Most B2B teams plan next year's paid budget by arguing over percentages. The teams that get it right decide funding order instead, and they only ever run one real experiment at a time.
Annual paid media budget planning should start with a ceiling, not a split. Fund your proven demand-capture channel until it stops absorbing money profitably, hold your cheap secondary channels at a maintenance level, and put whatever is left into exactly one experiment that is big enough to produce an answer. Everything else is theater for the planning deck.
This is written for the person who has to walk into a planning meeting with a number for next year, defend it to a CFO who wants it smaller and a CEO who wants it in more places, and then live with the result for twelve months.
Why the percentage split is the wrong instrument
The classic planning move is to divide the budget by channel. Sixty percent to search, twenty to paid social, ten to retargeting, ten to whatever is new this year. It feels responsible and balanced.
It is neither. A percentage split assumes every channel can absorb its slice productively, and that is almost never true in B2B. Search has a hard ceiling set by how many people actually search for what you sell. Paid social has no ceiling at all, which is a different problem. Treating them as interchangeable buckets guarantees you overfund the one with no floor and underfund the one that was already working.
The planning question is not how to divide the money. It is which dollar you would spend next if someone handed you one more, and which dollar you would give back first if someone took one away. Answer those two and the split falls out on its own.
Ready for paid ads that pay off?
Book your free auditFund your search ceiling before you diversify anything
The cheapest pipeline available to you is the demand you are already losing. Before a single new channel gets funded, find out how much of your existing high-intent search demand you are not buying.
Google reports this directly. Impression share is the percentage of impressions your ads received out of the total they were eligible to receive, and Google breaks out how much you lost specifically to budget versus to rank (Google Ads Help, About impression share). The budget-lost number is the one that matters in planning season, because it is the only line in your entire account that tells you exactly what you are leaving unbought.
Run the arithmetic on your own account before you write any plan:
→ Pull search impression share and search lost impression share (budget) for your non-branded campaigns, over a full quarter, not a month.
→ If you are at 45% impression share with 30% lost to budget, you are buying a little under two thirds of what you could. Closing that gap costs roughly 65% more spend on those campaigns.
→ Multiply that additional spend by your current cost per qualified lead. If the number still clears your target, that is the highest-confidence dollar in your entire plan.
→ Only when the incremental cost per qualified lead starts climbing have you actually found the ceiling.
If impression share is unfamiliar territory, we went deeper on reading it correctly in diagnosing B2B lead drops with impression share.
That last step is where teams cheat. They see lost impression share of 30% and conclude they should raise the budget 30%, which is not what the metric means, and they never check whether lead quality held at the higher volume. It usually degrades a bit, because the queries you were not buying are the ones you were outbid on or deprioritized. Fine. Measure it, then decide.
The reason to do this first is political as much as financial. A budget increase you can defend with lost impression share on converting keywords is a very different conversation than a budget increase justified by wanting to try a new channel. One has evidence attached. Our B2B Google Ads work almost always starts here, because the ceiling is usually higher than the client assumed and nobody had checked.
The maintenance tier nobody plans for
There is a category of channel that does not deserve growth budget but should not be cut either. The secondary search engine is the standard example. Volume is a fraction of the primary engine, so it will never move your number, but cost per lead is often meaningfully lower and the campaigns are already built.
Plan these as a fixed monthly line that you do not touch and do not optimize aggressively. The correct posture is to keep the lights on, check it quarterly, and spend your attention elsewhere. The mistake is treating a low-volume, low-cost channel as either a growth opportunity worth a big push or dead weight worth cutting. It is neither. It is a small, cheap, steady contribution, and the planning decision is simply to keep it.
Retargeting belongs in this tier too, with one condition. It only works if your site traffic is large enough to build a usable audience, and plenty of mid-market B2B sites are not. Check the audience size before you give it a line item, because a retargeting budget with no audience to spend against quietly rolls into whatever the platform decides to do with it.
Fund one experiment properly, not four badly
This is the part of the plan I would fight about. The standard approach is an innovation allocation, maybe 10% of the budget, spread across a few new channels so the team is learning in several directions at once.
