What records you should keep after a seeding campaign

A campaign summary tells you the totals. It does not tell you whose video produced them. Once the numbers are separated from the creator, the video and the upload time, the next campaign starts from zero again. What a brand should be left holding is not a performance number but performance connected to its context.

What stays after the campaign closes

The dashboard is open during the campaign and stays available after it closes. It holds:

• Views, likes, comments, shares, saves and engagement, per creator
• The exact upload timestamp
• A link to each individual video
• The creator's profile link
• A CSV export of the whole data set

The point is that none of these are stored apart from each other. When you look at a save count again six months later, what makes it useful is being able to see which creator and which video it came from, and when that video went up.

Do not treat creator count and content count as the same number

Assume one creator equals one video and you will mis-size both your target and your operating load. In one of our Indonesian high-volume campaigns, counting uploads still in processing, completed creators averaged 1.8 contents each. [3] That is why the dashboard records each participant's individual video links and upload times rather than a headcount.

That figure came from that campaign's product, schedule and creator conditions. It is not a forecast or a guarantee for any other campaign. The denominator of the recovery rate, the counting window and the exclusion rules are published together in how to choose an agency for 1,000+ seeding placements a month.

Why a totals summary is not enough

Choosing the next set of creators needs more than a campaign total. When per-creator engagement is attached to the video and profile links, you can go back, watch what actually performed, and start from a specific content type rather than a hunch.

We treat the campaign record as something that accumulates for the brand, not as a one-off reporting artefact. Keep the dashboard and the CSV and the next review starts from evidence.

What the record does not do is select your next creators or guarantee the next campaign's result. Its job is to stop you re-deriving everything each time. For how those attributes are read in the first place, see what data-driven creator matching really means.

For shipments with no verified post, split delivery state from publishing state first — the product arrived but no video went up walks through that.

Evidence

1. Dashboard fields available during and after the campaign, and the CSV export — https://playxlab.com/lab/guides/how-tiktok-seeding-works/
2. Campaign scope, published billing unit and recovery figures — https://playxlab.com/about/
3. Contents per completed creator in one Indonesian high-volume campaign, with counting window and exclusions — PLAYLAB internal operating record, reviewed 2026-09. Disclosure basis and limits: https://playxlab.com/lab/guides/choosing-seeding-agency/