Influencer Supply Chain Transparency Log

This dataset provides detailed logs of influencer-driven product supply chains for social media campaigns, capturing transparency, authenticity, bottlenecks, and sustainability risks at each stage. It empowers operations managers and compliance officers to monitor campaign integrity, identify supply chain issues, and assess regulatory compliance across influencer partnerships.

  • last updated 20 Dec 2025
  • by GoMask
The brief that made it

Monitor and audit supply chain transparency in influencer campaigns

Sample rows

preview · 8 of 120 rows · all 20 columns
log_idstringstage_statusstringtransparency_scorefloatbottleneck_flagbooleanlocation_countrystringcampaign_idstringinfluencer_idstringinfluencer_namestringproduct_idstringproduct_namestringbrand_namestringsupply_chain_stagestringstage_start_datedatestage_end_datedateauthenticity_verifiedbooleansustainability_risk_levelstringbottleneck_descriptionstringcompliance_flagbooleanlast_updateddatetimelocation_citystring
log_00001a23bc5completed0.86falseSwitzerlandcamp_2023abcdeinf_0093abcdeva_martinsprod_67291aurora pure silk scarfaurorawearsourcing2023-12-182023-12-21truelowblanktrue2023-12-22T10:18:00Zurich
log_00002a24bd6in-progress0.41trueItalycamp_2023abcdeinf_0093abcdeva_martinsprod_67291aurora pure silk scarfaurorawearmanufacturing2023-12-22blanktruemediumTextile machinery maintenance delaysfalse2023-12-25T14:09:00Milan
log_00003a25be7delayed0.22trueItalycamp_2023abcdeinf_0093abcdeva_martinsprod_67291aurora pure silk scarfaurorawearshipping2023-12-26blankfalsehighCustoms backlog at Milan airportfalse2023-12-28T10:20:00Milan
log_00004a26bf8verified0.99falseSwitzerlandcamp_2023abcdeinf_0093abcdeva_martinsprod_67291aurora pure silk scarfaurorawearretail2023-12-282024-01-02truelowblanktrue2024-01-02T17:50:00Zurich
log_00005a27c09completed0.74falseSwitzerlandcamp_2023abcdeinf_0093abcdeva_martinsprod_67291aurora pure silk scarfaurorawearpost-sale2024-01-032024-01-05truemediumblanktrue2024-01-05T11:16:00Zurich
log_00006b12d10completed0.81falseJapancamp_2024mktplcinf_0109efghsamuel.tanprod_88910zenith smart water bottlezenithlifesourcing2024-01-102024-01-13truemediumblanktrue2024-01-13T13:40:00Osaka
log_00007b13d21delayed0.05trueJapancamp_2024mktplcinf_0109efghsamuel.tanprod_88910zenith smart water bottlezenithlifemanufacturing2024-01-14blankfalsehighMicrochip supply interruption in Osakafalse2024-01-18T16:15:00Osaka
log_00008b14d32completed0.93falseSingaporecamp_2024mktplcinf_0109efghsamuel.tanprod_88910zenith smart water bottlezenithlifeshipping2024-01-192024-01-22truelowblanktrue2024-01-22T19:03:00Singapore

What the 120 rows show

from the 120-row sample

Delayed (stage status) stands out: 26 of its 26 rows have bottleneck_flag = true, against 13 of 94 for the rest.

  • 33%bottleneck_flag = true
  • 0.73median transparency_score
  • 4sustainability risk levels
  • 5supply chain stages
  • 26campaigns
  • 26influencers
Bottleneck flag rate by stage_statusbottleneck_flag = true
0%50%100%0%comple…0 of 4924%in-pro…5 of 21100%delayed26 of 260%verifi…0 of 16100%unveri…8 of 8
transparency_score120 rows, in bands of 0.1
0153015714256517222700.51transparency_score →

Median 0.73, from 0.0 to 1.0.

location_country120 rows · top 10 of 40 values
  1. Sweden10
  2. France9
  3. Switzerland7
  4. Finland7
  5. Norway7
  6. Italy5
  7. Singapore5
  8. Germany5
  9. China5
  10. Denmark4
20 columns by typefrom the column list below
  • string 13
  • float 1
  • date 2
  • datetime 1
  • boolean 3

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 13 columns
log_idstringUnique identifier for each transparency log entryuniquelog_00001a23bc5
campaign_idstringUnique identifier for the social media campaigncamp_2023abcde
influencer_idstringUnique identifier for the influencer involved in the campaigninf_0093abcd
influencer_namestringFull name or handle of the influencereva_martins
product_idstringUnique identifier for the product being promotedprod_67291
product_namestringName of the product being promotedaurora pure silk scarf
brand_namestringName of the brand associated with the productaurorawear
supply_chain_stagestringCurrent stage in the supply chain (e.g., sourcing, manufacturing, shipping, retail)sourcing · manufacturing · shipping · retail · post-salesourcing
stage_statusstringStatus of the supply chain stage (e.g., completed, in-progress, delayed, verified)completed · in-progress · delayed · verified · unverifiedcompleted
sustainability_risk_levelstringAssessed sustainability risk level for the supply chain stagelow · medium · high · unknown · optionallow
bottleneck_descriptionstringDescription of the bottleneck, if anyoptionalTextile machinery mainten…
location_countrystringCountry where the supply chain stage occursoptionalSwitzerland
location_citystringCity where the supply chain stage occursoptionalZurich
Numbers 1 column
transparency_scorefloatNumerical score (0-1) representing transparency at this stage0 to 1 · optional0.86
Dates and times 3 columns
stage_start_datedateDate when the supply chain stage startedoptional2023-12-18
stage_end_datedateDate when the supply chain stage endedoptional2023-12-21
last_updateddatetimeTimestamp of the last update to this log entry2023-12-22T10:18:00
True or false 3 columns
authenticity_verifiedbooleanIndicates if the authenticity of the product or stage has been verifiedtrue
bottleneck_flagbooleanIndicates if a bottleneck was identified at this stagefalse
compliance_flagbooleanIndicates if the supply chain stage complies with relevant regulationstrue

Use it for

  • bottleneck flag33%39 of 120 rowsmean transparency sco…0.85comp…0.51in-p…0.17dela…0.89veri…

    A marketing dashboard

    The bottleneck_flag rate, transparency_score by stage_status and a breakdown of location_country. Excel, Power BI or Tableau.

  • Why do 39 of 120 rows have bottleneck_flag = true?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable logs with campaign_id, influencer_id and influencer_name to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 20 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset120 rows20 columns
Yours1,000 rows20 columnslocation_country: UK only

blueprint · influencer-supply-chain-transparency-log

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each influencer must disclose all product sourcing partners.
  • Supply chain stages are documented with timestamped events.
  • Sustainability certifications must be recorded for each partner.
  • Chain disruptions trigger automated notification entries.
  • Verified transparency score is calculated for every campaign.
Rows
Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
influencer-supply-chain-transparency-log

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