How to spot botted views in a clipping campaign

In a clipping campaign you pay for views. That makes the view count the thing worth faking. Buying views is cheap, and a clipper who buys 50,000 of them on a $1 per 1,000 campaign turns a small spend into a payout you fund.

A single view count can't show this. A count tells you how far a clip went. It says nothing about who watched. To tell the difference you need to look at the clip more than once and compare several things at the same time. No single check proves anything on its own; what matters is when several independent checks point the same way.

1. Watch how the count moves

Real audiences arrive unevenly. A clip picks up views as the feed tests it, slows down, and sometimes takes off again. Bought views tend to arrive the way they were ordered: in one sudden block, or in steps of almost exactly the same size, because view panels deliver in batches.

To see this you need snapshots: the view count recorded several times a day. With four snapshots twelve hours apart you can already see the shape.

Two other movements are worth noting: a count that drops sharply (platforms sometimes remove fake views) and a count that drops and then climbs back to the same number.

Could also beA repost by a large account or a recommendation wave can start suddenly too. Ask the clipper where the traffic came from in that window.

2. Check that engagement keeps pace

People who watch a clip like it, comment on it and share it at fairly steady rates. Bought views rarely bring that behaviour with them. Compare each clip's likes per view with the median for the whole campaign, and pay most attention to the period when views jumped.

In the example above, the 39,860 views that arrived between 13:00 and 17:00 brought 12 new likes. That is about 0.03%, against a campaign median of around 4%. Likes that show up hours after a view burst are a softer version of the same signal.

Could also beAutoplay feeds and broad, passive audiences like less. Ask for average watch time for the burst window.

3. Look at who is commenting

Engagement can be bought too, and bought engagement leaves a pattern. Look for the same accounts commenting on clips from several unrelated clippers, especially within minutes of each other, and for the same comment text appearing across different clips.

This check needs the comment authors and their timestamps. Exact timestamps matter: a comment that says "2 days ago" can't show that ten accounts commented within the same half hour.

Could also beFan communities comment together, and some campaign briefs ask viewers to post a specific comment. Check the brief before reading anything into repeated text.

4. Look at what the payout rewards

Fraud follows the payout rules. Watch for growth that stops right after a clip crosses the payout cap, clips that clear the minimum by a hair, and bursts of views in the last day before the deadline that don't match the rest of the campaign.

Could also beHonest clippers stop promoting once they hit the cap, and reminder posts cause last-minute bumps. Compare with the clipper's other campaigns.

What public numbers can't prove

All four checks use public numbers, and public numbers can't identify the viewers or their intent. They tell you which clips to look at first. Treat a flag as a reason to ask questions, not as a verdict.

The fairest next step is to ask the clipper for their own analytics: where the views came from (the For You, Reels or Shorts feed versus other sources) and the average watch time. Real views come mostly from the feed and get watched for a meaningful share of the clip. A clipper with real views can usually show that in a screenshot.

Write the decision down with its reasons, and let a person review any decision the clipper disputes. Most clippers are honest, and a process they can trust keeps them working with you.

A checklist for your next payout

1. Record each paid clip's views, likes and comments at least four times, a few hours apart.
2. Mark clips whose views per hour jump several times over between two checks, or grow in near-identical steps.
3. Compare likes per view during the jump with the campaign median.
4. Look for accounts that comment on several unrelated clippers' posts within minutes of each other.
5. Check for growth that stops at your cap or arrives right before the deadline.
6. Hold only the clips where two or more of these point the same way, and ask those clippers for their analytics before deciding.

Receipts runs these checks for you.

Receipts snapshots every paid clip on TikTok, Instagram Reels and YouTube Shorts, runs all four checks, and gives you a report with the evidence, an innocent explanation and the next step for every flag. Clippers can appeal with their own analytics.

Send your campaign links on Discord to getreceipts, email receipts@zaphe.dev, or message @clipreceipts on X.