Pricekeel
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Salesforce deal guidance for B2B SaaS

Stopgivingawaypricethatwinsyounothing.

Price every discount exception before approval. Pricekeel reads your closed won-and-lost Salesforce Opportunities, recommends a guardrail for the live deal, and records the decision with evidence Finance can audit.

The sample runs the real engine on a synthetic 2,000-deal book.

Best fit: Salesforce orgs with 500+ closed opportunities a year, a documented discount policy, and an owner for it.

Built for RevOps · Deal Desk · PricingICP $20–100M ARR · usage or hybrid SaaSBuyer CFO / Finance

V1 governs the discount on committed, annualized ACV. Commitment-tier and overage-rate awareness are on the roadmap.

Billing and metering are consolidating into platforms: Stripe acquired Metronome in 2025, and Salesforce agreed to acquire m3ter in 2026. The usage data is getting locked up; the pricing-decision layer on top of it is still open.

Before approval, not after quarter close

One pricing decision, from Opportunity to audit trail

Pricekeel participates in the workflow your team already runs. It turns CRM history into a recommendation while the deal is still changeable, then records what the team decided and why.

V1 governs the discount on committed and annualized ACV. Commitment-tier and overage-rate awareness are on the roadmap.

Salesforce opportunity

Northstar Cloud · Expansion

Discount exception pending

Deal context

Account
Northstar Cloud
Product
Data Platform · Enterprise
Requested discount
23%
Contract
$420K ACV · 12 months

External context

Two competitor pricing changes and one investor-call signal, each linked to its public source.

Pricekeel recommendation

Hold at 16%

Illustrative deal

In the closest Enterprise expansion cohort, discounts above 17% did not improve win rate enough to offset the price given away.

Requested
23%
Guardrail
14–17%
Price retained
$29.4K
Evidence used47 comparable deals

Segment history · deal size · policy

Advisory context, does not move the guardrail

Public competitor sources

Decision controls

On decision

  • Append audit event
  • Capture evidence snapshot
  • Optional Salesforce writeback

Least-privilege read of Opportunity data. Writeback creates a Salesforce Task only, never an edit to Opportunity fields. OAuth tokens are encrypted and revocable.

  1. 01

    Read the live opportunity

    Pricekeel maps Salesforce Opportunity, Account, product, price, and outcome fields without asking reps to re-enter the deal.

  2. 02

    Price the exception

    The requested discount is compared with the closest historical wins and losses, the segment win curve, and policy. Cited public competitor context is shown alongside it as advisory information.

  3. 03

    Decide and write back

    Deal Desk accepts the recommendation or requests an override with a reason. The recommendation, evidence, actor, and reason stay together in an audit trail and can write back to Salesforce.

One system, three operating views

Each buyer sees the decision at their altitude

Reps do not need another dashboard. Pricing needs evidence. Finance needs control. Pricekeel gives each team a view of the same decision record instead of three versions of the truth.

Deal Desk + RevOps

Price the live exception

See the requested discount beside the recommended guardrail, closest comparable deals, and the expected-value tradeoff. Accept, trade, or override without opening an analyst ticket.

Exception cycle timeOverride ratePrice retained

Pricing

Improve the guardrails

Analyze realization and win rate by segment, product, customer, and discount band. Add cited competitor context, then trace every recommendation back to the evidence that produced it.

Price realizationWin rate by bandPolicy drift

Finance

Govern the value given away

Track price realization, discounts above policy, retained value, and who approved each exception. Add billing or ERP cost data before calling any output true margin.

RealizationAbove-policy valueAudit coverage

What you see when you click

The diagnostic, on a synthetic sample of 2,000 closed deals

Below is the actual structure of the page on /sample: KPIs, win-rate curve with the calculated win point, and the deal list to investigate. In the connected workflow, these numbers come from live Salesforce Opportunity history.

pricekeel.com/diagnostic
Booked value
$67.1M
1,215 won deals
Price realization
81.4%
avg discount 13.8%
Gap to reference win point
$11.2M
Pilot tests actual recovery · 16.7% of booked
Win rate
60.8%
2,000 opportunities

Price realization is dollar-weighted on won deals; average discount is deal-count-weighted, so the two figures differ by design.

Win rate by discount band
Win point at the 5 to 10% band; bigger discounts don’t buy more wins
0-5%
win point
5-10%
10-15%
15-20%
20-25%
25%+
Top deals to investigate
Lattice AI Corp.Enterprise40%$188K
Cobalt AI Inc.Enterprise27%$121K
Initech Systems IncEnterprise36%$106K
Fathom Digital LLCEnterprise24%$106K
See the full diagnostic on the sample data →

Illustrative figures from a synthetic 2,000-deal sample; not customer data. Your workspace reads Salesforce; CSV/XLSX remains available for onboarding and other CRMs.

The evidence stack

Start with CRM truth. Add context only where it is valid.

Native OAuth
Salesforce

Opportunity, Account, product, price, outcome, and approval context.

Cited context
Public competitor sources

Pricing pages, releases, case studies, interviews, funding news, and investor calls.

Required for margin
Billing / ERP

Cost data is a separate input. Pricekeel never labels a CRM proxy as true margin.

Required for application insight
Product telemetry

Usage context extends recommendations only after the data contract is validated.

Salesforce access is least-privilege read of Opportunity data. Optional writeback creates a Salesforce Task only, it never edits Opportunity fields. OAuth tokens are encrypted and revocable at any time.

V1 boundary

Discount intelligence from CRM evidence

Salesforce can support list-to-booked realization, win-rate patterns, and exception governance. True margin requires cost data from billing or ERP; application-level recommendations require product telemetry. Pricekeel does not infer either from CRM fields alone.

ABAdhithya Bhaskar, founder
Built by
Adhithya Bhaskar
Founder, M.S. Pricing, Simon Business School
Simon Business SchoolPricing + AI
Row-level deal data is processed in memory and deleted

The cloud LLM sees only aggregate figures, column headers, document chunks you upload, your questions, and customer-named public competitor pages. Never row-level deal data.

Built on named methodology, not vibes

Defensible to finance because the math has authors

Every signal feeding the Pricekeel decision record, the leakage lens, win point, packaging signal, and trade-or-give, is grounded in a published framework your Head of Pricing can cite when defending a discount approval.

Design-partner cohort

A 20-minute conversation, not a demo.

Tell us how discount exceptions get approved on your team today. No prep, no data, and no Salesforce credentials needed for the first conversation.