Switchbackswitchback

Stop quoting in spreadsheets.

Switchback is the AI-native pricing tool for teams who outgrew a shared spreadsheet but don't need... or want an enterprise CPQ that everyone hates. Scout reads every deal your team has closed and coaches each new quote in real time, so reps stop guessing and start pricing like your best rep.

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app.switchbackcpq.com/quotes/new
Bright Loop Inc · Simple SaaS Model
Platform Fee$5,000
Seats × 10$1,500
Total (annual)$6,500
Scout

Simple seat-based deal. 90% of similar quotes closed within 5% of list price.

Pricing confidence
94%
Based on 22 similar won deals
Acme Corp · Revenue Intelligence Platform
Platform Fee$10,000
Named Users × 40$4,000
AI Tokens (included pool)$2,400
Total (annual)$16,400
Scout

Similar deals this size closed at 12–15% off. You're at 10%, with room to hold the line.

Pricing confidence
86%
Based on 14 similar won deals
Vertex Robotics · Enterprise AI Platform
Platform Fee$25,000
AI Tokens (usage-based)$18,200
Outcome Fee (per resolved ticket)$9,600
Implementation (one-time)$12,000
Total (annual)$52,800
Scout

This blends usage and outcome pricing, so there are fewer comparable deals to lean on. Flagging for manager review before you send it.

Pricing confidence
58%
Based on 4 similar won deals
AI-native, not AI-bolted-on

Meet Scout, your pricing co-pilot

Scout doesn't just fill in a form. It reads your pricing model, your rate card, and every deal your team has closed, then coaches the rep building the quote in real time. And because it's built on the same data across your whole team, that coaching doesn't stop at the rep, it reaches the manager approving the deal and the leader steering the motion.

📥

Reads your rate card

Upload your pricing doc on day one. Scout turns it into a live model instead of a form you have to configure by hand.

🧠

Learns from closed deals

Confidence scores, discount bands, and comparable deals, all computed from what your team has actually won and lost.

🚦

Flags risk before you send

Thin comparables, unusual structures, or discounts outside the norm get surfaced for a second look, automatically.

1. Ask Scout
What should I quote Acme Corp for 40 seats, 2-year term?
For 40 seats over 2 years, the winnable range is 8–14% off, based on 14 similar won deals over the last 6 months. Want me to build that at 12%?
2. Get the recommendation
Confident
14 won deals · last 6 months
8%Winnable ~12%14%

14 won deals on this model clustered at 8–14% off in the last 6 months.

🔒 Above your 8% threshold — will need Sarah Osei's sign-off (L1)

The confidence score is computed from your real closed-won deals, not an AI hallucination. New reps price like your best rep on day one.

Coaching that doesn't stop at the rep

The same closed-deal data that guides a rep mid-quote also gives managers and RevOps something to coach with, instead of a hunch.

🧑‍💻

Reps

Real-time guidance while building a quote: comparable deals, discount bands, and risk flags before it ever gets sent.

🧭

Managers

The rep leaderboard shows who's over-discounting and who's leaving margin behind, so 1:1s start with data instead of a gut check.

📊

RevOps & leadership

Win rate, loss reasons, and model performance roll up automatically as deals close, not at quarter-end.

Scout is included on Growth and Growth+ · Pricing confidence is on Growth+

The problem

Where does your real pricing actually live?

If the honest answer involves a tab, a version number, or someone's memory, you already know how this ends.

🧮

Version chaos

Which tab is the real one? Reps duplicate, tweak, and email around “FINAL_v3” until nobody's sure what a customer actually agreed to.

🎯

No guardrails

Anyone can override any price. Without approval thresholds, discounting becomes a race to the bottom instead of a deliberate decision.

📊

No visibility

You can't tell what's winning or losing until it's too late, because nothing about that quote ties back to whether the deal closed.

Ease of setup

Live Before the Bottom of the 9th

Most CPQ rollouts take a quarter. Switchback takes an afternoon, sometimes less.

Faster to configure than a day game. Especially one that goes to extra innings.
1

Import your pricing model

Upload your current pricing doc or spreadsheet. Scout reads it and builds your first pricing model automatically.

2

Set your guardrails

Define discount thresholds and who approves what. Two minutes, and every quote after this one follows the rules.

3

Invite your team

Add your reps, assign roles, hit send. They're quoting real deals before lunch.

Under the hood

It's not just Scout in there.

Switchback handles the parts of a pricing motion that spreadsheets can't. It lets you price complex hybrid deals with confidence, keep every discount inside policy, see what's actually winning, and send proposals that look like you have your act together.

🧩

Hybrid pricing, natively

Seat, usage (flat, graduated, volume, stair-step), token-based, platform fees, outcome and milestone fees, all combined in one model. Legacy CPQ assumes SKUs. Yours doesn't have to.

🛡️

Guardrails that hold

L1–L3 approval thresholds, an approver chain frozen the moment a quote is submitted, and a full audit trail. Nobody quietly overrides a discount.

📈

Real analytics, not vibes

Win rate, discount depth, total contract value, rep leaderboard, and loss reasons, computed from your own closed deals. It's the same data Scout uses to coach every quote. Included on Growth and Growth+.

📄

Proposals that look the part

Branded proposal exports, plus a per-quote toggle for whether the buyer sees your discount math. Same quote, your call.

No calls. No procurement. Just pick the plan that fits your team.

Set up your first pricing model this afternoon, not next quarter.

Starter

$199/mo

For solo founders and early teams

Growth

$499/mo

For teams scaling past a handful of reps

Growth+

$799/mo

For RevOps running the whole pricing motion

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See full pricing →

Founder-built, founder-run. No funding round, no sales team... Just Matt, obsessed with supporting growing companies.