pickitbox
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For B2B finance and leadership teams
See how a price change, a new contract or a product investment could affect revenue. Find the conditions that turn a gain into a loss.
Bring us one decisionStart with public data. Add company totals when needed.
The software connects a proposed change to the numbers management needs to review.
Pricing
Test price rises, discounts and changes in paid usage. Check when contracts allow the new price to apply.
Revenue scenarios, eligible revenue, the break-even volume loss and the assumptions that drive the result.
Contract terms
Compare monthly and annual payment, discounts and renewal timing. Track cash collected alongside earned revenue.
Cash timing, revenue given up, required extra paid volume and the effect of assumed offer uptake.
Product investment
Test a paid feature or a new service against its launch cost, running cost and time to market.
Required paid adoption, cost recovery and the effect of a late launch or a cost overrun.
Use the result in a budget review or a board discussion.
Enter the company, the proposed change and the period. Add revenue history for a forecast, or the affected totals and response assumptions for a decision calculation.
Public sources provide business context. Company totals help calculate the money at risk. Customer identities are not required.
We test financial forecasts on historical quarters with dated inputs and fixed calculation rules.
34.5%lower average scaled revenue error
Against a simple trend across 24 quarters at Okta, PagerDuty and GitLab. The method also reduced error by 36.5% against company guidance.
18.6%lower average scaled revenue error
Against trend across 23 scored quarters at Box, Domo and Yext during 2020–2022. One selected quarter lacked the required reported figures.
These historical results measure total quarterly revenue forecasts. These tests do not measure the effect caused by a specific pricing, contract or product decision. Results varied by company. Shortfall detection remains untested because the eligible quarters contained no guidance-floor misses.
Read the method and all resultsStart with the company, proposed decision and timing. We can then identify the figures that matter. For pricing, this is often eligible revenue and realized price. For investment, it is cost, margin and a paid-demand assumption. You can keep customer identities private.
AI helps gather public evidence and identify questions to check. Mathematical rules calculate the financial scenarios. Each result states the available facts and the assumptions that drive it.
Published prices, financial reports and contract terms can establish a starting point. Your affected revenue, discounts and customer response can require internal totals or explicit assumptions. We identify those gaps in the brief.
Send an enquiry with the decision type you need. Workspace access is currently restricted. We will explain the supported inputs and outputs before you provide private figures.
Tell us in one or two sentences. We will reply by email to discuss software access and the data your decision needs.