Most accounts spend an even daily budget across the month and call it "consistent." Consistent spend is not the same as efficient spend. If demand for your product is not flat across the week, the month, or the year, and it almost never is, an even budget is quietly underspending on your best days and overspending on your worst ones.
Before touching budgets, pull conversion rate and cost-per-conversion by day of week and by hour, over as long a window as you have. Most accounts show real patterns: B2B accounts often convert better Tuesday to Thursday and worse on Mondays and Fridays. Consumer categories often show weekend spikes or weekday troughs depending on the product. If you have not looked at this split before, it is usually the fastest efficiency win available in a mature account, faster than any bid strategy change.
Shared budgets across campaigns are often pitched as a way to let the algorithm move money to whichever campaign is performing best on a given day. In practice they tend to starve smaller or newer campaigns in favour of established ones with more conversion history, which is not the same as genuinely better performance, it is just more data to be confident about. If you use shared budgets, monitor spend distribution regularly rather than assuming the allocation is correct because it is automated.
If a campaign regularly exhausts its daily budget by mid-morning, you are not just missing afternoon and evening conversions, you may be training the bidding algorithm on a skewed sample of the day's traffic. Auction dynamics, competitor activity, and user intent are not constant throughout the day. A campaign that only ever spends in the first six hours is optimising against a partial picture of its actual audience.
Ad scheduling combined with a realistic daily budget, rather than an aggressive budget that caps out early, usually produces steadier and more representative performance data.
Black Friday, back-to-school, January for fitness and finance categories, fiscal year end for B2B software, these are predictable. The mistake is treating them as a scaling event you react to in the moment rather than a period you prepare for weeks in advance: creative refreshed ahead of time, landing pages stress-tested, budget increases staged rather than applied all at once (which can reset Smart Bidding's calibration at the exact moment you need it working well), and a clear view of what "normal" looks like on the other side so you know when to pull back.
When you see performance vary significantly by time period, that variation is information about your buyers, not just a budgeting inconvenience. It often points to something upstream: a B2B product with a buying process anchored to the working week, a consumer product with impulse-driven weekend behaviour, a category with genuine seasonal demand. Understanding why the pattern exists usually improves more than just your paid media, it tends to inform messaging and timing across marketing more broadly.
If your account has never had a proper pacing and seasonality review, that is a quick, high-leverage piece of work to get done.