Professional tools · Leaders Insights

Tools for marketing, data & finance

Calculators and simulators built on the latest market data, to make better media, budget, audience and finance decisions.

🧠 AI Toolbox

Skills, MCP, connectors & repos for Claude, ChatGPT, Gemini

A curated library, organized by domain (Marketing, Finance, Data & Digital, AI in daily work).

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Marketing
📊Available

Media Budget Allocator

Optimal allocation of your annual media budget

Allocate your media budget across channels, sectors and markets. Estimate reach, frequency, GRP and CPA against IAB/eMarketer/MAGNA 2026 benchmarks. B2B/B2C plan, 17 channels, 6 markets.

Media planningGRPReachBudget
Open →
🔻Available

Funnel Revenue Modeler

Project revenue from your budget

Model your full funnel and project revenue, CAC and ROAS. Sourced benchmarks by sector and sub-sector (40 verticals), with country modifiers, B2C e-commerce, lead gen and B2B pipeline.

FunnelCACROASRevenue
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📡Available

Share of Voice Estimator

Your share of voice vs. the market and its impact on your SOM

Estimate your SOV by sector and country, benchmark yourself against top advertisers and project the impact on your market share with the Binet & Field ESOV model (IPA Databank, 2,000+ campaigns).

SOVBinet & FieldSOMCompetition
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📈Available

Marketing Mix Modeler

Attribution and contribution by channel

Measure the incremental contribution of each channel to your business KPIs. Attribution model based on the latest MMM research (Meta, Google, Analytic Partners 2025).

AttributionMMMROIContribution
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✍️Available

Campaign Brief Generator

AI creative brief, ready to send to your agency

Generate a complete, structured creative brief in 2 minutes (objectives, audience, mandatories, deliverables) tailored to your sector and primary channel.

BriefCreativeAIAgency
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Data
🧠Available

AI Readiness Scorer

Assess your organization's AI maturity across 7 dimensions

35 questions based on the McKinsey, BCG and Gartner 2025 frameworks: Strategy, Data, Talent, Governance, Use Cases, MLOps, Culture. Score out of 100, radar, sector benchmark, 30/90/180-day roadmap and 25 recommended AI use cases.

AI maturityAssessmentCDOGovernance
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🏛️Available

Data Stack Recommender

Your tailored data architecture in 6 steps

Get a personalized data stack recommendation from 67 tools (Snowflake, dbt, Fivetran, Databricks, BigQuery, Kafka...), scored on 10 criteria: cloud provider, team size, budget, use case and volume. Includes layer-by-layer analysis and the 2026 reference Golden Stacks.

Data StackArchitectureCDO67 tools
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Finance
📉Available

Backscore

Market strategies graded on evidence

A catalog of 20 trading strategies and 20 long-term investment strategies graded A to E (evidence reliability), a simulator covering 29 market scenarios, a core/satellite allocation tool and a historical backtester (1972-2024) across 17 assets. Educational content, not investment advice.

TradingInvestingAllocationBacktest
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💡Available

DCF Modeler

Discounted cash flow valuation

Build a complete DCF model: cash flow projections, WACC, terminal value and sensitivity analysis. Suited to company valuation and deal preparation.

DCFWACCValuationM&A
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⚙️Available

Working Capital Simulator

Optimize your working capital requirement

Simulate the impact of your receivables (DSO), payables (DPO) and inventory (DIO) days on your working capital and cash position. Identify optimization levers by sector.

Working capitalDSODPOCash
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Methodology & sources

The benchmarks used in these tools come from: IAB Europe Ad Spend Report Q1 2026 · eMarketer Global Digital Ad Spending 2026 · MAGNA Global Ad Forecast Spring 2026 · WARC Global Ad Trends 2026 · Nielsen Digital Ad Ratings · WordStream 2024 Google Ads Benchmarks · Unbounce Conversion Benchmark Report 2024 · Baymard Institute 2024 · HubSpot State of Marketing 2025 · Salesforce State of Sales 2024 · Forrester Revenue Waterfall 2024 · Binet & Field / IPA Databank (ESOV model) · OpenView SaaS Benchmarks 2025 · Gartner SaaS Benchmarks 2024. Estimates are indicative and should be validated against your own historical data.