TikTok Data Limitations: Rounded Metrics and GMV Availability
When working with TikTok content in Archive, you may notice some differences in how metrics are displayed compared to other platforms. These limitations come from TikTok's API and affect all third-party tools, not just Archive.
Rounded Engagement Metrics
TikTok's public API returns engagement metrics (views, likes, comments, shares) as rounded approximations rather than exact numbers.
What This Means
Metric Range | How TikTok Rounds |
Under 1,000 | Exact numbers |
1,000 - 10,000 | Rounded to nearest 100 |
10,000 - 1M | Rounded to nearest 1,000 |
Over 1M | Rounded to nearest 10,000+ |
Example
A video with exactly 15,847 likes may display as 15.8K or 16K in Archive, because that's the precision TikTok provides.
Impact on Reporting
Trend analysis remains accurate—you can still identify top-performing content
Exact comparisons between similar-performing videos may be imprecise
Exported data reflects the rounded values from TikTok
GMV Not Available Per Video (TikTok Shop)
For brands using TikTok Shop, Gross Merchandise Value (GMV) data is not available at the individual video level through TikTok's API.
Current Limitations
GMV is only available as aggregate data at the shop/account level
Individual video attribution for sales is not exposed via API
This affects all third-party analytics tools, not just Archive
Workarounds
Use TikTok's native Seller Center for video-level GMV insights
Track GMV trends at the campaign or time-period level in Archive
Correlate high-engagement videos with GMV spikes manually
Why These Limitations Exist
TikTok's API policies prioritize:
User privacy — Approximate numbers reduce fingerprinting risks
Platform control — Detailed commerce data stays within TikTok's ecosystem
API performance — Rounded values reduce data transfer overhead
What You Can Still Do
Despite these limitations, Archive provides valuable TikTok insights:
Identify top-performing content by relative engagement
Track creator performance over time
Compare content performance across campaigns
Monitor brand mention volume and sentiment
Manage usage rights and Spark Codes