Digital marketing and AI budget 2027: how to build it in 5 decisions

A digital marketing budget is the annual allocation of resources (media spend, technology, content, data and team) that a company dedicates to winning and retaining customers in digital channels, tied to measurable business goals. In 2027 it also has to include an explicit line for artificial intelligence and another for visibility in generative engines (GEO), two lines that most companies still do not budget for.

If your 2027 budget is the 2026 budget plus 10%, the problem is not the figure: it is the method. This guide is designed so that the CEO, CMO and COO walk into the budget meeting with a defensible model, calculated from the revenue target and reviewable every quarter. Committees close budgets between October and November, so the time to prepare it is now.

A marketing budget is not defended with a number, it is defended with a method. If the committee does not understand where each euro comes from, it cuts it on instinct.

Lola Rodríguez, Growth Manager at CRONUTS.DIGITAL

# Why the 2027 budget cannot be the 2026 budget + X%

Incremental budgeting works when the environment is stable, and digital marketing in 2027 is not. Three structural changes coincide in the same year and force you to rethink the method, not just tweak the figure.

1. Search is splitting in two

A growing share of searches is resolved inside ChatGPT, Gemini, Perplexity or Google’s AI Overviews, without a click to any website. If your company does not appear in those answers, you lose demand without any report recording it: the user never reached your site, so no metric drops. We cover this in our article on zero-click searches.

2. AI makes production cheaper, but not transformation

Producing text, creatives, video or code costs a fraction of what it did two years ago. But the savings in production do not turn into results if nobody redesigns the process, trains the team and measures the impact. That is where the real cost of AI sits.

3. Paid media is saturated

CPCs are rising, platform attribution is less and less reliable and many companies pay for conversions that would have happened anyway. Without measuring incrementality, paid media becomes a tax.

The conclusion for leadership is clear: the 2027 digital marketing budget must be built from business results, not from last year’s supplier list. To organise it, you need a simple framework.

# The Run · Grow · Transform framework for allocating the digital marketing budget

Run · Grow · Transform is a framework that classifies every euro of the digital budget into three boxes (maintain, scale and bet) plus an unallocated fund. It adapts the classic 70/20/10 model to the digital and AI reality, and it lets you explain to the committee what each line is for.

Example: a €400,000 digital marketing budget

The reallocation fund is the piece that adds the most value and the one fewest companies use. It is released in quarterly reviews in favour of the initiatives that have beaten their KPIs. That way the budget rewards what works instead of repeating what was decided in October.

The percentages depend on maturity: a company with a weak digital base will need more Run in the first year; a very mature one can raise Transform to 20%. To know which case you are in, the first decision is to measure your starting point.

# Decision 1: know where you start before setting the budget

A digital maturity diagnostic is the analysis of a company’s measurement, website, channels, AI use and visibility before deciding how much to invest. A company at level 2 out of 5 that invests like one at level 4 buys tools it cannot use and campaigns it cannot measure.

Before discussing figures, the committee needs answers to five questions:

1. Is measurement reliable? Do GA4, the CRM and the ad platforms tell the same story?
2. Does the website convert? What is its conversion rate and how does it compare with the sector?
3. Where do customers come from today? What % depends on a single channel?
4. What level of AI use does the team have? Individual and anecdotal use, or redesigned processes?
5. Do we appear in AI answers when someone looks for a supplier like us?

If the answer to the first question is “no”, the first line of the digital marketing budget is fixing measurement. Everything else would be decided with false data.

# Decision 2: calculate the total digital marketing budget bottom-up

The bottom-up calculation means starting from the revenue target and working back through the sales funnel to get the required investment, then comparing it with the percentage of revenue. The percentage of revenue works as a reference, but it does not explain why that amount is being invested.

The calculation step by step

1. New revenue target ÷ average ticket = new customers needed.
2. Customers ÷ close rate = opportunities needed.
3. Opportunities ÷ lead-to-opportunity conversion rate = leads needed.
4. Paid leads × cost per lead (CPL) = media investment.

