Cheapest LinkedIn Comments
Live rates per 1,000 across reviewed SMM panels — pulled straight from each panel's API and refreshed every 24 hours. No submissions, no self-reported prices.
Lowest $8.95/1k vs $954.06 average across panels
DaoSMM is currently the cheapest source for LinkedIn comments on the index, at 99% below the average panel price. That also matches the cheapest this service has been in the past 30 days. Rates re-sync every 24 hours — the order below moves with the market, not with who paid.
01
DaoSMMLowest rate
5 live LinkedIn comments offers
from$8.95/1k
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02
ApiSeller
4 live LinkedIn comments offers
from$10.02/1k
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03
B
BulkFollows
3 live LinkedIn comments offers
from$11.83/1k
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04
NaturalSMM
11 live LinkedIn comments offers
from$20.00/1k
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05
MorethanPanel
6 live LinkedIn comments offers
from$24.00/1k
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06
SMM Cost
2 live LinkedIn comments offers
from$25.00/1k
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07
CasperSMM
4 live LinkedIn comments offers
from$26.46/1k
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08
Lion Follow
2 live LinkedIn comments offers
from$26.52/1k
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09
Bayievi
1 live LinkedIn comments offer
from$41.60/1k
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10
Smmgalaxy
1 live LinkedIn comments offer
from$9346.26/1k
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LinkedIn comments — questions buyers ask
What is the cheapest LinkedIn comments panel?+
As of the last sync, DaoSMM holds the lowest live rate at $8.9524 per 1,000, compared across 10 reviewed panels. Prices are read from each panel's API every 24 hours, so the leader changes as panels reprice — this page always shows the current one.
How much does LinkedIn comments cost per 1,000?+
From $8.9524 per 1,000 at the cheapest panel, against a $954.0646 average across every panel carrying it — a 99% gap between the cheapest source and the typical one. That gap is the entire reason to compare before buying.
How many offers are compared here?+
39 live LinkedIn comments offers from 10 panels that passed manual review. Nothing is self-reported — every price comes from the panel's own API.
How often do these prices update?+
Every 24 hours. Each panel's full service list and pricing is re-pulled from its API, and a daily snapshot is stored so price movement can be tracked over time.
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