Pricing Simulator

Configure and explain Talento commercial pricing.
1

Commercial Service

Select the commercial service you would like to configure.

2

Package

Select the fixed package that best matches the employer's hiring requirements.

3

Coverage

Select the geographical coverage and relevant specialisation groups.

Regional multiplier applies to the selected package.
Select one province. Its multiplier is applied to the price.
Multiple selection. Pricing adjustment applies by number of selected groups.

Commercial Summary

€0 excl. VAT
Included
    Platform features for every employer
    Choose a service to generate a transparent price explanation.
    Commercial Configuration V1

    Commercial Package Configuration

    Edit package construction, entitlements, prices and vacancy discount rules. All changes flow through the simulator and Revenue Planning.

    Base Case loaded. Edit any field to create a Working Case.

    Resume Database Packages

    Edit package names, durations, contacts, included vacancies and fixed package prices.

    Vacancy Publication Pricing Rules

    Edit the Standard unit price, quantity bands, publication periods and discount points.

    €

    Dependency and formula treatment

    Fixed database packagesEdited package price, contacts, vacancies and duration propagate directly.
    Standalone vacanciesUnit price × quantity × (1 − volume discount) × commercial multipliers.
    Revenue PlanningPackage selectors and forecast transaction values refresh from the Working Case.
    Saved forecastsNewly saved scenarios include a snapshot of the active commercial configuration.

    Promotion Levels

    Higher tiers contain only visibility and AI matching promotions. Core platform tools remain available to all employers.

    Geography & Multipliers

    Regional and subregional pricing coefficients used by the vacancy pricing engine.

    How multipliers are determined Methodology, evidence and governance
    Multipliers are commercial pricing coefficients informed by labour-market and economic evidence. They are not direct reproductions of any single official statistic. The current values should be treated as calibrated planning assumptions until Talento has sufficient first-party conversion, demand and time-to-fill data.

    1. Geographic multiplier

    The regional coefficient is intended to reflect the relative commercial value and recruitment conditions of each Italian market.

    • Economic capacity — 35%: GDP per capita, household disposable income and value added.
    • Labour demand — 25%: planned hires, employer demand and employment growth.
    • Recruitment scarcity — 25%: roles reported as difficult to fill and candidate shortages.
    • Employer-market density — 15%: concentration of employers, professional roles and major business centres.
    Regional Score = 0.35 × Economic Capacity Index + 0.25 × Labour Demand Index + 0.25 × Scarcity Index + 0.15 × Employer Density Index Regional Multiplier = MIN(1.20, MAX(0.85, Regional Score))
    Current status: planning calibration

    2. Province / subregion adjustment

    Province-level adjustments are currently inactive in Revenue Planning. The retained model is designed as a future refinement for major metropolitan and specialist hiring centres.

    • 1.00: standard province.
    • 1.02–1.05: strong provincial employment centre.
    • 1.06–1.10: major metropolitan or national hiring centre.
    Final Geographic Multiplier = Regional Multiplier × Province Adjustment

    Potential drivers include vacancy concentration, employer density, average remuneration, head-office concentration, specialist-role intensity and hiring competition.

    Current status: inactive

    3. Specialisation multiplier

    Specialisation groups currently remain neutral at ×1.00. The methodology below defines how future differentiation should be calibrated.

    • Difficulty to recruit — 35%
    • Employer demand — 25%
    • Compensation level — 20%
    • Required qualification — 10%
    • Commercial urgency — 10%
    Specialisation Score = 0.35 × Scarcity + 0.25 × Demand + 0.20 × Compensation + 0.10 × Qualification + 0.10 × Urgency Suggested Range: 0.95–1.15
    Current status: neutral ×1.00

    4. Pricing formula

    The multiplier framework affects vacancy pricing only where the relevant commercial rule permits it.

    Final Vacancy Price = Base Price × Region Multiplier × Province Multiplier × Specialisation Multiplier × Promotion Multiplier × Quantity × (1 − Volume Discount)

    Composite Resume Database + Vacancy packages remain fixed products and are not automatically rebuilt from the standalone vacancy base price.

    Evidence base and references

    Governance: multiplier values should be reviewed at least annually. Once Talento has sufficient transaction history, the model should incorporate first-party evidence such as quote conversion, realised price, employer segment, vacancy response, time-to-fill, candidate scarcity and repeat purchase behaviour. Any change should be versioned, approved and accompanied by a short calibration note.

    Specialisation Taxonomy

    Shared source of truth imported from the supplied hh.ru-derived spreadsheet.

    Quotes & Orders

    QuoteEmployerServiceAmountStatus
    Q-2026-0142Example Employer SRLVacancy Publication€3,296Draft
    Simulations1,284+18%
    Quotes created31224.3% conversion
    Avg. quote€4,860
    Promotion mix43%with promotion

    Commercial mix

    Database only 34%Database + Vacancies 28%Vacancy Publication 38%Optimum most selected

    Pricing settings

    Governance

    Changes to fixed entitlements, multipliers and promotion definitions require approval and versioning before publication.

    V1.4.2 Revenue Model

    Revenue Planning

    Build a 12-month commercial forecast for one employer segment at a time.

    Forecast Revenue€0Cash basis
    New Customers0Across forecast period
    Forecast Transactions0All product purchases
    Revenue per Customer€0Average forecast value
    Average Transaction€0Blended package value
    Revenue Growth0%First to final month

    Monthly Revenue

    Projected cash revenue generated by the selected employer segment.

    Revenue Mix

    Contribution by commercial service family.

    Vacancies Database Composite

    Customer Acquisition

    Revenue by Geography

    Expected contribution after regional pricing adjustments.

    Revenue by Specialisation

    Expected contribution by employer hiring category.

    Vacancy Revenue by Promotion

    Vacancy revenue contribution after promotion multipliers.

    Forecast Setup

    New Customer Acquisition

    Enter the expected number of newly acquired paying customers for each month.

    Product Purchase Frequency

    Average purchases made by each newly acquired customer during the forecast year.

    Commercial Pricing Assumptions

    Select a representative package and define the annual price uplift for each service family.

    Advanced Commercial Assumptions

    Commercial Mix Modelling

    Allocate the expected commercial mix across every Italian region and all parent specialisation groups. Each parent panel should total 100%.

    Province and role detail is currently locked. Enable Advanced Forecasting Mode above to expand regions and specialisation groups.

    Geography Allocation Advanced detail

    Regional pricing mix
    ×1.000

    Specialisation Allocation Advanced detail

    Hiring category mix
    ×1.000

    Promotion Allocation

    Applies to Vacancy Publications
    ×1.000
    Overall Commercial Multiplier
    Geography includes the selected province mix. Specialisation currently remains commercially neutral. Promotion applies separately to Vacancy Publications only.
    ×1.000

    Monthly Revenue Forecast

    Revenue is recognised on a cash basis when purchases occur.

    Base Case · SME

    Scenario Comparison

    Compare Conservative, Base and Growth forecasts side by side. Scenario calculations use the current packages, commercial mix, forecast horizon and employer segment.

    Monthly Revenue Comparison

    Projected monthly revenue across all three scenarios.

    Conservative Base Growth

    Detailed Comparison

    Custom Scenarios

    Save the current assumptions or duplicate a preset as a session-based custom scenario.