Grow your TikTok with real accounts.

Not from real-account orders paced inside the probe window. TikTok's spam-detection heuristic is tuned for the bot-pattern signature: instant 50K-view dumps from same-IP datacenter ranges, zero watch-time on every view, no follow-through engagement, identical user-agent strings. Real-account delivery doesn't match any of those. Platform enforcement has been focused on coordinated inauthentic behavior and bot networks, not creators using paced real-account services. Bot-tier orders do get accounts dampened or rare-case banned — which is exactly why we don't ship them.

Hierarchy: completion rate > save rate > share rate > comments > likes > follows. Completion (full play-through) is the master signal — a 30-second video that 70% of viewers finish outranks a 30-second video that 80% of viewers like but only 25% finish. Saves weight heavier than likes because they're a higher-effort signal. Comments from accounts the viewer has never interacted with weight heaviest of all because the ranker treats new-connection formation as a high-value outcome.

Yes, but the term is overused. What creators call a 'shadowban' is usually one of three things: (1) a single low-watch-through video pulling the account-level baseline down for 2–3 weeks, (2) a community-guideline strike visible in the support inbox dampening the account 7–30 days, or (3) the anti-spam heuristic flagging a sudden engagement spike from an unvetted source. The third is the mode that hits creators using bot-tier services. The practical fix is the same: pause uploads for 7 days, review the most recent video for sub-50% watch-through or guideline issues, then upload high-quality content and let the ranker re-baseline.

TikTok counts a view at 1 second of watch time. That's the metric on your view counter and the figure shown in basic analytics. The FYP ranker reads completion rate (full play-through) and re-watch rate as separate, much stronger signals. A video with 10K 1-second views and 200 completions tells the ranker the hook works but the content doesn't hold; distribution dampens after the probe wave. A video with 2K 1-second views and 1,500 completions tells the ranker the content holds; distribution expands aggressively. When buying TikTok views, what you want is real-account watch-through past the threshold, not iframe-loop bots.

Highly niche-dependent, but a working baseline: the FYP ranker is looking for above-baseline-for-your-niche-and-account-size velocity. A 5K-follower dance creator probably needs 200–400 likes in the first hour and 800–1,500 in the first 2–3 hours to clear the first probe gate. A 50K-follower comedy creator needs more like 2,000–5,000 likes in that window. The signal isn't an absolute number — the ranker normalizes against your account's recent baseline. New accounts with no baseline get tested against the niche cohort instead.

Depends on the goal. For pure FYP-distribution wins (a single video going viral), views + completion + saves are what you optimize. Follower count doesn't drive the first-wave probe distribution. Follower count heavily shapes the replay wave (re-surfacing strong videos to recent followers) and is the gate for the Creator Fund (10K), TikTok Shop creator status, and most brand partnerships. So: views for individual video wins, followers for sustained creator-economy access. Most serious creators run both products in parallel; we sell them in tandem because the algorithm reads them in tandem.

Cautiously, yes — but pacing matters more for new accounts than for established ones. A brand-new account jumping from 0 to 10K likes overnight is the exact bot-pattern signature the anti-spam heuristic was tuned to flag. The right play for new accounts: post 5–7 organic videos first to establish a baseline, then layer real-account paced engagement on top of the next 3–5 videos to give the ranker a shape to read. Accounts with at least 30 days of organic activity see far better outcomes from purchased engagement than accounts purchasing engagement on day 1.

Different ranker shapes. Instagram's recommendation engine reads engagement-rate as a longer-window account-level signal (calculated over hours and days). TikTok's FYP ranker reads engagement-velocity as a per-video early-window signal (calculated over minutes in the first 2–4 hours). On Instagram, a slow-growing 8% engagement rate over a week sustains discovery; on TikTok, a fast-rising velocity curve in the first 60–90 minutes is what unlocks the next distribution wave. That's why TikTok orders are front-loaded by default and Instagram orders are paced wider.