For Sales Teams

Sales teams hire me when leads are falling through the cracks, stages are meaningless, and no one trusts the pipeline data. I fix the process.

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Common Problems I Solve

"Our pipeline stages don't mean anything"

Deals sit in "Proposal Sent" for months. "SQL" is defined differently by every rep. The forecast is based on gut feel, not process. I replace arbitrary stages with predicate-based definitions — each transition requires specific, verifiable conditions to be met.

"Marketing passes us junk leads"

When MQL is defined as "downloaded a whitepaper" with no fit criteria, sales wastes hours qualifying people who were never going to buy. I work with both teams to define qualification predicates that separate fit from engagement, so sales only gets leads worth pursuing.

"Handoffs lose context"

Marketing generates an MQL, passes it to the SDR with a name and email, and the SDR calls with no context. The prospect repeats their story and loses patience. I design handoff protocols with required fields, context summaries, and automatic enrichment.

"We can't identify what's really in play"

A CRM full of stale deals looks like a healthy pipeline. I implement health scoring: engagement-based signals that decay over time, alerting reps when open deals go cold and highlighting which opportunities are genuinely active.

"We don't know why we lose deals"

"Closed Lost - No Reason" is the most common outcome in most CRMs. I build a loss taxonomy: categorised reasons, structured capture at close, and trend analysis so repeated problems get fixed.

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Key Solutions

• Fix Routing — Lead routing that gets the right leads to the right reps with fallback logic
• Audit Pipeline — Systematic diagnosis of stage definitions, handoff rules, and conversion gaps
• Model CRM — CRM data architecture that supports the sales process instead of fighting it

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What You Get

• Stage Definitions — Predicate-based lifecycle stages with clear transition criteria
• Handoff Rules — Marketing-to-sales SLAs, required fields, and automated context passing
• Loss Taxonomy — Structured categorisation of closed-lost reasons with trend reporting
• Health Model — Decay-based engagement scoring that separates active deals from stale pipeline

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Recommended Products

• Pipeline Audit — Bounded diagnostic engagement for broken demand flow and commercial friction
• Revenue Systems — Commercial systems design for lifecycle, routing, and reporting
• CRM Architecture — CRM schema, object model, lifecycle logic, and automation design

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→ Book a Consultation — Let's fix your pipeline data so you can trust it.

Or email directly: tim@hiretimothysolomon.com