# Electrical Manufacturers — Switchgear & Panel Shops ## Who they are **Primary target: Estimators and Sales Engineers at small/mid switchgear manufacturers and panel shops (20-200 employees).** These are the people who receive one-line diagrams and specifications from contractors and engineers, then interpret those drawings into component bills for custom electrical assemblies — switchgear lineups, panelboards, motor control centers, transformers. Their workflow is fundamentally different from electrical distributors. Distributors select products from a catalog and mark up. Manufacturers BUILD custom assemblies — their quotes include fabrication labor, wiring, testing, and overhead on top of material costs. The takeoff is less about counting symbols on floor plans and more about interpreting single-line diagrams into component bills. **Titles seen on LinkedIn:** - Estimator / Chief Estimator - Sales Engineer / Application Engineer - Project Manager (at this company size, PMs often do the estimating themselves) - Quotation Manager - Engineering Manager **Company examples:** - Coastal Power Systems, PanelTEK, Goshen Engineering, RESA Power - Small panel shops and switchgear fabricators with 20-200 employees - Companies whose website says "custom switchgear", "panel fabrication", "engineered-to-order" **What their day looks like:** - Receive specs and one-line diagrams from contractors, engineers, or general contractors - Interpret the one-line diagram: identify breaker sizes, bus ratings, circuit configurations, metering requirements - Select and size components: breakers, busbars, enclosures, metering CTs, relays - Calculate material costs for all components - Estimate labor time for assembly, wiring, and testing - Add overhead and margin to build the final quote - Turnaround: 48 hours to 2 weeks depending on project complexity - Design adjustments from the engineer require recalculation from scratch **Who they are NOT:** - Large enterprise manufacturers (Siemens 315K employees, Schneider, Eaton, ABB) — they have in-house tools (Keyspot at Siemens, proprietary systems at ABB) and PMs cannot trial startup software - Pure lighting manufacturers (their input is lighting schedules, not one-line diagrams) - Companies with 1000+ employees (enterprise procurement processes kill startup adoption) ## Problems we solve - **Manual interpretation of one-line diagrams is slow and error-prone.** Estimators manually read one-line diagrams to extract breaker sizes, bus ratings, and circuit configurations, then type everything into spreadsheets or configurators. "Numerous manual steps — calculating material costs, estimating labor time, and considering various components like switchgear, wiring, and enclosures" are all done by hand. Manual data entry is "time-consuming and prone to error." - **Design changes mean starting over.** When an engineer revises the one-line diagram — a different bus rating, an added section, changed metering — the estimator recalculates from scratch. There is no automated way to diff the old drawing against the new one and update only what changed. - **Quoting speed determines who wins the job.** Custom quote turnaround ranges from 48 hours to 2 weeks. Contractors send the same spec to 3-5 shops. The first credible quote back often wins, especially on time-sensitive projects. Slow shops lose bids they could have won. - **Metering and optionality swing job value dramatically.** Per direct feedback from Noah Althuis (ABB): metering alone can swing a job $60K. Value engineering — offering the contractor alternative components at different price points — wins deals but requires even more manual work to quote multiple configurations. - **Component counting at scale is tedious.** For large switchgear lineups, the aggregate count of breakers by type/size is critical for accurate material costing. This counting is done manually and is exactly the kind of repetitive task where humans make mistakes. ## How Gink helps | Problem | Gink capability | Fit level | |---|---|---| | Manual one-line diagram interpretation | **Product gap today.** Gink currently extracts symbols from floor plans (lighting fixtures, receptacles, panels). One-line diagram interpretation (breaker sizes, bus ratings, circuit configs) is a different technical capability that would need to be built. | Future | | Aggregate component counting | Gink's core strength — AI counts and categorizes components from drawings. "Aggregate by count is huge especially for manufacturers" (Noah Althuis, ABB). | Strong partial fit | | Design change recalculation | Upload revised PDF, get updated BOM. Compare against previous version. | Partial fit (if one-line support exists) | | Quoting speed | Automated extraction reduces the front-end time before pricing can begin. | Partial fit | | Value engineering / optionality | Once components are extracted, generating alternate configurations becomes feasible. | Future | **Honest assessment of current fit:** Gink's existing capability (floor-plan symbol counting for lighting and power devices) is a partial fit for manufacturers. The core value proposition for this persona — interpreting one-line diagrams into component bills — requires product development beyond current capabilities. However, manufacturers also work with floor plans for panel schedules and device counts, and the aggregate counting capability is directly valuable. This persona is best treated as an adjacent market to monitor and build toward, not the primary sales target today. **Tools they use today:** - QuotePlan (RutamSoft) — switchgear quoting software - Eaton BidManager — Eaton-specific product configuration and quoting - Manufacturer-specific configurators (Siemens SIMARIS, ABB e-Configure, etc.) - Custom spreadsheets (Excel is still the dominant tool at small shops) ## Incentives ### Personal - Spend less time on tedious data entry from drawings into spreadsheets/configurators - Reduce errors that lead to margin-killing misquotes (wrong breaker count, missed metering) - Handle more quote requests without working nights and weekends - Look technically competent — "I found an AI tool that reads our one-lines" earns credibility with engineering-minded colleagues - At 20-200 employee