What Roblox ads actually cost in 2026: CPP ranges from campaign exports, cost drivers by genre and targeting, and budget plans from 1K to 50K Robux.
Every thread asking 'how much do Roblox ads cost?' gets the same useless answer: 'it depends.' That is technically correct and practically worthless. Aggregated campaign exports from real Ads Manager accounts paint a much sharper picture -- and the spread is wider than most people expect. The cheapest campaigns pay a fraction of what the most expensive ones do, and the gap has almost nothing to do with total budget.
The Actual Price Range in 2026
Anonymized real-ad benchmark ranges from aggregated Roblox Ads exports| Metric | Min | Median | P75 | Max |
|---|
| CTR (%) | 0.65 | 3.60 | 4.52 | 6.03 |
| Play Rate (%) | 0.49 | 2.02 | 2.82 | 3.87 |
| CPP ($) | 0.001 | 0.004 | 0.005 | 0.017 |
Stare at the CPP column. The gap between the floor and ceiling is not 2x -- it is routinely 10x or more across campaigns running in the same week. Cheap Roblox ads are not a secret setting or a hidden discount. They are the result of a high-converting thumbnail, a well-matched audience, and a launch window with thin competition. Expensive ads come from the opposite: generic creative, broad untested targeting, and launching at peak hours because that happened to be when the developer was at their desk.
This is where it gets frustrating: Roblox never shows you what other advertisers are paying. Your Ads Manager dashboard only shows your own numbers. A simulator ad running during Saturday afternoon peak might have a CPP that is four times what the same ad would cost at 3 AM UTC on a Tuesday, and you would have no way to know that spread existed unless you ran both tests or checked external benchmark data. The auction is opaque on purpose, which is exactly why external cost benchmarks are worth paying attention to.
Developers frequently report paying double what they expected for the same traffic volume, reinforcing that the opaque auction can produce wildly different price points even across consecutive campaigns.
I am literally paying more than double for the same traffic I used to get from the old system.
The New Ad Manager Is Underperforming
The Three Things That Move Your Price
Targeting cohort comparison (anonymized)| Targeting Cohort | Spent | Plays | Median CTR | Median Play Rate | Median CPP |
|---|
| mobile-tablet | $755.70 | 268,979 | 3.32% | 2.03% | $0.003 |
| all-devices | $4,971.76 | 1,196,761 | 3.85% | 2.06% | $0.004 |
| pc | $27.34 | 3,406 | 0.65% | 0.49% | $0.008 |
Broad targeting gives you cheaper impressions but often worse conversions. Showing your horror game to every 13-year-old on mobile gets a low cost per thousand views, but if 90% of them bounce in under ten seconds, your real cost per player who actually sticks around is higher than a tighter campaign that only reached horror fans on desktop. The targeting table above shows how much play rates vary across cohorts -- some audience segments convert at three times the rate of others. The cheapest impressions and the cheapest players are rarely the same thing, and confusing the two is one of the most common budgeting mistakes.
Performance by objective group (anonymized)| Objective Group | Spent | Plays | Median CTR | Median Play Rate | Median CPP |
|---|
| maximize-plays | $5,401.68 | 1,390,492 | 3.40% | 1.98% | $0.004 |
| new-user-acquisition | $115.09 | 32,671 | 3.07% | 1.76% | $0.006 |
| retention-reactivation | $238.03 | 45,983 | 4.56% | 3.02% | $0.007 |
What Different Budgets Actually Buy You
At 1,000 Robux, you are buying data, not players. Run one 24-hour campaign with broad targeting and your best thumbnail. You will learn your baseline CTR, your approximate CPP, and whether the auction can even find your audience at that bid level. Every number you get back is a hypothesis, not a conclusion. Developers who skip this step and open with 10,000 Robux are spending 10x to learn the same lesson -- except now they are emotionally invested in making a bad campaign work instead of killing it and trying a new approach.
At 10,000 Robux, you should be running structured tests. Split the budget across three campaigns over a week: one broad baseline, one with the targeting hypothesis your 1K test suggested, and one during an off-peak window. Compare CPP across all three. If your best campaign beats the P75 benchmark, you have found something worth scaling. If none of them do, the bottleneck is almost certainly your game page or your first-session experience, not your ad spend. Throwing more Robux at it will not fix a conversion problem. At 50,000 Robux and above, you should already know your winning cohort, your best time window, and your strongest creative. Scaling at this level means incrementally expanding budget on proven configurations, not running discovery tests at scale.
Best and worst anonymized campaign cohorts by cost per play (CPP)| Cohort | Type | Targeting | CPP | CTR | Play Rate |
|---|
| Best | trend-social | mobile-tablet | $0.001 | 6.03% | 3.87% |
| Best | obby-platformer | all-devices | $0.001 | 4.52% | 2.93% |
| Best | obby-platformer | all-devices | $0.001 | 4.99% | 3.35% |
| Weak | trend-social | all-devices | $0.017 | 3.80% | 2.27% |
| Weak | casual-arcade | all-devices | $0.010 | 2.96% | 1.62% |
| Weak | trend-social | all-devices | $0.010 | 2.80% | 1.49% |
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Roblox reported a 40% reduction in cost per play and 75% year-over-year ad revenue growth in Q4 2025, suggesting that platform-wide pricing efficiency improved even as total ad spend climbed -- though individual campaign costs still vary enormously.
Roblox documentation reference: Roblox Q4 2025 Shareholder Letter.
Official benchmark data from Roblox puts Maximize Plays CPP at 0.0073 Robux and Acquire New Users at 0.0187 Robux -- numbers that give concrete anchors for what different campaign objectives actually cost at scale.
CPP benchmarks: Maximize Plays at $0.0073 and Acquire New Users at $0.0187. Search ads showed 271% improvement in qualified play-through rate.
Ads Manager Updates - November 2025
How Competition Inflates Your Bill
Highest observed hourly competition window: 19:00 UTC (85.85 avg sponsors).
Strong weekday-hour hotspot: Mon 20:00 UTC.
Hourly Sponsor Competition (7d)
Daily Sponsor Volume (30d)
In a second-price auction, more bidders means a higher clearing price. When 30 sponsors are fighting for the same slots during peak hours, the second-highest bid that sets your cost is naturally steeper than when only 10 are active. The hourly chart above shows where those peaks and valleys land. Shifting your campaign start by four to six hours can drop your effective CPP by 25-40%. That is the single easiest cost reduction available to any advertiser on the platform, and most developers never try it because they launch campaigns whenever they happen to be sitting at their computer. The competition clock is predictable and cyclical -- use it.
Cutting Costs Without Shrinking Your Reach
- Start every untested campaign at 1,000 Robux for 24 hours. If a campaign cannot produce meaningful data at this level, adding budget will not fix the creative or targeting problem underneath.
- Benchmark against the P75, not the median. Median CPP is roughly break-even for most games. You need top-quartile performance for ads to generate net-positive growth, and knowing that threshold upfront keeps you from celebrating mediocre results.
- Launch during the lowest-competition six-hour window visible in the hourly chart. This single scheduling change consistently saves 25-40% on CPP across every genre tracked -- it is free money you are leaving on the table by launching at peak hours.
- Measure cost per retained player, not just cost per play. A play that lasts twelve seconds and a play that lasts thirty minutes cost the same Robux in the auction, but only one of them produces a returning player. If you are only watching CPP, you are optimizing for the wrong number.
References