---
title: "Marketing Cost Calculator: Your £1:£6 Ratio | Data Agents"
description: Enter your software spend, team size and cost per person to see your software-to-people ratio and what repeatable data work costs your marketing team.
---

[![Data Agents](https://data-agents.co.uk/hubfs/raw_assets/public/data-agents-theme/images/data-agents-logo-white.png)](https://data-agents.co.uk/?hsLang=en)

[Our approach](https://data-agents.co.uk/calculator#pillars) [Our work](https://data-agents.co.uk/calculator#cases) [Our thinking](https://data-agents.co.uk/thinking?hsLang=en) [DiagnosticAI](https://data-agents.co.uk/diagnosticai?hsLang=en) [Contact](https://data-agents.co.uk/calculator#contact) 

[Start with DiagnosticAI](https://meetings-eu1.hubspot.com/simon-spyer/discovery-call)

[![Data Agents](data:image/png;base64,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)](https://data-agents.co.uk?hsLang=en)

Marketing cost calculator

# Work out your *£1:£6* ratio

Most marketing teams spend about £6 on people for every £1 they spend on software. Licences get checked line by line. The time spent exporting data, reconciling reports and rebuilding the same segments sits inside headcount, where nobody prices it. Enter 3 numbers to see your ratio and what repeatable data work costs you.

## Your team

Example figures shown. Replace them with yours.

Marketing software spend a year

£

Licences for CRM, analytics, email, ad tech and other marketing tools. You can type 400k or 1.2m.

People in the marketing team

Full-time equivalents, including analysts and operations roles.

Average cost per person a year

£

Salary plus employer costs: National Insurance, pension and benefits.

Time spent on repeatable data work

25%

Your estimate of the team's time spent exporting data, reconciling numbers and rebuilding reports and segments.

Your ratio

£1 : *£5.3*

For every £1 on software, you spend £5.30 on people. The typical ratio is about £1 to £6.

Software**£400,000**

Other people time**£1.6m**

Repeatable data work**£525,000**

Repeatable data work costs you *£525,000* a year.

- That's **1.3 times** your whole software bill.
- About **55 days** per person each year. That's **1,650 days** across the team.

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## Find out where that time goes in your own data

DiagnosticAI is a one-week, fixed-fee audit of your customer data, tech stack and channel performance. AI agents run it on your live data and it ends in a clear action roadmap.

[Start with DiagnosticAI](https://data-agents.co.uk/diagnosticai?hsLang=en)

How it's worked out: your ratio is team cost (people × cost per person) divided by software spend. Repeatable work cost is team cost × the share you set. Days assume a 220-day working year.

Figures stay in your browser. Nothing you enter is stored or sent anywhere.

![Data Agents](https://data-agents.co.uk/hubfs/raw_assets/public/data-agents-theme/images/data-agents-logo-white.png)

From Data to Decisions. In Weeks.

Contact

- [info@data-agents.co.uk](mailto:info@data-agents.co.uk)
- [Schedule a call](https://meetings-eu1.hubspot.com/simon-spyer/discovery-call)
- [LinkedIn](https://www.linkedin.com/company/data-agents)
- [YouTube](https://www.youtube.com/channel/UCptDGE-mPOVC5ZxdMzjzmfQ)

Sitemap

- [Home](https://data-agents.co.uk/?hsLang=en)
- [DiagnosticAI](https://data-agents.co.uk/diagnosticai?hsLang=en)
- [Thinking](https://data-agents.co.uk/thinking?hsLang=en)
- [About](https://data-agents.co.uk/about?hsLang=en)
- [Privacy Policy](https://data-agents.co.uk/privacy-policy-data-agents?hsLang=en)

