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Deal desk. Approvals on rails.

Define discount tiers, approvers and SLAs. Test a live deal against the matrix and export the policy.

Approval matrix

Live deal check

Final price

$39,000

after discount

Revenue given up

$11,000

vs list

Benchmark

Routes to: Director, Sales

SLA: <24h. Above this threshold the deal jumps to the next tier.

Reps ask for less discount when buyer intent is clear from the first call. Catch before they bounce scores every website visitor by intent so your team focuses on the ones likely to buy. Try it free →

How it works.

approver = first_tier_where(discount ≤ threshold) · revenue_given_up = list_price × discount%

Tier thresholds should compress over time. Year 1: be generous to win logos. Year 3+: tighten. Track average discount per quarter — if it creeps up, the desk has lost its teeth.

FAQ.

What is a deal desk?+

A deal desk reviews non-standard deals (discounts, custom terms, legal redlines) before they're signed. It centralizes pricing decisions so reps aren't negotiating in isolation.

What discount levels need approval?+

Common tiers: AE approves up to 10%, manager up to 20%, director up to 30%, VP Sales above. CFO sign-off when discount exceeds 40% or contract value crosses a material threshold.

Should the deal desk slow deals down?+

Good deal desks compress decision-time, not extend it. SLA targets: <24h for tier 1, <48h for tier 2. Slower than that, reps route around the desk and you lose pricing discipline.

Who staffs a deal desk?+

RevOps owns it. Finance and Legal sit on standing reviews for material deals. At smaller scale (<$10M ARR) one RevOps lead is enough; above that you need a dedicated deal-desk function.

Discount approval vs term approval?+

Discount = price reduction. Term approval = anything non-standard (annual vs monthly billing, net 60+ payment, custom indemnity). Both should be tracked; both should trigger approval routes.

Tighten pricing without losing deals.