#sales
#1 — Delegating sales without systematizing the founder's judgment kills conversion — even when the top of funnel is completely healthy.
Situation: A B2B customer support company doing $20M+ was generating 70–80 MQL/month, stable, with a consistent 10% no-show rate. The founder had been closing every deal personally for two years. He hired two reps and stepped back. Within four quarters: 30 new clients/year became 4–5 per quarter. Lead volume unchanged. Reps running 40+ conversations/month each.
Problem: The breakdown wasn't capacity — it was judgment. Which accounts to prioritize, when to customize a proposal, when to push, when to walk. None of that was ever documented. It lived in the founder's head and stayed there when he handed off the calendar.
Fix:
Audit the last 20 lost deals: listen to recordings, read proposals, find the actual pattern
Convert the founder's qualification logic into a scoring rubric — not generic criteria, the specific reasons past deals were won or walked
Keep the founder on high-touch accounts until reps demonstrate a proven close rate on that segment
Benchmark: Top B2B sales reps close ~30% of qualified deals vs. ~20% for average reps — and the gap appears on day one of founder handoff, not after months of ramp — SaaStr.
→ Action item: Block two hours this week. Listen to five lost deals. Write down what you would have done differently at each stage. That gap is your sales playbook.
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#people-management
#2 — A flat salary for an account manager selects for the wrong person. The comp structure is the filter, not the budget.
Situation: A ~150-person Ukrainian IT outsourcer has been searching for a senior account manager for months. Candidates from large firms quote $5–6K. The flat-salary market at $2.5–3K is thin — mostly candidates who want a paycheck, not ownership.
Problem: The role requires someone who thinks like a business partner: proactive account protection, upsell identification, retention ownership. That profile negotiates for OTE, not base. A flat-salary posting signals "administrative role" and filters out everyone the company actually needs.
Fix:
Base: $3.5–4K. Variable: 30–40% tied to account revenue growth, client retention rate, and margin contribution
Make the variable a formula — visible, calculable, paid monthly — not a discretionary "we'll see" bonus
Lead with OTE ($5.5–6K) in the job post; use the candidate's negotiation behavior as the filter: the ones who push base up instead of OTE up are the wrong hire
Benchmark: NRR-linked comp restructuring drove one SaaS company's net retention from 96% to 112% in three quarters — QuotaPath.
→ Action item: Before the next job post for this role, restructure the comp model. The change costs nothing. The wrong hire costs six months.
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#account-management
#3 — "Staff provider" vs. "delivery partner" is a contract clause, not a relationship question. Change the clause, change who you negotiate with.
Situation: A 40-person custom dev company doing ~$2M had a long-term US-based client. Constant micromanagement: sprint priorities dictated, individual developers directed, rate pressure at every renewal. The relationship felt stable. The commercial trajectory was heading down.
Problem: The contract: named headcount, hourly billing, zero outcome accountability. The client had every structural reason to behave that way — they were paying for specific people, so they managed specific people. No outcome accountability on the vendor side meant no leverage to reframe the relationship.
Fix:
Roles instead of names in the contract (eliminates the structural justification for individual-level management)
Delivery manager included in the engagement — owns sprint velocity, escalation, and client reporting — not billed separately
SLAs for response time and incident escalation written into the agreement; this reframes the engagement from supervision to partnership
Benchmark: Outcome-based contracts increase customer willingness to pay by 20–30% — McKinsey.
→ Action item: Pull your three biggest client contracts. If they name individuals and price by the hour with no outcome accountability, the next renewal is your restructuring window.
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#marketing
#4 — Conferences generate pipeline on a 6–12 month lag. Measuring ROI at 30 days is how companies cut the events that actually work.
Situation: An IT company's sales team was deciding which conferences to drop based on lead counts 30 days post-event. High-quality events with senior decision-maker attendance were on the chopping block. Budget reallocation already in motion.
Problem: Senior decision-makers who have a real conversation at a Q1 event sign in Q3 or Q4. That's not a slow sales cycle anomaly — that's the normal enterprise B2B cycle. Evaluating events at 30 days is measuring a lagging indicator as if it were a leading one. The result: companies exit events precisely when those events are about to pay off.
Fix:
Segment all contacts within 24 hours of returning: A (real conversation + active intent), B (meaningful introduction), C (badge scan or quick hello)
Send personalized follow-up within 48 hours — reference the actual conversation, not a template sequence
Track A-contacts in CRM for 12 months; that number is the real ROI metric, not badge scans or booth traffic
Budget informal side events (happy hours, coffee breaks, dinners) as intentionally as booth space — they consistently produce better A-tier relationships
Benchmark: Only 23% of companies track event ROI beyond a 30-day window — the other 77% cut budget before the pipeline ever arrives — Eventique.
→ Action item: Go back to the last three events your team attended. Count how many A-priority contacts are in CRM with an active, personalized follow-up sequence right now. That number is your actual conference ROI.
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#strategic-management
#5 — Validate market access before market size. A $6K pilot tells you what $80–120K of failed outbound discovers six months later.
Situation: An IT services company doing ~$4M, with 70% of revenue in EdTech, was planning expansion into adjacent verticals. Default plan: hire outbound reps and let them test the market. Total cost of that plan: $80–120K and 6–9 months before you know if the niche responds.
Problem: A niche can be large and still impenetrable from current positioning. Confusing "we have a TAM" with "we can sell into it" is the most expensive strategic mistake in IT services expansion. The signal that the niche doesn't respond surfaces in week six of structured research. With a live sales team, it surfaces in month seven.
Fix:
Phase 1, 2 weeks — Niche scoring: rank 15–20 potential verticals across 8 criteria (market size, competition density, buyer urgency, ability to pay, proof points, avg deal size, sales cycle, reachability via existing channels)
Phase 2, 1 week — Organic signals: find where buyers in target verticals already engage with adjacent content (LinkedIn groups, Slack communities, industry events)
Phase 3, 3 weeks — 10–15 buyer interviews: test not "would you buy?" but "do you recognize the problem we solve?"
Benchmark: 65% of failed market expansions trace back to inadequate pre-entry research, not execution — McKinsey.
→ Action item: Before the next outbound hire for a new vertical, run the $6K validation pilot. Six weeks. Clear go/no-go decision. Then hire.
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— Artur, Wiseboard