companies, the estimator who finds efficiency gains gets noticed directly by ownership ### Company - Win more bids by quoting faster (first credible quote back often wins) - Improve margin accuracy — correct component counts mean correct material costs - Offer value engineering options (multiple configurations) without multiplying labor - Get more throughput from a small estimating team without hiring (hard to find experienced switchgear estimators) - Capture the metering and optionality revenue that gets left on the table when quotes are rushed ## Sales Navigator filters - **Job titles:** "Estimator", "Project Manager", "Sales Engineer", "Application Engineer", "Quotation Manager", "Engineering Manager" - **Industries:** "Electrical Equipment Manufacturing", "Appliances, Electrical, and Electronics Manufacturing", "Automation Machinery Manufacturing" - **Company size:** 11-200 employees (EXCLUDE 200+ to avoid enterprise) - **Keywords (company):** "switchgear", "panel", "panelboard", "switchboard", "transformer", "motor control", "electrical manufacturer", "custom electrical" - **Keywords (profile):** "estimating", "quoting", "one-line", "single-line", "BOM", "panel schedule" - **Geography:** US-wide - **Exclusions:** Companies with 1000+ employees. Exclude pure lighting manufacturers (their input is lighting schedules, not blueprints). Exclude "Inside Sales Representative", "Counter Sales", "Warehouse", "Driver", "Investor", "Board Member" ## Outreach angles ### 1. "Aggregate counts from your drawings in seconds" (counting efficiency) — MEDIUM-HIGH CONFIDENCE Lead with the capability that exists today: AI that counts and categorizes components from drawings instantly. Frame around the tedious counting work that estimators do manually. Reference the founder story (former EE, built PlanGrid). Under 60 words for DM#1. **Rationale:** This is the closest match to Gink's current capability for this audience. Counting/aggregation was called out as "huge especially for manufacturers" by Noah Althuis. Does not overpromise on one-line diagram interpretation. ### 2. "Former EE building AI for switchgear shops" (founder story + specificity) — MEDIUM-HIGH CONFIDENCE The founder story resonates strongly across all personas (11.3% reply rate vs 2.1% product-first). For manufacturers, add specificity: "I'm an electrical engineer who spent years reading one-lines. Now I'm building AI that does it." Open-ended CTA. **Rationale:** Founder-story-first is the proven formula from the playbook. Saying "one-lines" and "switchgear" signals domain knowledge and earns credibility with technical estimators. The ABB Account Manager who booked immediately was responding to a personalized, specific message. ### 3. "Quote more configurations without more labor" (value engineering angle) — MEDIUM CONFIDENCE Frame around the optionality/value engineering pain point. "What if you could quote 3 different configurations in the time it takes to do one?" Appeals to the sales-minded estimator who knows that offering options wins jobs. **Rationale:** Noah Althuis feedback confirms optionality is a key value driver. Untested as a messaging angle but grounded in real product feedback. Risk: may overpromise if the product cannot yet support configuration generation. ### 4. "Your contractors are sending you more complex specs" (market pressure) — LOW-MEDIUM CONFIDENCE Position as keeping up with increasing project complexity. As buildings get more complex (more metering, more circuits, more code requirements), manual quoting breaks down. AI is how you scale. **Rationale:** Untested angle. The complexity trend is real but may feel too abstract. Better as a follow-up message than a cold open. ## Persona-specific learnings ### From past campaigns **2026-02-pm-electric-manufacturer (22% reply rate, 8 replies, 0 conversions):** - Targeted LARGE manufacturers (Siemens 315K employees, Schneider, Eaton, ABB) — fundamentally wrong company size - 51% connection acceptance rate (highest ever) — PMs at large manufacturers accept LinkedIn connections readily, but acceptance does not equal buying intent - Replies: 4 "not the right person" redirects, 2 "we use our own tools" (Keyspot at Siemens, in-house at ABB), 2 mild interest but no follow-through - Content/audience mismatch: DM said "AI lighting agent" to switchgear PMs — completely wrong framing - 100% of engagement via LinkedIn, 0 email opens out of 28 received - Key insight: "Enterprise does not equal buyer. These are large manufacturers where PMs don't make tool decisions." - Recommendation from retro: "Target small-to-mid switchgear manufacturers instead. Companies with 20-200 employees where a PM actually does estimating and can trial software." **ABB Account Manager signal (from 2026-04-sales-electric-suppliers campaign):** - An ABB Account Manager booked a meeting immediately: "Absolutely, I have some time tomorrow afternoon, that sounds interesting!" - This was an individual contributor, not a PM who gets redirected — suggests manufacturer-side ICs may be more viable than PMs at large companies - The IC who does the work daily is more likely to trial software than a PM who delegates **Noah Althuis (ABB, CRM lead) product feedback:** - "Aggregate by count is huge especially for manufacturers" — confirms counting capability is valued - Optionality of parts for value engineering is a key workflow need - Metering can swing a job $60K — highlights the financial stakes of accurate quoting ### Key takeaways for next campaign - Target 20-200 employee companies where the estimator/PM actually does the quoting work and can trial software independently - Use founder-story-first framing, under 60 words, open-ended CTA - LinkedIn DMs only (email is dead for this audience — 0 opens in the manufacturer campaign) - Frame around counting/aggregation (current capability), not one-line interpretation (future capability) - Target the user (estimator, application engineer) not the decision-maker (VP, owner) — the user who tries it becomes the internal champion - Be honest about product fit: manufacturers need one-line diagram interpretation, which is adjacent to but different from floor-plan symbol counting. Lead with what works today, learn what they need for tomorrow.