B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Dated
30,000
30,000 -- average social media buzz volume for Tokopedia (2023-01)
Rata-rata buzz media sosial terkait drama voucher Tokopedia mencapai 30.000 pada hari berikutnya setelah insiden.
Attribution:
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Lighthouse Research Team
Last verified:
·
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Source verified
Evidence graded
Value
30,000
Unit
Count
Data Vintage
2023-01
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
75
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
Sonar Platform
Primary
Tier B
https://sonarplatform.com/id/blunder-epic-voucher-diskon-tokopedia-rugi-7-miliar/ ↗
Source Article
Kekacauan Kode Voucher Diskon Tokopedia yang Menyebabkan Rugi Rp 7 Miliar!
Apa yang sebenarnya terjadi
Netizen Indonesia berbondong-bondong ke media sosial pada pagi hari tanggal 28 Januari setelah banyak yang mendapat berita tentang “distribusi” 2 voucher kode diskon Tokopedia. Platform e-commerce tersebut memberikan diskon sebesar Rp 100.000 dengan transaksi senilai mini…
Original Research
Sonar Platform
· Original study ↗
Methodology
Social listening measurement (DXT360 Analytics) of Twitter buzz around the voucher incident
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
Tokopedia: 30,000 average social media buzz volume. Source: Sonar Platform (2023-01). Via Lighthouse Intelligence -- https://lighthousedata.io/data/tokopedia-voucher-buzz-average-30k
HTML Embed
<blockquote cite="https://lighthousedata.io/data/tokopedia-voucher-buzz-average-30k" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>30,000</strong> -- average social media buzz volume for Tokopedia<br><small>Source: Sonar Platform (2023-01) · <a href="https://lighthousedata.io/data/tokopedia-voucher-buzz-average-30k" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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