Pacing
Paid MediaAlso: Budget Pacing · Spend Pacing
Quick definition
Pacing is how evenly your ad spend is tracking against your budget and timeframe. If you've spent 80 percent of a monthly budget by day ten, you're overpacing. If you've spent 10 percent by day twenty, you're underpacing. Both mean the campaign won't spend as planned.
A positive number means you're overpacing and will exhaust budget early. A negative number means you're underpacing and will leave budget unspent. Aim to keep this close to zero.
How it varies across Australia
Pacing issues show up most in campaigns managed on tight internal teams without daily monitoring, and least in campaigns run through platforms with automated pacing controls. Australian small business accounts tend to underpace early in a campaign and overpace once someone notices and panics.
See acquisition performance benchmarks across Australian industries →What it actually means
Pacing is the difference between a budget that exists on paper and a budget that actually gets spent the way you intended. Set a monthly figure and walk away, and the platform's own algorithm decides how fast to burn through it. Sometimes that decision is smart. Often it isn't.
Overpacing happens when a campaign spends too fast, usually because the algorithm found an audience it likes and leaned into it, or because a budget change wasn't capped correctly. You end up with three empty weeks and no ad money left to fill them. Underpacing is the opposite. Weak bids, narrow targeting or low daily caps mean the platform can't find enough auctions to spend into, so the CPA looks fine but the reach never showed up.
Pacing sits close to the CPA and CTR data most teams check daily, but it rarely gets checked itself until the end of the month, when it's too late to fix. A campaign with a flawless CPA that spent 40 percent of its budget didn't have a flawless month. It had an unspent one.
Good pacing isn't about hitting exactly the daily average every day. It's about spend and delivery tracking the calendar closely enough that the campaign does the job it was funded to do.
Pacing problems are rarely a budget problem. They're a monitoring problem wearing a budget costume.
How to calculate it
Expected pacing % = (Days elapsed ÷ Total campaign days) x 100. Compare against Actual pacing % = (Spend so far ÷ Total budget) x 100
Worked example. A $9,000 monthly budget, 30 days total. By day 15, expected pacing is 50%. If actual spend is $7,200, actual pacing is 80%. The campaign is overpacing by 30 percentage points and will run out of budget with two weeks still left in the month.
The Australian context
Australian campaigns often see pacing swing hardest around EOFY (End of Financial Year) budget flushes in June, when unspent annual budgets get dumped into paid media at short notice. Platforms respond to sudden large daily caps by spending aggressively into whatever audience is cheapest, not necessarily the audience that converts. That's a pacing decision the algorithm makes for you unless someone caps it manually.
Where people get this wrong
Related terms
Common questions
What does it mean when a campaign is underpacing?
Underpacing means the campaign is spending slower than the budget and timeframe intended. By the end of the period, budget is left unspent and the reach or conversions you planned for won't materialise. It usually points to targeting that's too narrow or bids that aren't competitive enough.
Is overpacing always bad?
Not always. Some platforms intentionally overpace early to gather learning data quickly, then settle into a steadier rate. The problem is overpacing that runs unchecked and exhausts the whole budget before the campaign period ends, leaving no spend for the remaining days.
How often should I check pacing?
Weekly at minimum, more often during the first few days of a new campaign or after any budget change. Pacing problems compound the longer they run undetected, so early checks matter more than late ones.
Can pacing affect campaign performance beyond just spend?
Yes. Uneven pacing can distort the learning phase on platforms that use machine-learning delivery, since the algorithm optimises based on spend patterns. A campaign that overpaces early may lock in suboptimal targeting before it has enough data to know better.
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About New Rebellion
New Rebellion is a marketing intelligence consultancy. We build tools, score Australian businesses on how their marketing actually performs, and publish Debrief every day. This dictionary is part of how we work in the open.
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