In manufacturing, sales cycles often stretch to 6–12 months—sometimes even longer—due to disconnected systems and siloed teams. RevOps solves this by aligning sales, marketing, and service in HubSpot, offering visibility and control that shave off months, improve forecast accuracy, and drive more wins.
Short answer: Multiple stakeholders, technical validation, and channel complexity drag things down. AI predicts cycles in manufacturing average around 130 days (about 4 months) from contact to close, though many extend to nearly a year depending on scope. Focus Digital, kevinharrington.com
The familiar story of a stalled deal:
A six-month journey with engineering buy-in leads to “Proposal Sent”—but three months later, procurement, compliance, and operations still haven’t engaged, and the deal has quietly died. Not a sales failure—an ops failure.
Each function—engineering, procurement, operations, finance—demands different proof points. No rapid VP sign-off here.
Prototyping and compliance checks are non-negotiable, but add weeks or months if not tracked.
Selling via distributors or OEMs obscures the pipeline and slows momentum.
ERPs, CRMs, spreadsheets—everyone’s looking at different data, so nothing gets done.
Q: Why do skilled reps still lose?
A: Because process fails them. Even top performers contend with issues like:
Vague stage definitions
Invisible deal velocity
Misaligned marketing collateral
Gut-based forecasts
Q: Can RevOps cut an 18-month cycle in half?
A: Not usually. But think minutes back, not magic. Removing wasted steps and closing visibility gaps can reduce cycles by 4 months or more—as one manufacturer experienced.
Enforce stage gates with proof required.
Use automated deal scoring to spot stalled opportunities.
ERP integrations give real-time cost and lead time.
Distributor data flows into HubSpot pipelines.
Executives watch both direct and channel sales in one view.
Deliver content by stage: ROI models for finance, spec sheets for engineers, compliance docs for procurement—exactly when needed.
Build weighted forecasts using historical conversion rates.
Dashboards track velocity, stage-to-close ratios, and pipeline risk.
One precision manufacturer:
Cut cycle time by 4 months.
Boosted forecast accuracy from 55% to 85% in just two quarters.
Reps closed more deals, chasing momentum not mirages.
Shorter cycles: Typical reductions of 20–33%, depending on case. Focus Digital, kevinharrington.com.
Reliable forecasts that leaders trust.
Higher win rates, because reps focus on qualified, moving deals.
Stronger channel relationships, because visibility breeds accountability.
| Metric | Before RevOps | After RevOps |
|---|---|---|
| Average sales cycle length | 12–18 months | 8–14 months (↓ 4 months) |
| Forecast accuracy | ~55% | ~85% |
| Win rate | 1 in 5 deals (20%) | 1 in 3 deals (33%) |
| Pipeline visibility | Fragmented (CRM only) | Unified (ERP + CRM + Distributor) |
| Rep focus | Chasing “ghost deals” | Prioritizing qualified deals |
| Executive confidence in data | Low (gut-driven) | High (data-driven) |
Q: How long are manufacturing sales cycles on average?
A: Roughly 130 days from contact to close—though when purchasing stages are included, cycles can span 6–12 months, and complex deals may stretch to a year. Focus Digital, kevinharrington.com.
Q: What’s a real example of RevOps impact?
A: One client trimmed four months off an 18-month cycle, improved forecast accuracy from 55% to 85%, and reallocated reps toward real, qualified opportunities.
Q: What channels are most efficient?
A: Inbound channels significantly cut sales timelines versus outbound; high-complexity inbound cycles still perform better. Focus Digital.
If your pipeline looks more like a stalled soup than a growth engine, you don’t have a sales problem—you have a RevOps problem. HubSpot isn’t just CRM; it’s the foundation of a RevOps strategy that aligns across teams and shortens your cycle—even in industrial-scale selling.