Model] — Verified"
Technical requirements per page: schema.org structured data, server-rendered (indexable), <2s LCP, mobile-first layout.

Exhaust Compatibility with 2021 Yamaha MT-07 — Verified Frame Sliders Compatibility with 2022 Kawasaki Ninja 400 — Verified Windscreen Compatibility with 2020 Suzuki SV650 — Verified best mods for [year] [bike] 2027 does [part brand] fit [bike] [bike model] [part type] compatibility [year] [bike] aftermarket accessories [part] for [bike] — what fits

Seasonal content layer: "Best mods for [bike] 2027" articles should be published in January–February to rank before the March spring buying wave. 70% of motorcycle parts purchases happen March–September. If you miss peak season, you miss the year. Time seasonal content creation 6–8 weeks ahead of March.

Content sequencing matters: Pieces 2–6 (the "best mods" articles) should go live 2–3 weeks before launch so they start accumulating impressions. Piece 1 (the manifesto) goes live on Day 0 alongside the product. Pieces 8–10 are for Month 1 PR and press outreach — they need the product to be live to link to.

Section 06

90-Day Launch Sequence

Day-by-day tasks for the first critical 90 days. The most important thing in Week 1 is not features — it's responding to every single comment.

Week 1–2 (Pre-Launch)

Build the Minimum Viable Data Set

Pick 1 bike: MT-07 or Ninja 400. Verify 20+ parts manually — install confidence, real affiliate links
Set up affiliate accounts day 1: RevZilla, Rocky Mountain ATV, Partzilla
Deploy on Netlify + Neon free tier — zero infrastructure cost
Build contribution flow so community can add data from launch day
Seed Reddit participation: answer 3–5 compatibility questions before announcing
Set up analytics: GA4 + schema.org structured data on all compatibility pages

Week 3–4 (Launch)

Ship — Reddit First, Not Build-and-They-Will-Come

Post on r/motorcycles: "I built a thing to solve 'does X fit Y'" — not a product announcement
Post in r/FZ07 or r/Ninja400 depending on launch bike — be model-specific
Hacker News Show HN at 9am ET — lead with the problem, not the product
Product Hunt launch — Tuesday/Wednesday, upvote team primed
Manifesto article goes live same day
Be online all day — reply to every comment within 2 hours

Month 1–2

1 Reddit Post/Week. No Exceptions.

Maintain weekly Reddit presence: find threads, write the best answer, link as a source
Target subs in rotation: r/motorcycles, r/SVRiders, r/FZ07, r/Ninja400, r/caferacers
Expand to 3 more bikes based on which Reddit questions get the most engagement
Publish "best mods" SEO articles for each new bike added
Log every Reddit thread answered — track which bikes drive the most inbound
Fix critical bugs within 24h. Respond to every piece of feedback personally.

Month 3–6

SEO Flywheel + Community Momentum

Analyze: which bikes/parts get most organic traffic? Double the SEO content for those
Publish seasonal "Best mods for [bike] 2027" articles timed to spring buying wave
Launch contribution gamification (Verified Fitter badges, leaderboard)
Run data bounty: $50 gift cards for top 5 contributors/month
Begin retailer outreach only when you have 1,000+ community verifications
Track weekly: affiliate CTR, verifications/week, organic search sessions

Seasonal Strategy: 70% of Purchases Happen March–September

March–September is peak motorcycle parts buying season. 70% of annual purchases concentrate in this window as riders emerge from winter and start their mod cycles. The 2-4 week launch target is correct — ship now, capture this season's traffic.

Seasonal content calendar: Publish "Best mods for [bike] 2027" articles in January–February each year so they rank by March. Spring is also when new riders take delivery of their first bikes — this is the highest-intent new-user acquisition window. Reddit activity also spikes in spring as riders return to forums with fresh mod questions.

Pipeline reframe: 600K new bikes are sold in the US each year. Each new owner enters a mod cycle — they are not existing riders who have "finished" modding. Optimize content and SEO for capturing new mod cycles, not retaining people who have already bought everything. The TAM refreshes annually.

Section 07

Metrics & Milestones

Clear targets at each stage. Revenue projections assume 6–7% blended affiliate rate on $120–180 AOV. Community health tracked separately from traffic.

Year 1

$30K

25,000 MAU

Affiliate-only

Year 2

$422K

100,000 MAU

+1,307% YoY

Week 1

500 signups / 50 active

First community posts live

Tracking only

Month 1

2,000 MAU

100 community verifications

First affiliate clicks

Month 3

8,000 MAU

500 verifications

$500/mo

Month 6

15,000 MAU

2,000 verifications

$2,000/mo

Month 12

25,000 MAU

5,000 verifications + 1st retailer sub

$5,000/mo

Verifications/Week

Community health signal. If this is flat after 3 months of effort, the contribution model isn't working.

Time on Site

Tool engagement proxy. Target: 3+ minutes average. Below 90 seconds means the tool isn't solving the job.

Retailer Click-Through

Monetization signal. Target: 8%+ of tool sessions result in a retailer click. This validates the affiliate model.

Kill Signal (Community Model Validation) If, after 6 months of active community-building effort, the top 10 bikes have fewer than 50 verified parts each, the community contribution model is not working at sufficient scale. At that point, the strategy shifts: either hire data contractors to build the database manually, partner with a single retailer for structured data import, or pivot to a different value proposition. Do not continue the existing strategy past this trigger — change something.

Section 08

Budget

Zero infrastructure cost at launch. Marketing spend is minimal because Reddit is free distribution. This is a true zero-cost-to-ship model.

Pre-Launch (Week 1–2)

$0 infra

Netlify free tier (hosting) + Neon free tier (Postgres). Domain ~$12/yr. No paid tooling needed to launch.

Month 1–3

$0–50/mo

Remain on free tiers until traffic justifies paid plans. Email via Resend free tier. Reddit distribution costs nothing.

Month 4–6

$100–200/mo

Upgrade hosting if traffic demands it. Optional: Ahrefs Lite ($99/mo) for SEO tracking. No paid ads — Reddit is the distribution layer.

Month 7–12

$300–500/mo

Data bounty gift cards ($50 × 5 contributors/mo), YouTube micro-sponsorships ($300–500 each, optional), scaled hosting. Affiliate revenue should cover this by Month 5–6.

Total Year 1 Investment

~$1,500–3,000

Infrastructure: $0 at launch (Netlify + Neon free tiers). Domain: ~$12. Marketing: $0 (Reddit is free). Scaling costs only kick in when traffic validates them. Affiliate revenue covers operating costs well before paid plans are needed.

Zero infrastructure
cost at launch.
Ships in 2–4 weeks.

The BrewGraph precedent: Sasha launched BrewGraph on free tiers, drove the first 5,000 users via Reddit, and never paid for distribution. The pattern works: answer questions genuinely, link your tool as a resource, let the community pull people in. Paid distribution is not the right lever at this stage — authenticity and relevance are. Reddit is free; being helpful is free. That's the entire marketing budget.