2026 campaign-assessment score
How Kolr scored
51 / 100
Kolr adds comment sentiment and keyword clouds to automated influencer campaign dashboards, with no documented reading of video content or a written assessment.
| Criterion and evidence | Points |
|---|---|
Campaign explanationDeep Report assembles campaign posts into engagement, effectiveness and conversion views, with comment word clouds and tagged post types. No reading of speech or on-screen text is described. | 15 / 30 |
Reaction analysisAI analysis labels campaign comments positive, negative or neutral and builds keyword word clouds. Aspect-level reaction and buying intent are undocumented. | 12 / 20 |
Finished assessmentReports generate automatically and export in one click. The pages describe dashboards and charts, with no written assessment. | 10 / 20 |
Creator baselineThe Kolr Mean and Industry Average give database and category reference points for engagement and view rates. Its documentation does not compare a post with that creator's usual results. | 6 / 10 |
China and international coverageKolr names Facebook, Instagram, YouTube, TikTok, X and Threads, with creator counts by market across Asia and the US. No Chinese network is named. | 4 / 10 |
Source trailCampaign reports list post-level data, and word clouds summarize comments. The pages do not describe opening a finding to the comments behind it. | 4 / 10 |
Evidence differs by product. No product was tested head to head. Scoring methodology · Publisher disclaimer
iKala’s Kolr automates the dull part of a campaign recap, collecting numbers from every creator’s profile. A team imports its creators, lists the collaboration posts, and the Deep Report builds a campaign dashboard with engagement, effectiveness and conversion figures such as cost per engagement. Deep Report
An AI word cloud tallies the keywords in post comments, and comment sentiment labels them positive, negative or neutral. Each post also gets a sentiment value. For context, the report sets results against a “Kolr Mean” calculated across its database and an “Industry Average” for collaborations in that category. Deep Report
Around the report sits a discovery and vetting product. Influencer profiles cover Facebook, Instagram, YouTube, TikTok and X, with follower authenticity estimates and three-month or six-month engagement trends. AI semantic analysis tags post types on Facebook, Instagram and YouTube. Influencer analysis Competitors Analysis compares brand accounts and keyword mentions on selected platforms. Competitors Analysis Kolr’s pricing page publishes creator counts by market, led by the US, Japan, Malaysia, South Korea and Taiwan, and adds Threads to its network list. Pricing
Comment analysis reports labels and keywords, with no breakdown by product aspect or buying intent. The pages describe no reading of what a creator said or showed in a video, and no Chinese network appears in the list. The comparison points are database and industry averages, so a result is never read against that creator’s own past posts.
Agencies in those markets get a client-ready dashboard and a first pass at the comments. Someone still writes the explanation of why the campaign worked.
Kolr serves influencer selection and campaign tracking. unrandom focuses on the assessment after a campaign, with Xiaohongshu and Douyin alongside TikTok, Instagram, YouTube and X. unrandom product