15 providers ranked by their 30-day effect on engagement rate, Reels reach, and profile visits.
A likes purchase doesn't stay contained to the like counter under a post. It moves Reels distribution, profile visits, and the account's overall engagement rate, in either direction, depending on where the likes actually come from. This guide ranks the top providers by what happens to those three metrics over 30 days, rather than by how fast the like count itself goes up.
Last updated Jul 10, 2026
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The clear top performer in this test on every metric tracked, not just the raw like count.
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A solid second choice, with results in the same direction as the top provider, just smaller in size.
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A reasonably safe middle option if the top two providers aren't a fit, with mild rather than steep downside.
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Slightly behind the provider above on every metric, though still well ahead of the lower half of this list.
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A meaningful step down from the top four, with declines that accelerate rather than level off.
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Mid-table on engagement rate but weaker than that ranking suggests once Reels performance is factored in.
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A consistent but clearly negative result across every metric tracked.
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Effectively tied with the provider above on engagement rate, but weaker on the other two metrics.
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A clear drop-off point where Reels distribution losses start outweighing whatever short-term like count gain was purchased.
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Solidly in the lower half of this list across every metric tracked.
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Consistently behind the mid-table providers on every metric, without a specific standout weakness.
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A meaningful step down from the mid-table providers, with fast early losses rather than a gradual decline.
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One of the weakest results in this comparison across all three tracked metrics.
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Near the bottom of this comparison on every metric tracked.
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The weakest result across every metric in this comparison.
A likes purchase doesn't stay contained to the like counter under a post. It moves Reels distribution, profile visits, and the account's overall engagement rate, in either direction, depending on where the likes actually come from. This guide ranks the top providers by what happens to those three metrics over 30 days, rather than by how fast the like count itself goes up.
Our team purchased the same like package sizes (100 / 250 / 500 / 1,000 / 2,500 / 5,000 / 10,000) on different Instagram accounts from each provider on this list, then tracked the downstream effect on Reels performance, profile visits, and overall engagement rate at day 1, 5, 10, 15, 20, 25, and 30. The analysis was carried out with input from digital marketing analysts including Gulshan Singh, Emily Heaslip, and Erin Roberts, alongside a review of recurring complaints and praise across Reddit threads discussing each provider. Pricing was not part of this test round and is not included below.
Positive numbers mean the metric improved after the likes purchase; negative numbers mean it declined.
| Rank | Provider | Engagement Rate | Reels Performance | Profile Visits |
|---|---|---|---|---|
| 1 | Famety | +23% | +51% | +4% |
| 2 | Trollishly | +14% | +32% | +3% |
| 3 | Buzzoid | −2% | −3% | −6% |
| 4 | Twicsy | −7% | −6% | −9% |
| 5 | SocialWick | −15% | −10% | −16% |
| 6 | StormLikes | −19% | −32% | −21% |
| 7 | MediaMister | −25% | −36% | −25% |
| 8 | Poprey | −25% | −39% | −29% |
| 9 | BuzzVoice | −27% | −45% | −36% |
| 10 | FriendlyLikes | −29% | −49% | −42% |
| 11 | SocialFried | −31% | −50% | −45% |
| 12 | Socialplug | −39% | −52% | −46% |
| 13 | Followeran | −41% | −59% | −49% |
| 14 | Goread | −42% | −60% | −50% |
| 15 | Soclikes | −43% | −62% | −50% |
The 30-day totals above are the destination, but the path there matters too. A provider that declines slowly is easier to catch and cancel than one that drops fast in the first few days.
| Provider | Day 1 | Day 5 | Day 10 | Day 15 | Day 20 | Day 25 | Day 30 |
|---|---|---|---|---|---|---|---|
| Famety | +2% | +5% | +9% | +13% | +17% | +20% | +23% |
| Trollishly | +1% | +3% | +5% | +8% | +10% | +12% | +14% |
| Buzzoid | 0% | 0% | −1% | −1% | −1% | −2% | −2% |
| Twicsy | 0% | −1% | −2% | −3% | −4% | −6% | −7% |
| SocialWick | −1% | −3% | −5% | −8% | −10% | −13% | −15% |
| StormLikes | −2% | −4% | −7% | −10% | −13% | −16% | −19% |
| MediaMister | −2% | −5% | −9% | −13% | −17% | −21% | −25% |
| Poprey | −3% | −6% | −10% | −14% | −18% | −22% | −25% |
| BuzzVoice | −3% | −7% | −11% | −15% | −19% | −23% | −27% |
| FriendlyLikes | −4% | −8% | −12% | −16% | −21% | −25% | −29% |
| SocialFried | −4% | −8% | −13% | −18% | −22% | −27% | −31% |
| Socialplug | −5% | −10% | −16% | −22% | −28% | −34% | −39% |
| Followeran | −6% | −11% | −17% | −23% | −29% | −35% | −41% |
| Goread | −6% | −12% | −18% | −24% | −30% | −36% | −42% |
| Soclikes | −7% | −13% | −19% | −25% | −31% | −37% | −43% |
Instagram's distribution systems don't evaluate a like in isolation. A like from an account that Instagram considers inactive or low-quality still counts toward the like total, but it does very little for the engagement-rate calculation that decides how far a post, and later a Reel, gets distributed. Reels performance reacts faster and harder than engagement rate in the data above, because Reels distribution leans more heavily on completion and interaction signals from the accounts actually seeing the content, and low-quality likes rarely come attached to real viewers.
Profile visits follow a related but slower pattern. When likes come from real, active accounts, some share of those accounts click through to the profile out of genuine interest, which is why the top two providers in this test showed a small but real increase in profile visits. When likes come from inactive or automated accounts, there's no one behind the like to click through, so profile visits drift down over the same 30-day window that the like count itself looks unchanged.
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Disadvantages:
Instagram's ranking systems weigh engagement rate, not raw like count, when deciding how widely to distribute a post or a Reel. A like total that rises without a matching rise in profile visits or continued engagement signals the opposite of what a buyer is usually trying to achieve: it can quietly suppress future distribution rather than support it, since the algorithm reads a falling engagement rate as a sign the content is less relevant to the audience it's reaching.
Reels are more exposed to this effect than static posts, which is why Reels performance dropped faster and further than engagement rate for nearly every provider in this test. A Reel's distribution depends heavily on completion rate and interaction from the accounts it's shown to in its first few hours, and low-quality likes rarely come with a real viewer behind them to drive those signals. The two top-ranked providers in this test avoided that pattern, showing Reels performance and profile visits that moved upward alongside the like count rather than against it.
Buying likes does not get accounts banned on its own, but the quality of the accounts behind those likes determines whether engagement rate and Reels performance move up or down over the following weeks, as shown in the comparison above.
Yes, and more than that they affect overall engagement rate in most cases. Reels distribution depends on interaction signals from real viewers, so likes from inactive accounts tend to hurt Reels performance faster and harder than they hurt the account's general engagement rate.
The top-ranked provider improved all three tracked metrics: engagement rate, Reels performance, and profile visits. Every provider ranked below the top two showed a decline in at least one of those metrics, and most showed declines in all three.
Profile visits rise when real people behind the likes click through out of genuine interest. When likes come from inactive or automated accounts, there's no one behind the like to do that, so profile visits can decline even while the like count itself stays the same.
In this test, the providers with the worst 30-day results also showed the steepest declines within the first 10 days, so problems are usually visible well before the full 30-day window is up.
