Logo
Analysts & Insights

Numbers you can be questioned about

A sentiment score is worthless if you cannot show the posts behind it. Scano keeps every mention — source, author, date, language, tone — attached to every chart, splits sentiment by aspect rather than collapsing it into one figure, and exports the whole thing in a shape you can hand to someone who will check it.

Personalised demo · Live on your own topics · Exports with the raw mentions

Working setsample dataThree questions on the desk this weekNAVKWhy did price sentiment dropAspect split, last 30 daysIn progressEKIs the Q3 shift real or seasonalCompared with the same weeks last yearNewOSCategory share, exportedSent with the mention-level dataDeliveredPositive sharelast 7 days46%+9 ptsmeasured per aspect, not as one numberSentiment by aspectPrice71%Delivery58%Support44%Packaging22%Every bar exports with the posts behind it.Shared withAMKDSB+6Insights, brand and the client team

Aspect

level sentiment, not one flat score

20+

languages read natively, no round-trip translation

Raw

mentions included in every export

What makes an analysis defensible

The method has to be visible, and the data has to come with it.

Mentions by aspectPositiveNegativeDelivery62%18%Price24%47%App12%66%Support41%29%Loyalty33%21%share of mentions carrying that sentiment · sample dataLanguagesEnglish52%Spanish31%Portuguese12%French5%each scored in its own language, never translated firstTopicscourier delaysrefundapp crashpromo codepackagingloyalty pointssized by mention volume

Sentiment that says what it is about

One post can praise the price and attack the delivery. Aspect-level sentiment keeps those apart, so a flat score never hides two opposite movements.

  • Aspects you define, per brand and per category
  • Kazakh, Russian, English and Turkish read natively
  • Every score traceable to the sentence that produced it
Dashboard+ Add widgetMentions this month5 998+187%vs. last monthMentions vs. categoryEditInfoDuplicateDeleteShare of voice by sourcex.comyoutube.cominstagram.comnews & webMentions by stateCalifornia92%Texas74%New York61%Florida43%Top topicsShippingPriceRefillsSupportsample data

Breakdowns that survive a follow-up question

Topic, region, network, language, author type and media type — cut the same dataset every way the meeting asks for, without re-collecting anything.

  • Comparable date ranges, including year on year
  • Source lists preserved on every chart
  • Excluded sources applied consistently across counts and lists
SRWhy did negative mentions jump on Tuesday?AI Analystreads your dataA carrier outage hit East Coast orders. 312 ofTuesday's 418 negative mentions name shipping,and 71% of those came from one video's replies.negative mentions, last 12 daysRead from312 mentions · shipping1 video · 4.2K repliesYour 8:00 AM briefThree things changed overnight, ranked by what it costs you.Shipping complaints ↑ 4×Competitor launchReach ↑ 22%sent 8:00 AM ET

An assistant that shows its working

Ask a question in plain language and get an answer built from your own mentions, with the posts it used listed underneath.

  • Answers grounded in your workspace, not in general knowledge
  • The supporting mentions listed with every answer
  • Anything it produces can be exported like any other view

What this looks like in your week

The six requests that land on an insights desk.

  • Explain a sentiment move with the posts that caused it
  • Split one score into the aspects it was hiding
  • Compare this quarter with the same weeks last year
  • Cut the same dataset by region, language and network
  • Export raw mentions for someone else's model
  • Answer the follow-up question without re-running the collection

What it replaces

Three reasons an analysis gets waved away.

  • A sentiment number with nothing behind it to inspect.
  • A translated corpus that lost its meaning on the way through English.
  • An export that arrives as a picture of a chart.

By role

The rest of the Solutions set

See Scano in action

To use the system, please fill out the form below. We will contact you and tell you how to work with Scano.

30 minutes · Google Meet · English, Russian or Kazakh

1/2 · Business Email

Media Analysis & Insights Tools | Scano for Analysts | Scano