Pricekeel
Keep your pricing on an even keel.

Pricing

Built for the conversation, not the credit card.

We sell into pricing teams at $10–100M ARR B2B SaaS — that means an actual scoping call, not a self-serve checkout. Pick the closest fit and we will reply within one business day.

Engagements typically start in the low five figures; we share the structure on the first call.

First touch / pilot

Diagnostic

A one-time retrospective on your closed deals. The full diagnostic + per-deal Guidance on the dataset you send. Under NDA if you need one.

  • CSV / Excel upload, mapping reviewed locally
  • Win point + leakage lenses + packaging signal + trade-or-give
  • Per-deal discount Guidance with plain-language factors
  • Executive summary written from the figures
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Recurring engagement

Pricekeel Operate

Diagnostic + Guidance, refreshed on every new quarter of deals. Ask-your-Pricekeel on your team's actual policy and playbook docs. Lightweight Slack share-outs to the deal desk.

  • Quarterly refresh of the full diagnostic
  • Guidance available on the deals you're quoting now
  • RAG chat trained on your policy / playbook / decks
  • Email digests of new leakage and trade-or-give signals
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Final phase

Margin Enhancement

The Phase 3 contract / margin layer. Connect Salesforce or HubSpot + Stripe or Zuora; we read active contracts, special pricing agreements, and renewal terms. Margin gaps across the whole book, not just closed deals.

  • Native CRM + billing connectors (CSV today)
  • Active-contract analysis: SPAs, fixed discounts, renewal uplift gaps
  • Renewal / expansion / contraction metrics
  • Peer benchmarks once the base supports it
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Why we are not a feature inside a bigger tool

A fair pushback in any first call. Three honest reasons we sit apart from RevOps / sales-intel / CPQ.

  • Every decision is logged with its math

    Defensible to finance. A CPQ field cannot tell a CFO why an approval went through; our diagnostic is open code, not a black box.

  • Deterministic and auditable methodology

    Same data, same answer, every time. An LLM-driven RevOps tool cannot promise that — and a CRO will not stake a deal-desk decision on output that drifts.

  • Margin layer is a different data model

    Active contracts, special pricing agreements, renewal terms — that lives in your billing system, not your CRM. Different schema, different metrics, different product.

What CFOs ask in the first ten minutes

What is the proven ROI from existing customers?

We are in design-partner mode. The first diagnostic is free and under NDA. Numbers come from your own CSV; the methodology is grounded in published pricing literature (Simon-Kucher discount governance, Nagle on reference price, Rivera on packaging architecture) and every metric is reproducible code you can audit. Customer logos and ROI cases follow design partner work, not the other way around.

How does this integrate with our existing systems?

Today: a CSV or Excel export of closed deals from any CRM, and an XLSX / PDF / DOCX / PPTX of any pricing policy or playbook doc you want our chat to ground its answers in. Tomorrow (Phase 3, “Margin Enhancement”): native connectors for Salesforce, HubSpot, Stripe, Zuora, Snowflake.

What are the security and compliance measures?

Row-level deal data is processed in memory and deleted — never written to disk and never sent to a cloud LLM. The cloud LLM only ever sees aggregate figures, column header names, document chunks you upload, and your question, all under zero-retention provider terms. Full details on our privacy page (final review by counsel pending).

How we scope it

  • Diagnostic is a fixed one-time engagement — a few hours of your time to send the export and review the read-out together.
  • Pricekeel Operate is an annual contract; ACV scales with deal volume and the number of policy docs we index.
  • Margin Enhancement is custom — connector scope, contract data shape, and benchmark participation drive the number.