Account quality
The five-point criterion behind every claim of real, active accounts on this site — and the audit process that demotes any supplier whose pool drifts below it.
Across the SMM industry, the phrase "real followers" has been used so loosely it's become close to meaningless. Some vendors mean "a profile with a picture"; some mean "not a Selenium-script-controlled bot"; some mean "a real person who agreed to lend their account to a network in exchange for credits". None of those mean the same thing, and none of them tell a buyer what they're actually paying for.
This page is our published definition. Every page on this site that says "real, active accounts" — the homepage hero, every /buy-* service page, every methodology citation — refers to the five-point criterion below. If a supplier in our routing pool drops below the criterion, the supplier is demoted from our scoring system; if a published claim on this site contradicts what's here, the claim is wrong and we owe a correction.
All five must be true for an account to enter our active supply pool. The criteria are conjunctive (AND, not OR) because any single one alone is gameable; the conjunction is the bar.
Threshold
All four signals required
Signals
Profile picture present (not the default platform silhouette) · bio populated with at least one sentence · 5+ public posts in the feed · username does not match auto-generated patterns (e.g. user_a8f2k_29385).
Threshold
≥ 90 days from creation
Signals
Account creation date verified through public profile metadata. New accounts (under 90 days) do not enter the supply pool — they have insufficient signal history to score reliably and platforms apply additional spam-detection scrutiny to fresh accounts.
Threshold
Within realistic distribution
Signals
Follower count is not pathologically lower than following count (a known bot pattern: following 7,500 accounts while having 12 followers). Accounts at the realistic-distribution centre (similar follow:following balance to typical real users in their niche) score higher.
Threshold
Active within last 30 days
Signals
Account has liked, commented on, or followed at least one external account in the past 30 days. Dormant accounts (no recent activity) are excluded from the active supply pool — they fail the 'active' half of the 'real, active' commitment.
Threshold
Tagged or mentioned by other accounts
Signals
The account has been tagged or mentioned in posts by other accounts the account did not pay or coordinate with. This catches the largest remaining bot pattern: accounts that look complete but exist in isolation, never receiving real-world social interaction.
Likes.io aggregates supply from a portfolio of vetted suppliers. We do not operate a single account farm; we operate a routing layer on top of multiple supply sources, each of which is scored weekly on a fixed rubric (see follower-quality scoring). When you place an order, our router selects the supplier whose recent quality and retention scores best match the package tier you bought.
This is the same model used by every reputable services aggregator in the industry — with two specific differences in our rubric: (a) we require the five-point criterion above for any account to score positively, and (b) we cap the contribution of any single supplier at 40% of the routing pool, so a quality regression at any one source affects no more than 40% of orders before our weekly re-score detects it and demotes the supplier.
Any of the following exclude an account from the supply pool entirely. The criteria are conservative — when a signal is ambiguous, we exclude rather than score.
We do not claim our supply pool contains zero unsuitable accounts. The five-point criterion is the floor a supplier's pool must clear on aggregate; on any individual order, a small fraction of accounts may degrade between our weekly re-score and the next sweep (e.g. an account becomes dormant, deletes its bio, or is suspended by the platform). We monitor for this through the 30-day retention rubric and refill any orders whose retention drops more than 5% in the first 30 days — automatically, without you needing to file a ticket.
We also do not claim our supply pool is invisible to platform integrity systems. Instagram, TikTok, YouTube, and the others continuously update how they detect third-party engagement, and no third-party service — ours or anyone else's — can guarantee that platform policy will not change in ways that affect specific accounts. Across our 6+ years of operation we have operated without systemic platform issues, but individual account decisions are platform-determined and outside any third-party service's control.
That honesty is intentional. The SMM industry is full of vendors selling absolute guarantees they cannot keep — "100% safe", "no risk of ban", "algorithm-approved". None of those phrases are within any third-party service's power to deliver. The closest honest version is what's on this page: a published rubric, a refill mechanic when it falls short, and a clear statement of where our control ends.
Related methodology
“Likes.io — Real account definition (revised 2026-05-05). https://likes.io/methodology/real-account-definition”
Machine-readable copies of every methodology page are available at /llms.txt.