Worked example

A B2B services company with €10M in revenue that wants €1.5M in new revenue in 2027:

To that media investment you add the lines that make it possible: website, technology, content, SEO and GEO, AI and team.

The top-down cross-check

According to the Gartner CMO Spend Survey 2026, the average is 7.8% of revenue. That figure covers all marketing (team, agencies, media, technology), not just digital, and comes mostly from large companies.

• If your calculation comes out well below the reference percentage, you are probably underestimating CPL or overestimating conversion rates.
• If it comes out well above, the revenue target is not realistic with the current funnel. Before investing more, you need to improve conversion.

# Decision 3: treat the website as infrastructure, not as a project

Treating the website as infrastructure means budgeting for it as an asset that is amortised and improved every year, not as a one-off project. The usual pattern is to rebuild it every three or four years with a spending peak and leave it unimproved in between, when it is the asset on which every other line depends.

The recommended approach has two components:

• Amortised base investment: if the website needs a redesign, budget it as an asset and amortise it over 3-4 years, not as a single-year expense.
• Continuous improvement line (CRO): between 10% and 20% of the website’s cost every year for A/B tests, speed, forms and new landing pages.

One point of improvement in conversion rate usually delivers more than 20% extra media spend, because it makes every channel cheaper at once. And a website built for users and for language models is now part of that asset, as we explain in our guide to building a website with AI.

# Decision 4: open a budget line for AI visibility (GEO)

GEO (Generative Engine Optimization) is the set of actions that make a brand appear and be cited in the answers of ChatGPT, Gemini, Perplexity and Google’s AI Overviews. In 2027 it deserves its own line within Grow.

The question the CEO should ask in the committee is simple: “What does ChatGPT answer when someone asks for a supplier like us?”. Almost no company knows, and almost none has it budgeted.

A GEO line usually includes:

• A visibility audit across the main generative engines against your competitors.
• Citable content: clear definitions, proprietary data, FAQs and comparisons.
• Structured data (schema) and consistent company profiles across all platforms.
• Third-party mentions: media, directories and reviews, which is where models draw much of their answers from.
• Monthly tracking of citation share.

GEO does not replace SEO: it extends it. Much of the work is shared, which is why it makes sense to budget them together. More context in our guide to optimising for generative engines and in our article on SEO for AI (in Spanish).

# Decision 5: budget AI by use case, not by licence

Budgeting AI by use case means assigning money to specific processes with a success metric, instead of buying licences for the whole workforce. The costliest mistake of 2026 has been the latter: scattered individual use, no redesigned process and an ROI impossible to prove to the board.

Step 1: prioritise use cases

Each candidate use case is scored on two axes:

• Impact: hours saved, additional revenue, errors avoided or response speed.
• Feasibility: data availability, technical complexity, risk and resistance to change.

Start with those that have high impact and high feasibility. Common examples in marketing and operations: automatic lead qualification, sales proposal generation, first-line customer support, content and creative production, automated reporting and data reconciliation. If you want to see how far automation goes, look at what AI agents for business cost and why they fail.

Step 2: budget the five cost lines of each use case

Training and change management is the line everyone cuts and the one that decides success. BCG’s 10-20-70 rule sums it up: 70% of the value is in people and processes. In addition, the European AI Act already requires companies that use AI to ensure a sufficient level of AI literacy among their staff, so training is no longer optional.

Step 3: measure with a business case

Every AI pilot in the Transform box must have, before it starts:

• A success metric and its current value (for example, 4 hours per sales proposal).
• A 90-day target (for example, 1.5 hours).
• A scale-or-close criterion: if it delivers, it moves to Grow next year; if not, it is closed and the budget is released.

The board does not approve “AI”. It approves a starting metric, a 90-day target and a criterion to close the pilot if it falls short.

