2026 campaign-assessment score
How Kolsquare scored
58 / 100
Kolsquare pairs European campaign reporting with a campaign-level comment sentiment score; it names no Chinese network.
| Criterion and evidence | Points |
|---|---|
Campaign explanationReports collect campaign content, sentiment scores comments per post and campaign, and speech-to-text searches creators' videos. Speech search serves casting and is not connected to campaign response. | 18 / 30 |
Reaction analysisEach comment is scored negative, neutral or positive with a campaign weighted average, a 20-comment minimum and replies excluded. The score does not separate creator, product or aspect. | 12 / 20 |
Finished assessmentReports are branded and built from selected KPIs and content, and a beta MCP lets an AI assistant draft recaps with next steps. The software's own reports are not shown carrying written recommendations. | 12 / 20 |
Creator baselineThe listening module benchmarks brands against competitors, and creator and campaign history runs to 24 months or more. Its documentation does not compare a post with that creator's usual results. | 6 / 10 |
China and international coverageCoverage names Instagram, TikTok, YouTube, Facebook, Snapchat and Twitch. No Chinese network is named. | 4 / 10 |
Source trailContent is collected automatically and reports can filter to specific posts. Reading the comments behind a sentiment score is not described. | 6 / 10 |
Evidence differs by product. No product was tested head to head. Scoring methodology · Publisher disclaimer
Kolsquare, part of team.blue since 2024, covers the whole campaign workflow: discovery, campaign CRM, automated content collection and a listening module for competitors. Kolsquare Reports are assembled from the KPIs, creators, content and timelines a team selects, EMV is calculated on the Ayzenberg Index, and data leaves through flexible exports or an API. Campaign reporting
Kolsquare announced in January 2026 a sentiment feature that sorts each comment on Instagram posts and Reels, YouTube and TikTok into negative, neutral or positive, then rolls the results into a weighted campaign score. A post needs at least 20 comments, replies are excluded, and the analysis starts by hand from the dashboard. Kolsquare says it is still tuning the system for campaigns above 500 posts. Sentiment analysis
Speech-to-text search finds creators who say a brand out loud in YouTube and TikTok videos. AI at Kolsquare A beta MCP, announced on July 8, 2026, lets a customer’s AI assistant draft a campaign recap or a three-bullet email from that customer’s own data. Kolsquare MCP
These pieces don’t yet come together in one analysis. Speech-to-text serves casting, the sentiment score is a distribution without themes or product aspects, and the recap’s quality depends on the assistant writing it. Listed coverage is Instagram, TikTok, YouTube, Facebook, Snapchat and Twitch, with no Chinese network.
Kolsquare gives European teams a campaign workflow with a comment read built in. unrandom focuses on connecting creator content to audience response within a defined campaign, in a written assessment. unrandom product