Results for “rates”

13 skills
More results
iterationlayer
extract-freight-bill-data
Extract carrier invoice, shipment references, rates, accessorials, taxes, and total charges from freight bills.
2
agricidaniel
ads-math
Calculate and model paid-media financial metrics including CPA, CPL, CPC, CPM, ROAS, MER, break-even targets, contribution margin, LTV:CAC, impression-share opportunity, budgets, forecasts, and experiment economics.
deanpeters
finance-based-pricing-advisor
Evaluate the financial impact of pricing changes using ARPU, conversion, churn risk, NRR, and payback analysis to make data-driven go/no-go decisions.
5.6k
deanpeters
finance-metrics-quickref
Look up SaaS finance metrics, formulas, and benchmarks fast. Use when you need a quick metric definition, formula, or benchmark during analysis.
5.6k
georgeqle
burn-rate
Estimate monthly burn rate from infrastructure signals and calculate payback period against revenue projections
1 · bundle
agricidaniel
ads-budget
Plan and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms.
bankrbot
hoodmarkets
Launch and trade tokens on hood.markets (Robinhood Chain) via the agent API, including deploy, buy, sell, and fee claiming.
1.2k · bundle
rulebase-co
cx-revenue-at-risk
Use to quantify the revenue exposed by unresolved support failures, complaints and escalations without inflating the number. Trigger for "how much revenue is at risk", "what are these support failures costing us", "revenue behind our open escalations", building a business case for fixing a support problem, or a revenue-at-risk figure that looks too large to believe.
1
lord1egypt
bank
Guides users through optimizing personal and business banking: choosing accounts, cutting fees, boosting interest, resolving disputes, and structuring finances.
2
enuno
wolf-howl
Runs a nightly automated retrospective on autonomous trading strategy performance, computing win rates, fee drag, holding period buckets, direction bias, and producing data-driven improvement suggestions.
1 · bundle