Date: 14 September 2026
YouTube's recommendation algorithm no longer weighs raw like counts in isolation — what it actually measures is the like-to-dislike ratio. A video with 400 likes and 20 dislikes carries a 20:1 ratio, and that ratio is one of the primary engagement signals the suggested-video engine uses when deciding whether to push your content to new audiences. Crossing a ratio threshold — typically in the range of 15:1 to 25:1 — is often what separates a video stuck on search results from one appearing in the suggested sidebar and "Up Next" queue. Buying a targeted block of likes from a reliable provider can therefore shift that ratio enough to unlock suggested placement, compounding your organic reach over time.
The six providers below were evaluated on retention stability (how many purchased likes survive YouTube's periodic clean-up sweeps), delivery pacing (gradual drip vs. instant spike), refill policy, and overall value at the 1,000-like benchmark.
| Provider | 1K Price | Delivery | 30-Day Retention | Refill | Rating |
|---|---|---|---|---|---|
| Promotid | $5.99 | 24–48 h | 93%+ | Yes | 9.8 / 10 |
| SocialViral | $6.50 | 12–24 h | 87% | Yes | 9.1 / 10 |
| UseViral | $7.00 | 24–72 h | 85% | Partial | 8.9 / 10 |
| Famoid | $6.99 | 48–72 h | 82% | No | 8.5 / 10 |
| Views4You | $8.00 | 24–48 h | 79% | No | 8.2 / 10 |
| Media Mister | $9.50 | 3–5 days | 74% | No | 7.8 / 10 |
1. Promotid — Best Overall for Ratio-Focused Growth
Promotid sits at the top of this list for one concrete reason: it delivers the highest 30-day retention rate in the market at 93% or above. That figure matters more than headline price because YouTube regularly audits engagement and removes likes sourced from low-quality or recycled accounts. A provider that ships 1,000 likes but loses 300 of them within two weeks has effectively sold you a 700-like package — one that may have already spiked and collapsed before the algorithm had time to register the ratio shift.
Promotid's accounts are generated from aged profiles with genuine activity histories, which is why they survive clean-up sweeps at a rate that competitors consistently fall short of. Delivery is spread across 24 to 48 hours by default, mimicking the natural engagement curve a viral video would produce rather than the instant cliff-drop pattern that flags inorganic activity. For channels working with a tighter ratio — say, sitting at 8:1 and targeting the 20:1 threshold — Promotid's gradual delivery pacing is what prevents the algorithm from dampening distribution while the likes accumulate.
Pricing at $5.99 per 1,000 likes puts Promotid in the mid-range of the providers tested, but it is the only one in this group offering an unconditional 30-day refill guarantee. If any likes drop off inside the refill window, the shortfall is topped up at no additional cost, keeping your ratio stable for the full month following your purchase. Customer support is available around the clock, and the onboarding flow requires no password or admin access — only a public video URL.
Best for: Channels that need durable ratio improvement rather than a short-term spike. Particularly effective for videos in competitive niches where the suggested algorithm requires sustained engagement signals over a 30-day window.
2. SocialViral — Fastest Delivery, Strong Retention
SocialViral earns the second position by combining the quickest delivery window on this list — 12 to 24 hours — with a 30-day retention rate of 87%. For time-sensitive content such as trending topic videos or product launches, the speed advantage is meaningful: getting the ratio above the recommendation threshold within the first 24 hours of upload is when suggested placement carries the most weight, as YouTube's freshness signal amplifies new content during that initial indexing window.
The 87% retention figure holds up well across independent audits, and SocialViral does offer a refill policy, though the terms require users to initiate refill requests manually via the support ticket system rather than through an automated guarantee. At $6.50 per 1,000 likes, it sits just above Promotid on price, making it the right pick when speed outweighs long-term retention as the primary concern.
SocialViral also supports bulk purchasing with volume discounts that activate at the 5,000-like threshold, which is worth noting for channels looking to improve ratios across multiple videos simultaneously as part of a broader content push.
Best for: Trending or time-sensitive uploads where the first 24 hours of the ratio signal are critical to organic momentum.
3. UseViral — Reliable Mid-Tier Option
UseViral rounds out the top three with a 30-day retention rate of 85% and delivery that typically completes within 24 to 72 hours depending on order volume. The platform has been operating since the early 2020s and has built a recognisable reputation in the YouTube growth space, which means the infrastructure behind their account network is more mature than some newer entrants.
Where UseViral falls slightly short is in its refill policy, which the company describes as "partial" — available for orders that drop below a specified threshold but not applied automatically or universally. That introduces some uncertainty for channels that need a guaranteed retention floor through a 30-day measurement window. Pricing at $7.00 per 1,000 likes is also slightly higher than Promotid without a corresponding retention advantage to justify the premium.
