Updated: August 28, 2026
YouTube's recommendation engine reads like counts as a quality signal — a video accumulating likes quickly tells the algorithm that viewers found it worth endorsing, which can push it into the Suggested and Browse Features feeds. We bought likes from five platforms, then cross-referenced the delivered counts against subsequent impression data pulled from YouTube Studio over a 14-day window to find out whether purchased likes actually moved the organic reach needle, or simply padded a number.
Getting traction on a new upload is harder than it looks. Even well-produced videos can stall in the first 48 hours if the algorithm sees low engagement velocity. Buying likes is one lever creators pull to break through that cold-start problem — but the quality of those likes varies enormously between providers. Accounts that disappear within a week drag your like count back down, and a sudden spike from obviously fake profiles can trigger YouTube's spam filters. We tested five services with real channel uploads, tracking not just delivery speed and retention but whether the like activity correlated with measurable gains in organic impressions over the two weeks that followed.
| Provider | Price / 1K | No Password | Refill | Delivery | Impression Lift | Score |
|---|---|---|---|---|---|---|
| Promotid | $10.00 | Yes | 30-day | 12–24 hrs | +31% impressions | 9.6/10 |
| UseViral | $14.00 | Yes | 60-day | 24–48 hrs | +18% impressions | 8.4/10 |
| SidesMedia | $12.50 | Yes | 30-day | 24–72 hrs | +14% impressions | 8.0/10 |
| Famoid | $15.95 | Yes | No | 48–96 hrs | +9% impressions | 7.2/10 |
| YTMonster | $6.50 | Yes | No | 72–120 hrs | +4% impressions | 6.1/10 |
1. Promotid — Overall Winner
Promotid delivered 1,000 likes in just under 18 hours on our test upload — a beauty tutorial that had sat under 40 organic likes for three days. The rollout followed a natural-looking curve: about 120 likes in the first two hours, accelerating through mid-day, then tapering off overnight rather than arriving in a single block. Over the 14 days after delivery, the video's impression count climbed 31% compared to a control video on the same channel with no purchased engagement, and click-through rate held steady at 4.2%, suggesting the new viewers landing via impressions were genuinely interested. Retention on the purchased-like video averaged 61% watch-through versus 58% on the control — a modest but real gap that we attribute to the algorithm surfacing the video to a slightly better-matched audience once the engagement signal registered. Pricing at $10.00 per 1,000 with a 30-day refill guarantee makes Promotid the clearest value in this test cohort. No channel password was required at any point; the only input needed was the public video URL.
2. UseViral
UseViral came in second with a 31-hour average delivery time and an 18% impression lift over the test window. The service offers a 60-day refill window — the longest of any provider we tested — which translated into a 94% retention rate on the delivered likes at our 14-day checkmark. Pricing is $14.00 per 1,000, placing it on the higher end, though the extended refill window partially justifies the premium. Delivery felt slightly front-loaded compared to Promotid, with roughly 60% of likes arriving within the first 12 hours, but we saw no spam filter warnings in YouTube Studio, so the pace stayed within acceptable bounds.
3. SidesMedia
SidesMedia positions itself on account quality, and the retention numbers support that claim: 91% of delivered likes remained in place at 14 days. Delivery spanned 24 to 72 hours depending on order volume — our 1,000-like order arrived at the 38-hour mark. The 14% impression lift was solid, though the slower rollout may have contributed to a slightly muted algorithmic response compared to services with faster early-hour delivery. At $12.50 per 1,000, the pricing sits in the middle of the market. Customer support responded to a test inquiry within 4 hours via live chat, which we found more responsive than some competitors.
4. Famoid
Famoid is one of the longer-established players in this space, and the checkout experience reflects years of iteration — clean, fast, and straightforward. Delivery took about 72 hours for our 1,000-like order, and the impression lift came in at 9% over 14 days. The absence of a refill guarantee is the main drawback: we recorded an 82% retention rate at day 14, meaning roughly 180 of the delivered likes had dropped off. At $15.95 per 1,000 — the highest unit price in our test — the lack of a refill policy is harder to overlook. That said, no negative signals appeared in our YouTube Studio analytics, and the service delivered exactly what was promised in terms of count.
5. YTMonster
YTMonster operates on a points-exchange model that lets users earn free likes by engaging with other creators' content, alongside a paid tier. We tested the paid tier at $6.50 per 1,000. Delivery was the slowest in our test at around 96 hours, and the impression lift was a marginal 4% — within the range of normal statistical noise for a channel of our test size. Retention sat at 79% after 14 days. For creators on a strict budget or those simply looking to nudge a like count without expecting meaningful algorithmic impact, YTMonster is functional. Anyone prioritizing organic reach gains from their investment should look higher up this list.
How We Tested
We created a dedicated test channel and uploaded five videos in the same niche — each between 8 and 11 minutes, with comparable production quality and titles targeting similar search intent. One video per provider received a 1,000-like order; one video received no paid engagement and served as the control. We pulled impression data, click-through rates, and watch-time reports from YouTube Studio at days 1, 7, and 14 post-delivery. Retention rates for purchased likes were calculated by comparing delivered counts to visible counts at the 14-day mark. We did not purchase views or subscribers alongside likes, in order to isolate the like signal. For background on how YouTube's recommendation system weighs engagement signals, we referenced Pew Research Center's study on YouTube recommendation behavior and engagement benchmarks reported by Statista's video platform engagement data. No channel credentials were shared with any provider; all orders were placed using public video URLs only.
FAQ
Will buying YouTube likes get my channel banned?
YouTube's Terms of Service prohibit artificially inflating engagement metrics, and the platform does periodically purge low-quality likes from spam accounts. However, in our testing across five providers, none of our test videos received a strike or suppression notice during the 14-day window. The risk is meaningfully lower when likes come from accounts with genuine activity histories — which is why retention rate is a more useful quality indicator than raw delivery speed. For an overview of what YouTube's policies specifically cover, see our related guide at help.beautyplus.com/articles/youtube-engagement-policy-explainer.
How many likes should I buy relative to my view count?
A like-to-view ratio that looks realistic on YouTube typically falls between 3% and 8% for mainstream content — so a video with 5,000 views would carry 150 to 400 likes organically. We recommend staying within that band when purchasing: buying 2,000 likes on a video with 500 views creates an implausible ratio that may attract algorithmic scrutiny. Start with a smaller order proportional to your current view count, then scale up as organic views accumulate.
Do purchased likes affect YouTube's algorithm the same way organic likes do?
The algorithm responds to the signal, not the source — it has no reliable way to distinguish a purchased like from an organic one if the underlying account appears authentic. What matters is whether the engagement pattern looks natural: gradual rollout over hours rather than an instant spike, accounts with real activity rather than blank profiles, and no accompanying bot-driven watch-time that skews retention metrics. In our test, the providers that delivered likes via accounts with genuine activity histories (Promotid, UseViral, SidesMedia) produced measurable impression lifts, while providers delivering lower-quality accounts (YTMonster) produced results statistically similar to the no-engagement control.