That allocation teaches you nothing. Work out what it actually takes to get an answer from a new channel. If your target cost per qualified lead is $600, you need somewhere around fifteen to twenty qualified leads before you can say anything honest about whether a channel works, and you need a learning period before that where the platform is calibrating and the numbers are bad by definition. Call it $15,000 to $20,000 as the minimum cost of a real answer, spent inside a window short enough that conditions do not change underneath you.
Now split a $120,000 annual experiment budget across four channels. Each gets $30,000 for the year, which is $2,500 a month, which produces four channels that all look mediocre and none that produced a verdict. You spent the entire allocation and enter next planning season with the same four open questions.
→ Pick the single channel with the strongest prior, based on where your buyers already are and what your sales team hears.
→ Fund it at full weight for one concentrated window, not thinly across twelve months.
→ Write the kill criteria and the stopping date into the plan document before launch, while nobody is emotionally invested.
→ Run the next experiment after that one resolves. Sequential, not parallel.
The objection is always that sequential testing is slower. It is not, because parallel testing at insufficient weight does not finish at all. Four inconclusive tests take a year and resolve nothing. Two properly funded tests take the same year and resolve two questions.
One mechanical detail worth getting right when you translate an annual figure into campaign settings. Google Ads budgets are set as an average daily amount, and a campaign can spend up to twice that on a given day, with a monthly ceiling of 30.4 times the daily budget (Google Ads Help, About average daily budgets). So a $20,000 test window is a daily budget of roughly $658 over a month, not $20,000 divided by 30. Teams routinely underfund a test by setting the daily number from a rough mental divide and then wonder why it never gathered enough data.
There is a version of this that shows up when a board pressures an organic-led company into trying paid. The budget arrives small and attached to no particular question, and it gets sprinkled across platforms to look like diligence. Point that same small budget at one narrow question with a defined end date and it becomes genuinely useful. The size of a test budget matters less than whether it is aimed at anything.
Bring three scenarios, not one number
The approval meeting goes better when the executive team gets to choose rather than approve. Instead of one recommended figure, bring three versions of next year:
Conservative. Fund the search ceiling and the maintenance tier only. No experiments. This is the lowest-variance version and the one that produces the most predictable cost per qualified lead.
Balanced. The search ceiling, the maintenance tier, and one funded experiment with stated kill criteria. This is the version you recommend.
Aggressive. All of the above plus a brand or upper-funnel component, with the honest caveat that its contribution will be hard to attribute and will need an incrementality test rather than a platform-reported number to evaluate.
Show what each buys in pipeline terms, and be specific about what the aggressive version cannot promise. Executives approve faster when they can see the tradeoff, and you stop being the person defending a single number against a room. You also protect yourself: when the conservative version gets picked, nobody is surprised in June that there were no new channels.
The reporting that makes next year's plan possible
Every planning cycle I have sat in where the team could not cut anything had the same root cause. Nobody could prove a program was not contributing, so every line item renewed by default and the total crept up.
Pipeline contribution by channel, reported on a regular cadence rather than assembled in a panic each November, is what makes cutting politically possible. It does not need to be a perfect attribution model. It needs to be consistent enough that a low performer is visibly low for three quarters running, at which point cutting it is obvious rather than controversial.
That same reporting is what lets you move money during the year rather than waiting for the next plan, which is a separate discipline we covered in reallocating paid media budget as results come in. Annual planning sets the starting positions. It does not lock them.
Start that reporting in January if you want a defensible plan the following year. Building it in the same meeting where you are trying to use it never works, because everyone argues about the methodology instead of the decision.
What to do with this before your planning meeting
Pull search lost impression share (budget) on your non-branded campaigns for the last full quarter and calculate what closing that gap costs at your current cost per qualified lead. That number is the first line of your plan, and it is usually bigger than expected.
Then list every channel you were planning to test next year, and cross off all but one. Fund that one at a weight that can actually produce a verdict, with a date on it.
If you want a second opinion on where your ceiling actually sits before you commit a number for the year, that is most of what a paid ads audit is for, and it is a cheaper conversation than finding out in Q3.