Lola Rodríguez, Growth Manager at CRONUTS.DIGITAL

# What each member of the budget committee asks

A good digital marketing budget answers four different perspectives at once: CEO, CMO, COO and CFO. Preparing them in advance shortens approval.

# The metrics that make a digital marketing budget defensible

Metrics are what turn a digital marketing budget into a management system: without them it is a forecast. Every line must have three things before 1 January: an owner, a metric and a threshold that decides whether it receives more money or less.

The usual mistake is to take a single report with 40 indicators to the committee. A three-level dashboard works better, one level for each question leadership asks. If you need a wider catalogue, we have a guide to B2B marketing KPIs (in Spanish).

Level 1: business metrics (committee, CEO and CFO)

They answer the question “does this money make us grow profitably?”.

Level 2: funnel and channel metrics (CMO)

They answer “which channels work and where is money being lost?”.

• Cost per opportunity (not just cost per lead). A channel with the lowest CPL can be the most expensive if its leads never reach sales. It is the metric that should replace CPL in the conversation between marketing and sales.
• Lead-to-opportunity conversion rate by channel: measures lead quality.
• Website conversion rate: the multiplier of every channel.
• Paid media incrementality: sales that would not have happened without the campaign, measured with geo or audience holdout tests.
• AI citation share: in how many ChatGPT, Gemini or Perplexity answers your brand appears versus competitors.
• Weight of the main channel in leads. If a single channel exceeds 50%, there is a dependency risk.

Level 3: AI and efficiency metrics (COO)

They answer “is AI changing how we work or only how much we pay in licences?”.

• Adoption rate: % of the team that uses the redesigned process every week. It comes before savings: a use case with 20% adoption saves nothing, however well it works in the demo.
• Hours saved per process: (hours before − hours after) × task volume.
• Cost per task, before and after, including licences, consumption and integration.
• Quality: error rate or rework rate. Saving time while producing more errors is not saving.

Metrics that should not reach the committee

Impressions, reach, followers, unsegmented total traffic or the number of AI licences bought. They are useful for the operating team, but they are not useful for deciding budget: they can rise while the business does not move.

How each box connects to its metric

The reallocation rule

• Monthly review of the metrics by the CMO and quarterly review in the leadership committee.
• A line that beats its threshold two quarters in a row receives money from the reallocation fund.
• A line that fails to move its metric in two quarters is cut or closed. That way the budget rewards what works and stops funding what is only renewed out of habit.

# 6 mistakes we see every October when building the digital marketing budget

Almost all budget mistakes come from the same place: deciding by inertia instead of by results. These are the six we repeat most often in October committees:

1. Budgeting by tools instead of by results. The question is not “what do we renew?”, but “what has to happen in the business?”.
2. Buying AI licences without redesigning processes. It means investing in the 10% and forgetting the 70%.
3. Deciding with broken measurement. If GA4, the CRM and the platforms do not match, any allocation is a hunch with decimals.
4. Investing in paid media without measuring incrementality. Especially in brand and remarketing campaigns.
5. Having zero euros in GEO. It is the line with the lowest competition in the whole budget and the one that will grow most.
6. Allocating 100% of the budget in January. Without a reallocation fund there is no way to reward what works.

# Your 2027 digital marketing budget starts with a diagnostic, not a figure

A good digital marketing budget is not the biggest one, but the one you can defend in committee and correct during the year. The five decisions in this guide (know where you start, calculate the figure bottom-up, treat the website as infrastructure, open the GEO line and budget AI by use case) turn a negotiation over figures into a conversation about results.

Companies that build this method now will accumulate a compounding advantage: every quarter they will know better what works and where to put the next euro. Those that repeat last year’s budget plus an increase will pay the cost of catching up.

The first step takes five minutes: measure your company’s digital maturity with the digital maturity scorecard (in Spanish) and walk into the committee knowing where the biggest return is. Shall we apply this to your case? Book 30 minutes or request the digital and AI audit (in Spanish) and we will prepare it together. If there is no real growth lever, we will tell you first.