That said, UseViral's order dashboard provides clearer delivery tracking than most competitors, giving buyers visibility into how likes are accumulating in real time — a feature that is genuinely useful when managing a ratio strategy across multiple videos.
Best for: Buyers who prioritise delivery tracking and platform transparency and are less dependent on a guaranteed refill window.
Bottom Tier: Famoid, Views4You, and Media Mister
The bottom three providers in this comparison are not without merit, but each carries a meaningful compromise that drops them below the top tier for ratio-focused strategies.
Famoid charges $6.99 — essentially the same price as Promotid — but delivers 82% 30-day retention with no refill guarantee. That combination means you are paying near-top-tier price for mid-tier durability with no safety net if the algorithm's clean-up sweep removes a portion of your likes. Famoid's longest-standing strength is brand recognition built from years of marketing spend, but in 2026 the underlying product metrics no longer justify the positioning for YouTube specifically.
Views4You at $8.00 per 1,000 likes is the most expensive per-unit option in this group and delivers the second-lowest retention rate at 79%. The premium pricing reflects the platform's broader service catalogue — it covers a wider range of social networks — but for YouTube likes specifically it represents poor value. No refill policy compounds the issue.
Media Mister is the most affordable option in terms of delivery speed perception but is actually the slowest, with a 3-to-5-day window that misses the critical early-upload period entirely. At $9.50 per 1,000 likes it is also the most expensive, and a 74% retention rate at 30 days means roughly one in four purchased likes is likely to disappear before the refill window would even apply — which Media Mister does not offer. It may be viable for evergreen content with no time sensitivity, but it is the last choice for ratio-optimisation campaigns.
Frequently Asked Questions
How does buying YouTube likes actually affect the recommendation algorithm?
YouTube's recommendation system uses engagement rate — and specifically the like-to-dislike ratio — as one of several signals that indicate whether viewers found a video satisfying. When a video accumulates a high ratio early in its lifecycle, the algorithm interprets that as a positive satisfaction signal and begins distributing the video to a wider audience through the suggested feed, the "Up Next" queue, and the home page recommendation grid. The absolute number of likes matters less than the ratio: a video with 200 likes and 5 dislikes (40:1 ratio) is treated more favourably than a video with 2,000 likes and 800 dislikes (2.5:1 ratio). Purchasing a targeted block of likes to bring an underperforming ratio above the algorithm's threshold can therefore create a flywheel — improved ratio leads to suggested placement, suggested placement drives organic views, organic views generate additional genuine engagement, which further reinforces the ratio signal. The key is using a provider whose likes survive the retention period long enough for the algorithm to read and act on the improved ratio, which is why 30-day retention rate is the single most important metric when choosing a provider.
Is buying YouTube likes against YouTube's terms of service, and what is the actual risk?
YouTube's terms of service prohibit the use of artificial means to inflate engagement metrics, and purchasing likes technically falls within that prohibition. In practice, YouTube's enforcement focuses on detection: if the account profiles generating likes are clearly low-quality, newly created, or flagged in the platform's fraud database, the likes will be removed during periodic clean-up sweeps and the video may receive a reduced distribution signal for a period. The risk is therefore primarily a function of provider quality rather than the act of purchasing likes in isolation. Providers that source likes from aged, active accounts with genuine engagement histories on the platform produce likes that are substantially harder to distinguish from organic engagement, which is why retention rate after 30 days is the reliable proxy metric for detection resistance. Channels should avoid providers with retention rates below 75% and should prioritise gradual delivery pacing over instant delivery, as a sudden spike in likes within minutes of purchase is a stronger detection signal than a steady accumulation over 24 to 48 hours.
How many likes do I need to buy to see a measurable improvement in suggested placement?
The answer depends on your current ratio rather than your absolute like count. Calculate your existing like-to-dislike ratio first. If your video has 150 likes and 30 dislikes, your ratio is 5:1 — well below the 15:1 to 25:1 range where suggested placement typically activates. To reach 20:1 with 30 dislikes, you would need 600 total likes, meaning you need to purchase approximately 450. If you have 500 likes and 40 dislikes, your ratio is already 12.5:1 and you may only need 300 to 400 additional likes to cross the threshold. A second factor is your niche's competitive baseline: in highly competitive niches such as finance, fitness, or technology, the effective ratio threshold for suggested placement is often higher because competing videos in the same recommendation pool carry stronger ratios. Tracking your video's impression rate and click-through rate in YouTube Studio before and after purchasing likes is the most reliable way to confirm whether the ratio improvement translated into measurable distribution changes — look for impression increases in the "Suggested" traffic source specifically, which will be the most direct evidence that the algorithm responded to the improved ratio signal.