©2026 Foundry Data Ltd t/a Data Agents. Registered in England and Wales, company number 16257653. Registered office: 162-164 High Street, Rayleigh, Essex, SS6 7BS.

```json
{
  "@context" : "https://schema.org",
  "@id" : "https://data-agents.co.uk/#organization",
  "@type" : [ "Organization", "ProfessionalService" ],
  "address" : {
    "@type" : "PostalAddress",
    "addressCountry" : "GB",
    "addressLocality" : "Rayleigh",
    "addressRegion" : "Essex",
    "postalCode" : "SS6 7BS",
    "streetAddress" : "162-164 High Street"
  },
  "alternateName" : "Foundry Data Ltd t/a Data Agents",
  "areaServed" : "GB",
  "contactPoint" : {
    "@type" : "ContactPoint",
    "areaServed" : "GB",
    "availableLanguage" : "en-GB",
    "contactType" : "sales",
    "email" : "info@data-agents.co.uk",
    "url" : "https://meetings-eu1.hubspot.com/simon-spyer/discovery-call"
  },
  "currenciesAccepted" : "GBP",
  "description" : "Data Agents is a UK AI strategy and execution consultancy that builds AI agents for marketing teams. It turns marketing and customer data into decisions in weeks under fixed-time, fixed-price terms.",
  "email" : "info@data-agents.co.uk",
  "founder" : {
    "@id" : "https://data-agents.co.uk/about#simon-spyer"
  },
  "foundingDate" : "2025-02-17",
  "hasOfferCatalog" : {
    "@type" : "OfferCatalog",
    "itemListElement" : [ {
      "@type" : "Offer",
      "description" : "DiagnosticAI is a one-week, fixed-fee audit of your customer data, tech stack and channel performance. AI agents run it on your live data and it ends in a clear action roadmap.",
      "name" : "DiagnosticAI",
      "price" : "19495",
      "priceCurrency" : "GBP",
      "url" : "https://data-agents.co.uk/diagnosticai"
    }, {
      "@type" : "Offer",
      "description" : "A custom AI agent built around one data or marketing challenge. Deployed into the existing stack in six weeks.",
      "name" : "AgentLab",
      "priceSpecification" : {
        "@type" : "PriceSpecification",
        "minPrice" : "19495",
        "priceCurrency" : "GBP"
      }
    }, {
      "@type" : "Offer",
      "description" : "A full AI marketing programme with multiple agents, delivered in 12 weeks. Fixed fee, scoped before work starts.",
      "name" : "Accelerator"
    } ],
    "name" : "Data Agents services"
  },
  "identifier" : {
    "@type" : "PropertyValue",
    "propertyID" : "Companies House company number",
    "value" : "16257653"
  },
  "knowsAbout" : [ "AI marketing agents", "Single customer view", "Customer segmentation", "VIP and customer value scoring", "Loyalty and CRM analytics", "Generative engine optimisation (GEO)" ],
  "legalName" : "Foundry Data Ltd",
  "logo" : {
    "@type" : "ImageObject",
    "url" : "https://data-agents.co.uk/hubfs/brand/data-agents-logo-blue.png"
  },
  "name" : "Data Agents",
  "priceRange" : "££",
  "sameAs" : [ "https://www.linkedin.com/company/data-agents", "https://www.youtube.com/channel/UCptDGE-mPOVC5ZxdMzjzmfQ", "https://find-and-update.company-information.service.gov.uk/company/16257653" ],
  "url" : "https://data-agents.co.uk/"
}
```

```json
{
  "@context" : "https://schema.org",
  "@id" : "https://data-agents.co.uk/#website",
  "@type" : "WebSite",
  "inLanguage" : "en-GB",
  "name" : "Data Agents",
  "publisher" : {
    "@id" : "https://data-agents.co.uk/#organization"
  },
  "url" : "https://data-agents.co.uk/"
}
```

```json
{
  "@context" : "https://schema.org",
  "@id" : "https://data-agents.co.uk/about#simon-spyer",
  "@type" : "Person",
  "description" : "Simon Spyer founded Data Agents in 2025. He was previously CEO of Iris's global data-driven and performance marketing business and has 20 years of CRM, performance and data-led marketing experience on the brand and agency side.",
  "image" : "https://data-agents.co.uk/hubfs/raw_assets/public/data-agents-theme/images/simon-spyer.jpg",
  "jobTitle" : "Founder",
  "knowsAbout" : [ "CRM", "Performance marketing", "Customer data", "AI marketing agents" ],
  "name" : "Simon Spyer",
  "sameAs" : [ "https://www.linkedin.com/in/simonspyer/" ],
  "url" : "https://data-agents.co.uk/about",
  "worksFor" : {
    "@id" : "https://data-agents.co.uk/#organization"
  }
}
```