Buying well
How SMM panel prices are actually set
Last updated by The PanelCompare editorial team, 6 min read
How does a panel decide what to charge?
A reseller panel starts from its provider’s wholesale rate and applies a markup, set per service or per category in the panel admin. On top of that sit the panel’s real costs: panel software or hosting, payment gateway fees of roughly 3–8% and higher on high-risk processors, chargeback losses, refill liability and support labour.
Typical retail markup runs 1.8×–3×, with the low end on commodity services where price transparency is total and the high end where buyers cannot easily comparison-shop (PanelCompare domain research, 2026-09-06). That band describes ordinary rows. On services with no reference price, the observed spreads are far wider.
What does the wholesale-to-retail ladder look like?
| Service | Wholesale | Retail | Implied multiple |
|---|---|---|---|
| TikTok views | ~$0.06 / 1k | ~$0.70 / 1k | ~12× |
| YouTube views | ~$0.90 / 1k | ~$40 / 1k | ~44× |
| YouTube dislikes | $0.13 / 1k | $50 / 1k | ~380× |
| YouTube watch hours (full 4,000 hr) | $33–$94 | $240–$1,240 | ~7–13× |
Source: PanelCompare domain research §2.4–2.5, 2026-09-06. Ranges observed across panels at a point in time.
There is a structural pattern underneath the numbers: the cost of a unit tracks how hard it is to fake persistently. A view is a single logged event, so views are near-free. A follower is a persistent relationship on a persistent account that platforms actively purge, so followers are expensive. A watch hour requires sustained playback from a plausible session, so watch time is very expensive.
Why is geo-targeting the biggest price driver?
Because it is the one filter providers can actually apply with confidence, and applying it shrinks the available inventory enormously. Country is a bigger price driver in the catalogue than any quality label — bigger than HQ, real, or non-drop wording.
| Service | Worldwide | Targeted | Multiple |
|---|---|---|---|
| Instagram story views | $0.08 / 1k | $24.50 / 1k (USA / EU) | ~300× |
| Facebook shares | $0.85 / 1k | $16.50 / 1k (USA) | ~19× |
| YouTube shares | $0.145 / 1k | $0.145 / 1k (Arab Gulf, US, UK) | 1× — no premium at all |
Source: PanelCompare domain research §2.4, 2026-09-06.
The YouTube shares row is the informative one. When a panel charges the same rate for worldwide, Arab Gulf, US and UK delivery, it is telling you the accounts behind a share barely matter for that metric — which is a useful reminder that a targeting premium is a claim about supply, and its absence is a claim too.
Why is the cheapest headline rate usually misleading?
Because it is bought, not earned. Panels advertise one or two rock-bottom services — typically Instagram likes or TikTok views — to win cheapest-panel searches, then price the rest of the catalogue at market. A panel can be genuinely cheapest on the row you saw and above median on everything you actually buy.
The honest alternative is a fixed basket: define the same set of services, price it across every panel, and compare the baskets. That is far harder to game, because winning requires being cheap across a catalogue rather than cheap in one cell. It is also the method PanelCompare uses — the price score is the median of a panel’s per-service ratios against the market median for each service, not a comparison of averages.
Why medians beat averages here
Several of these markets are bimodal, and averaging destroys the information. YouTube subscribers have a bot tier at $0.02–$0.72 that describes itself as high drop with no refill, and a real refill-guaranteed tier clearing near $14.40, with nothing meaningful in between. A mean across those two tiers describes nothing you can actually buy.
Which prices are not comparable at all?
Four categories break the per-1,000 unit outright. Any comparison that does not normalise for them is publishing numbers that are simply wrong — this is the single most consequential finding in the price data.
| Category | What the rate actually means | Effect on a naive comparison |
|---|---|---|
| YouTube watch hours | Priced per 1,000 quantity, not per 1,000 hours; 1,000 quantity is 250–8,000 real hours depending on required video length | Off by up to 8×, and in the wrong direction |
| Live / concurrent viewers | Priced per slot for a session length — TikTok live $0.80 for 15 min against $13–$18 for an hour | Meaningless without dividing by duration |
| Single-unit services | Rows with min = max = 1, where the “per 1000” figure is the whole order price — Discord boosts at $1.00–$25.42 | Looks 1,000× cheaper than it is |
| Reviews | Sold per review, listed per 1,000 — Trustpilot rows appear at $2,000–$10,000 | Looks absurd; is actually $2–$10 each |
Source: PanelCompare domain research §2.2, 2026-09-06, from roughly 47,600 service rows across ~25 panels.
Two smaller traps are worth knowing. Instagram story views are sometimes quoted per 100 rather than per 1,000, and Snapchat’s “100 views on all stories” is sold as a single unit at $3.30–$5.34 — which is $33–$53 per 1,000, not $3.
How fast do these prices move?
Weekly, and sometimes violently. Wholesale rates move as source accounts get purged, providers exit and platforms change detection. When a platform runs a large bot sweep, cheap-tier supply disappears, prices spike two to five times for weeks, and refill claims cluster at exactly the moment supply is most expensive.
There is also a long-run trend in both directions. Prices deflate on mature platforms — Instagram likes and TikTok views have been falling for years — and carry a novelty premium with thin, unreliable supply on new ones. Any published price that does not carry the timestamp it was captured at should be treated as decorative.
Quick answers
Why do prices for the same service vary 20× between panels?
Because the price is a markup on a markup — typically 1.8×–3× per hop — and because rows with the same nominal name are often different products. Country targeting alone can move a rate by 300×, and a refill guarantee can double it.
Why is the cheapest service usually the worst deal?
Rock-bottom rows are usually loss leaders bought to win cheapest-panel searches, and they are typically the lowest-quality inventory with the shortest or no refill window. Comparing a fixed basket of services is a far better guide than one headline rate.
How do panels set their prices?
From the upstream provider rate plus a markup configured per service or category, adjusted for payment fees of roughly 3–8%, chargebacks, refill liability and support cost. Targeting and refill windows are priced as separate premiums on top.
Why do SMM panel prices change so often?
Wholesale rates move weekly as source accounts are purged and providers exit. Platform bot sweeps can spike cheap-tier prices two to five times for weeks, which is why every published price needs a capture timestamp.
Every figure here is attributed and dated
Prices in this market move weekly, so a number without a capture date is decorative. Where this guide quotes a figure it names the source and when it was checked. If one of them is wrong, the correction process on the about page has a two-working-day reply target, and corrections are published with a dated note rather than quietly patched.