Market Math calculates the budget you need for the results you want

The budget shows up before the goal does

The number usually arrives first. Finance takes last year's figure, moves it a few points up or down, and hands it to you. A few weeks later the revenue target lands, and now it's your job to make the two fit.

I know the seat you're sitting in, because I've been handed that number myself. For 15 years I've served on my town's selectboard in Vermont, where budgets get defended line by line in front of the neighbors who pay for them. From that side, "it's what we spent last year" never survives the first question, and it shouldn't survive in your budget meeting either.

Market Math skips the question of what you can do with the money you were given and asks what the business needs. You apply realistic conversion ratios to outcomes such as bookings and opportunities, then estimate spend, timing, and scenarios. You walk into the budget conversation with the math already done.

How the math works

Here's a simple version with round numbers, so you can follow the logic. Every ratio and cost below is illustrative, not a benchmark or client result. For this example, count one qualified buying account per lead and at most one opportunity per account. That keeps the arithmetic honest.

1. Start with the goal. Say sales needs $2 million in new bookings from this campaign.
2. Divide by average deal size. At $100,000 a deal, that's 20 closed deals.
3. Apply your win rate. If you close one in four opportunities, you need 80 opportunities.
4. Apply your lead-to-opportunity rate. If 10% of qualified buying accounts become opportunities, you need 800 qualified accounts.
5. Apply your hand-raiser-to-qualified-account rate. If half of the accounts expressing interest qualify for an active buying cycle, you need 1,600 interested accounts. Multiple contacts at one company still count as one account here.
6. Size the awareness. If 2% of reached target accounts express interest, 1,600 interested accounts require reaching 80,000 distinct target accounts. That 2% is illustrative. Check whether your market is large enough, then plan reach, frequency, and costs through programs across different channels. Count overlapping accounts once; impressions are not unique accounts.
7. Price it. At an illustrative blended $250 per qualified account, including the upstream program costs needed to produce it, that's $200,000 in program spend. Check separately for costs the model excludes, such as internal staff time.

Step 6 is the one I see people skip. Awareness takes work before an account enters your pipeline. Fund only the bottom of the math, and the whole chain starts short.

If the budget comes back at $120,000, the same math says 960 interested accounts, 480 qualified accounts, 48 opportunities, 12 deals, and $1.2 million in bookings. Those outputs assume the same conversion rates and cost per qualified account hold. Fixed costs and diminishing returns can change that relationship. The room can now see what the smaller budget assumes.

A real model separates segments, channel costs, and sales-cycle timing. Keep a row for each assumption, its source, a conservative/base/optimistic range, an owner, and the latest actual. If the illustrative win rate falls from 25% to 20%, the $200,000 plan produces 16 deals and $1.6 million, with everything else held constant. That's a useful budget conversation before the money leaves the room.

Consider a healthcare technology vendor selling to hospitals. A clinical champion, IT reviewer, and procurement lead may belong to the same buying group. Count their engagement separately, but count the account once. Build review time into the close date. The spreadsheet can multiply cells; your team has to agree on what belongs in them.

The inputs have moved

That logic is as old as the funnel. What's changed is what you feed it.

Many buyers now use AI during research and decision support, while continuing to use vendor content and experts. Recent 6sense research placed much of that use in the middle of the journey, not in one universal sequence before a website visit.¹ Some activity can still happen beyond your dashboard's boundaries. Pew Research Center found that users clicked traditional Google result links less often when an AI summary appeared.²

That is the question I keep bringing to our AI Executive Roundtables: how do you plan a budget when part of the journey happens inside a model? Start with honest inputs:

• Ratios from two or three years ago may not reflect your current buyer journey, so build from your last few quarters. Treat older benchmarks as a check, not an answer.
• Top-of-funnel volume can drop while the leads who do arrive are further along, which shifts your stage-by-stage numbers.
• If your brand is missing from an AI-assisted shortlist, that can constrain downstream opportunity, even when other channels can still introduce it.

That last point is why we look at visibility before we run the numbers. Google's current guidance recommends clear, accessible, well-supported content for traditional and AI search, without promising placement.³ Our TOM Index, short for Top of Mind, Top of Model, scores modeled audience perception and visibility inside AI models. It helps frame whether a budget needs to build demand, capture it, or both.

A visibility score cannot tell you how many accounts will buy. If it flags weak discovery, test whether you need broader reach or clearer content before assuming more downstream leads. Use observed account engagement and conversion to revise the budget, rather than turning the score itself into a sales forecast.

What if finance has already set the number?

Run the math in reverse. Estimate the pipeline and bookings the available budget could produce under the stated assumptions. If that falls short, you have a numbers-based case for more budget, a longer timeline, or a smaller target.